Agent-based modelling of socio-economic challenges of the energy transition

The energy transition as a socio-economic challenge

The transition of the energy system is ongoing, a process that appears to be more successful in some EU countries than in others. Stringent targets are close, both on the EU and national level. The heat sector needs to overcome its use of fossil fuels by energy efficiency measures and the installation of technologies such as heat pumps. The transportation sector needs to increase its share of electric vehicles in order to decrease emissions. Rising shares of renewable energy generation, meaning more volatile energy provision and a more and more decentralised structure require new approaches to match consumption with generation. Innovative energy market designs could generate price signals which incentivise flexibility for instance through storage and/or demand response. In addition, power grids need to be reinforced and expanded in ways that are accepted by the affected population.

The success of such approaches is strongly dependent not only on finding technical solutions and economic approaches for markets, but also on the diffusion of required technical innovations, the design and implementation of appropriate policies, integrating stakeholder perspectives and the public acceptance of new ways of energy usage. Therefore, socio-economic aspects of the energy transition are crucial for its success.

Agent-based modelling is a promising way to represent the heterogeneity of the involved actors and their interaction, to capture spatial aspects of energy transition and to investigate processes of individual decision making in various ways. Agent-based simulations enable the exploration of these fundamental processes and emergent system-level phenomena in an empirically grounded, explicit way. Finally, ABM is capable to offer science-based instruments and approaches to govern and steer the energy transition process successfully.


Track chairs

  • Dr. Sascha Holzhauer Department Integrated Energy Systems, University of Kassel
  • Dr. Friedrich Krebs Department Integrated Energy Systems, University of Kassel
  • Emile Chappin Faculty of Technology, Policy and Management, Delft University of Technology


List of presentations

AuthorsTitleType of SubmissionPresentation Time
Mohammad Ahanchian, Ali Tash and Ulrich FahlImproving actors’ rational mobility behaviour and investment towards engagement in German energy transitionFull paper30 min
Emile Chappin, Ivo Bouwmans and Emma DeijkersEMLab-Consumer – Simulating Energy Efficiency Adoption Decisions of European HouseholdsFull paper30 min
Sebastian Hoffmann and Fabian AdeltFeedback and interventions for changing end-user behavior in smart grids. An application of the model of frame selectionFull paper30 min
Ashreeta Prasanna, Sascha Holzhauer and Friedrich KrebsA survey on the use of machine learning in agent-based models of energy marketsFull paper30 min
Giulia Chersoni, Nives Della Valle and Magda FontanaAn agent-based model of innovation diffusion: a behavioral economic approachExtended abstract15 min
Ulrich J. Frey, Christoph Schimeczek, Marc Deissenroth, Benjamin Fuchs and Kristina NienhausEnhancing reproducibility through a common framework for ABMSExtended abstract15 min
Jens Maiwald and Tino SchuetteDecentralised Electricity Markets And Proactive Costumer BehaviourExtended abstract15 min
Tristan de Wildt and Emile ChappinThe unbalances in well-being caused by the energy transition: ABM and scenario discoveryExtended abstract15 min
Marius Schwarz, Quentin Auzepy and Christof KnoeriAn agent-based model of California’s transition towards a carbon-free grid – The role of battery storage, electric vehicles and time-varying elctricity pricingExtended abstract15 min