Modelling the energy transition: Towards an application of agent based modelling to integrated assessment modelling

Oscar Kraan, Gert Jan Kramer, Telli van der Lei, G Huppes

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

To attain a better understanding of the energy transition we have applied Agent Based Modelling (ABM) to Integrated Assessment Modelling (IAM) in an abstract model with which we developed a proof of concept model of society’s response to a changing climate and energy system. Although there is no doubt that large scale neoclassical IAMs have provided key insights for business decisions and policy makers, we argue that there is a need for an approach that focuses on the role of heterogeneous agents. With our abstract ABM based on agents with heterogeneously spread discount rates we were able to give a new perspective on appropriate discount rates in the discussion between mitigation and adaption to climate change. We concluded that applying ABM to IAM yields good prospects to the further development of the implementation of society’s response to a changing environment and we propose future additions of the model to include adaptive behaviour.

Original languageEnglish
Title of host publicationProceedings of Advances in Social Simulation 2015
PublisherSpringer
Pages207-216
Number of pages10
Volume528
ISBN (Print)9783319472522
DOIs
Publication statusPublished - 2017
Event11th Conference of the European Social Simulation Association - s.l., Groningen, Netherlands
Duration: 14 Sep 201518 Sep 2015
Conference number: 11

Publication series

NameAdvances in Intelligent Systems and Computing
Volume528
ISSN (Print)21945357

Conference

Conference11th Conference of the European Social Simulation Association
Abbreviated title ESSA 2015
CountryNetherlands
City Groningen
Period14/09/1518/09/15

Keywords

  • Adaptation
  • Agent based modelling
  • Climate change
  • Costbenefit analysis
  • Integrated assessment modeling
  • Mitigation

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