Demand response in buildings: Unlocking energy flexibility through district-level electro-thermal simulation

Amin, Amin ORCID: https://orcid.org/0000-0002-6891-5640, Kem, Oudom, Gallegos, Pablo, Chervet, Philipp, Ksontini, Feirouz and Mourshed, Monjur ORCID: https://orcid.org/0000-0001-8347-1366 2022. Demand response in buildings: Unlocking energy flexibility through district-level electro-thermal simulation. Applied Energy 305 , 117836. 10.1016/j.apenergy.2021.117836

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Abstract

European Union households account for 26% of the final energy consumption, yet their participation in demand response (DR) schemes is virtually non-existent. Relatively small amounts of flexibility primarily from appliances and the lack of DR-enabled energy management solutions in homes have been identified as the main barriers. As part of a Horizon 2020 funded collaborative research and development project, we developed a cloud-based framework for intelligent optimisation of electricity consumption and generation in buildings to upscale and enhance their demand response effectiveness at a district level. Through electro-thermal simulations that unlock building flexibility while considering low-voltage grid constraints, our approach aims to extend technical and economic potential of the whole solution for wider replication at a low computational cost. The framework simultaneously schedules the operation of controllable appliances such as dishwashers, washing machines and dryers in buildings to further reduce peak loads and energy costs of the district. The framework was tested in a real UK district comprising 66 dwellings, which demonstrated its effectiveness in minimising electricity peak loads and costs by prioritising local consumption of the electricity produced from photovoltaics and exploiting the asymmetry on the time-varying electricity tariff. The results show the ability to achieve an average 30% reduction in energy costs for the district while adhering to low-voltage grid constraints.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Advanced Research Computing @ Cardiff (ARCCA) Engineering
Publisher:	Elsevier
ISSN:	0306-2619
Date of First Compliant Deposit:	10 September 2021
Date of Acceptance:	6 September 2021
Last Modified:	11 Jun 2024 16:12
URI:	https://orca.cardiff.ac.uk/id/eprint/144036

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