Top Banner
Student Magnus Gule Dynamic process simulation of thermal power plant on offshore oil and gas installations Trondheim, March 11th, 2016 Project work NTNU Norwegian University of Science and Technology Faculty of Engineering Science and Technology Department of Energy and Process Engineering
95

Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

Jul 13, 2018

Download

Documents

duongtu
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

Student Magnus Gule

Dynamic process simulation of thermal

power plant on offshore oil and gas

installations

Trondheim, March 11th, 2016

Pro

ject w

ork

NT

NU

Norw

egia

n U

niv

ers

ity

of

Scie

nce a

nd T

echnolo

gy

Faculty o

f E

ngin

eering S

cie

nce a

nd T

echnolo

gy

Depart

ment of E

nerg

y and P

rocess E

ngin

eering

Page 2: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

1

Page 3: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

2

Preface

This project was written autumn 2015 at NTNU, Department of Energy and Process

Engineering. I would really like to thank my supervisor Lars Olaf Nord for guidance

and motivational boost during my work. I’d also like to thank Rubén Mocholí

Montañés for technical guidance and advising during the modelling and simulation

process.

Page 4: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

3

Abstract

Offshore installations represent today one of the largest demands related to electrical

power consumption on the Norwegian continental shelf (NCS). To cover the supply

almost all platforms are powered by one or more simple gas turbines, which emits

approximately 80% of all greenhouse gasses produced in the offshore petroleum

sector. Due to increases in CO2-taxation set by the Norwegian Government,

companies are currently looking for alternatives like the combined cycle to reduce

emissions and increase efficiency on the gas turbines.

During early 1999 and 2000, a set for three combined cycles were installed on the

Norwegian continental shelf, and have later been upgraded by newer heat recovery

steam generators (HRSGs). Due to harsh weather conditions, both weight and

volume limitation, and the need for variable power demand, makes further retrofit

installations of CCs challenging.

There exist few literature studies on transient operation conditions for onshore

combined cycles, and close to none for offshore platforms. The few studies

investigated primary concern triple-pressure onshore combined cycle power plants

(CCPPs) with drum-based HRSGs. Newer offshore HRSGs are based on drum-less

once-through steam cycles is therefore important to study.

A comparative literature study of different HRSG-skids was evaluated and different

regulation techniques for part-load of the steam cycle investigated. Based on this a

dynamic model was built in Dymola based on pre-simulated steady-state data

resembling the Oseberg D combined cycle. The HRSG-module was parameterized

using two-phase counter-current heat exchangers from the Thermopower library and

calibrated to the original data.

The preliminary model shows expected heat transfer behavior, but initially show

large oscillations and maintain unstable startup conditions especially regarding high

pressures. This is explained through rigid boundary conditions for the current model.

Implementation of valve control and pumps to the model is vital to further work and

to understand the real behavior of the combined cycle.

Page 5: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

4

Contents

Preface ......................................................................................................................... 1

Abstract ....................................................................................................................... 3

Contents ...................................................................................................................... 4

List of figures and tables .............................................................................................. 7

Acronyms and Abbreviations ....................................................................................... 9

Nomenclature ............................................................................................................. 10

1 Introduction ........................................................................................................ 11

1.1 Background and motivation .......................................................................... 12

1.2 Thesis objective and outline ......................................................................... 13

1.3 Limitations of work....................................................................................... 14

1.4 Further work ................................................................................................ 14

1.5 Literature study ............................................................................................ 15

2 Combined Cycles Power Plants – An introduction ............................................. 15

3 The components of a CCPP ............................................................................... 17

3.1 The gas turbine............................................................................................. 18

3.2 The steam cycle ............................................................................................ 19

3.3 HRSG ........................................................................................................... 20

3.3.1 Finned tube heat exchanger ................................................................... 21

3.3.2 Sections in the HRSG ............................................................................ 23

3.4 Water treatment ........................................................................................... 25

4 Onshore and offshore BCC ................................................................................. 27

4.1 Existing CC platforms .................................................................................. 27

4.2 Eldfisk ........................................................................................................... 28

4.2.1 Replacement of HRSG ........................................................................... 29

4.3 Oseberg D ..................................................................................................... 30

Page 6: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

5

4.3.1 Dual OTST replacement in 2010 ............................................................ 32

4.4 Snorre B ....................................................................................................... 32

4.5 Backup power on offshore platforms ............................................................. 32

4.6 Challenges for further CC offshore................................................................ 33

5 HRSG designs and configurations ....................................................................... 35

5.1 Drum based HRSG ....................................................................................... 35

5.2 The influence of pressure levels ..................................................................... 37

5.3 Once Through Steam Generator ................................................................... 39

5.4 Development of compact HRSGs .................................................................. 41

5.5 Circular Steam Generator (CSG) ................................................................. 42

5.6 Differences - Drum and Once Through Boilers (rydd) .................................. 43

6 Control aspects and regulation ........................................................................... 47

6.1 Drum level regulation ................................................................................... 47

6.1.1 Shrink and swell ..................................................................................... 47

6.1 Off-design and partial arc control ................................................................. 49

6.1.1 Part load regulation ............................................................................... 51

6.1.2 Partial arc .............................................................................................. 52

6.2 Bypass stack flow ......................................................................................... 53

6.3 Supplementary firing .................................................................................... 54

6.4 Startup and shutdown of CC ........................................................................ 54

7 Dynamic and Steady-state modelling .................................................................. 55

8 Modelling with Dymola/Modelica ....................................................................... 56

8.1 Working with ThermoPower ........................................................................ 56

8.2 Fundamental equations ................................................................................. 58

8.3 Metal wall model .......................................................................................... 59

8.1 Discretization in FEM .................................................................................. 60

Page 7: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

6

8.2 Approach to model and workload ................................................................. 61

8.3 HRSG build-up ............................................................................................. 62

8.4 Challenges of parametrization ....................................................................... 64

8.5 Pressure drop calculations ............................................................................ 66

8.6 Calibrating the HRSG heat transfer ............................................................. 67

9 Evaluation of model ............................................................................................ 70

10 Results of preliminary tests ................................................................................ 72

10.1 Warm start-up ramp: 5 min ...................................................................... 72

10.2 Part-load: GT ramp 80% to 100% and back ............................................. 76

11 Review of work ................................................................................................... 80

12 Conclusion .......................................................................................................... 81

13 Appendix ............................................................................................................ 83

14 References ........................................................................................................... 90

Page 8: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

7

List of figures and tables Figure 1: Ts-diagram of the combined cycle. Brayton as top cycle, and Rankine as bottom cycle. ...... 16

Figure 2: Schematic illustration of a dual-pressure CCPP with steam drums. ...................................... 18

Figure 3: General Electric LM2500+G4 gas turbine. [8] ........................................................................ 19

Figure 4: The HRSG units of 660MW land-based combined cycle power plant (CCPP)[9] . ................ 21

Figure 5: Right: High pressure supeheater fin configuration of Oseberg D. Left: Illustration from

frbiz.com [10] .......................................................................................................................................... 22

Figure 6: Schematics of vertical HRSG module. The illustration shown gives the exact number of

pipes, and thermodynamic values during steady-state operating. (Edited figure by source: Thermoflow-

data by Lars O. Nord [14]) ..................................................................................................................... 24

Figure 7: TQ-diagram of single pressure HRSG ..................................................................................... 25

Figure 8: Illustration of the flows inside a deaerator [16] ....................................................................... 26

Figure 9: Skid of the Eldfisk combined cycle plant from 1999 [4] .......................................................... 28

Figure 10: Oseberg D 1999 steam power cycle, drum based HRSG [4] .................................................. 31

Figure 11: Model of OTSG module installed for Oseberg D 2010. Coutesy of Macchi [21] .................... 31

Figure 12: Comparison of weight reduction of drum-based HRSG versus OTSG [24]. Note that wet

weight axis starts at 100 tons. ................................................................................................................ 34

Figure 13: Size comparison between different HRSG skids (Courtesy of HRS [19]) .............................. 35

Figure 14: Courtesy of ISA.org [25] ........................................................................................................ 36

Figure 15: A typical layout of a single-pressure CCPP, with corresponding TQ-diagram [6] ................ 37

Figure 16: Triple pressure level HRSG with reheating. .......................................................................... 38

Figure 17: (right) TQ-diagram of Dual pressure level HRSG. A dual-pressure combined cycle with

reheating (Reheating is the last part on the hot end) [6] ....................................................................... 38

Figure 18: Efficiency of different CCPP configurations without parasitic or step-up. Heat to power

effiency. [6] .............................................................................................................................................. 39

Figure 19: Simplified CC for a once-through steam generation (OTSG) system. Illustration taken from

Jonshagen et.al. [6] ................................................................................................................................. 40

Figure 20: Comparative sizing of traditional onshore drum-based HRSG and newer OTSG. [29] ......... 41

Figure 21: Circular HRSG concept by HRS [19] .................................................................................... 43

Figure 22: Circulations of water inside Vertical OTSG and Drum-based HRSG. (Courtesy of NEM

Group [32]).............................................................................................................................................. 44

Figure 23: Courtesy of Milton R. Beychok [33] ...................................................................................... 44

Figure 24: Drum based skit to the left; OTSG to the right. Courtesy of IST [27] ................................. 45

Figure 25: Measurement of drum level. [25] ........................................................................................... 48

Figure 26: Measurement using gage glass ............................................................................................... 49

Figure 27: Sliding pressure opeation [35] ................................................................................................ 50

Figure 28: Illustraiton of a partial-arc inlet [6] ....................................................................................... 52

Figure 29: Bypass duct with integrated silencer for Vertical HRSG. Source: Courtesy of HRS [19] ..... 53

Page 9: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

8

Figure 30: Finite element method (FEM) 1D analysis schematic diagram [42] ..................................... 58

Figure 31: HRSG build-up. Components inside are numbered and described in table. ......................... 63

Figure 32: Definition of different exchange surfaces in the HE2ph model .............................................. 65

Figure 33: Single HE validation with seperate pressure drop module .................................................... 67

Figure 34: HRSG module for calibration ................................................................................................ 69

Figure 35: Preliminary model for simulation. ......................................................................................... 70

Figure 36: Semi-stable model of the Oseberg D plant, including pumps and pressure-control thorugh

valves. ..................................................................................................................................................... 71

Tables:

Table 1: HRSG specification for Oseberg D fins and tubing .................................................................. 22

Table 2: Table showing the details about the components inside the HE2ph ........................................ 62

Table 3: Average HTC values for a HRSG............................................................................................. 68

Page 10: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

9

Acronyms and Abbreviations

BCC Bottoming Combined Cycle

CC Combined Cycle

CCGT Combined Cycle Gas Turbine

CCGT Combined-Cycle Gas Turbine

OTSG Once-Through Steam Generator

CCPP Combined Cycle Power Plant

CSG Circular Steam Generation

DAEs Ordinary Differential-Algebraic Equations

FEM Final Element Methods

FG Flue Gas

FPSO Floating Production Storage and Offloading Unit

GHG Greenhouse Gases

GT Gas Turbine

GWP Global Warming Potential

HE Heat Exchanger

HP High pressure

HPB High Pressure Boiler

HPE High Pressure Economizer

HPS High Pressure Superheater

HRSG Heat Recovery Steam Generator

HTC Heat Transfer Coefficient

LTE Low Temperature Economizer

NCS Norwegian Continental Shelf

NCS Norwegian Continental Shelf

PDAE Partial Differential and Algebraic Equations

WHRU Waste Heat Recovery Unit

Page 11: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

10

Nomenclature

𝜙𝑖 heat flux enetering pipe across lateral surface [W/m2]

ℎ specific enthalpy [J/kg]

𝜔 wetter perimeter [m]

𝐶𝑓 Fanning friction factor [-]

𝜌 density [kg/m3]

𝑤 massflow [kg/s]

𝐾𝑓 Hydraulic friction coefficient [-]

𝐾𝑓,𝑐 Friction factor correction coefficient [-]

𝑔 acceleration of gravity [m/s]

𝑝 pressure [Pa]

𝐴 area [m2]

𝑡 time [s]

𝑥 1-dimentional direction [m]

𝑇 temperature [K]

𝑄 heat transfer rate

Page 12: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

11

1 Introduction

The offshore industry is heavily reliant on flexible and reliant energy production for

their daily operations. Gas turbines (GTs) are generally the running source for both

electric and mechanical power demand offshore, and is responsible for about 27% of

the total Norwegian CO2-emissions [1, 2]. With political motivation to reduce

greenhouse gas emissions (GHGs) and the coherent increase of CO2-taxations in 2013

[3], the Norwegian offshore industry is looking towards reliant alternatives to the

simple gas turbines cycles to power the Norwegian continental shelf (NCS). To reduce

taxation cost, electrification of the NCS is being evaluated together with improved

combined cycle technology to meet the required emission levels. Nevertheless,

combined-cycle gas turbines (CCGTs) has since 1991 only been implemented on a

total of three platforms on the NCS. Challenges regarding offset operation conditions,

flexibility, space and weight requirements and the need for make-up water remains

the primary issues for the implementation of new CCGTs offshore.

This study will have its focus on the transient operations conditions of the bottoming

steam cycle. A study of both drum-type and once-through steam generation (OTSG)

for both operation on offshore and onshore will be investigated. Control aspects and

regulation of the two different steam generation systems are also being discussed.

Based on this study, an appropriate model for an offshore bottoming combined cycle

(BCC) will be built and thus simulated. Limitations to the current heat recovery

units will be presented and evaluated. The focus will be on dynamics of the CC in

transient part-load operation, as well as warm startup.

Page 13: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

12

1.1 Background and motivation

The Norwegian oil and gas sector represents today one of the largest demands related

to electrical power consumption in the industry. The political motivation to reduce

greenhouse gas emissions is of high interest both nationally and internationally, which

in 2013 resulted in a doubling of the current CO2-taxation in Norway. While gas

turbines still being the primary source for both electrical and mechanical energy

supply for operation on the NCS, companies currently operating the fields are looking

for alternatives to reduce the cost due to the CO2-taxation. Although there has been

high profiled investments in R&D projects regarding CO2-cleansing and deposition,

the only practical solutions has been improvement of current GT technology. Pål

Kloster [4] claims that the CO2-reduction in existing combined cycle systems offshore

on the NCS represented between 50-92 ktonnes CO2 per platform in 1999. This

corresponds to savings in emission taxation of about 22-40 million NOK per year, and

represents a fuel and emission reduction of about 25% compared to the traditional

usage of single gas turbine cycles. With the increased expenses in emission taxes and

CO2-quotas, projects like COMPACTS from SINTEF, and EFFORT/PETROMAKS

from NTNU have originated to research on potential weight reduction, materials and

space requirements that has been the long-lasting limitations holding back the

implementation of CC in the Norwegian oil industry.

The main concerns about implementing combined cycle technology offshore is

primarily related towards

Rapid changes in both heat and power demand.

Volume and weight requirements for retrofit design on existing platforms

already installed with single-cycle gas turbines.

Availability of make-up water and qualified purification equipment in the

steam cycle.

Lifetime and reliability

Thermos-mechanical fatigue and creep on materials, corrosion and lifetime

reduction of components due to irregular to discontinuous operation demand.

Justification regarding to total investment cost and savings, related to CO2-

taxation policies, which has changed massively since 1991.

Page 14: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

13

It is thus important to look at bottoming combined cycles as an alternative to

electrification of large parts of the NCS, which is heavily debated in politics to date.

Platforms which operate remotely from other oil and gas installations would likely

favor the most of CC-technology. The political debate is in largely biased toward

electrification, and hence it is important to include alternatives while taking lifetime

emission analysis into the evaluation.

This is especially important given that 80% of the NCS emission stem directly from

gas turbine operation. As mentioned, a reduction of about 25% in fuel and emissions

represents a substantial amount when taken electrification into account.

Nonetheless, regarding offshore as the main objective of study, onshore power

production is also heavily reliant on dynamic operation with a fluctuating abundance

of renewable energy being produced in Europe. The need to quickly regulate power

production will be of high interest in the foreseeable future.

1.2 Thesis objective and outline

The aim for the study is to investigate and simulate a chosen bottoming combined

cycle applicable for offshore platforms, with emphasis on flexible and transient

operation conditions.

The work to be done can be summarized as:

Literature study on current waste heat recovery units (WHRU) technology,

both drum-type (HRSG) and once-through steam generation systems (OTSG),

onshore as well as offshore.

Investigating control aspects of the steam cycle, and how various components

in the cycle regulate and perform during transient operation. A control

strategy should be included for the steam cycle.

Acquire and use suggested thermodynamic parameters and dimensions based

on already existing BCC-technology offshore and scientific studies.

Page 15: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

14

Constructing and selecting an applicable steam cycle for further study based

on operation conditions in offshore environments.

Build a bottom-up model using Dymola/Modelica simulation software.

Simulation will be focused on plant load changes.

Suggest further work and improvements of current model

It should be emphasized that only preliminary results of the model are expected from

the work of this project thesis. Studies of dynamic behavior of a power plant can be

time consuming, and it is expected that the current work will be material for further

study for a potential MSc thesis.

1.3 Limitations of work

Due to the large coverage of literature studies on combined heat cycles, with primary

focus on onshore plants, it is vital that the work is done within well-defined scope

and limits. Some of the of these are made specifically here, and others explained

further on in the report.

Emissions of NOx and CO2 linked to gas turbine offset operation conditions

will not be studied.

Dynamic model build will be based on already existing steady-state acquired

data. Study of transient operations and behavior of the system are the main

objective.

Detailed studies of thermal expansion and contraction of thermal fatigue will

not be included. Neither will start-up procedures, or shut-down procedures of

CC, with regard to scheduled or controlled steps.

1.4 Further work

Simulations including steam-drum dynamic model and additional components

to fulfill the whole power plant system.

Include multiple pressure cycles and drums in simulation.

Page 16: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

15

Build a refined and more detailed HRSG-component,

Detailed data validation (offset-data) with steady state simulation in Dymola

toward other software.

More detailed analysis of the behavior of a the HRSG system with

Study actual limitations to HRSG components regarding fatigue, stresses and

equipment limitations.

1.5 Literature study

Prior to the project thesis a course regarding literature search was attended and

recommended by supervisor Lars O. Nord available on NTNU. The course introduced

to detailed library search engines, both available at NTNU and to external databases.

The initial approach came to harvest material regarding “offshore dynamic combined

cycle” literature from the ORIA, the NTNU database. However, none to few articles

were initially found. Many publications on onshore three-pressure stage drum-based

HRSGs was found, most steady-state literature, but also some dynamic behaviors.

Most of the offshore study can be linked to research done here at NTNU, and is

regarded as quite new material in the context of bottoming cycle history.

It was long evaluated that dynamic modelling of solar powered BCC was the closest

to dynamic CC studies that could be found. In December 2015 two major articles

regarding dynamic simulation were released [5], [2]. Also co-supervisor Rubén Mocholí

Montañés have been of great help with references regarding the main theory of the

study. The result is that most material of this study came from references of these

papers, because of the lack of study of dynamic combined cycle systems found by

general search engines.

2 Combined Cycles Power Plants – An introduction

Since the introduction of the industrial revolution back in the 1800s, the world’s

energy demand has quickly grown. The need for electric power grew rapidly, and with

it more efficient power-producing plants. When it became clear that combustion

Page 17: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

16

products had an impact on the environment and that fossil fuel resources are finite,

efforts devoted to developing more energy efficient power plants intensified.

The steam boiler (or rather the steam cycle) represents today about 80% of all

land-based electricity generation in the world [6]. Energy sources like coal, oil and gas

fill up the most common and finite sources, but steam production from nuclear,

biomass and solar energy does also represent a large part of the energy-mix.

A various combinations of thermodynamic heat-cycles have through history

been tested with the aim of combining high power, flexibility and low waste heat.

These cycles are referred to as combined cycles, and are typically defined as any

power-producing unit consisting of two or more power-producing cycles. They consist

of a topping cycle and a bottoming cycle, where the waste heat from the topping

cycle constitutes the heat input to the bottoming cycle. The most common combined

cycle consists of a gas turbine (Brayton cycle) as a topping cycle and a steam-

turbine-based cycle (Rankine cycle) as a bottoming cycle. See figure 1. Plants

employing this combination are common, and are normally referred to as combined

cycle power plants, or CCPPs for short.

Figure 1: Ts-diagram of the combined cycle. Brayton as top cycle, and Rankine as bottom cycle.

Page 18: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

17

3 The components of a CCPP

Figure 2 shows a simplified schematic of a CCPP and its three main components: a

gas turbine, a steam turbine and a HRSG. The gas turbine operates at high

temperature and pressure where it produces power connected to a generator. The

flue-gas from the gas turbine is relatively hot and contain a large amount of energy.

This energy is fed to the HRSG where the flue-gas is evaporates and superheat water

to a high temperature under high pressure. The high-temperature steam is delivered

to a steam turbine where it expands and produces work. The steam is routed through

the steam turbine, and thereby condensed by the evaporator using cold water, usually

seawater as the cooling fluid. The condensed water is then routed back to the HRSG

for a new cycle of recovering heat, and the process repeats.

The energy in the exhaust gases, which is by far the major loss in the gas turbine, is

thus utilized to produce additional power from a second cycle. Roughly about two

thirds of the power of the plant is produced by the gas turbine.

Page 19: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

18

Figure 2: Schematic illustration of a dual-pressure CCPP with steam drums.

3.1 The gas turbine

The gas turbine (GT) is the topping cycle, which is a normal open Brayton cycle

with some special features. A simple-cycle gas turbine, i.e a gas turbine not operated

in a combined cycle, has maximum efficiency at a high pressure ratio. A high

pressure ratio results in a large expansion and hence the temperature of the exhaust

gas is low. The low exhaust gas temperatures means a reduction in stack loss and

therefore a high efficiency. Too high pressure ratio results in the compressor

consuming a large amount of energy in comparison to the energy that can be added

with the fuel without exceeding the maximum turbine inlet temperature.

When a gas turbine is to be designed for a combined-cycle operation, it is no longer

desirable to have a low flue-gas temperature. A low flue-gas temperature would give a

low steam admittance temperature in the bottoming steam cycle, which limits the

efficiency and power output [7]. Therefore, the pressure ratio of the gas turbine

should be lower than for a single-cycle unit to ensure that the bottoming cycle

Page 20: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

19

receives energy at a suitable temperature for steam production. On the other hand,

too low a pressure ratio will lead to poor gas turbine efficiency.

In today’s plants, with GT combustor outlet temperatures of 1400-1500C and steam

turbine inlet temperatures of 450-600°C, the pressure ratio should be in the range of

17-22 bar. In a sequentially fired gas turbine, the pressure ratio will be higher, with

the second combustor at the pressure level of an ordinary combine-cycle gas turbine.

Sequentially fired gas turbines are though not much used anymore the 1970 [6].

In some plants, like in the offshore Oseberg D combined cycle, two or more gas

turbines run in parallel to generate higher gas temperatures for higher efficiency. This

is common on the few combined cycle plants introduced on the NCS. This also gives

extra flexibility and better part-load performance [4]. More details on these will be

further discussed in chapter 4.

Figure 3: General Electric LM2500+G4 gas turbine. [8]

3.2 The steam cycle

The bottoming cycle is an ordinary Rankine cycle utilizing water as the heat transfer

fluid. Unlike the topping cycle, the bottoming steam cycle is a closed cycle, i.e. the

working fluid never leaves the system. In the simplest possible Rankine cycle, water is

boiled and superheated in a boiler. The steam is then passed from the boiler to a

steam turbine where it is expanded, producing work. The steam is then condensed in

Page 21: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

20

a condenser using an ambient heat sink as seawater or air, depending on

configuration and location of operation. Finally, the water is pumped up to the

operating pressure and returned to the boiler.

In the Rankine cycle the working fluid is pressurized in the liquid state, which is

much less energy consuming than compression in the gaseous state, as in the Brayton

cycle. The pressure ratio is therefore not limited by the work consumption but by the

two-phase region (gas-liquid) at the end of the expansion. To further increase the

pressure of a Rankine cycle, the steam can be reheated part of the way of the

expansion. This allows a higher admission pressure for a given maximum steam

temperature without exceeding the maximum moisture content at the end of the

expansion. If the moisture content is too high at the end of the expansion, the steam

turbine will suffer from erosion, which drastically shortens its lifetime.

When reheating is introduced the next limit on admittance pressure is the physical

blade length in the high-pressure steam turbine. The preheating energy is supplied by

steam extracted from the steam turbine at a number of pressure-levels. Preheating

reduces the amount of fuel required in the boiler. In a combinced cycle this is not

beneficial because it will reduce the recovery of heat from the exhaust.

To control the steam production, a method called variable pressure control is used in

the steam cycle. This will be discussed in chapter 6.

3.3 HRSG

The HRSG is the interface between the top and bottoming cycle. It can be compared

to a big heat exchanger where the heat from the high-energy exhaust is transferred to

the water or steam. The HRSG is the largest component of the combined cycle,

where the tube arrangements represent the heavies one. This is due to the large

surface area needed to recuperate the heat from the exhaust because of the poor heat

transfer properties to the flue gas [4].

Page 22: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

21

The HRSG can include various pumps, steam-drums, feedwater tanks, valves, rack

structure (manifold), deaerator, chemical dosing station – depending on configuration

and supplier.

The heat transfer in a HRSG mainly consists of convection, unlike the ordinary steam

boilers on coal plants where radiation contributes to the heat transfer. The simplest

form of HRSG operates at only one pressure level, which means that water only boils

one pressure and circulates in one cycle. To increase the efficiency of the HRSG

additional evaporators working at different pressures can be introduced. It is custom

to use multiple pressure-levels on onshore power plants, but single-level on offshore

cycles. The reason for the increase in efficiency is discussed in chapter 5.2.

Figure 4: The HRSG units of 660MW land-based combined cycle power plant (CCPP)[9] .

3.3.1 Finned tube heat exchanger

Most designs have a stack of vertical or horizontal tubes connected in series, where

the liquid gradually absorb the heat from the fluegas on its way out the stack. The

tubes usually have extended fins for increased surface area towards the flue gas.

Page 23: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

22

Figure 5: Right: High pressure supeheater fin configuration of Oseberg D. Left: Illustration from

frbiz.com [10]

HRSG – tube material property sheet

(@ 20°C unless otherwise specified)

Incoloy 800HT

[11]

TP407 [12]

Density 7940kg/m3 7700 kg/m3

Specific Heat Capacity 460 J/kg•°C 460 J/kg K

Thermal conductivity: @ 100°C

@ 500°C

13.0 W/m°C

19.5 W/m°C

23.0 W/mK

25.0 W/mK

Thermoflow mean values @ 260°C 15.6 W/m°C 26.1 W/mK

Table 1: HRSG specification for Oseberg D fins and tubing

The fin material should ideally have a large thermal conductivity to minimize

temperature variations from its base to its tip. The efficiency of the fins are directly

related to Δ𝑇𝑏, the temperature difference, and thus the driving force for the heat

transfer. [13]. The fin efficiency 𝜀𝑓 is dependent on the geometry of the fin

arrangements, and will vary with the external flow pattern and arrangements of the

tube bundle.

𝑄𝑓 = 𝜀𝑓 ⋅ ℎ ⋅ 𝐴𝑐,𝑏 ⋅ 𝜃𝑏

Page 24: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

23

𝜃𝑏 = 𝑇(𝑥) − 𝑇0 = Δ𝑇𝑏

3.3.2 Sections in the HRSG

The flue gas entering the duct also need to decelerate to low enough speeds for the

gas to make contact with the heat exchanger. This is why the cross sectional area

increases radically when the flue gas enters the duct of the HRSG.

There are generally three noticeably separate sections in the WHRU/HRSG where

water is sequentially heated all the way from liquid to superheated steam. See figure

5. Each section is represented as one line in the TQ-diagram as seen in figure 7. The

notation used is economizer (ECO), evaporator (EVAP) and superheater (SUPH).

The economizer heats the liquid water up to saturation (𝑇𝑠𝑎𝑡), while the evaporator

transfers the needed evaporation enthalpy for the phase-change (𝑇𝑠𝑎𝑡 = 𝑐𝑜𝑛𝑠𝑡) and

the superheater for heats the fully gaseous steam. Because of heating sequence, each

section of the WHRU must correspond to their respectively needed heat transfer

range, which means the exhaust first comes in contact with the superheater, then the

evaporator, and then the economizer before it leaves the WHRU.

Page 25: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

24

Figure 6: Schematics of vertical HRSG module. The illustration shown gives the exact number of

pipes, and thermodynamic values during steady-state operating. (Edited figure by source: Thermoflow-

data by Lars O. Nord [14])

Page 26: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

25

Figure 7: TQ-diagram of single pressure HRSG

To date there are several configurations in making the HRSG setup, through different

pressure levels and arrangements of separation of fluid, which will be discussed more

in detail in chapter 5.

3.4 Water treatment

The pressure at the end of the expansion and in the condenser is well below

atmospheric pressure and, therefore, it is inevitable that air will leak into the system.

The condenser pressure lies normally around 0.05 bar with small variations depending

on design. Dissolved oxygen is a major problem because it causes serious corrosion in

the system [6]. Water also combines with dissolved carbon dioxide to form carbonic

acid, which causes further corrosion. It is thus clear that access to purified water is

essential to avoid corrosion and long-term fatigue to the components of the

bottoming cycle.

Page 27: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

26

One way to blow off dissolved gasses in the steam cycle is to use a deaerator. The

principle is based on the fact that the solubility of gases in saturated water is almost

zero. The feedwater is heated to saturation by adding steam in a closed tank. The

steam and the gases will rise to the surface where they are cooled, and the gases and

some steam are vented out of the system at the top of the deaerator [15].

From a thermodynamically perspective, it is more beneficial to use energy at a lower

temperature for deaeration. For instance, part of the flow from the economizer outlet

can be flashed and used in the deaerator. To do this, the drum approach temperature

must be higher than normal and all the water must be passed through the unit. The

higher the approach temperature to the deaerator, the more gases can be removed.

The energy consumed in the deaeration process will be supplied from the evaporator,

which results in less low-pressure steam being available in the turbine. However, no

additional deaerator tank is required, which reduces the initial cost and saves space.

Figure 8: Illustration of the flows inside a deaerator [16]

Page 28: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

27

4 Onshore and offshore BCC

In the worldwide power industry, the CCPP is a popular power-producing unit that

has a number of desirable features such as high efficiency, low initial cost, relative

short construction time, and small footprint and short start-up time. This has

resulted in a common choice for the land based power industry, and the number of

CCPPs has thus increased around the world, from 5% to almost 20% [6]. The state-

of-the-art efficiency lies very close to reaching 60% on onshore power plants [4].

These desirable features have made the CCPP a common choice for the power

industry, especially in the abundance of gas and oil.

Most offshore installations to date are only powered by simple gas turbine cycles,

with no bottoming cycle implemented, which have varying efficiency of 33-39% at

their optimal design point depending on manufacturer and model. The few platform

having installed BCC offshore has a total plant net efficiency around 50% [17]. This

is far lower than what onshore power plants are capable of, since the limitations to

size and weight on offshore platforms are stricter than onshore, and thus the area to

recuperate heat is less.

4.1 Existing CC platforms

Existing combined cycle implementations goes as back as far to the 1990s when the

Norwegian CO2-taxation law was implemented [18]. The heat recovery units on all of

the current tree platforms using this technology is being quickly replaced and

improved over time, and have gone through multiple improvements.

Oseberg was the first offshore platform to install a CC which was in operation in

1999. Later the same year, the combined cycle on Eldfisk was in operation. The

Snorre B combined cycle was planned to be in operation in 2000 [4]. The WHRU’s at

Eldfisk and Oseberg has later been replaced by more compact designs.

The platform steam cycles range from 10-15MWe, many connected to common GE

LM2500 GT’s.

Page 29: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

28

4.2 Eldfisk

Figure 9: Skid of the Eldfisk combined cycle plant from 1999 [4]

The Eldfisk (Phillips) water injection platform has four LM1600 gas turbine driving

water injection pumps and one PGT 25 (LM2500) for gas compression. The main

generator is a LP10 steam turbine with a 5.4 MW Typhoon generator set and two 2.1

MW diesels as back up. The steam for the steam turbine is produced in a triple-inlet

WHRU-SG recovering heat from the PGT25 and two of the LM1600 gas turbines

(figure 9). Since the steam turbine is the sole producer of electricity under normal

operation the steam inlet valve must control the flow to the steam turbine according

to the power demand. The steam production and power demand are not directly

linked, so the steam cycle is designed to produce a minimum of 10% more steam than

normally required. This is to ensure control possibilities at load changes. The surplus

steam will be routed directly to the condenser via the steam turbine bypass valve.

This is done by pressure control. The steam turbine is designed for 10.3 MW

electricity production. There is no steam extraction from the steam turbine. There is,

however, heat recovery in the WHRU-SG for production of fresh water in a seawater

evaporator. This system is totally independent of the steam system.

Page 30: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

29

An elegant feature of the Eldfisk water injection concept is the use of injection water

as cooling water for the condenser prior to injection. Thus there is no extra lifting of

seawater for the steam condenser. Reduced fuel consumption on the generator sets

compared to simple cycle gas turbine solution, will be approximately 23 MSm3/year.

This represents reduced CO2-emissions of about 50 000 tonnes/year. The Eldfisk

steam bottoming cycle was put in operation during the 4th quarter of 1999 [4].

4.2.1 Replacement of HRSG

In recent years, the old HRSG unit were replaced with a HRS Circular Steam

Generator units combined with LM2500 and LM1600’s into one single unit. These are

installed with a tangential inlet which reduces pressure drop, distributes exhaust

evenly to the coils, and overcomes the potential problem for GT interaction

resonance. Two units has been installed in a single lift module to replace hot casing

rectangular units that suffered stress induced cracking of the casings and supports.

The two units produce enough steam to generate 10MWe, sufficient for the complete

platform. [19]

Figur 1: Eldfisk Circular Steam Generation (CSG) installation [19]

Page 31: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

30

4.3 Oseberg D

The combined cycle on Oseberg D uses two gas turbine packages (PGT25+) to drive

two gas compressors for reinjection. The package consists of a LM2500+ gas

generator and a power turbine designed by Nuovo Pigone. The power turbines are

rated to 30MW each and have 40.3% efficiency at ISO condition. The steam turbine

is located on the neighbor platform Oseberg A, and a 400m steam pipe connects the

HRSG with the steam turbine. The steam turbine is rated to about 19MW with the

gas turbines running on full load, this correspond to total plant efficiency of 50%.

The HRSG is of a double inlet module and recover heat from both gas turbines. The

exhaust has a temperature of 480°C and the steam is produced at one pressure level.

The HRSG package is placed over the two gas turbines and the design is of a vertical

gas flow arrangement with forced circulation. The gas turbines run independently of

the steam cycle, and the steam turbine will produce electricity from whatever steam

is produced in the HRSG. This ensures simple regulation [4].

Another operating possibility is to extract steam from the steam turbine to utilize as

process heat. One by-pass stack and one diverter are fitted to allow simple regulation.

[20]. A process cycle sheet is shown in figure 10:

Page 32: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

31

Figure 10: Oseberg D 1999 steam power cycle, drum based HRSG [4]

Figure 11: Model of OTSG module installed for Oseberg D 2010. Coutesy of Macchi [21]

Page 33: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

32

4.3.1 Dual OTST replacement in 2010

In 2010 two new OTSG modules from Aibel produced in cooperation of IST [22] and

Macchi [21] was replaced with the old one which has been in operation for less than

ten years. When in operation the OTSG will recover waste heat from two 28 MW

gas turbines.[22] The dimensions are approximately 20 x 20 x 25 meter with a weight

of 700 tons. The new modules is a OTSG that utilizes two gas export compressors to

generate steam to power a steam turbine which will generate 15MWe for the

platform. [23]

4.4 Snorre B

The Snorre B platform uses another combined cycle concept. The combined cycle

produce only electricity and run continuously at 100% load to maximize the efficiency

and cut the payback time. Both the two DR63P (LM2500+) gas turbine and the

LP17 steam turbine package are used for generator drive. The HRSG is of a double

inlet type and has incorporated supplementary firing in case of a gas turbine shut

down. The Snorre B platform export surplus electricity to Snorre TLP. This inter-

platform power distribution makes better flexibility and utilization of the electricity.

At design point and 100% load the gas turbines produce about 30MW each and the

steam cycle produce 17.3MW electricity. There is also a possibility for extraction of

steam with a total energy of 8.0 MW, and then the ST production will be 15.2MW.

[2].

4.5 Backup power on offshore platforms

This three cases show how different the configuration of power generation may be

offshore and how each combined cycle are designed especially for each platform.

Because the platforms are self-sufficient in energy and the energy demand varies, it is

important to have a system which is reliable and easy to regulate. All the combined

cycles have backup capacity and god regulations. Offshore Power Generationn 25 The

Oseberg D platform has a bypass stack with diverters and backup capacity is covered

by gas turbine genset. The Eldfisk platforms ensure reliability by using a dual fueled

Page 34: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

33

5.25MW gas turbine in backup and god regulation of steam to the ST. On the Snorre

platform surplus energy is delivered to a neighboring platform and deficit exhaust

energy is covered by supplementary firing.

4.6 Challenges for further CC offshore

In the offshore industry, space and weight requirements are essential when it comes

to placing new equipment on a platform or a FPSO. A steam bottoming cycle needs

to be simple, with low weight and volume. This is one of the main reason why so few

offshore installations have combined cycles installed to date [4].

Other problems is particularly related to very transient and off-design operation

conditions, treating of feed and makeup water, and extraordinary corrosive conditions

on the platforms. This has led to multiple research intensives, especially in the

Norwegian oil industry to expand CC implementation.

COMPACTS goals is to reduce the weight of the steam turbine with its accessories

by up to 50 percent. A large part of the weight reductions will come from reduction

in the framework which currently contribute 50 percent of total weight. Most

research points toward replacing steel components with lighter metals like aluminum

in the framework, or titanium or Inconel in the heat exchangers. [18]

Lars O. Nord et.al. [24] did a study of reducing the weight of steam bottoming cycles

on offshore installations, showing how different components contribute to the weight

of the total cycle. Figure XY shows how especially the removing of bypass stack

reduces the weight considerably.

Page 35: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

34

Figure 12: Comparison of weight reduction of drum-based HRSG versus OTSG [24]. Note that wet

weight axis starts at 100 tons.

The trend shows that implementations of compact OTSG and CSG technologies may

open up possibilities for further platforms implementing CC technology. The details

about different HRSGs will be discussed in the next chapter.

Page 36: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

35

5 HRSG designs and configurations

Historically, the HRSG design has commonly been associated with the drum-based

horizontal steam cycle for land based CCPPs. Alternative designs like the Once

Through Steam Generator (OTSG) and Circular Steam Generator (CSG), and

variations of the HRSG has been in development since the 1990s. However, many of

the skids can be categorized into vertical and horizontal designs, each having pros

and cons considering configuration and operation conditions. Different models and

skids will be described in this chapter.

Figure 13: Size comparison between different HRSG skids (Courtesy of HRS [19])

5.1 Drum based HRSG

Drum-type circuits typically use natural circulation for horizontal designs and forced

circulation for vertical designs. This is because horizontal evaporator pipes are more

susceptible to backflow so that pumps are required for preventing system instability.

Drum-based HRSG are the most common design worldwide, and connects the

economizer, evaporator and the superheater in an HRSG. There is a drum for every

Page 37: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

36

pressure level in the HRSG. The cross-section of the drums are circular, is installed

on the top of horizontal HRSGs, and on the top or side of vertical HRSGs. The

length depends on the size of the plant, and may be up to 15m. The drum is filled

wiith about 50% liquid water where the water at the surface is at the boiling point.

Hot water from the economizer is entering the drum and is distributed in the water

volume. A sketch of a drum is given below in figure 14:

Figure 14: Courtesy of ISA.org [25]

The drum is a pressure vessel with two main functions:

Separating liquid water and saturated steam,

Remove impurities in the feed water

From the drum, water is led to the evaporator. Back from the evaporator a two-

phase mixture is returned to the drum, above the water volume. This two-phase

mixture goes normally though hydro cyclones, where the steam and the liquid water

are separated. The steam leaves at the top of the drum for the superheater, while the

liquid water returns down into the water volume. The steam/liquid water in the

drum is at the saturation state, ensured by heat and mass transfer between the

Page 38: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

37

saturated steam in the upper half of the drum, and the liquid water at the boiling

point in the lower half of the drum.

5.2 The influence of pressure levels

Considering the first and second laws of thermodynamics when designing a HRSG

means a compromise between the following:

As much energy as possible should be recovered, i.e, the T-Q diagram should

be extended as far as possible along the x-axis, and

The temperature difference Δ𝑇 (𝑝𝑖𝑛𝑐ℎ), i.e. the area between the lines in the

T-Q diagram, should be minimized.

Single-pressure CCPPs are used when a short start-up time is important, or if the

heat remaining in the flue-gas can be recovered for an external process, such as in

CHP plants. With only one steam drum it will have a relatively small heat storage

capacity and will therefore respond quickly to load control and have a short start-up

time. Single pressure is common in offshore combined cycle plants [6]

When examining the TQ-diagram of the single-pressure CCPP we see that a lot of

heat is not recovered, because the Δ𝑇 between the lines are extended during the

evaporation.

Figure 15: A typical layout of a single-pressure CCPP, with corresponding TQ-diagram [6]

Page 39: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

38

Figure 16: Triple pressure level HRSG with reheating.

Figure 17: (right) TQ-diagram of Dual pressure level HRSG. A dual-pressure combined cycle with

reheating (Reheating is the last part on the hot end) [6]

On the other hand, when examining multiple-pressure diagrams like figure 17, we see

that the heat area between the lines are smaller, and thus more heat can be

recuperated at different pressure levels.

Page 40: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

39

It is therefore evident that multiple pressure levels lead to increase in efficiency for

CCPPs. However this also lead to higher weight and more components in form of

extra drums and would therefore not be the optimal solution in i.e. offshore

planforms. The initial cost will increase as the piping and other material must be

stronger to withstand the higher pressure. A high pressure results in a low volume

flow entering the high-pressure gas turbine, which is a problem especially for small

CCPPs.

Figure 18: Efficiency of different CCPP configurations without parasitic or step-up. Heat to power

effiency. [6]

5.3 Once Through Steam Generator

The Once-through or Benson type steam generator was invented as early as 1930 and

was then based on supercritical conditions, meaning pressures above 221 bar –

traditionally found in coal-fired power plants operating today [26]. Still, development

and implementation of OTSG in CCGT plants are relatively new and are naturally

operation in subcritical conditions. Siemens have previously tested both vertical and

horizontal OTSGs attaining operation conditions up to 58% efficiency with land-

based development plants. (Tripple pressure).

Page 41: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

40

Figure 19: Simplified CC for a once-through steam generation (OTSG) system. Illustration taken from

Jonshagen et.al. [6]

Siemens Power Generation Group, Germany claims some of the features and

advantages over drum-based HRSG are: [26]

No thick-walled drum, which is required for high pressure stages.

15-25 per cent less weight of pressure parts. This has also been described for

offshore installations by Lars Nord [24].

Attractive operating characteristics, with good flexibility and short start-up

times.

Fast cycling due to thin walls and therefore low thermal stresses

Compact lightweight pressure bundle

Other advantages include zero blowout before startup [27], but again rises the

challenge of purified water, which is generally not a problem on drum-based HRSGs.

There are requirements to demineralized feedwater, and additional utilities are thus

needed. There are also strick requirements for using stainless steel on feedwater

Page 42: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

41

piping from the polisher to OTSG for cycling plants, which is not that critical in

drums.

Even though, main regulation problems like deposition and carry over are avoided

(explained further in chapter 6), and allows the OTSG to run dry for high

temperatures, given the steel can attain tolerate the thermal stresses.

As pressures and temperatures have become higher, the once through boiler has

become more attractive [28]. Once through designs avoid the need for a steam drum

to separate the steam and water mixture after it leaves the evaporator. High pressure

drums require very thick walled sections, which increases the overall weight of the of

the HRSG, while exerting thermal stresses on drums.

Figure 20: Comparative sizing of traditional onshore drum-based HRSG and newer OTSG. [29]

5.4 Development of compact HRSGs

Early gas turbine waste heat recovery units (WHRU’s) were designed to standards

like the API 560 in the early 1980’s [19], which was a robust and well proven fired

heater standard. These were heavy and bulky designs most adapted onshore power

plants. There was also a requirement to bypass the heat recovery unit for start-up

Page 43: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

42

and also to control the amount of heat recovered in the heat exchanger. The bypass

required a pair of exhaust gas dampers to modulate and control the process fluid to a

temperature set point. In addition, a silencer was required between the gas turbine

and the WHRU to reduce noise levels from the GT. This resulted is a set of casings,

ducts, dampers and stacks that had to be assembled on the platform with suitably

designed structures to support them.

During the late 1980’s improvements were made to make the WHRU’s more compact

with the introduction in the North Sea of the integral bypass, this helped by having

the dampers, bypass and heat exchanger in an assembled form, however the silencer

and bypass stacks were still supplied separately.

Efforts to incorporate heat exchanger, bypass, silencer and stack to under one single

assembly intensified during the 1990s. Engineers focused on minimizing the amount

of steel required and to make a small footprint as possible. Support structures were

also a big issue, especially on floating platforms such as FPSO’s where motion added

considerably to the weight of the structures, making the center of gravity a problem.

Wind loading was also a factor because of the traditionally rectangular design on the

stacks. [19]

5.5 Circular Steam Generator (CSG)

This led to the development of circular WHRU’s, but introduced problems with

integrating coiled tubes into the exchanger. According to Wickham [19] circular

design will reduce overall weight by up to 25%. The advantages of circular coils is

that there are no return bends, which finds place in rectangular units where the

water bends 180 degrees to transfer it to the next pass and this adds weight and

pressured drop with no heat transfer benefit. Additionally, the amount of welding per

tube is greatly reduce, which will reduce welding and radiography by 86% and

improve the integrity of the coil.

Another feature is that the bypass could be positioned internally concentric with the

coils and also incorporate a silencer. To facilitate this concept a radial vane damper

was introduced to effectively control gas flow.

Page 44: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

43

Figure 21: Circular HRSG concept by HRS [19]

Although developed specifically for offshore the first commercial units of this type

were employed on land based location in Texas on Solar Centaur 40 gas turbines. A

total of 29 units have been installed offshore worldwide by September 2015, including

three CSG modules for Eldfisk in the Norwegian Sea [19].

5.6 Differences - Drum and Once Through Boilers

The HRSG can be vertical or horizontally built. A vertical design give a small

footprint, but the steel structure is more expensive as it has to carry the heat

exchangers as well as additional equipment (i.e drums), depending on framework and

special design considerations. In a horizontal HRSG the exchanger tubes are

vertically placed and more suitable for natural circulating boilers and is the most

common type found in the world to date. The great majority of CCPPs in the world

uses horizontal natural-circulation drum-based HRSGs. Once-trough steam generators

were in 2008 only representing about 48 of a total of almost 2000 large CCPPs

worldwide [30].

Coherently, most literature focus on horizontal natural-circulation drum-based

HRSGs, and majority of these are land based CCPPs. [31]. Thus, there are few to

Page 45: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

44

none studies on the dynamic behavior of forced-circulation-compact HRSGs without

drums, and even less on once-through type in any papers.

Figure 22: Circulations of water inside Vertical OTSG and Drum-based HRSG. (Courtesy of NEM

Group [32])

Figure 23: Courtesy of Milton R. Beychok [33]

Page 46: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

45

Figure 24: Drum based skit to the left; OTSG to the right. Courtesy of IST [27]

Drum-type circuits typically use natural circulation for horizontal HRSGs and forced

circulation for vertical designs [34]. This is because horizontal evaporation pipes are

more susceptible to backflow so that pumps are required for preventing system

instability. Although HRSGs can be designed with evaporators that function without

the use of circulation pumps, the variable operational range and specific design

criteria can limit the applicability in offshore operation.

The vertical HRSG has horizontally placed tubes and need forced circulations by the

use of pumps. Operational experience shows that combined cycle plants with vertical

HRSGs are cycling tolerant systems, as the design permits the tubes to

expand/contract freely and independently of one another [29]. In contrast, the

evaporator-tubes for horizontal designs are hanging vertically in a more rigid harp

structure. In order to support their own weight, a larger wall thickness must be

selected compared to vertical HRSGs, resulting in higher thermal inertia of the

system. [30]

In contrast to the drum-type boiler, the water content of the system is fully

evaporated in a single passage so that significantly more heat transfer surface is

required. Once-through omits the necessity of a drum and strongly reduces the water

inventory, resulting in less thermal inertia and more flexibility in operation [2].

Page 47: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

46

However, with once-trough systems the need for purified feedwater is critical. While

drum-based HRSGs can be installed with deaerator-functionality with the i.e. the

economizer, the OTSG need a separate purifications unit, being chemical dosing

station or an ordinary deaerator.

If deaeration is performed in the low-pressure drum, no separate deaeration unit is

required. To do this, the drum approach temperature must be higher than normal

and all the water must be passed through the unit. The higher the approach

temperature to the deaerator, the more gases can be removed. The energy consumed

in the deaeration process will be supplied from the evaporator, which results in less

low-pressure steam being available in the turbine. However, no additional deaerator

tank is required, which reduces the initial cost and saves space, favorable for offshore

installations.

As mentioned, the thick-walled components (drum in particular) of the HRSG

restrict the permissible start-up gradients of the combined cycle. Accordingly,

preferred application of the once-through design is in the high pressure (HP) stage.

The technology also enables supercritical steam parameters, given that future

developments in gas turbine technology are expected to continue the trend towards

greater exhaust mass flows at higher temperatures.

Regulation is needed on drum-based start-up procedures to level the water inside the

drums, and to hold the pressure within acceptable limits in every cycle. The problem

naturally grows with increased number of pressure-stages in the HRSG.

Superheaters and reheaters in the HRSGs are subject to severe thermomechanical

cyclces due to an increase of heating gradients and of the number of transitional

periods. In addition, steam drums are also stressed because they have great thickness

and many weak points such as down-comers, risers and steam pipes connected to the

main body. Indeed, during transient operation, they are subject to pressure and

temperature variations which induce low-cycle fatigue.

Page 48: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

47

6 Control aspects and regulation

6.1 Drum level regulation

The level in the drum must be controlled to the limits specified by the manufacturer.

If the drum level does not stay within these limits, there may be water carryover. If

the level exceeds the limits, boiler water carryover into the superheater or the turbine

may cause damage resulting in extensive maintenance costs or outages of either the

turbine or the boiler. If the level is low, overheating of the water wall tubes may

cause tube ruptures. A rupture or crack most commonly occurs where the tubes

connect to the drum. Damage may be a result of numerous or repeated low drum

level conditions where the water level is below the tube entry into the drum.[25]

It is common with cracked or damaged water tubes as a result of time delayed trips

or operators having a trip bypass button. When the drum level gets too low, the

boiler must have a boiler trip interlock to prevent damage to the tubes and cracks in

the tubes where they connect to the boiler drum. The water tubes may crack or

break where they connect to the drum, or the tubes may rupture resulting in an

explosion. The water tube damage may also result in water leakage and create

problems with the drum level control. The water leakage will affect the drum level

because not all the water going into the drum is producing steam

Poor level control also has an effect on drum pressure control. The feedwater going

into the drum is not as hot as the water in the drum. Adding feedwater too fast will

result in a cooling effect in the boiler drum reducing drum pressure and causing boiler

level shrinkage. This can be demonstrated by pouring tap water into a pan of boiling

water. [25]

6.1.1 Shrink and swell

Shrink and swell must be considered in determining the control strategy of a boiler.

During a rapid increase in load, a severe increase in level may occur. Shrink and swell

is a result of pressure changes in the drum changing water density. During a rapid

increase in load, a severe rise in level may occur because of an increase in volume of

Page 49: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

48

the bubbles. This increased volume is the result of a drop in steam pressure from the

load increase and the increase in steam generation from the greater firing rate to

match the load increase (i.e., bubbles expand). If the level in the drum is too high at

this time, it may result in water carryover into the superheater or the turbine. The

firing rate cycle can result in drum pressure cycles. The drum pressure cycles will

cause a change in drum level.

The firing rate change has an effect on drum level, but the most significant cause of

shrink and swell is rapid changes in drum pressure expanding or shrinking the steam

bubbles due to load changes. When there is a decrease in demand, the drum pressure

increases and the firing rate changes, thus reducing the volume of the bubbles (i.e.,

bubbles get smaller). A sudden loss in load could result in high drum pressure causing

shrinkage severe enough to trip the boiler on low level. A boiler trip at high firing

rates creates a furnace implosion. If the implosion is severe enough, the boiler walls

will be damaged due to high vacuum in the furnace.

Figure 25: Measurement of drum level. [25]

Typically, for redundancy, there are three different methods used to measure drum

level. In the "Boiler drums/level measurement" example, the bull's eye technology is a

direct reading level measurement. The differential pressure transmitter represents the

level control measurement, and the probe type sensor is a common method for level

Page 50: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

49

alarms and low and high level shutdown. Note the connections in the second

illustration are not realistic. (Figure 25 above)

Figure 26: Measurement using gage glass

The basic indication of the drum water level is commonly shown in a sight gage glass

(bull's eye) connected to the boiler drum. Due to the configuration of the boiler, and

the distance the boiler drum is from the operator, a line-of-sight indication may not

be practical. The gage glass image can be projected with a periscope arrangement of

mirrors. There are a number of methods for visual drum level measurement. Other

methods are a closed circuit television and the use of fiber optics.

The sight glass reading is affected by the temperature/density of the water in the

sight glass. The water in the sight glass is cooler than the water in the boiler drum.

6.1 Off-design and partial arc control

At part load and off-design conditions the exhaust heat energy may change, which

affect the steam production in the HRSG, and consequently the ST. The ST turbine

Page 51: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

50

is designed to follow the GT without control of the power output. Most steam cycle’s

s in combined cycle plants use sliding pressure operation down to 50% load. This

ensures good utilization of the exhaust energy and high efficiency. Below 50% load,

the live stream pressure is held constant by a valve at the steam turbine inlet. This

introduces throttling losses, and increasing stack losses [35]. The sliding pressure

operation is illustrated below.

Figure 27: Sliding pressure opeation [35]

At part load the ST have approximately constant volume flow. This implies that the

velocity vectors remain unchanged, hence the efficiency is constant [15]. Stodala law

helps us calculate off-design operation for the steam turbine, when the turbine nozzles

are not choked. [36].

For condensing turbines, where the pressure ratio is low and the ratio of swalling

capacity is almost 1 the simplified Stodola’s law coefficient can be simplified to:

𝐾𝑡 = [𝑚2] =�̇�

√(𝑝𝑖𝑛.𝑑𝑒𝑠 𝜌𝑖𝑛,𝑑𝑒𝑠) ∙ √1 − (𝑝𝑜𝑢𝑡,𝑑𝑒𝑠

𝑝𝑖𝑛,𝑑𝑒𝑠)

2

Where �̇� is the steam mass flow and 𝑝𝑖 and 𝜌𝑖 is respectively the design (or nominal)

pressure and density either in or out of the ST. The subscript “des” refers to the

value computed at design point conditions.

Page 52: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

51

6.1.1 Part load regulation

The most common principle for reducing the load of a combined cycle is by reducing

both the airflow inlet of the compressor on the GT and reducing the fuel flow. This

provides a higher part-load efficiency of the combined cycle compared to only choking

the fuel [15]. The airflow reduction is done with VIGV (variable inlet guide vanes)

which can change the inlet angel of the flow into the first stage of the GT

compressor. The combination of regulating the mass flow and fuel flow, makes it

possible to maintain a high TIT (turbine inlet temperature), and consequently high a

exhaust gas temperature.

The VIGV’s may typically reduce the mass flow down to 40% of GT load. At loads

below this level, the TIT is reduced by reduction of fuel only and the efficiency drops

quicker. [37]

Regulating the load also introduces challenges regarding emission of NOx and CO,

but will not be discussed further.

The simplest turbine model is based on a fixed isentropic efficiency. However, the

efficiency is dependent on the turbine load, and should not be considered to be

constant at off-design conditions. The turbine's off-design conditions are predicted

with the correlation proposed by Schobeiri [38]. The correlation expresses the relation

between the isentropic efficiency (ℎ𝑖𝑠) and the dimensionless flow coefficient. The

isentropic efficiency is a function of the rotational speed n and the isentropic enthalpy

drop Δℎ𝑖𝑠.

𝜂𝑖𝑠 = 𝜂𝑖𝑠,𝑑𝑒𝑠 ⋅ √Δℎ𝑖𝑠.𝑑𝑒𝑠

Δℎ𝑖𝑠⋅ (2 −

𝑛

𝑛𝑑𝑒𝑠⋅ √

Δℎ𝑖𝑠.𝑑𝑒𝑠

Δℎ𝑖𝑠)

When the admittance pressure of a turbine is changed, the volume flow passing

through it will naturally be affected. The turbine’s ability to swallow a certain mass

flow is called the turbine capacity, and is a measure of the turbine size or rather the

Page 53: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

52

area of the turbine inlet. The turbine capacity is essential for off-design modelling

especially for combined cycles which are operated at sliding pressure.

6.1.2 Partial arc

The steam turbine in a combined cycle has two special features. Firstly, largescale

combined cycles normally generate steam at more than one pressure level, and

therefore the steam turbine is equipped with steam induction points. Large steam

turbines consist of a number of turbine cylinders and the induction point will

normally be located between them. To control the steam production, a method called

variable pressure control is used in the steam cycle. A conventional steam boiler

plant sometimes uses partial-arc control, which has superior part-load efficiency.

Partial-arc control utilizes a fixed pressure in the boiler at all loads, giving high part-

load efficiency.

Figure 28: Illustraiton of a partial-arc inlet [6]

However, a constant pressure in the boiler is undesirable for the heat recovery in the

WHRU. With a fixed evaporation pressure the WHRU becomes stiff, inflexible and

inefficient. The part-load efficiency of the turbine is secondary to efficient heat

recovery. Instead of using a fixed pressure, the combined-cycle bottoming cycle is

controlled by sliding pressure control. Sliding pressure control means that the inlet

control valves are always fully open, the inlet volume flow is constant at all loads,

resulting in a more or less fixed pressure ratio over the first stage of the steam

turbine. Therefore, the temperature gradients are much smaller than those in partial-

arc control. [7]

Page 54: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

53

6.2 Bypass stack flow

Bypass stack is normally installed on most high-pressure drum-based HRSGs. The

bypass is needed due to keep thermal stresses in the HRSG components within

allowable limits during startup procedure. This is especially important to high

pressures drums which is built with thick drum walls, and thus the thermal

expansion and contraction in the drums are higher than in low or medium-pressurized

drum cycles. The stresses are generated by the uneven distribution of the metal

temperature inside the drum. Kim et al. [39].

Figure 29: Bypass duct with integrated silencer for Vertical HRSG. Source: Courtesy of HRS [19]

The bypass stack is a simplified way to regulate both temperature, pressure and

massflow through the HRSG at the cost of volume and weight to the whole

installation. A diverter at the bottom of the bypass stack regulates the flow into the

HRSG stack or into the by-pass stack, normally installed vertically.

Page 55: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

54

6.3 Supplementary firing

The plant output can be increased by supplementary firing, which means that a duct

burner is placed at the HRSG inlet. The oxygen surplus in the flue-gas is usually

sufficient for combustion. Supplementary firing increases the plant output at the

expense of efficiency. Supplementary firing was more common in early CCPPs

because the gas turbine exhaust was not enough for the steam cycle. It is rare to find

supplementary firing in a modern plant, but in some cases it is used to increase the

flexibility of the power plant.

6.4 Startup and shutdown of CC

The need to quickly shutdown and startup a combined cycle power plant is essential

at modern power plants. Above all, the gas turbine can be started and loaded

quickly. Because its reaction time is short, it is capable of following quick changes

and surges in load. The gas turbine and, more importantly, the steam turbine is also

sensitive to thermal stresses on the turbine blades. Therefore, regulated startup time

is necessary to avoid material stresses and fatigue from expansion and contraction on

the different parts of the turbines. Hot and cold startup can range between 50 to 170

minutes respectively depending on the size of the CCPPs [35]. It is vital that the

temperature gradient at startup is held to reduce the lifetime of the turbine blades,

and shorten the service inspection time for replacing of blades.

Nevertheless, the HRSGs drums and piping system is often limiting factor in a CC-

plant, especially if there’s multiple pressure levels [40]. The steam drum in particular,

are subject to high thermal stress during start-ups, which is generated by the uneven

distribution of the metal temperature.

The cold start-up time of a typical HRSG can range from 45 min to 2 hours or more.

[39]. During start-up all operating parameters including temperature, pressure and

mass flow will increase rapidly. During the base load operation, the steam exiting the

evaporator will have a mild degree of superheat and should enter the superheater in a

completely dry condition, which will enter the superheater in complete dry condition.

Page 56: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

55

The steam from the evaporator will not only be saturated but will also contain free

water. This needs to be removed in a separator. [28]

7 Dynamic and Steady-state modelling

Whereas conventional HRSG design is largely based on well-known steady-state

models, detailed modelling and dynamic simulation of the relevant components are

necessary in order to evaluate and optimize HRSG design with respect to fast start-

up and shutdown capability. A discussed, most of current research is done through

steady-state modelling where the assumption of operation point is on design point of

the power plant.

Traditionally steady-state modelling has been the practice for modelling and

designing critical parameters for a power plant. The results from these calculations

are defined through boundary conditions and the desired components included in the

model. This type of modelling does not provide any details about the dynamic events

taking place in the components, but is excellent in giving a more global view of the

performance. The principle is that each component has a set of inlets and outlets at

which the stagnation properties are calculated using thermodynamic equations. Each

component depends on the others, and in order to model the complete cycle the

components should be linked together to form a network representing the whole

power plant.

There are numerous types of software developed to simulate steady-state. Dynamic

modelling on the other hand is considering the time-varying equations and boundary

conditions which the steady-state modelling ignores. This is not to say that the same

equations does not apply to the dynamic modelling, but it includes the time-varying

equations as well as the steady-state equations. When investigating dynamic behavior

of a system we usually simulate a defined model with rigid components and

geometries.

Since the pressure in the HRSG varies depending on which cycle we’re focusing on,

real gas conditions are typically used in calculations for the steam throughout the

Page 57: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

56

HRSG. This means that the density and enthalpy deviates from that of ideal gas. For

both drum- and once-through based heat recovery, we have a mix of fluid water and

steam depending on location in the cycle.

Fortunately, the properties of water and steam is perhaps the most well documented

we can find in any research. There is an international organization, IAPWS that

defines the equations, which describes the various properties of water. There exists an

international organization, IAPWS that defines the equations which describes the

various properties for water. The latest data from IAPWS-97 is also included in the

Thermopower package described as IP-97. [41]

8 Modelling with Dymola/Modelica

8.1 Working with ThermoPower

The tool used to evaluate the power plant cycles was Dymola, a proprietary GUI

extension of the open-source based modeling language Modelica, with the package

Thermopower for thermal power and heat conversion systems. The last update of

Thermopower version 3.1 was released in 2011 with moderate, to few updates and

changes [41]. The recommendations to use the software originated from supervisor

Lars Nord and PhD and candidate Rubén Mocholí Montañés, the latter who have

experience using the software for dynamic simulation in organic Rankine cycles.

Unlike most commercial power plant simulation tools, Dymola/Modelica does not

function as a “black-box” software, showing the calculations behind the generated

results in clear detail. The Modelica, and thus the Thermopower library, is open

source, and modular, which means that the inherent properties of every model can be

split into simpler and simpler components, and the direct equations and code behind

the models can be examined. This also gives the user great freedom to modify the

code and customize components to comply with their models, which will be vital for

once-trough systems which is not well-documented nor included in ThermoPower by

default.

Page 58: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

57

The adjacent downside of Modelica is that of making quick simplified models, for i.e.

idealized power plant. This depends on whether the actual model has been premade

in the library. If non-existing, the components in the cycle has to be built from

bottom-up in detail. A detailed discussion of this problem is explained in the HRSG-

build-up in chapter 8.3.

This problem is exemplified in that all models coming with the library are drum-

based, with multiple pressure levels, which is most typical design for land based

CCPPs. The library is mainly based on onshore three-pressure stage CCPPs, and

thus the buildup of a once-through model needs to be done from scratch.

Along with extensive work to simulate dynamic behavior of the system – which

indicate that one need results from steady-state conditions prior to the dynamic

calculations – can make the work time-consuming with parameterization of the

model. The initial conditions must also be changed for every part-load case

investigated, which means the whole parametrization of the power-cycles has to be

re-initialized.

An issue with Modelica is that it does not support 1-dimentional partial differential

and algebraic equations (PDAEs), which makes it impossible to model distributed-

parameter processes. Modelica uses finite element methods to approximated models of

such processes, which is described by ordinary differential algebraic equations

(DAEs).

Page 59: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

58

8.2 Fundamental equations

Figure 30: Finite element method (FEM) 1D analysis schematic diagram [42]

The equations used by Modelica are based on partial differential equations (PDEs),

which is linearized and converted to ODE’s for solving, using the finite-element

method (FEM). Casella and Schiavo [42] has describe the equations in detail for one-

dimensional fluid flows with heat transfer in pipes. Summarized, the thermodynamic

intensive variables can be derived with respect to one-dimensional length x and time

t, illustrated in figure 30. Within this framework, the dynamic balance equations for

mass, momentum (neglecting the kinetic term), energy (neglecting the diffusion term)

and partial mass can be formulated as follows: [42]

Mass balance equation:

𝐴𝜕𝜌

𝜕𝑡+

𝜕𝑤

𝜕𝑥= 0

Dynamic momentum equation:

1

𝐴

𝜕𝑤

𝜕𝑡+

𝜕𝑝

𝜕𝑥+ 𝜌𝑔

𝑑𝑧

𝑑𝑥+

𝐶𝑓𝜔

2𝜌𝐴3𝑤|𝑤| = 0

Energy balance equation:

Page 60: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

59

𝜌𝜕ℎ

𝜕𝑡+

𝑤

𝐴

𝜕ℎ

𝜕𝑥=

𝜕𝑝

𝜕𝑡+

𝜔

𝐴𝜙𝑒

Partial mass equations: (Advection equation)

𝜌𝜕𝜉𝑘

𝜕𝑡+

𝑤

𝐴

𝜕𝜉𝑘

𝜕𝑥= 0, 𝑘 = 1, … , 𝑁𝑠

𝜙𝑖 heat flux enetering pipe across lateral surface [W/m2]

ℎ specific enthalpy [J/kg]

𝜔 wetter perimeter [m]

𝐶𝑓 Fanning friction factor [-]

𝜌 density [kg/m3]

𝑤 massflow [kg/s]

𝜉𝑘 mass fraction of the kth component [-]

𝑁𝑠 number of chemical species in the fluid [-]

8.3 Metal wall model

Dynamic heat transfer through the lateral surfaces, or the wall of the tube is

described by Fourier’s equation. With focus on the heat capacity in the middle of the

tube and neglecting longitudinal heat conduction along the pipe, we get:

𝜌𝑚𝑐𝑚𝐴𝑚�̇�𝑚(𝑥, 𝑡) = 2𝜋𝑟𝑖𝜙𝑖(𝑥, 𝑡) + 2𝜋𝑒𝜙𝑒(𝑥, 𝑡)

where 𝜌𝑚 is metal density, 𝑐𝑚 is the metal specific heat capacity, 𝐴𝑚is the cross-

sectional area, 𝑇𝑚 is the tube temperature in the middle of the wall, 𝑟𝑖 and 𝑟𝑒are the

Page 61: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

60

internal and external radius, and 𝜙𝑖 and 𝜙𝑒 are the corresponding heat fluxes across

the tube sufraces; the latter two can be calculated as:

𝜙𝑒 =𝜆

𝑟𝑒 ⋅ ln (𝑟𝑖 + 𝑟𝑒

2𝑟𝑒 )

(𝑇𝑒 − 𝑇𝑚)

𝜙𝑖 =𝜆

𝑟𝑖 ⋅ ln (𝑟𝑖 + 𝑟𝑒

2𝑟𝑖 )

(𝑇𝑖 − 𝑇𝑚)

where 𝜆 is the metal thermal conductivity and 𝑇𝑖 and 𝑇𝑒 are the temperatures of the

internal and external surface, respectively. The heat conduction equation is then

easily discretized by sampling it in N equally spaced nodes. More accurate

approximations of Fourier’s equation can be adopted if a more detailed description of

the heat flows and temperatures is needed (e.g. for thermal stress studies, not

included in this report).

8.4 Discretization in FEM

The approximated solution of the four PDEs - in the previous chapter - can be

obtained through several numerical methods. However, there’s only one method that

allow one to transform a PDE into a set of ordinary differential equations (ODEs) or

differential-algebraic equations (DAEs) with respect to time are suitable to use within

the Modelica framework. Here the focus is on the numerical methods termed Finite

Element Methods (FEM) used.

The FEM is based on the discretization of the solution region into basic elements.

The choice of selecting a proper set of nodes for every calculation is critical to every

customized model. More defined nodes for heat transfer problems will generate more

accurate and fast responding dynamics of the system, but also oscillate faster and

create tendencies of non-converging solutions to the iterations.

Page 62: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

61

It will later be shown that the number of nodes will be held low, due to initial

modelling and stabilization of the model.

8.5 Approach to model and workload

Due to less components and a more simplified steam cycle, a once-through model

based on steady-state data from an Oseberg D skid without drums will be used as

initial approach. The steady-state data simulate a “half” Oseberg D cycle, meaning

only one of the two gas turbines in operation. The Dymola model will be iterated and

built up piecewise and validated towards the Thermoflow-data, especially regarding

the HRSG unit with multiple heat exchangers. Integration of more advanced flow-

components (pumps, evaporators, regulators) will be implemented when the HRSG-

model is stable and performs as expected.

The procedure to construct the Dymola model that follows is a result of multiple

conversations with co-supervisor Rubèn M. Montañès, and exchange of experience

with the use of ThermoPower library:

Work to be done:

Acquire steady-state Thermoflow data by Lars Nord (appendix) [14]

Conversion of data to fit HE input units.

HRSG-split into seven different heat exchangers:

Each HE has declared parameters unique for its section and function. Static

input and out conditions for flow and pressure are set.

Parameterize each unique HE. Initialize and stabilize toward steady-state

conditions for pressure, heatflow and temperature.

Combine HEs in series. Stabilize initial conditions.

Integrate all 7 HE to total HRSG. Validate heat transfer, pressure and

temperature.

If stable and working as expected, implement bottoming cycle with simplified

gas turbine, steam turbine and idealized condenser after steam turbine.

Page 63: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

62

8.6 HRSG build-up

A piece-wise buildup of the HRSG-module, as previously stated, is the best practice

to validate the steady-state data from Thermoflow for an initial model. Properties for

the different HRSG-sections vary largely depending on whether the water is

evaporating, pre-heating or super-heating inside the tubes. External surface and fin-

configurations also vary between each section and are defined in detail in the

Thermoflow data. [14]

In the context of object-oriented modelling, it is convenient to split the model of a

generic heat exchanger (HE) into several interacting parts, belonging to three

different classes [42]

The model of the fluid flowing within a defined volume,

The model of the metalwalls enclosing the fluid

And the model of the heat transfer between the fluid and the metal, or

between the metal and the outer world.

Each heat-exchanger (HE) used to design the total HRSG is based on the

Thermopower model HE2ph, which is a counter-current multi-phase heat-exchanger

schematically illustrated in figure 31 below.

I II III IV V VI VII

fluidFlow convHT metalTube cC heatFlowDistrib

ution

convHT2N gasFlow

1D fluid flow

model for

water/steam

(finite

volumes, 2-

phase)

1D

convect

ive heat

transfer

.

Cylindrical

metal tube –

1 radial node

and N axial

nodes.

Counter-

current heat

transfer

adaptor for

1D.

Same heat flow

through two

different

surfaces.

1D convective

heat transfer

between two

DHT connectors

with a different

number of nodes.

1D fluid

flow

model

for gas

(finite

volumes)

Table 2: Table showing the details about the components inside the HE2ph

Page 64: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

63

Figure 31: HRSG build-up. Components inside are numbered and described in table.

Page 65: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

64

8.7 Challenges of parametrization

The Thermoflow data is based on finned heat exchangers, described briefly in chapter

3.3.1. Since the Thermopower library does not contain any finned heat exchangers,

the closest resemblance to our data will be a bare counter current tube two-phase

heat exchanger (HE2ph). Just one out of seven HEs are bare (no finned), and thus

this would be the only exchanger that would be expected to behave close to the

parameters given by the steady-state model.

The HRSG are parameterized with many a lot of manipulated values in order to be

correctly assembled, when compared to the original steady-state Thermoflow data

[14] (appendix) For instance, the external and internal radius of the tubes are

calculated based on the total volume of metal for each meter of tube. (see equation

below). How the amount of metal on the finned tubes should be included in a bare-

tube model has been hard to evaluate. The same goes for the external tube, where

the defined area resembles the bare tube, and not with the finned total area for the

majority of the exchangers. The external tube area used in the simulations are the

prime outside surface from the Thermoflow data, which is assumed to resemble the

bare external area of the tube subtracting area occupied by the fins.

𝑟𝑖𝑛𝑡 =4𝑉𝑓𝑙𝑢𝑖𝑑

𝐴𝑖𝑛𝑡𝑒𝑟𝑛𝑎𝑙,𝑓𝑙𝑢𝑖𝑑⋅

1

2

𝑟𝑒𝑥𝑡 =4(𝑉𝑓𝑙𝑢𝑖𝑑 + 𝑉𝑚𝑒𝑡𝑎𝑙)

𝐴𝑒𝑥𝑡𝑒𝑟𝑛𝑎𝑙,𝑡𝑢𝑏𝑒⋅

1

2

The first approach using the prime outside-surface opened up new problems regarding

wrong external and internal radius when calculated, which is considered to be critical

with regard to mass flow, turbulence and pressure-drop inside the tube. With this in

mind, the external tube surface was defined by the external diameter of the tube. The

difference in numbers are noticeable especially on exchangers with small fin spacing

which occupies larger tube surface.

The reason for this comes clear when examining the parameterization of the HE2ph

model, where the external tube surface is used to calculate the external radius of the

Page 66: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

65

metalTube (III), illustrated as a yellow stroke in figure 32. The external tube surface

is in direct contact with an arbitrary defined exchange surface to the gas, through

heatFlowDistributor (IV) meaning that all heat exchange will go through these two

areas.

Figure 32: Definition of different exchange surfaces in the HE2ph model

Thus, defining the external tube surface and the gas exchange surface can be done

separately, which is needed for finned tubes. Recapping from chapter 3.3, the

effective heat transfer of a finned heat exchanger can be regulated through any of the

variables in the equation below [13].

𝑄𝑓 = 𝜀𝑓 ⋅ ℎ ⋅ 𝐴𝑐,𝑏 ⋅ 𝜃𝑏

𝜃𝑏 = 𝑇(𝑥) − 𝑇0 = Δ𝑇𝑏

Thus, the heat transfer coefficient, finned area, or the efficiency can be regulated to

fit the cross-flow data.

Page 67: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

66

8.8 Pressure drop calculations

Thermoflow uses ESCOA correlations to calculate the overall pressure-drop though

each heat exchanger [43]. Unfortunate, neither Weiermann nor ESCOA correlations

for pressure drop exist in Dymola, which is suggested to be one of the overall most

accurate correlations done by a study of Næss [44]. In Dymola, the pressure-drop

correlation factor can be set to correspond to the data, calculated by the operation

point of the nominal values. The hydraulic friction coefficient (Kf) is defined by the

operating point, (e.g. nominal values) in Dymola, thus defined by the hardware

pressure drop across the HE. The option to pick either is arbitrary, since the

coefficient will define the pressure drop if calculated, and Kf and Fanning friction

factor (Cf) is correlated.

𝐾𝑓 =Δ𝑃𝑛𝑜𝑚 ⋅ 𝜌𝑛𝑜𝑚

�̇�2⋅ 𝐾𝑓𝑐

𝐶𝑓 = 2𝐾𝑓 ⋅𝐴3

𝜔ℎ𝑦𝑑 ⋅ 𝑙

𝜔ℎ𝑦𝑑 =4 ⋅ 𝐴

𝑃

Pressure calculations alternatives in Dymola:

Friction factor calculated from operating point: the hydraulic friction

coefficient is specified by a nominal operating point (�̇�𝑛𝑜𝑚, Δ𝑝𝑛𝑜𝑚, 𝜌𝑛𝑜𝑚).

Friction factor is computed from the a defined constant value of Fannings

riction factor(𝐶𝑓,𝑛𝑜𝑚)

Fannings friction factor is computed by Colebrook`s equation, assuming

turbulent flow. (Re > 2100)

The last alternatives include Colebrooks equation for turbulent flow, which would

generally be the best option for pressure-drop calculations. However, the use of

Colebrook resulted in inconsistent results and difficulties validating the data.

Nevertheless, because of relatively small pressure-drops and problems initializing the

models with it, an external seperate pressure-drop has been implemented as a pipe-

pressure-drop outside the HE like shown in the figure 33 below. This temporarily

solves the heat transfer problem, but leaves pressure solving for further work.

Page 68: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

67

Figure 33: Single HE validation with seperate pressure drop module

8.9 Calibrating the HRSG heat transfer

The equation below shows a the overall heat transfer equation for a tube as function

of heat transfer coefficient for both sides (ℎ𝑖), heat conduction coefficient 𝑘𝑡𝑢𝑏𝑒, and

fouling factors (R), where the latter is ignored due to low values. Each term represent

a resistance to the heat flow.

1

𝑈0 ⋅ 𝐴0= ∑

1

ℎ𝑖 ⋅ 𝐴𝑖

𝑖

𝑛=1

+ln (

𝑑𝑜

𝑑𝑖) ⋅ 𝑑𝑖

2 ⋅ 𝑘𝑡𝑢𝑏𝑒 ⋅ 𝐴𝑖+ ∑ 𝑅𝑓,𝑖

𝑖

𝑛=1

Page 69: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

68

In table presented, average heat transfer coefficients for each medium in a typical

HRSG is shown.

Section of

HRSG Flue gas

Water in

economiser

Water in

evaporator HP Steam

Heat transfer

coefficient

(HTC)

(𝑾/𝒎𝟐𝑲)

50 500 2500-10000 1000

Table 3: Average HTC values for a HRSG

Usually, the heat transfer is much higher on the water/steam side, than of the gas

side, but the limiting factor is highest resistance, or the lowest heat transfer, which

will be the gas convection. Therefore, the adjustments in the heat transfer coefficient

on the gas side is of importance when refining the data in Dymola model.

A problem with the HTC in the HE-model is that it is set static, so dependency on

thermodynamic variables like temperature and pressure won’t influence the

coefficient. For the current premade HE-model library of Thermopower, this is the

only option set for the current model. The same is given for thermal conductivity.

The conductivity coefficient through both fins and tube has been averaged for the

numbers given in the data, which is defined at an approximate average temperature

in HRSG for 260°C. The value is normally set to about 20 W/mK in general HRSG

models found in the library, and corresponds good with the numbers calculated of

finned pipes in chapter 3.3.

Page 70: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

69

Figure 34: HRSG module for calibration

In general, the HE with the larges impact will influence the system, and calibration

when downwards to the second largest. After some trial and error, some tendencies

and “rules” began to emerge. The impact of these reduces with each number:

1. Adjusting heat exchanger with largest difference in heat transfer.

2. Adjusting down the boiler (evaporator) adds more heat to the superheater

(left) side. The right side (economizer-side) does not get affected much.

3. In general: HEs on the left side is more affected by changes. Right side, few to

none.

HPB1 has the largest area and by far the greatest heat transfer by an order of 5-7x

compared to the other exchangers. The fine-adjustment of this exchanger was critical

to get the others calibrated afterwards without much readjusting the previous ones.

As depicted on figure 34, one important difference to the HRSG model is the removal

of the high-pressure pump between the low temperature economizer (LTE) and high

pressure economizer (HPE0). This is due to the difficulties of initializing the system

when the pump runs outside its pump characteristic.

Thus, the design conditions for the LTE has been set to approximately 18 bar, which

rises the saturation temperature for the water, and thus expensive heat transfer can

easily occur at that would normally be restricted by 𝑇𝑠𝑎𝑡.

The calibration results and error on every heat exchanger is included in the appendix.

Page 71: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

70

9 Evaluation of model

Figure 35: Preliminary model for simulation.

It should be highly noted that the preliminary results in the current model is a work

in progress and does not correspond to the steady-state quality of the Thermoflow

model. Also the transient results simulated do not necessarily represent real ramp-

times on the Oseberg CCGT either, and are merely suggested ramp-values evaluated

from conversations with supervisor Lars O. Nord, mixed with numbers found in

literature-studies of Mertens and book of Kelhofer [2], [35].

The lack of control systems in the model gives the HRSG-module more freedom to

respond quickly to changes than on a real CCGT-plant, which have far more control

valves, start-up criteria and regulation parameters. Previous attempts to include

PID-controllers and control valves on earlier models have failed due to the lack of

good initial conditions on the HRSG-module.

Even though developing a control strategy from the beginning of the project work

was suggested, difficulties with initializing even the simplest HE-models have

postponed this to be topic for further work. Controls can be implemented when

model behavior is thoroughly understood, initial conditions properly implemented and

Page 72: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

71

stabilized conditions are obtained in accordance with the steady-state model data.

For this reason, no control-strategies have been introduced to the current model and

not evaluated during the course of building the model.

Figure 36: Semi-stable model of the Oseberg D plant, including pumps and pressure-control thorugh

valves.

Implementing pumps have been a thorough problem in completing the model, but a

semi-stable model has been produced (figure 36 above) able to simulate 238 seconds

of start-up. Due to oscillating start-up conditions, mainly from the bad initialization

in the HRSG, the flow in both the HP feed-pump after the LTE (1st economizer) and

the condensing forwarding pump, will operate outside their pump characteristics

defined by the Thermoflow data sheets, and thus stop the iteration while simulating.

Options to force front-flow and introduce check-valves on the pumps have failed due

to negative flow-patterns in the initial 100 seconds of the simulation.

Starting the model with steady-state initialization is also an option, but experience

shows that too many dependencies on other dynamic initializations influence the

start-up negatively. Thus, stable start-up data is needed to initialize a more complex

steam-cycle, which is a topic for further work.

Page 73: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

72

10 Results of preliminary tests

One interesting parameter, that is not included in this dataset, is the steam-quality

in each HE during transient operation. To visualize the evaporation-data at transient

conditions would help see where the boiling occurs, and in which heat exchanger.

Furthermore, the results are only preliminary, and does not necessarily give

indications on how the steady-state HRSG would behave.

Recent research shows that an option for disabling the dynamic momentum term in

the HE-models may help stabilize fluctuating pressure oscillations [42]. This is though

most relevant to sonic phenomena, and may not influence the current model

conditions noticeably when looking at the current timescale. Also suggestions of a

numerical stabilization coefficient (𝛼) found in the same paper could help stabilize

the model, which is said to be predefined in current HE-code. It should be

emphasized to investigate these options in further work for these models.

10.1 Warm start-up ramp: 5 min

A start-up from stabilized initial conditions at 42% GT-load, with the rest of the

cycle being at nominal values. The initial ignition point is considered by the GT-

model in Thermopower to be minimum running condition for the gas turbine, still at

chocked conditions. Ramping is linearly up toward 100% load at the span of 5

minutes, giving approximately 2.1MW/min ramp time for the GT. Extended views of

the data can be found the appendix.

Page 74: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

73

0

5000

10000

15000

20000

25000

30000

3800 4000 4200 4400 4600 4800 5000 5200 5400

Po

wer

ou

tpu

t [k

W]

time [s]

GT el.power and ST mech power output

GasTurbine,P_el SteamTurbine,Pm

0

2 000

4 000

6 000

8 000

10 000

12 000

14 000

16 000

18 000

3800 4000 4200 4400 4600 4800 5000 5200 5400

Q -

he

at t

ran

sfe

r to

wat

er/

ste

am [

kW]

time [s]

HRSG heat transfer to fluid

HPS3,fluidFlow,Q HPS1,fluidFlow,Q HPS0,fluidFlow,Q HPB1,fluidFlow,Q

HPE3,fluidFlow,Q HPE0,fluidFlow,Q LTE,fluidFlow,Q

Page 75: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

74

The most differentiating results lies in the high inlet pressure in the economizers and

throughout the evaporator, with values close to 50 bar. Even though the source of

this has not been investigated thoroughly, it is likely that either the modified 18 bar

nominal value of LTE, in combination with the static boundary condition of the

inletMassflow could be the cause.

The vast pressure-drop down to approximately 18 bar (nominal HRSG-value), is

caused over the pressure-drop module after the HPB1 evaporator. Though designed

to have a nominal pressure-drop of only 1.3 bar, the drop is nearly 25 bar, and it is

not clear if the pressure-drop has any coherence with the boundary condition set on

the inlet, or that the module itself causes it. More investigation of the inlet conditions

are needed to debug these phenomena.

0,0

50,0

100,0

150,0

200,0

250,0

300,0

350,0

400,0

450,0

500,0

3800 4300 4800 5300

tem

pe

ratu

re [

de

g C

]

time [s]

Temp.water/steam HRSG module

Tw_HPS3_in,T

Tw_HPS1_in,T

Tw_HPS0_in,T

Tw_HPB1_in,T

Tw_HPE3_in,T

Tw_HPE0_in,T

Tw_LTE_in,T

SteamTurbine,steamState_in,T

10

15

20

25

30

35

40

45

50

3800 4300 4800 5300

pre

ssu

re [

bar

]

time [s]

Pressure.water/steam inlet HRSG modules

Tw_HPS3_in.flange.p

Tw_HPS1_in.flange.p

Tw_HPS0_in.flange.p

Tw_HPB1_in.flange.p

Tw_HPE3_in.flange.p

Tw_HPE0_in.flange.p

Tw_LTE_in.flange.p

SteamTurbine.steamState_in.p

Page 76: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

75

Temperature in through the last superheater increases by almost 250°C from the

ramp-up, while the other exchangers has an overall increase of about 30-50°C.

The heat transfer at 42% load gives the front HPS3 high relative heat transfer,

because of its designed heat transfer properties. Thus the heat transfer at the

backend receives lower temperatures than the superheater absorbs.

As expected, when the load increases, the heat transfer shifts to the boiler, while

reducing the relative amount of heat absorbed by the superheater.

Page 77: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

76

10.2 Part-load: GT ramp 80% to 100% and back

The second part-load simulations tests the regulation from 80% GT-load to 100% and

back to 80% over period of 1000 seconds. Both the ramp-up and down are 1MW/min

with a constant design-load over 400 seconds in the middle.

5 000

7 000

9 000

11 000

13 000

15 000

17 000

19 000

21 000

23 000

25 000

27 000

3800 4000 4200 4400 4600 4800 5000 5200 5400

Po

wer

ou

tpu

t [k

W]

time [s]

GT el.power and ST mech power outputPart-load: 80% to 100% and back. Period T = 16.67 min

SteamTurbine,Pm GasTurbine,P_el

Page 78: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

77

0

2 000

4 000

6 000

8 000

10 000

12 000

14 000

16 000

18 000

3800 4000 4200 4400 4600 4800 5000 5200 5400

Q -

he

at t

ran

sfe

r to

wat

er/

ste

am [

kW]

time [s]

HRSG heat transfer to fluidPart-load: 80% to 100% and back. Period T = 16.67 min

HPS3,fluidFlow,Q HPS1,fluidFlow,Q HPS0,fluidFlow,Q HPB1,fluidFlow,Q

HPE3,fluidFlow,Q HPE0,fluidFlow,Q LTE,fluidFlow,Q

Page 79: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

78

0

50

100

150

200

250

300

350

400

450

500

3800 4000 4200 4400 4600 4800 5000 5200 5400

tem

pe

ratu

re [

de

g C

]

time [s]

Temp.water/steam inlet HRSG modulesPart-load: 80% to 100% and back. Period T = 16.67 min

Tw_HPS3_in,T Tw_HPS1_in,T Tw_HPS0_in,T

Tw_HPB1_in,T Tw_HPE3_in,T Tw_HPE0_in,T

Tw_LTE_in,T SteamTurbine,steamState_in,T

Page 80: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

79

10

15

20

25

30

35

40

45

50

3800 4000 4200 4400 4600 4800 5000 5200 5400

pre

ssu

re [

bar

]

time [s]

Pressure.water/steam inlet HRSG modulesPart-load: 80% to 100% and back. Period T = 16.67 min

Tw_HPS3_in.flange.p Tw_HPS1_in.flange.p

Tw_HPS0_in.flange.p Tw_HPB1_in.flange.p

Tw_HPE3_in.flange.p Tw_HPE0_in.flange.p

Tw_LTE_in.flange.p SteamTurbine.steamState_in.p

Page 81: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

80

The same phenomena for the shift in relative heat transfer to the HEs can be seen in

the part-load change too. The temperature lag is largest for the high-pressure

exchangers, with over 300 seconds before the temperature starts increasing. The

HPB1 boiler is though quite responsive and follows the transient close to the actual

GT-load.

The steam generator also shows a lag with respect to the power output adjacent with

the gas turbine. It is thus clear that the power generation in the steam turbine will

go on despite the lower load change in the GT.

11 Review of work

The initial approach was to get familiar with the simulation software

Dymola/Modelica. While the main Modelica library contain documentation on all of

its components, the Thermopower library was not documented directly into the

library, but externally through various research papers and publications on its

webpages. The Thermopower package is transparent in its buildup of code and

models, but has few or none pre-made models beside the elementary components that

construct these. This is especially relevant to multicomponent heat exchangers. This

made the learning the modulation of the models ineffective, and manual research into

the source-code itself was the way to investigate the behavior of the various steam

cycle components.

A mistake not clarified early on in the project, was the initial approach to test

existing models in the Thermopower library. Even though Thermopower do contain

some test-models of HRSGs, a thorough compatibility issue with current version of

Dymola resulted all the initial models to fail compilation, due to different variable

dependencies with current Modelica library. This source of this error was made

evident late into the project, and thus a lot of time were used construction models

that would not compile, even the most basic HE. Together with a disjoint sets

documentation behind the library led to the evaluation of using an alternative

software to simulate the work instead.

Page 82: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

81

However, the Thermopower models was later made compatible (with help from

Rubèn M. Montañès) with the current version of Dymola, and thus a two-phase HE-

model could be built and tested.

Emphasizing the need of proper steady-state data to model even the simplest heat

exchangers was not considered critical during the startup of the project. Making

dynamic modelling directly is a near to impossible task, unless steady-state

initialization of the models are achieved forehand. Nevertheless, for full-scale

simulation of a CC, steady-state data is vital in order to obtain useful data for a full-

scale transient operation.

12 Conclusion

A preliminary dynamic HRSG model based on Oseberg D steam cycle was developed

in Dymola. The lack of a cross-current heat exchangers with defined fin-area made

the initial models hard to iterate. Static and predefined heat transfer properties and

initialization options made the primary work focusing on debugging and

parameterizing of the models.

It is advised that newer models should be built on dimensionless numbers and

common variables for heat transfer and flow, and thus ease of transfer of parameters

and validation of results between different power simulation software. This is

reasonable since Thermopower allows for the detailed build-up of such models, and

such work should be done in further studies of combined cycle technology.

The results from the simulation show expected behaviors related to heat transfer

during transient operation. However, validation and refinement of the current model

is needed to get more accurate and reliable transient data for the CC. The HRSG-

module shows highest sensitivity to transient operation, and is unfortunately the

most rigid module in the cycle. Properties of a more representative HRSG-module has

been suggested, and focus on stabilization and proper initialization should be the

focus for further work.

From reviewed current research papers, another library called ThermoSysPro is

widely used for both dynamic and steady-state simulations of drum-based natural

Page 83: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

82

circulating horizontal HRSG-modules, mostly onshore [45]. The distinct differences

between these libraries have not been examined through this report. They should be

considered reviewed for later work in order to emphasize the differences the two

libraries represent.

Page 84: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

83

13 Appendix

Part-load trapes input signal: (1 = 100%)

Name Description Value

amplitude Amplitude of trapezoid 0.20

rising Rising duration of trapezoid [s] 300

width Width duration of trapezoid [s] 400

falling Falling duration of trapezoid [s] 300

period Time for one period [s] 1000

nperiod Number of periods (< 0 means infinite number of

periods)

1

offset Offset of output signal 0.80

startTime Output = offset for time < startTime [s] 4000

Page 85: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

84

GasTurbine

Name Value Description

maxPower 25e6 [W]

flueGasNomFlowRate m_fluegas Nominal flue gas flow rate [kg/s]

flueGasMinFlowRate 57.97 Minimum flue gas flow rate [kg/s]

flueGasOffFlowRate flueGasMinFlowRate/100 Flue gas flow rate with GT switched off [kg/s]

fuelNomFlowRate 1.312 Nominal fuel flow rate [kg/s]

fuelIntFlowRate 0.7677 Intermediate fuel flow rate [kg/s]

fuelMinFlowRate 0.4966 Minimum fuel flow rate [kg/s]

fuelOffFlowRate 0.011 Flue gas flow rate with GT switched off [kg/s]

constTempLoad 0.60 Fraction of load from which the temperature is kept constant

intLoad 0.42 Intermediate load for fuel consumption computations

flueGasNomTemp 480 Maximum flue gas temperature [K]

flueGasMinTemp 274.85 Minimum flue gas temperature (zero electrical load) [K]

flueGasOffTemp 90 Flue gas temperature with GT switched off [K]

fuel_LHV 50.047e6 Fuel Lower Heating Value [J/kg]

fuel_HHV 55.533e6 Fuel Higher Heating Value [J/kg]

Steam Turbine Stodala – Nominal/design values.

Type Name Default Description

Boolean explicitIsentropicEnthalpy true Outlet enthalpy computed by

isentropicEnthalpy function

MassFlowRate wnom m_steam Inlet nominal flowrate [kg/s]

Pressure pnom 16.5 Nominal inlet pressure [Pa]

Real eta_mech 0.98 Mechanical efficiency

Boolean allowFlowReversal system.allowFlowReversal = true to allow flow reversal,

false restricts to design direction

Real eta_iso_nom 0.92 Nominal isentropic efficiency

Area Kt �̇�

√(𝑝𝑖𝑛 .𝑛𝑜𝑚𝑖𝑛𝑎𝑙 𝜌𝑖𝑛,𝑛𝑜𝑚𝑖𝑛𝑎𝑙) ∙ √1 − (𝑝𝑜𝑢𝑡,𝑛𝑜𝑚

𝑝𝑖𝑛,𝑛𝑜𝑚)

2

Kt coefficient of Stodola's law

[m2]

Real partialArc_nom 1 Nominal partial arc

Initialisation

MassFlowRate wstart m_steam Mass flow rate start value [kg/s]

Real PRstart 16.5/p_cond Pressure ratio start value

Page 86: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

85

HRSG Oseberg D - Default values, steady stateheat transfer to water/steam (Q) [kW]

HPS3 HPS1

Ideal Real Increase Q if + Ideal Real Increase Q if +

3542 2804 20,84 % 339 229 32,45 %

DIFF [kW] -738 DIFF [kW] -110

HPE3 (OTB) HPE0

Ideal Real Increase Q if + Ideal Real Increase Q if +

2094,9 1401 33,12 % 1918,6 1866 2,74 %

DIFF [kW] -693,9 DIFF [kW] -52,6

HPS0 (OTB) HPB1 (OTB)

Ideal Real Increase Q if + Ideal Real Increase Q if +

726,3 795 -9,46 % 16779,5 18249 -8,76 %

DIFF [kW] 68,7 DIFF [kW] 1469,5

LTE CALIBRATION

Ideal Real Increase Q if + % Total ideal Q 25400,3

2481,75 3240 -30,55 % Total real Q 25344

DIFF [kW] 758,25 DIFF ideal/real 56,3

Comment:Default values derived in SI-units and entered into HE2ph Dymola/Modelica model. In total: 7 heat exchangers

Small initial overall heat transfer difference. Locally on every HE, up to 30% increase or decrease

Page 87: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

86

HRSG Oseberg D -Corrected values, steady state (5000s)heat transfer to water/steam (Q) [kW]

HPS3 HPS1 HPS0 (OTB)

Ideal Real Δ Ideal Real Δ Ideal Real Δ

3542 3573 -0,88 % 339 341 -0,59 % 726,3 728 -0,23 %

31 2 1,7

Steam In Steam In Steam In

16.94 p 16.78 p 16.99 p 17.7 p 17.08 p 17.71 p

250 T 255.4 T 234.5 T 241.1 T 204.5 T 210.3 T

2916.1 h 2929.9 h 2877.4 h 2890.9 h 2794.7 h 2807.6 h

Steam Out Steam Out Steam Out

16.5 p (B.C) 16.5 p 16.94 p 16.77 p 16.99 p 17.66 p

430.1 T (B.C) 430.1 T 250 T 255.4 T 234.5 T 241.1 T

3319 h (B.C) 3338 h 2916.1 h 2929.9 h 2877.4 h 2890.9 h

Gas In Gas In Gas In

480 T (B.C) 480 T 439.9 T 438.2 T 436 T 434.2 T

Gas Out Gas Out Gas Out

439.9 T 438.2 T 436 T 434.2 T 427.8 T 425.6 T

HPE3 (OTB) HPE0 LTE

Ideal Real Δ Ideal Real Δ Ideal Real Δ

2094,9 2104 -0,43 % 1918,6 1940 -1,12 % 2481,75 2488 -0,25 %

HT to water 9,1 21,4 6,25

Water In Water In Water In

18.2 p 47.5 p 18.44 p 47.61 p 18.77 p (B.C) 47.90 p

152.8 T 152.6 T 101.5 T 100.4 T 33.66 T (B.C) 32.39 T

645.2 h 646.1 h 426.7 h 424.4 h 141 h (B.C) 140.0 h

Water Out Water Out Water Out

17.93 p 47.46 p 18.2 p 47.47 p 1.054 p 47.62 p

206.9 T 207.3 T 152.8 T 152.6 T 101.1 T 100.4 T

883.8 h 886.7 h 645.2 h 646.1 h 423.7 h 424.4 h

Gas In Gas In Gas In

231.9 T 222.7 T 206.9 T 196.6 T 183.8 T 172.5 T

Gas Out Gas Out Gas Out

206.9 T 196.6 T 183.8 T 172.4 T 153.8 T (B.C) 153.8

HPB1 (OTB) Calibration

Ideal Real Δ Total ideal Q 25400,3

16779,5 16804,4 -0,15 % Total real Q 25490,4

24,9

Water In Increase if Q+

17.93 p 47.4638 DIFF ideal/real -90,1

206.9 T 207.347

883.8 h 886707 Comment:Steam Out * B.C. indicates boundry conditions set static for the system.

17.08 p 17.7146 * Inlet water is set to 18.72 bar. HP_Pump integration avoided.

204.5 T 210.322 * p[bar], T[C], M[kg/s], h [kJ/kg]

2794.7 h 2807.6 * Steam Properties: IAPWS-IF97

Gas In

427.8 T 425.599

Gas Out

231.9 T 222.677

Page 88: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

87

SI-unit corrected Thermoflow data

HPS3 HPS1 HPS0 (OTB) HPB1 (OTB) HPE3 (OTB) HPE0 LTE UNIT

Fin-tube type Serrated fins Bare Serrated fins Serrated fins Serrated fins Serrated fins Serrated fins

Tube arrangement Staggered Staggered Staggered Staggered Staggered Staggered Staggered

Fin material TP409 N/A TP409 TP409 TP409 TP409 TP409

Tube material Incoloy Incoloy Incoloy Incoloy Incoloy Incoloy Incoloy

Tube outer diameter 0,03175 0,03175 0,03175 0,03175 0,03175 0,0254 0,0254 [m]

Tube outer radius (rext) 0,015875 0,015875 0,015875 0,015875 0,015875 0,0127 0,0127

Tube INNER radius (rint) 0,01397 0,01397 0,01397 0,01397 0,01397 0,011049 0,009652

Tube wall thickness 0,001905 0,001905 0,001905 0,001905 0,001905 0,001651 0,003048 [m]

Fin height 0,009525 0 0,009525 0,009525 0,009525 0,0127 0,0127 [m]

Fin spacing 0,004373 0 0,002229 0,002229 0,002229 0,007557 0,008303 [m]

Fin thickness 0,001 0 0,001 0,001 0,001 0,001 0,001 [m]

Number of fins per meter 186,1 0 309,7 309,7 309,7 116,9 107,5

Serrated fin segment width 0,00397 0 0,00397 0,00397 0,00397 0,00397 0,00397 [m]

# of serrated fin segments 26,63 1 26,63 26,63 26,63 22,11 22,11

Un-serrated height / fin height 0,2 1 0,2 0,2 0,2 0,2 0,2

Longitudinal row pitch 0,07 0,07 0,07 0,07 0,07 0,07 0,07 [m]

Transverse tube pitch 0,07142 0,07288 0,07142 0,07142 0,07142 0,07142 0,07142 [m]

# of tube rows (longitudinal) 6 1 1 15,62 6 5 5

# of rows per pass 3 1 2 2 2 1 1

# of tubes per row (transverse) 28 28 29 28 28 28 28

Tube length 7,127 7,127 7,127 7,127 7,127 7,127 7,127 [m]

Gas path transverse width 2,036 2,036 2,036 2,036 2,036 2,036 2,036 [m]

Gas path frontal area 14,51 14,51 14,51 14,51 14,51 14,51 14,51 [m^2]

HX total outside surface area 660,9 19,86 88,12 2654,1 998,5 393,3 368,2 [m^2]

Maximum gas velocity 22,93 19,58 23,18 20,18 16,48 12,3 11,54 [m/s]

Gas pressure drop 0,004295 0,0002623 0,0005651 0,01326 0,004039 0,001384 0,001209 [bar]

Steam side velocity 27,81 66,72 30,56 0,2969 0,2869 0,868 1,09 [m/s]

Steam side DP from hardware 0,2842 0,8659 0,0537 1,335 0,008 0,1442 0,2856 [bar]

Heat transfer from gas 3555000 341200 729100 16842000 2102700 1925800 2491000 [W]

Heat transfer to steam 3529000 338700 723600 16717000 2087100 1911400 2472500 [W]

HPS3 HPS1 HPS0 (OTB) HPB1 (OTB) HPE3 (OTB) HPE0 LTE

Gas In 480,00 439,90 436,00 427,80 231,90 206,90 183,80 [C]

Gas In 78,40 78,40 78,40 78,40 78,40 78,40 78,40 [kg/s]

Gas Out 439,90 436,00 427,80 231,90 206,90 183,80 153,80 [C]

Gas Out 78,40 78,40 78,40 78,40 78,40 78,40 78,40 [kg/s]

Steam Out 16,50 16,94 16,99 17,08 17,93 18,20 1,05 [bar]

Steam Out 430,10 250,00 234,50 204,50 206,90 152,80 101,10 [C]

Steam Out 3319,00 2916,10 2877,40 2794,70 883,80 645,20 423,70 [kJ/kg]

Steam Out 8,75 8,75 8,75 8,75 8,75 8,75 8,75 [kg/s]

Steam In 16,94 16,99 17,08 17,93 18,20 18,44 1,09 [bar]

Steam In 250,00 234,50 204,50 206,90 152,80 101,50 33,66 [C]

Steam In 2916,10 2877,40 2794,70 883,80 645,20 426,70 141,00 [kJ/kg]

Steam In 8,75 8,75 8,75 8,75 8,75 8,75 8,75 [kg/s]

Page 89: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

88

HPS3 HPS1 (BARE!) HPS0 (OTB) HPB1 (OTB) HPE3 (OTB) HPE0 LTE

Inlet Gas side gasNomPressure 1,0430 1,0387 1,0384 1,0379 1,0246 1,0206 1,0192 bar

Inlet Fluid side fluidNomPressure 16,94 16,99 17,08 17,93 18,20 18,44 1,09 bar

exchSurface_G 660,9 19,86 88,12 2654,1 998,5 393,3 368,2 m2

exchSurface_F (including fins) 105,10 17,52 18,14 273,60 105,10 69,27 60,51 m2

extSurfaceTub (only tube) 119,43 19,90 20,62 310,91 119,43 79,62 79,62 m2

extSurfaceTub (prime outer surface) 97,33 19,86 7,13 214,70 80,78 70,38 71,14 m2

gasVol 5,138 0,858 0,850 13,361 5,132 4,567 4,57 m3

fluidVol 0,7341 0,1224 0,1267 1,9111 0,7341 0,3827 0,2920 m3

serratedFinVol 6,74E-03 0,00E+00 1,94E-03 2,92E-02 1,12E-02 4,70E-03 4,33E-03 m3

unserratedFinVol 1,69E-03 0,00E+00 4,84E-04 7,30E-03 2,80E-03 1,18E-03 1,08E-03 m3

tubeInconelVol 2,14E-01 3,56E-02 3,69E-02 5,57E-01 2,14E-01 1,23E-01 2,14E-01 m3

metalVol_total (not used) 0,222 0,036 0,039 0,593 0,228 0,129 0,219 m3

metalVol_only_tube 0,2139 0,0356 0,0369 0,5568 0,2139 0,1229 0,2136 m3

Efficency of HE MULTIPLY with lambda, gammaG/F 0,78 0,08 0,13 0,89 0,68 0,49 0,45 -

heat capactity rhomcm 3597200 3597200 3597200 3597200 3597200 3597200 3597200 J/m3*K

conductivity lambda 20,86 20,86 20,86 20,86 20,86 20,86 20,86 W/m*K

gamma_G 137,30 96,00 85,30 111,90 106,20 130,80 128,00 W/m^2*K

HTC gas side gamma_G_corrected (fin efficiency) 107,53 96,00 11,05 99,23 72,64 63,73 57,48 W/m^2*K

HTC fluid side gamma_F 754,40 1839,50 1086,90 25807,00 3045,00 6761,00 6141,00 W/m^2*K

FFtype_G FFtypes.OpPointFFtypes.OpPointFFtypes.OpPointFFtypes.OpPointFFtypes.OpPointFFtypes.OpPointFFtypes.OpPoint

Hydraulic res. CoefficientKfnom_G - - - - - - - not needed - calculated

P-drop(nom) dpnom_G 0,004295 0,0002623 0,0005651 0,01326 0,004039 0,001384 0,001209 [bar]

density gas inlet rhonom_G (ideal gas law used) 0,474800389 0,499436728 0,502056586 0,507653444 0,695561723 0,728900456 0,764709826 [kg/m3]

Fanning Fric.Factor Cfnom_G - - - - - - - not needed

FFtype_F FFtypes.OpPointFFtypes.OpPointFFtypes.OpPointFFtypes.OpPointFFtypes.OpPointFFtypes.OpPointFFtypes.OpPoint

Kfnom_F - - - - - - -

P-drop (nom) fluid dpnom_F (hardware pdrop) 0,2842 0,8659 0,0537 1,335 0,008 0,1442 0,2856 [bar]

density fluid inlet rhonom_F (use Steam.density_pT(p, T)) Se row 43+44 Se row 43+44 Se row 43+44 Se row 43+44 Se row 43+44 Se row 43+44 Se row 43+44 [kg/m3]

Cfnom_F - - - - - - -

Initialization HPS3 HPS1 (BARE!) HPS0 (OTB) HPB1 (OTB) HPE3 (OTB) HPE0 LTE

T_startbar_G 459,95 437,95 431,9 329,85 219,4 195,35 168,8 [C]

pstart_G gasNomPressuregasNomPressuregasNomPressuregasNomPressuregasNomPressuregasNomPressuregasNomPressure

Tstartbar_M default default default default default default default

pstart_F 16,94 16,99 17,08 17,93 18,20 18,44 1,09

Ssinit FALSE FALSE FALSE FALSE FALSE FALSE FALSE

FluidPhaseStart Twophase Twophase Twophase Twophase Twophase Twophase Twophase

HPS3 HPS1 (BARE!) HPS0 (OTB) HPB1 (OTB) HPE3 (OTB) HPE0 LTE

Pipe pressure drop Given NO dP in HX (linear to w) [Pa/kg*s] 3248,74257 9898,26246 613,8545953 15260,631 91,44947417 1648,376772 3264,746228

Pipe cross-area Pipe cross-section 0,002452464 0,002452464 0,002452464 0,002452464 0,002452464 0,001534108 0,001170697

Fraciont of nominal flow rate at which linear friction equals turbulent frictionwnf 0,05 0,05 0,05 0,05 0,01 0,05 0,04

12. Fin thermal conductivi ty @ 500 F (260 C) [W/m-C] 2,61E+01 2,61E+01 2,61E+01 2,61E+01 2,61E+01 2,61E+01 26,13

13. Fin thermal conductivi ty s lope [W/m-C^2] 7,50E-03 7,50E-03 7,50E-03 7,50E-03 7,50E-03 7,50E-03 0,01

14. Tube thermal conductivi ty @ 500 F (260 C) [W/m-C] 1,56E+01 1,56E+01 1,56E+01 1,56E+01 1,56E+01 1,56E+01 15,58

15. Tube thermal conductivi ty s lope [W/m-C^2] 1,68E-02 1,68E-02 1,68E-02 1,68E-02 1,68E-02 1,68E-02 0,02

16. Pass inlet & exi t DP (0=1 vel . head, 1=180 deg. bend) 0,00E+00 0,00E+00 0,00E+00 0,00E+00 0,00E+00 0,00E+00 0,00

17. Water/steam side fouling factor [m^2-C/W] 8,81E-05 8,81E-05 8,81E-05 8,81E-05 8,81E-05 8,81E-05 8,81E-05

18. Gas side fouling factor [m^2-C/W] 1,76E-04 1,76E-04 1,76E-04 1,76E-04 1,76E-04 1,76E-04 1,76E-04

19. Gas s ide convective h.t.c. adjustment factor 1,00E+00 1,00E+00 1,00E+00 1,00E+00 1,00E+00 1,00E+00 1,00

20. Gas s ide pressure drop correction factor 9,00E-01 9,00E-01 9,00E-01 9,00E-01 9,00E-01 9,00E-01 0,90

21. Water s ide h.t.c. adjustment factor 1,00E+00 1,00E+00 1,00E+00 1,00E+00 1,00E+00 1,00E+00 1,00

Page 90: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

89

Outputs: HPS3 HPS1 (BARE!) HPS0 (OTB) HPB1 (OTB) HPE3 (OTB) HPE0 LTE

22. Number of tube rows (longitudinal ) 6,00 1,00 0,51 15,62 5,88 5,00 5,00

23. Number of rows per water s ide flow pass 3,00 1,00 2,00 2,00 2,00 1,00 1,00

24. Number of tubes per row (transverse) 28,00 28,00 29,00 28,00 28,00 28,00 28,00

25. Tube length [m] 7,13 7,13 7,13 7,13 7,13 7,13 7,13

26. Gas path transverse width [m] 2,04 2,04 2,04 2,04 2,04 2,04 2,04

27. Gas path frontal area [m^2] 14,51 14,51 14,51 14,51 14,51 14,51 14,51

28. Min. gas free flow cross section / frontal area 0,50 0,56 0,47 0,46 0,46 0,59 0,60

29. H.T. surface area / min. free flow cross section 15,26 2,43 25,20 25,20 25,20 9,15 8,52

30. Gas s ide Nusselt number Re coefficient 0,23 0,18 0,15 0,20 0,20 0,27 0,27

31. Primary tube surface / tota l heat transfer surface 0,15 1,00 0,08 0,08 0,08 0,18 0,19

32. Gas s ide friction factor Re coefficient 6,72 0,34 10,30 9,13 9,13 5,66 5,48

33. Heat exchanger prime outside surface [m^2] 97,33 19,86 7,13 214,70 80,78 70,38 71,14

34. Heat exchanger total fin area [m^2] 563,60 0,00 80,99 2439,40 917,70 322,90 297,00

35. Heat exchanger total outside area [m^2] 660,90 19,86 88,12 2654,10 998,50 393,30 368,20

36. Radiation beam mean length [m] 0,14 0,15 0,14 0,14 0,14 0,19 0,19

37. Gas mass flux before tube bundles [kg/m^2-s ] 5,40 5,40 5,40 5,40 5,40 5,40 5,40

38. Gas mass flux @ min. free flow cross section [kg/m^2-s ] 10,87 9,57 11,43 11,63 11,63 9,12 9,07

39. Gas face veloci ty [m/s] 11,39 11,05 10,96 9,37 7,66 7,28 6,87

40. Maximum gas veloci ty [m/s] 22,93 19,58 23,18 20,18 16,48 12,30 11,54

41. Gas Reynolds Number 10681,00 10029,00 12169,00 13301,00 14647,00 9782,00 10528,00

42. Gas Prandtl Number 0,71 0,71 0,71 0,72 0,72 0,72 0,72

43. Gas convective Nusselt Number 85,35 62,85 58,67 84,41 89,96 95,12 101,50

44. Gas s ide convective heat transfer coeff. [W/m^2-C] 135,90 92,35 84,49 111,50 106,00 130,60 127,90

45. Gas s ide radiative heat transfer coeff. [W/m^2-C] 1,40 3,65 0,81 0,47 0,18 0,23 0,14

46. Gas side total adjusted h.t.c. [W/m^2-C] 137,30 96,00 85,30 111,90 106,20 130,80 128,00

47. Fin effectiveness 0,71 0,00 0,79 0,74 0,75 0,59 0,59

48. Heat exchanger effectiveness 0,78 0,08 0,13 0,89 0,68 0,49 0,45

49. Effective / tota l external area 0,76 1,00 0,81 0,76 0,77 0,66 0,67

50. Gas pressure drop [mi l l ibar] 4,30 0,26 0,57 13,26 4,04 1,38 1,21

51. Water s ide flow cross section area [m^2] 0,05 0,02 0,04 0,03 0,03 0,01 0,01

HPS3 HPS1 (BARE!) HPS0 (OTB) HPB1 (OTB) HPE3 (OTB) HPE0 LTE

52. Water s ide mean veloci ty [m/s] 27,81 66,72 30,56 0,30 0,29 0,87 1,09

53. Water s ide Reynolds Number 216952,00 809633,00 420715,00 54856,00 47528,00 82396,00 49147,00

54. Water s ide Prandtl Number 0,99 1,08 1,15 0,88 0,98 1,36 2,67

55. Water s ide Nusselt Number 425,90 1256,70 759,20 136,40 125,90 217,70 180,20

56. Water s ide pressure drop from hardware [bar] 0,28 0,87 0,05 1,34 0,01 0,14 0,29

57. Water s ide pressure drop correction factor 1,00 1,00 1,00 1,00 1,00 1,00 1,00

58. Water side heat transfer coefficient [W/m^2-C] 754,40 1839,50 1086,90 25807,00 3045,00 6761,00 6141,00

59. Overall heat transfer coefficient [W/m^2-C] 51,38 87,32 38,84 69,27 56,15 72,27 66,90

60. Estimated minimum tube wal l temperature [C] 343,50 249,70 300,00 211,20 169,00 113,60 57,97

61. Estimated maximum tube wal l temperature [C] 454,70 264,30 320,70 243,00 214,40 160,80 117,80

62. Maximum al lowable tube wal l metal temperature [C] 648,90 648,90 648,90 648,90 648,90 648,90 648,90

63. Estimated maximum fin tip temperature [C] 465,10 N/A 355,40 311,40 220,70 187,50 155,90

64. Recommended maximum fin metal temperature [C] 676,70 N/A 676,70 676,70 676,70 676,70 676,70

65. Estimated maximum al lowable water s ide pressure [bar] 139,00 151,10 149,70 153,80 154,80 175,50 367,30

Thermodynamics:

66. Gas massflow across HX [kg/s ] 78,40 78,40 78,40 78,40 78,40 78,40 78,40

67. Gas temperature entering HX [C] 480,00 439,90 436,00 427,80 231,90 206,90 183,80

68. Gas enthalpy entering HX [kJ/kg] 621,56 576,21 571,86 562,56 347,74 320,92 296,36

69. Gas temperature exi ting HX [C] 439,90 436,00 427,80 231,90 206,90 183,80 153,80

70. Gas enthalpy exi ting HX [kJ/kg] 576,21 571,86 562,56 347,74 320,92 296,36 264,58

71. Heat transfer from gas [kW] 3555,20 341,20 729,10 16842,50 2102,70 1925,80 2491,00

72. Water/steam massflow exi ting HX [kg/s ] 8,75 8,75 8,75 8,75 8,75 8,75 8,75

73. Water/steam pressure entering HX [bar] 16,90 17,00 17,10 17,90 18,20 18,40 1,10

74. Water/steam temperature entering HX [C] 250,00 234,50 204,50 206,90 152,80 101,50 33,70

75. Water/steam enthalpy entering HX [kJ/kg] 2916,08 2877,37 2794,65 883,76 645,19 426,70 141,05

76. Water/steam pressure exi ting HX [bar] 16,50 16,90 17,00 17,10 17,90 18,20 1,10

77. Water/steam temperature exi ting HX [C] 430,10 250,00 234,50 204,50 206,90 152,80 101,10

78. Water/steam enthalpy exi ting HX [kJ/kg] 3319,45 2916,08 2877,37 2794,65 883,76 645,19 423,67

79. Heat transfer to water/steam [kW] 3528,80 338,70 723,60 16717,10 2087,10 1911,40 2472,50

80. Log mean temperature di fference [C] 104,70 195,60 212,20 91,60 37,70 67,20 100,30

Page 91: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

90

14 References

[1] SSB, “Utslipp av klimagasser, 1990-2014, endelige tall,” no. SSB, 18.

desember 2015, 2014.

[2] N. Mertens, F. Alobaid, R. Starkloff et al., “Comparative investigation

of drum-type and once-through heat recovery steam generator during

start-up,” Applied Energy, vol. 144, pp. 250-260, 4/15/, 2015.

[3] O. Technology, “Norway to set high carbon tax on oil and gas

production,” Offshore Technology, pp. 1, 17 October 2012, 2012.

[4] P. Kloster, “Energy Optimization on Offshore Installations with

Emphasis on Offshore Combined Cycle Plants,” in Offshore Europe

Conference, Aberdeen, Scotland, 1999.

[5] N. Mertens, F. Alobaid, T. Lanz et al., “Dynamic simulation of a triple-

pressure combined-cycle plant: Hot start-up and shutdown,” Fuel, vol.

167, pp. 135-148, 3/1/, 2016.

[6] K. Jonshagen, “Modern Thermal Power Plants-Aspects on Modelling

and Evaluation,” Doctor Thesis, Department of Energy Sciences, Lund

University, Room M:B, M-building, Ole Römers väg 1, Lund University,

Faculty of Engineering, 2011.

[7] K. Jonshagen, and M. Genrup, “Improved load control for a steam cycle

combined heat and power plant,” Energy, vol. 35, no. 4, pp. 1694-1700,

4//, 2010.

[8] G. Aviation, “product sheet of the LM2500+G4 gas turbine,” 2015.

[9] P. Construction. "Luna Energy Facility - 600 MW Combined Cycle

Power Plant," 29.feb 2016; http://www.pcl.com/Projects-that-

Inspire/Pages/Luna-Energy-Facility-600-MW-Combined-Cycle-Power-

Plant.aspx.

[10] "Carbon Steel Titanium Spiral Finned Tube For Boiler Economizer,"

2016.

[11] S. c. I. A. 800, 2004.

Page 92: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

91

[12] N. A. Stainless. "Flat Products Stainless Steel Sheet T409,"

http://www.northamericanstainless.com/wp-

content/uploads/2010/10/Grade-409.pdf.

[13] T. L. Bergman, F. P. Incropera, D. P. DeWitt et al., Fundamentals of

Heat and Mass Transfer: Wiley, 2011.

[14] O. N. Lars, "Thermoflow Output data: Half Oseberg D " O. N. Lars, ed.,

2015.

[15] B. Olav, “Natural Gas Technology, Thermal power generation Autumn

2014,” pp. 176, 2014.02.14, 2014.

[16] Wikipedia, “Daerator sketch,” 2016.

[17] L. O. Nord, and O. Bolland, “Design and off-design simulations of

combined cycles for offshore oil and gas installations,” Applied Thermal

Engineering, vol. 54, no. 1, pp. 85-91, 5/14/, 2013.

[18] M. J. Mazetti, "COMPACTS," COMPACTS,

http://www.sintef.no/en/projects/sintef-energy-research/compacts/, [26.

feb 2016, 2014].

[19] M. Wickham, “Examining Applications Of Offshore Technology To

Onshore Gas Compressor Stations For The Profitable Generation Of

CO2-Free Power,” Heat Recovery Solutions Ltd, 2015.

[20] R. Farmer, "Combined Cycles Offshore, "North Sea platforms are

converting mech drives to

comb cycle operation"," Gas Turbine World, Gas Turbine World, 1998.

[21] M.-S. P. Generation, "MACCHI Complete HRSG Module Offshore

Platform Norway," 2015.

[22] IST, "IST awarded two contracts totalling $10 million," Toronto,

Ontario, IST, 2008.

[23] Aibel, "StatoilHydro awards 58 MUSD Oseberg EPCI contract to Aibel,"

B. Sandal, ed., Aibel, 2008.

[24] L. O. Nord, E. Martelli, and O. Bolland, “Weight and power

optimization of steam bottoming cycle for offshore oil and gas

installations,” Energy, vol. 76, pp. 891-898, 11/1/, 2014.

Page 93: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

92

[25] J. Gilman, “Steam drum, Boiler drum level control,” ISA.org, July-

August 2010, 2016.

[26] J. Franke, U. Lenk, R. Taud et al., Advanced Benson HRSG makes a

successful debut, London, ROYAUME-UNI: Global Trade Media, 2000.

[27] T. Landon, “ Once Through Steam Generators - Design, Operation, and

Maintenance Considerations,” in McIlvaine Company Hot Topic Hour,

2013.

[28] F. Starr, “Background to the design of HRSG systems and implications

for CCGT plant cycling.pdf,” OMMI, vol. 2, no. 1, pp. 17, April 2003,

2003.

[29] P. Fontaine, “Cycling Tolerance - Natural Circulation Vertical HRSGs,”

ASME, 16-19, 2003

2003.

[30] E. Jeffs, Generating Power at High Efficiency: Combined Cycle

Technology for Sustainable Energy Production: Elsevier Science, 2008.

[31] F. Alobaid, R. Starkloff, S. Pfeiffer et al., “A comparative study of

different dynamic process simulation codes for combined cycle power

plants – Part B: Start-up procedure,” Fuel, vol. 153, pp. 707-716, 8/1/,

2015.

[32] N. Group, "Vertical OT HRSGs."

[33] M. R. Beychok, Fundamentals of stack gas dispersion: Milton R.

Beychok Irvine, 1994.

[34] H. Klingenhöffer, “Corrosion Books: Stationäre Gasturbinen. By: C.

Lechner, J. Seume - Materials and Corrosion 11/2003,” Materials and

Corrosion, vol. 54, no. 11, pp. 909-910, 2003.

[35] R. Kehlhofer, F. Hannemann, F. Stirnimann et al., Combined-cycle gas

& steam turbine power plants, 3rd ed. ed., Tulsa, Okla: PennWell, 2009.

[36] N. Yoan, Ellipse Law: Miss Press, 2012.

[37] Ø. Flatebø, “Off-design Simulations of Offshore - Combined Cycles,”

Master of Science in Mechanical Engineering, Department of Energy and

Page 94: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs

93

Process Engineering, Norwegian University of Science and Technology,

2012.

[38] M. T. Schobeiri, Turbomachinery Flow Physics and Dynamic

Performance: Springer Berlin Heidelberg, 2004.

[39] T. S. Kim, D. K. Lee, and S. T. Ro, “Analysis of thermal stress

evolution in the steam drum during start-up of a heat recovery steam

generator,” Applied Thermal Engineering, vol. 20, no. 11, pp. 977-992,

8/1/, 2000.

[40] H. I. H. Saravanamuttoo, Gas Turbine Theory: Pearson Prentice Hall,

2009.

[41] P. d. Milano. "ThermoPower - Open library for thermal power plant

simulation," 10th Des 2015, 2015; http://thermopower.sourceforge.net/.

[42] F. Schiavo, and F. Casella, “Object-oriented modelling and simulation of

heat exchangers with finite element methods,” Mathematical and

Computer Modelling of Dynamical Systems, vol. 13, no. 3, pp. 211-235,

2007/06/01, 2007.

[43] R. Hofmann, F. Frasz, and K. Ponweiser, “Heat transfer and pressure

drop performance comparison of finned-tube bundles in forced

convection,” WSEAS Trans. Heat Mass Transfer, vol. 2, no. 4, pp. 72-

88, 2007.

[44] E. Næss, “Experimental investigation of heat transfer and pressure drop

in serrated-fin tube bundles with staggered tube layouts,” Applied

Thermal Engineering, vol. 30, no. 13, pp. 1531-1537, 9//, 2010.

[45] B. E. Hefni, “Dynamic Modeling of Concentrated Solar Power Plants

with the ThermoSysPro Library (Parabolic Trough Collectors, Fresnel

Reflector and Solar-Hybrid),” Energy Procedia, vol. 49, pp. 1127-1137,

//, 2014.

Page 95: Dynamic process simulation of thermal power plant on ...folk.ntnu.no/magnugul/tep/project_thesis2016.pdf · Dynamic process simulation of thermal power plant on ... 5 HRSG designs