Jumping to a better world: An agent-based exploration of criticality in low-carbon energy transitions
Authored by O Kraan, Steven Dalderop, Gert Jan Kramer, Igor Nikolic
Date Published: 2019
DOI: 10.1016/j.erss.2018.08.024
Sponsors:
No sponsors listed
Platforms:
NetLogo
Model Documentation:
ODD
Pseudocode
Model Code URLs:
https://www.comses.net/codebases/5836/releases/1.1.0/
Abstract
Understanding the possible transition pathways of the energy system
requires the integration of human behaviour in energy system models. In
order to model the influence of actor behaviour we have developed ACT
(Agent-Based Model of Critical Transitions), an agent-based model
inspired by an existing conceptualisation of critical transitions. ACT
allows us to depart from the current mean-field approach and explicitly
explore the effects of heterogeneity, leaders, and networks on the
transition. Two key finding are (1) the importance of local communities
and (2) leaders can both encourage and discourage the energy transition;
a finding that nuances existing literature on critical transitions. We
conclude with a reflection on the strengths and weaknesses of our
modeling approach.
Tags
Simulation
Policy
Community
Technology adoption
Power
renewable energy
Energy transition
Challenges
Climate-change
Social-science
Critical transitions
Agent-based
modelling
Rethinking
Grass-roots