Growing community energy initiatives from the bottom up: Simulating the role of behavioural attitudes and leadership in the Netherlands

Ghorbani, Amineh; Nascimento, Leonardo; Filatova, Tatiana

doi:10.1016/j.erss.2020.101782

Growing community energy initiatives from the bottom up

Title

Growing community energy initiatives from the bottom up: Simulating the role of behavioural attitudes and leadership in the Netherlands

Author

Ghorbani, Amineh (TU Delft Energie and Industrie)
Nascimento, Leonardo (Wageningen University & Research)
Filatova, Tatiana (University of Twente)

Date

2020

Abstract

Local energy initiatives (LEIs) are communities of households who self-organize to meet their energy demand with locally produced green energy. They facilitate citizen participation by developing context-specific solutions, which calls for leadership and complex social dynamics. We present an agent-based simulation model to explore the formation of community energy initiatives from the bottom-up, accounting for social networks and evolution of opinions facilitating or hindering LEIs. Our novel model relies on well-established social theories and uses empirical data on community energy systems in the Netherlands and individual citizens’ preferences. Specifically, our computational model captures behavioural drivers and social value orientations, and relates individuals behavioural traits to aggregated stylized facts about energy initiatives at the community level. The results indicate that when communities lack participants with cooperative orientation, altruistic citizens with prosocial social value orientations become essential for the creation of LEIs, revealing different pathways to achieve public good benefits. Our analysis systematically demonstrate that leaders can be a bottleneck in the LEIs’ formation and that an increase in initiators is conducive to the creation of LEIs. Therefore, policies aiming at increasing the number of community initiatives should target small groups and individuals with the leadership potential, who could lead projects, and explore synergies with wider community benefits.

Subject

Agent-based modelling
Collective action
Community energy systems
Leadership
Local energy initiatives
Solar
Wind energy

To reference this document use:

http://resolver.tudelft.nl/uuid:61607817-a632-4dbc-8d57-cb18ac7b6645

DOI

https://doi.org/10.1016/j.erss.2020.101782

ISSN

2214-6296

Source

Energy Research and Social Science, 70

Part of collection

Institutional Repository