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@article{Acha:2022:10.1016/j.enbuild.2022.112301,
author = {Acha, Izquierdo S and vieira, G and Bird, M and Shah, N},
doi = {10.1016/j.enbuild.2022.112301},
journal = {Energy and Buildings},
pages = {1--15},
title = {Modelling UK electricity regional costs for commercial buildings},
url = {http://dx.doi.org/10.1016/j.enbuild.2022.112301},
volume = {271},
year = {2022}
}
TY - JOUR
AB - 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.
AU - Acha,Izquierdo S
AU - vieira,G
AU - Bird,M
AU - Shah,N
DO - 10.1016/j.enbuild.2022.112301
EP - 15
PY - 2022///
SN - 0378-7788
SP - 1
TI - Modelling UK electricity regional costs for commercial buildings
T2 - Energy and Buildings
UR - http://dx.doi.org/10.1016/j.enbuild.2022.112301
UR - https://www.sciencedirect.com/science/article/pii/S0378778822004728?via%3Dihub
VL - 271
ER -