Agent-Based Modelling of the Social Dynamics of Energy End-Use

Book chapter (2019)

Authors

E.J.L. Chappin Energy and Industry

I. Nikolic System Engineering -

N. Yorke-Smith Algorithmics - , American University of Beirut

Research Group

Energy and Industry

DOI: https://doi.org/10.1016/B978-0-12-818567-4.00029-6

Simulation Methodology Case studies Energy use Agent-based models Energy behaviour

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Published Date

2019

Language

English

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Research Group

Energy and Industry

Abstract

Agent-based modelling and simulation is now accepted as a valuable tool for describing the dynamics of complex socio-technical systems, and for studying complex adaptive systems. This chapter surveys the opportunities and challenges in agent-based models (ABM) for the social dynamics of energy end use. Following an introduction to the methodology of ABM, we discuss the ability of ABM to capture heterogeneous, boundedly rational and imperfectly informed behavioural factors at the individual, household, and neighbourhood levels, including the usage of micro-generation and local storage. We review three archetypal case studies of ABM: energy efficiency in domestic heating, electric vehicle adoption, and energy management in smart grids. We conclude with directions for the future, pointing out the importance of ABM in the context of multidisciplinary studies of energy behaviours.

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