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