Simulating climate and energy policy with agent-based modelling

The Energy Modelling Laboratory (EMLab)

Journal Article (2017)
Author(s)

Emile Chappin (TU Delft - Energy and Industry, Wuppertal Institute for Climate)

Laurens de Vries (TU Delft - Energy and Industry)

JC Richstein (TU Delft - Energy and Industry, Deutsches Institut für Wirtschaftsforschung)

Pradyumna Bhagwat (University of Florence, TU Delft - Energy and Industry)

Kaveri Iychettira (TU Delft - Energy and Industry)

A.S.M. Khan (TU Delft - Energy and Industry)

Research Group
Energy and Industry
Copyright
© 2017 E.J.L. Chappin, Laurens De Vries, J.C. Richstein, P.C. Bhagwat, K.K. Iychettira, A.S.M. Khan
DOI related publication
https://doi.org/10.1016/j.envsoft.2017.07.009
More Info
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Publication Year
2017
Language
English
Copyright
© 2017 E.J.L. Chappin, Laurens De Vries, J.C. Richstein, P.C. Bhagwat, K.K. Iychettira, A.S.M. Khan
Research Group
Energy and Industry
Volume number
96
Pages (from-to)
421-431
Reuse Rights

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Abstract

We present an approach to simulate climate and energy policy for the EU, using a flexible and modular agent-based modelling approach and a toolbox, called the Energy Modelling Laboratory (EMLab). The paper shortly reviews core challenges and approaches for modelling climate and energy policy in light of the energy transition. Afterwards, we present an agent-based model of investment in power generation that has addressed a variety of European energy policy questions. We describe the development of a flexible model core as well as modules on carbon and renewables policies, capacity mechanisms, investment behaviour and representation of intermittent renewables. We present an overview of modelling results, ongoing projects, a case study on current reforms of the EU ETS, and we show their relevance in the EU context.

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