Castagneto Gissey, G;
Zakeri, B;
Dodds, PE;
Subkhankulova, D;
(2020)
Evaluating consumer investments in distributed energy technologies.
Energy Policy
10.1016/j.enpol.2020.112008.
(In press).
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Abstract
The adoption of solar photovoltaic and electrical energy storage by end users depends on their economic attractiveness, which is typically assessed with metrics of future cash flow such as Net Present Value (NPV). Yet analyses using NPV typically do not account for the evolution towards low-carbon electricity systems in the short and long term. We show this to be of critical importance for accurately calculating the profitability of these technologies. By linking an energy system model with a power system model, we observe substantial differences between NPV estimates calculated with and without representing potential evolutions of the electricity system. Our results suggest that not accounting for short- and long-run changes in the electricity system could underestimate the NPV of an investment in photovoltaic and storage by around 20%, especially in scenarios with high levels of renewables, moderate flexibility, and high electrification in the energy system. Using system-dependent cash flow metrics can have a major impact on end-users' energy technology profitability.
Type: | Article |
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Title: | Evaluating consumer investments in distributed energy technologies |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.enpol.2020.112008 |
Publisher version: | https://doi.org/10.1016/j.enpol.2020.112008 |
Language: | English |
Additional information: | © 2020 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10115499 |
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