Modelling UK electricity regional costs for commercial buildings
File(s)
Published version
Author(s)
Acha Izquierdo, Salvador
vieira, Guilherme
Bird, max
Shah, nilay
Type
Journal Article
Abstract
Motivated by rising electricity prices UK non-domestic consumers are being required to develop smart energy management practices. However, most of these consumers lack awareness of the spatial-temporal dynamics of electricity prices and their tariff components. To help overcome these barriers and contribute to energy prices digitalisation, this paper presents a Modelling UK Electricity Regional Costs (MUKERC) framework. A bottom-up methodology that defines all the tariff components and then aggregates them to quantify the cost of a kWh across each half-hour of the day. The framework not only facilitates understanding which tariffs components have a higher impact during different time periods but also depicts how they vary spatially across regions. This model was used to estimate and analyse the evolution of electricity costs from 2017 to 2024. Case studies from buildings in the education sector are showcased depicting their energy costs derived from their load profiles. Results show that the London area has the lowest average prices, while the Northern Wales & Merseyside is the most expensive. From the case studies conducted, peak period charges account for 17% of annual electricity costs (occurring between 4 to 7 p.m.). Winter period charges represented about 53% of the charges. The MUKERC framework showcases the valuable insights data-driven costing models offer as it allows to understand the dynamics of electricity charges and identifies “when” and “where” the cost of electricity is more expensive; thus, supporting the development of bespoke cost-effective energy measures that improve resource efficiency and smart energy management initiatives.
Date Issued
2022-09-15
Date Acceptance
2022-07-05
Citation
Energy and Buildings, 2022, 271, pp.1-15
ISSN
0378-7788
Publisher
Elsevier
Start Page
1
End Page
15
Journal / Book Title
Energy and Buildings
Volume
271
Copyright Statement
© 2022 The Author(s). Published by Elsevier B.V. The Pre-Proof version is available open access under a CC-BY Licence (https://creativecommons.org/licenses/by/4.0/)
License URL
Sponsor
Sainsbury's Supermarkets Ltd
Identifier
https://www.sciencedirect.com/science/article/pii/S0378778822004728?via%3Dihub
Grant Number
CEPSE_P85487
Subjects
Building & Construction
09 Engineering
12 Built Environment and Design
Publication Status
Published
Date Publish Online
2022-07-09