Technical innovations in the district heating system in Odense Generally about Fjernvarme Fyn A/S GIS Modelling of district heating networks Metering Peer.

Technical innovations in the district heating system in Odense• Generally about Fjernvarme Fyn A/S

• GIS

• Modelling of district heating networks

• Metering

Peer Andersen, Fjernvarme Fyn A/S

District heating workshop Visegrad 2012, november 5-6.

Generally about Fjernvarme Fyn A/S

Side 2

Fjernvarme Fyn A/S is owned by the municipalities of Odense (97 %) and Nordfyn (3 %).

Fjernvarme Fyn A/S is managed by a board of directors selected by the town council and members selected by the employees

Number of employees: 94

Fjernvarme Fyn A/S is a DH distribution company with 100 % heat production capacity in peak and reserve load boiler facilities.

Side 3

Annual turnover 2011Income Mill. Euro

Fixed fee 22Varriable fee 101Metering fee 2Div 3 128

ExpenditureEnergy production 101Staff 6O/M 9Admin. 6 122

Resultat 6 0

20

40

60

80

100

120

Fixed fee Varriable fee Metering fee Div

mio

. Eu

ro

Income 2011

020406080

100120

mio

. Eu

ro

Expenditure 2011

FvF Annual Accounts

Direktør

Økonomi

Kantine

Ledning

Anlæg

Logistik/indkøb

Centraler ogPumpestatione

r

Projekt

El og SRO

Kunderådgivning

Målere

Omstilling

Projekt

Planlægning

GIS

IT Koordinering

Side 4

Side 5

Turbine KlosterbakkenIt started in 1929

Ing. Mengel ”middle of town”.1945 municipality

owned app. 500 coustomers.

1970 municipality reform

Odense became the major

city.In the beginning

of 1980 èrne -

heatingplan Odense

1988 rehabilitation programe

App. 0,2 mia investment

App. 1.000 km. pipes.

Fynsværket CHP in 1954.

2007 shareholders company by fusion with Otterup

Side 6

Fjernvarme Fyn – Area of Supply

Odense Population: 186.932 Households: 90.909 Number of customer connections: 57.675 Main pipelines: 1.735 km

Otterup Population: 11.023 Households: 4.778 Number of customer connections: 1.867 Transmission distance from FYV: 16.6 km Local distribution pipeline: 42.3 km

Munkebo Population: 5.811 Households: 2.632 Number of customer connections: 833 Transmission distance from FYV: 11.5 km Local distribution pipelines: 19 km

Kerteminde Population: 11.011 Households: 4.979 Number of customer connections: 2.146 Transmission distance from FYV: 18.5 km Local distribution pipelines: 30 km

Langeskov Population: 6.417 Households: 2.692 Number of customer connections: 1.525 Transmission distance from FYV: 17.4 km Local distribution pipelines: 45 km

Coal CHP49%

Oil Boiler3%

Natural gas Boiler2%

Biogas CHP1%

Waste incineration CHP18%

Industrial surplus.9%

Straw CHP18%

Heat production 2011

• GIS based on ESRI ArcGIS software packet

• All information on components and pipes is stored in the GIS

All data on the network in one place

with acces for all employees

Designing of network

Signal cable database

Consumption database

Interface to modelling in TERMIS

Maps

Pipe and components data

Information

Decision-making

Mobil GIS

WEB GIS

GIS

for

all

LER

Hydraulic and thermal modelling of the network

Fjernvarme Fyn A/S use TERMIS software for hydraulic and thermal modelling

Models are build from GIS data (pipes, consumers)

Network models used for:

design of network

What if scenario calculations, planning

Operation monitoring with realtime simulation models (intergration with SCADA system)

Optimazation of suply temperature

Pump optimazation

Zone overview

Supply temperature from central

Supply temperature at consumer

Temperature optimization. Target

Temperature

optimization

Purpose: To reduce energy consumption (heat loss and pumping energy)

Temperature distribution

Critical nodes

The model simulate the operation for the next 12 hours based on load forecast

The software find the optimal supply temperature to minimize costs of heat loss and pumping energy.

To bee able to deliver the heat to the consumers at the time they nead it, it is necesarry to compensate for transportation delay between central and consumer.

The load forecast tool use weather forecast data (temperature and windspeed) from Danish Meteorological Institute, and historical load data from the SCADA system

Temperature optimization. Load forecast

Roules

Restrictions

Media velocity < 2 m/s

Max pressure < 60 mVS

Max pressure difference : 3,5 bar

Min pressure difference : 0,5 bar

Temperature in distribution pipes> 60 °C

In the DH system of Fjernvarme Fyn A/S the optimal supply temperature is the lowest possible that meets, either:

1. the required minimum temperature of 60 degrees C in the distribution pipes in all parts of the network (summer and transition periods), or

2. the demand for heat in cold periods without exeeding the pressure limits in the pipes and pumping capacity.

By the end of 2012 temperature optimazation has been impelented in all supply zones.

The reduction of heat loss is approximately 10 %.

Temperature optimization. Load forecast

Transportation delay

Customer Consumption Impact

Individual metering. Incentive to save energy.

Visualization of consumption Easy access

Behavioral effects.

Intelligent service. Benchmarking of consumption

Fjernvarme Fyn – Metering platform 2012

Third-largest district heating company in Denmark in energy sales but largest in network and number of customers:

60.000 metering points

2.000 km distribution pipes

All electronic heat meters of the ultrasonic type

Mobile Radio Network system

Tests and considerations

Return of investmentsReadings so far performed by the municipal

sanitation service twice a month

Prepared for next generation AMR

Mobile Data Transceiver – what is it?

One box for mounting in vehicles.

It contains 2 components:

A GSM modem which every night transmits

data from the mobile RF Concentrator

A Mobile RF Concentrator which during driving picks up meter data

Mobile Data Transceiver – Features based on demand.

Reads out the following data:

Monthly data:

– date/hour, Energy, Volume

Actual data:

– date/hour, Energy, Volume

– Info-codes, Hour counter

– Energy (flow), Energy (return)

Automatic surveillance and adjustment of the internal watch when passing by.

Co-functions with existing RF network.

Mobile Network System features

System features:

Few system components

High read out success rate > 98 %

No operational staff necessary

No predefined routes

Automatic meter registration

Reading via standard radio protocol

Short meter reading time frame

Mobile network

Garbage truck

GPRSGSM

Monthly data

Actual data

The system communicates with the trucks on a daily basis and collects consumption data

Automatic Meter Reading software.

SonWin

Billing system

Customer information

www

Smartphone

Mail

sms

Meter with Radio module

Mobile data transceiver

Side 26

Remote reading of meters

Side 27

Energy Management System

Energy Metering Bus

• Integration of technical and administrative IT systems

• Billing

• GIS

• Data collection

• Data validation

Side 28

The EMS

Energy Management System (EMS)

Web based solution that utilizes advanced energy and consumption management.

The EMS software is a offer to – amongst others –utility companies, energy advisers, industrial companies, and building administrators.

Internally easy access for all staff.

Side 29

Web Tools

WebTools is a offer for private households. Visualising of energy and resource consumption

figures (website/Google Gadgets/smartphones)

Benchmarking and consumption alarms (web/e-mail/SMS)

Information platform.Webportal

Smartphone + IPad

iGoogle gadget

Webportal

IPad og Smartphone

Side 33

IPad og Smartphone

Side 34

Web Tools – email service

Side 35

WebTools i.e. Gadget/Widget

Side 36

EMS Report Examples (environment)

Side 37

Summary – Energy Management System

Analysis, and presentation of energy and resource consumption data

Basis for a god dialog with the customers.

Energy and resource management

Professional building administrators.

Data available for all employees in Fjernvarme Fyn

Documentation of energy savings

PSO – reports.

Environment and Economy related registration, calculation and reporting.

A important tool for intelligent energy savings.

Metering - conclusions

The introduction of individual heat accounting reduction is achieved within two years.

Actual reduction of 15-20 %.

We expect further 5 % reduction in consumption based on visualization.

Dimensioning and optimization of the distribution network

Side 39 Mail [email protected]

Thank you for your attention.