Aalborg University, September October 2005
PhD-course: Energy System Analysis I:
Introduction to the
EnergyPLAN model
Henrik Lund
Aalborg University
Denmark
Content: Workshop aproach…!!
Development aproach..!!


1. (23 August): Introduction to studies made by the use of
EnergyPLAN. Discussion of participants ideas of PhD projects
and potential use of the model.
2. (30 August): Details inside the model. How does it work?
How are the modelling of specific components, units etc?
Discussion of PhD-projects: Strengths and weakness of the
model?
– The period between 23 August and 5 September: Participants
install the model and make familiar with the model and make som
preliminary analyses.

3. (6 September): Discussion of participants analyses. Results,
problems, room for improvements of the model…!!! Etc..
www.plan.aau.dk/~lund

Download EnergyPLAN

Download
documentation

Links to journal articles
(results)

Links to research
reports (Danish)
EnergyPLAN Model 6.0
Input
Demands
Fixed electricity
Flexible electricity
District Heating
Output
Distribution Data:
Electricity
Solar
District H.
Wind
Industrial CHP
Market Prices
Photo Voltaic
RES
Wind and PV
Capacities (MW)
Distribution Factor
Solar Thermal and
CSHP (TWh/year)
Capacities &
Efficiencies
CHP, Power plant,
Heat Pump, Boiler
Heat Storage
Regulation
Market prises
Multiplication factor
Addition factor
Depend factor
Marginal production
Cost (Import, export)
Stabilisation demands
Regulation strategy:
1. Meeting heat demand
2. Meeting both heat and electricity demand
Electricity Market Strategy:
Import/export optimisation
Critical surplus production:
• reducing wind,
• replacing CHP with boiler or heat pump
• Electric heating and/or Bypass
Fuel
Types of fuel
CO2 emission factors
Fuel prices
Results:
(Annual, monthly and
hour by hour values)
•Heat productions
•Electricity production
•Electricity import
export
•Forced electricity
surplus production
•Fuel consumption
•Payments from
import/export
•CO2 emissions
•Share of RES
Energy System
Wind
Power
Import
Export
Photo
Voltaic
Electricity
Demand
Power
Plant
CHP unit
CSHP unit
Transport
Flexible
Heat
Pump
Fuel
Boiler
DH-boiler
Heat
Storage
Solar
Thermal
Heat
Demand
Energy System 6.2
Water
Storage
Wind
Power
Wave
Energy
Photo
Voltaic
Pump
Import
Export
Turbine
Electricity
Demand
Power
Plant
CHP unit
CSHP unit
Electrolyser
Transport
Flexible
Heat
Pump
Fuel
Heat
Storage
Boiler
DH-boiler
Solar
Thermal
Heat
Demand
Overview
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
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

Initial calculations





From annual values to hour by hour
RES modifications
Market price modifications
DH production
Flexible demand



Technical optimisation of regulation I, II, III or IV accordingly
Eventual market optimisation
Improvements by use of Heat storage
Optimisation calculations
NEW: Calculating electricity storage and electrolysers
Reducing critical excess production
Electrcity market modelling
Calculating resulting fuel and CO2 outputs
From annual values to hour by
hour
-
-
-
Demands (elec.
And district
heating, eventual
transport)
RES (wind and
pv etc.)
Market prices
Fixed
import/export
RES modifications
eW  new
1
 eW old *
1  FacW * (1  eW old )
Market price modifications
pi (DKK/MWh) = NPi * F + Pa
+ Facdepend * Dtrade
DH production
qDHP = qi - qsolar - qCSHP
Flexible demand
Overview





Initial calculations





From annual values to hour by hour
RES modifications
Market price modifications
DH production
Flexible demand





Technical optimisation of regulation I, II, III or IV accordingly
Eventual market optimisation
NEW: Calculating electrolysers
NEW: Calculating electricity storage
Improvements by use of Heat storage
Optimisation calculations
Reducing critical excess production
Electrcity market modelling
Calculating resulting fuel and CO2 outputs
Regulation strategies
1. Meeting heat demands
 2. Meeting both heat and electricity
demands

3. Like 2 BUT reduce CHP also when is
needed for stabilisation reasons
 4. Like 1 BUT meeting triple tariff.

Limitations



Stabilisation share
Minimum CHP 3 level
Heat pump share of district heating
production
Eventual market optimisation
Marginal
production
costs
compared
to market
prices
define the
production
Energy System 6.2
Water
Storage
Wind
Power
Wave
Energy
Photo
Voltaic
Pump
Import
Export
Turbine
Electricity
Demand
Power
Plant
CHP unit
CSHP unit
Electrolyser
Transport
Flexible
Heat
Pump
Fuel
Heat
Storage
Boiler
DH-boiler
Solar
Thermal
Heat
Demand
Electrolyser

Produce fuel in the case of critical excess
production

Heat replace 1. boilers, 2. CHP and 3. heat
pumps in the relevant DH-group.

Fuel is used to replace fuel consumption in
CHP and boilers in the relevant DH-group.
Electricity storage

Fill storage when positive critical excess
production

Empty storage to replace condensing power
plant production

Iteration of storage content untill the content
in the beginning of the year is the same as in
the end.
Heat storage
In two situations the storage can be loaded:
 A: Increasing the use of HP in situations with
electricity export.
 B: Moving the electricity production from condensing
plants, epp to CHP plants
In two situations the storage can be unloaded:
 C: Reducing the CHP production in situations with
electricity export
 D: Reducing the boiler production.
B is secondary to A and D is secondary to C. The four
loading and unloading cases are used in the following
order: C-A-B-D.
Overview





Initial calculations





From annual values to hour by hour
RES modifications
Market price modifications
DH production
Flexible demand





Technical optimisation of regulation I, II, III or IV accordingly
Eventual market optimisation
NEW: Calculating electrolysers
NEW: Calculating electricity storage
Improvements by use of Heat storage
Optimisation calculations
Reducing critical excess production
Electrcity market modelling
Calculating resulting fuel and CO2 outputs
Critical Excess
production
1 Reducing wind production
2. Reducing CHP in gr. 2 replacing with boiler
3. Reducing CHP in gr. 3 replacing with boiler
4. Replacing boiler with electric heating in gr. 2
5. Replacing boiler with electric heating in gr. 3
6. Reducing PV production
7. Reducing power plant in combination with wind
and PV production
Electricity Market modelling

1. System prices

2. Export bottleneck

3. Both export and
import bottlenecks
Resulting fuel and CO2 outputs
Results:
Aalborg University, September October 2005
PhD-course: Energy System Analysis I:
Introduction to the
EnergyPLAN model
Henrik Lund
Aalborg University
Denmark