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Simulating residential demand response: Improving socio-technical assumptions in activity-based models of energy demand

McKenna, E; Higginson, S; Grunewald, P; Darby, SJ; (2018) Simulating residential demand response: Improving socio-technical assumptions in activity-based models of energy demand. Energy Efficiency , 11 (7) pp. 1583-1597. 10.1007/s12053-017-9525-4. Green open access

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Abstract

Demand response is receiving increasing interest as a new form of flexibility within low-carbon power systems. Energy models are an important tool to assess the potential capability of demand side contributions. This paper critically reviews the assumptions in current models and introduces a new conceptual framework to better facilitate such an assessment. We propose three dimensions along which change could occur, namely technology, activities and service expectations. Using this framework, the socio-technical assumptions underpinning ‘bottom-up’ activity-based energy demand models are identified and a number of shortcomings are discussed. First, links between appliance usage and activities are not evidence-based. We propose new data collection approaches to address this gap. Second, aside from thermal comfort, service expectations, which can be an important source of flexibility, are under-represented and their inclusion into demand models would improve their predicative power in this area. Finally, flexibility can be present over a range of time scales, from immediate responses, to longer term trends. Longitudinal time use data from participants in demand response schemes may be able to illuminate these. The recommendations of this paper seek to enhance the current state-of-the-art in activity-based models and to provide useful tools for the assessment of demand response.

Type: Article
Title: Simulating residential demand response: Improving socio-technical assumptions in activity-based models of energy demand
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s12053-017-9525-4
Publisher version: http://doi.org/10.1007/s12053-017-9525-4
Language: English
Additional information: Copyright © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Keywords: Demand response, Bottom-up, Simulation, Energy Demand Domestic Residential Service expectation Activity Time use Appliance Electricity
UCL classification: UCL
UCL > Provost and Vice Provost Offices
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.ucl.ac.uk/id/eprint/10044085
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