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Simulating climate and energy policy with agent-based modelling : The Energy Modelling Laboratory (EMLab). / Chappin, Emile J.L.; de Vries, Laurens J.; Richstein, Joern C.; Bhagwat, Pradyumna; Iychettira, Kaveri; Khan, Salman.

In: Environmental Modelling & Software, Vol. 96, 01.10.2017, p. 421-431.

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@article{63cab4ee163042df900b6ed07b9d7b4c,
title = "Simulating climate and energy policy with agent-based modelling: The Energy Modelling Laboratory (EMLab)",
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.",
keywords = "Agent-based modelling, Energy and climate policy, Energy modelling laboratory, Energy transition, Investment",
author = "Chappin, {Emile J.L.} and {de Vries}, {Laurens J.} and Richstein, {Joern C.} and Pradyumna Bhagwat and Kaveri Iychettira and Salman Khan",
year = "2017",
month = "10",
day = "1",
doi = "10.1016/j.envsoft.2017.07.009",
language = "English",
volume = "96",
pages = "421--431",
journal = "Environmental Modelling & Software",
issn = "1364-8152",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Simulating climate and energy policy with agent-based modelling

T2 - Environmental Modelling & Software

AU - Chappin, Emile J.L.

AU - de Vries, Laurens J.

AU - Richstein, Joern C.

AU - Bhagwat, Pradyumna

AU - Iychettira, Kaveri

AU - Khan, Salman

PY - 2017/10/1

Y1 - 2017/10/1

N2 - 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.

AB - 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.

KW - Agent-based modelling

KW - Energy and climate policy

KW - Energy modelling laboratory

KW - Energy transition

KW - Investment

UR - http://resolver.tudelft.nl/uuid:63cab4ee-1630-42df-900b-6ed07b9d7b4c

UR - http://www.scopus.com/inward/record.url?scp=85027562617&partnerID=8YFLogxK

U2 - 10.1016/j.envsoft.2017.07.009

DO - 10.1016/j.envsoft.2017.07.009

M3 - Article

VL - 96

SP - 421

EP - 431

JO - Environmental Modelling & Software

JF - Environmental Modelling & Software

SN - 1364-8152

ER -

ID: 25369867