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Life cycle optimisation of building retrofitting considering climate change effects

Luo, X. J.; Oyedele, Lukumon O.

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Authors

Xiaojun Luo Xiaojun.Luo@uwe.ac.uk
Senior Lecturer in Financial Technology

Lukumon Oyedele L.Oyedele@uwe.ac.uk
Professor in Enterprise & Project Management



Abstract

Novelty: Climate change has significant impacts on building energy performance. A novel life cycle optimisation strategy is developed for determining optimal retrofitting solutions for office buildings with climate change effects taken into consideration. The first innovation is that a hybrid genetic algorithm and artificial neural network model is developed to estimate future heating and electrical energy demands. The second innovation is that performance of integrated retrofitting measures under climate change conditions is evaluated. The third innovation is that life cycle cost optimisation is conducted using future weather profiles, while the energy usage and carbon footprint of the retrofitted building over its whole life span is evaluated. Methodology: The proposed life cycle optimisation strategy is implemented on two campus buildings in Bristol, the United Kingdom. The historical weather profile and energy consumption data during the past two years is collected to develop and train the hybrid energy prediction model. The future weather profile, including air temperature, relative humidity, precipitation rate, solar radiation, wind speed and cloud percentage, is projected using the HadCM3 model. The collective performance of various passive, active and renewables retrofitting options is investigated. Major results and future application: It is found that there exists a distinct discrepancy between optimal retrofitting solutions determined using the current and future weather conditions. Moreover, there would be at most 4.7% over-estimation or 54.7% under-estimation of lifetime cost, energy and carbon if the selected optimal retrofitting solution from current weather conditions is adopted under climate change conditions. Therefore, the proposed framework can provide a meaningful guideline in determining appropriate retrofitting solutions and supporting energy efficiency policies to achieve net-zero by 2050.

Citation

Luo, X. J., & Oyedele, L. O. (2022). Life cycle optimisation of building retrofitting considering climate change effects. Energy and Buildings, 258, 111830. https://doi.org/10.1016/j.enbuild.2022.111830

Journal Article Type Article
Acceptance Date Jan 2, 2022
Online Publication Date Jan 22, 2022
Publication Date Mar 1, 2022
Deposit Date Jan 30, 2022
Publicly Available Date Mar 29, 2024
Journal Energy and Buildings
Print ISSN 0378-7788
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 258
Pages 111830
DOI https://doi.org/10.1016/j.enbuild.2022.111830
Keywords Electrical and Electronic Engineering; Mechanical Engineering; Building and Construction; Civil and Structural Engineering
Public URL https://uwe-repository.worktribe.com/output/8704240
Additional Information This article is maintained by: Elsevier; Article Title: Life cycle optimisation of building retrofitting considering climate change effects; Journal Title: Energy and Buildings; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.enbuild.2022.111830; Content Type: article; Copyright: © 2022 Elsevier B.V. All rights reserved.

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