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Accounting for changes in
investment flows in a soft-
linked hybrid model
Maurizio Gargiulo
E4SMA Srl, Turin, Italy.
Environmental Research Institute, University College Cork, Ireland
Kristoffer Steen Andersen
Ph.D student
DTU Management Engineering
2
TIMES-DK and IntERACT developers
Agenda
• What is IntERACT
• Modelling approach
• Model setup and Linking approach
• Cockpit
• Summary
3
What is IntERACT?
• Purpose-built hybrid model for identifying cost efficient
policies to further the Danish transition to a low carbon
emission economy by 2050
Scenario
2012 2020 2050
Short term Medium term Long term
Alternative (New policy)Baseline
4
www.ens.dk/interact
IntERACT: Hybrid model capturing the
Danish economy and energy system
Technology explicitness
Behavioral realism
Top-down approach
Bottom-up approach
General equilibrium feedback
IntERACT
Note: Adapted from Jaccard (2009)
: TIMES-DK model
: CGE model
5
Model setup
TIMES-DK energy
system model
General Equilibrium
Model
- 20 sectors
- Utility maximisation
- Profit maximisation
Change in demand for energy
services on a sector level
• Price of energy services
• Price of intermediates such as
electricity and district heating
• Energy subsidies and taxes
IntERACTMODEL
6
Technology explicit
Behavioural realism
General equilibrium feedback
Energy service as a crux for linking
K
L
E
i
B?
M
m1 m2 mi…
s=0
s=*
s=*
s=*
s=*
Coal Oil DH..Gas Biomass…
s=0
DHgasoilcoal … Biom.
Energy service
Bottom-up fuel mix
* Elasticities haven been estimated in the spring
of 2015, find more info at: www.ens.dk/interact
7
• This is implemented in the CGE
using price-wedge and as
Leontief-shares.
• Agents maximise profit and utility
using the costs of the energy
service (relative prices as usual).
• The assumption is that firms and households make economic decision
based on the (relative) prices of energy services.
• TIMES-DK determines the price of energy services and fuel mix
(technology decisions happens in TIMES-DK).
Accounting investment flows
• This soft-linking approach transfer energy (service) prices and
fuel uses from TIMES to the CGE-model.
• Using the properties of the standard zero profit condition in the
CGE-model the change in investment flow (capital demand) is
calculated residually based on the change in energy service price
and the change in fuel input.
• This suggest one possible approach for taking investment flows
from bottom-up models into account.
• This approach is implicitly based on the assumption that only
capital input and fuels input changes between different TIMES-DK
scenarios.
• However if other inputs (labour and materials) also changes
significantly between the scenarios then the calculated change in
investment flow (capital demand) may suffer from a bias of some
order of magnitude.
8
Baseline
(calibration)
IntERACT cockpit
(MS Excel)
Defining baseline and
alternative scenarios
Top-down
assumptions:
Growth assumptions,
elasticities, macro
closure.
Bottom-up
assumptions:
Energy service demand,
Fuel cost, Technology
catalog
CGE productivity
indicies
2015-2050
Alternative
scenarios
(iteration)
TIMES -> CGE
Electricity and district heat
prices,
fuel mix, subsidies and taxes
(%TIMESscenario%.gdx)
CGE->TIMES
Adjusted demand
projection
(%ZZ-CGE_Linking%.dd)
TIMES -> CGE
Electricity and district heat
production and prices
Fuel use supply sector
(%TIMESbaseline%.gdx)
TIMES-DK
Baseline scenario
2010-2050
CGE alternative
Alternative scenarios
2010-2050
TIMES-DK
Alternative scenario
2010-2050
CGE reference
Baseline scenario
(2010-2050)
Report (2010-2050)
9
Model setup
10
Baseline scenario
• Common data (e.g. Economic projection from Danish Ministry of
Finance)
• The CGE model is calibrated using
 Economic projection from the Danish Ministry of Finance
and Information, and
 TIMES-DK stand alone optimisation to set up some prices
and fuel mix.
• CGE productivity indices are calculated so that the CGE-model
match the Energy system in the TIMES-DK baseline.
Alternative scenarios
- Models are soft-linked and solved in an interative process (5 ys
steps up to 2050)
- The main tests have been done for power sector only model
(3-5 iterations to solve the combined models).
IntERACT: Cockpit
The model is run in its own MS Excel user-interface
11
Summary
• IntERACT model developed a generic and rather efficient
methodology for linking a TIMES-model to CGE-model
• This methodology offers a way of taking the macro economic
impact of changes in investment flow from TIMES model into
account
• Currently the automated iterative linking is functioning for
power sector; exchanging information related to prices,
production and demand for electricity and district heat.
• Work is currently underway testing the iterative linking and
expanding it to the other parts of the energy system.
12
Thank you for your attention
For more information, feed-back or question please contact:
Kristoffer Steen Andersen
Ph.D student
DTU Management Engineering
+45 6060 3159
krisan@dtu.dk
Maurizio Gargiulo gargiulo.maurizio@gmail.com
E4SMA Srl, Turin, Italy.
www.e4sma.com, www.linkedin.com/company/e4sma, https://twitter.com/E4SMAsrl
Environmental Research Institute, University College Cork, Ireland
13

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Accounting for changes in investment flows in a soft-linked hybrid model

  • 1. Accounting for changes in investment flows in a soft- linked hybrid model Maurizio Gargiulo E4SMA Srl, Turin, Italy. Environmental Research Institute, University College Cork, Ireland Kristoffer Steen Andersen Ph.D student DTU Management Engineering
  • 3. Agenda • What is IntERACT • Modelling approach • Model setup and Linking approach • Cockpit • Summary 3
  • 4. What is IntERACT? • Purpose-built hybrid model for identifying cost efficient policies to further the Danish transition to a low carbon emission economy by 2050 Scenario 2012 2020 2050 Short term Medium term Long term Alternative (New policy)Baseline 4 www.ens.dk/interact
  • 5. IntERACT: Hybrid model capturing the Danish economy and energy system Technology explicitness Behavioral realism Top-down approach Bottom-up approach General equilibrium feedback IntERACT Note: Adapted from Jaccard (2009) : TIMES-DK model : CGE model 5
  • 6. Model setup TIMES-DK energy system model General Equilibrium Model - 20 sectors - Utility maximisation - Profit maximisation Change in demand for energy services on a sector level • Price of energy services • Price of intermediates such as electricity and district heating • Energy subsidies and taxes IntERACTMODEL 6 Technology explicit Behavioural realism General equilibrium feedback
  • 7. Energy service as a crux for linking K L E i B? M m1 m2 mi… s=0 s=* s=* s=* s=* Coal Oil DH..Gas Biomass… s=0 DHgasoilcoal … Biom. Energy service Bottom-up fuel mix * Elasticities haven been estimated in the spring of 2015, find more info at: www.ens.dk/interact 7 • This is implemented in the CGE using price-wedge and as Leontief-shares. • Agents maximise profit and utility using the costs of the energy service (relative prices as usual). • The assumption is that firms and households make economic decision based on the (relative) prices of energy services. • TIMES-DK determines the price of energy services and fuel mix (technology decisions happens in TIMES-DK).
  • 8. Accounting investment flows • This soft-linking approach transfer energy (service) prices and fuel uses from TIMES to the CGE-model. • Using the properties of the standard zero profit condition in the CGE-model the change in investment flow (capital demand) is calculated residually based on the change in energy service price and the change in fuel input. • This suggest one possible approach for taking investment flows from bottom-up models into account. • This approach is implicitly based on the assumption that only capital input and fuels input changes between different TIMES-DK scenarios. • However if other inputs (labour and materials) also changes significantly between the scenarios then the calculated change in investment flow (capital demand) may suffer from a bias of some order of magnitude. 8
  • 9. Baseline (calibration) IntERACT cockpit (MS Excel) Defining baseline and alternative scenarios Top-down assumptions: Growth assumptions, elasticities, macro closure. Bottom-up assumptions: Energy service demand, Fuel cost, Technology catalog CGE productivity indicies 2015-2050 Alternative scenarios (iteration) TIMES -> CGE Electricity and district heat prices, fuel mix, subsidies and taxes (%TIMESscenario%.gdx) CGE->TIMES Adjusted demand projection (%ZZ-CGE_Linking%.dd) TIMES -> CGE Electricity and district heat production and prices Fuel use supply sector (%TIMESbaseline%.gdx) TIMES-DK Baseline scenario 2010-2050 CGE alternative Alternative scenarios 2010-2050 TIMES-DK Alternative scenario 2010-2050 CGE reference Baseline scenario (2010-2050) Report (2010-2050) 9
  • 10. Model setup 10 Baseline scenario • Common data (e.g. Economic projection from Danish Ministry of Finance) • The CGE model is calibrated using  Economic projection from the Danish Ministry of Finance and Information, and  TIMES-DK stand alone optimisation to set up some prices and fuel mix. • CGE productivity indices are calculated so that the CGE-model match the Energy system in the TIMES-DK baseline. Alternative scenarios - Models are soft-linked and solved in an interative process (5 ys steps up to 2050) - The main tests have been done for power sector only model (3-5 iterations to solve the combined models).
  • 11. IntERACT: Cockpit The model is run in its own MS Excel user-interface 11
  • 12. Summary • IntERACT model developed a generic and rather efficient methodology for linking a TIMES-model to CGE-model • This methodology offers a way of taking the macro economic impact of changes in investment flow from TIMES model into account • Currently the automated iterative linking is functioning for power sector; exchanging information related to prices, production and demand for electricity and district heat. • Work is currently underway testing the iterative linking and expanding it to the other parts of the energy system. 12
  • 13. Thank you for your attention For more information, feed-back or question please contact: Kristoffer Steen Andersen Ph.D student DTU Management Engineering +45 6060 3159 krisan@dtu.dk Maurizio Gargiulo gargiulo.maurizio@gmail.com E4SMA Srl, Turin, Italy. www.e4sma.com, www.linkedin.com/company/e4sma, https://twitter.com/E4SMAsrl Environmental Research Institute, University College Cork, Ireland 13