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A dynamic simulation of low-carbon policy influences on endogenous electricity demand in an isolated island system

Matthew, George Jr.; Nuttall, William J.; Mestel, Ben and Dooley, Laurence S. (2017). A dynamic simulation of low-carbon policy influences on endogenous electricity demand in an isolated island system. Energy Policy, 109 pp. 121–131.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1016/j.enpol.2017.06.060
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Abstract

This paper considers the dynamics of electricity demand in response to changes arising from low-carbon policies and socio-economic developments. As part of an investigation into the evolution of such systems on small economically-developed islands, endogenous electricity demand and associated policies are studied for the Azorean island of São Miguel. A comprehensive System Dynamics (SD) model covering the period 2005 − 2050 is presented which captures both historical behaviours and real-world influences on the endogenous demand dynamics of an island-based electricity system. The impact of tourism, energy efficiency and electric vehicles (EV) expansion allied with associated policy options, are critically evaluated by the SD model using a series of scenarios. The model shows that energy efficiency measures exhibit the most significant long-term impact on electricity demand, while in contrast, policies to increase tourism have a much less direct impact and EV expansion has thought-provoking impacts on the long-term demand, although this is not as influential as energy efficiency measures.

Item Type: Journal Item
Copyright Holders: 2017 Elsevier Ltd.
ISSN: 0301-4215
Project Funding Details:
Funded Project NameProject IDFunding Body
The Open University (OU)Not SetNot Set
Keywords: endogenous electricity demand; island electricity systems; system dynamics; electric-vehicles expansion; energy efficiency; tourism
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Engineering and Innovation
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Research Group: Centre for Research in Computing (CRC)
Item ID: 50206
Depositing User: George Matthew
Date Deposited: 17 Jul 2017 09:08
Last Modified: 11 Sep 2018 19:05
URI: http://oro.open.ac.uk/id/eprint/50206
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