Investment in the future electricity system - An agent-based modelling approach

Authored by Igor Nikolic, O Kraan, G J Kramer

Date Published: 2018

DOI: 10.1016/j.energy.2018.03.092

Sponsors: No sponsors listed

Platforms: R

Model Documentation: ODD Flow charts

Model Code URLs: https://www.comses.net/model/5361/version/view/

Abstract

Now that renewable technologies are both technically and commercially mature, the imperfect rational behaviour of investors becomes a critical factor in the future success of the energy transition. Here, we take an agent-based approach to model investor decision making in the electricity sector by modelling investors as actors with different (heterogeneous) anticipations of the future. With only a limited set of assumptions, this generic model replicates the dynamics of the liberalised electricity market of the last decades and points out dynamics that are to be expected as the energy transition progresses. Importantly, these dynamics are emergent properties of the evolving electricity system resulting from actor (investor) behaviour. We have experimented with varying carbon price scenarios and find that incorporating heterogeneous investor behaviour results in a large bandwidth of possible transition pathways, and that the depth of renewables penetration is correlated with the variability of their power generation pattern. Furthermore, a counter-intuitive trend was observed, namely that average profits of investors are seen to increase with carbon prices. These results are a vivid and generic illustration that outcome based policy cannot be solely based on market instruments that rely on perfect rational and perfectly informed agents. (C) 2018 The Authors. Published by Elsevier Ltd.

Tags

Agent-based modelling electricity markets market power Energy Emissions Electricity Scenarios Protocol Impact Price Investor behaviour Decarbonisation Power-generation Gas