Volltext-Downloads (blau) und Frontdoor-Views (grau)
  • search hit 1 of 1
Back to Result List

Simulating climate and energy policy with agent-based modelling : the energy modelling laboratory (EMLab)

  • 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 onWe 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.show moreshow less

Export metadata

Additional Services

Search Google Scholar    

Statistics

frontdoor_oas
Metadaten
Document Type:Peer-Reviewed Article
Author:Emile Jean Louis Chappin, Laurens J. de Vries, Jörn C. Richstein, Pradyumna Bhagwat, Kaveri Iychettira, Salman Khan
DOI (citable link):https://doi.org/10.1016/j.envsoft.2017.07.009
Year of Publication:2017
Language:English
Source Title (English):Environmental modelling and software
Volume:96
First Page:421
Last Page:431
Divisions:Zukünftige Energie- und Industriesysteme
Dewey Decimal Classification:600 Technik, Medizin, angewandte Wissenschaften