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A Novel Generalised Model for Residential Energy Management System

Peter Jean-Paul * , Tek Tjing Lie , Timothy N. Anderson and Brice Vallès
School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, 31 Symonds Street, Auckland CBD, Auckland 1010, New Zealand
*
For correspondence.
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Highlights Sustain. 2022, 1(3), 134–158.
Received: 25 April 2022    Accepted: 5 July 2022    Published: 11 July 2022
This article is part of the Special Issue Energy Efficiency and Renewable Energy.
Abstract
Disaggregated data is often used to model the cost-benefit of residential energy management systems. However, obtaining such data is time-intensive and monetarily expensive. This hinders the depth of analysis that can be done on these systems and negatively influences their large-scale uptake. This study proposes a novel generalised model of these systems that uses smart meter load profile data to model their cost-benefit. Using two years of half-hourly electricity consumption data from 5379 households in London, the model was used to examine how sociodemographic, tariff structures, and the choice of operational objectives of these systems, interact to influence their cost-benefit. The results showed that the proposed model produced reliable cost-benefit results within what is normally obtained in literature. The model demonstrated that applying one set of objectives to different customers leads to an inequitable distribution in benefits; rather, an optimal set of objectives for a given customer under a specific tariff structure can be found to produce a more equitable distribution in benefits across all customers. The proposed model is replicable and uses data that can be obtained easily and cheaply from smart meters, making it versatile for large-scale cost-benefit analysis by any electricity retailer.
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Copyright © 2022 Jean-Paul et al. This article is distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use and distribution provided that the original work is properly cited.
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ACS Style
Jean-Paul, P.; Lie, T.T.; Anderson, T.N.; Vallès, B. A Novel Generalised Model for Residential Energy Management System. Highlights Sustain. 2022, 1, 134–158. https://doi.org/10.54175/hsustain1030011
APA Style
Jean-Paul, P., Lie, T. T., Anderson, T. N., & Vallès, B. (2022). A Novel Generalised Model for Residential Energy Management System. Highlights of Sustainability, 1(3), 134–158. https://doi.org/10.54175/hsustain1030011
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