Optimizing energy efficiency and thermal comfort in building green retrofit

Building green retrofit offers significant opportunities for enhancing energy efficiency and achieving green development goals. However, a conflicting criterion exists between energy conservation and thermal comfort improvement when making optimal design solutions for building retrofit. This study p...

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Main Authors: Li, Qing, Zhang, Lianying, Zhang, Limao, Wu, Xianguo
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/160341
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1603412022-07-19T07:44:36Z Optimizing energy efficiency and thermal comfort in building green retrofit Li, Qing Zhang, Lianying Zhang, Limao Wu, Xianguo School of Civil and Environmental Engineering Engineering::Civil engineering Building Green Retrofit Multi-Objective Optimization Building green retrofit offers significant opportunities for enhancing energy efficiency and achieving green development goals. However, a conflicting criterion exists between energy conservation and thermal comfort improvement when making optimal design solutions for building retrofit. This study presents a simulation-based energy-comfort optimization model to facilitate evaluating various design alternatives and balancing multiple objectives in building green retrofit. A building simulation model is first established to measure energy consumption and comfort level. Then, a multi-objective optimization method (response surface method) is employed to identify critical building parameters and generates a set of alternative plans for building retrofit based on green building standards. After that, optimal design solutions with trade-offs between thermal comfort and energy demand are obtained. A school building in Wuhan city of China is chosen as a case to validate the developed model, and ten building parameters pertaining to energy demand and environmental comfort are considered in the optimization process. The results show that four parameters are significantly sensitive to energy efficiency and thermal comfort, including insulation thickness of the external wall, the heat transmission coefficient of the roof, solar heat gain coefficient of the external window, and window to wall ratio. The optimal combination of four parameters approximately produces 4 % of energy savings, as well as an improving level of environmental comfort. The study benefits designers and construction managers to determine optimal solutions for building retrofit to achieve better energy efficiency and comfort in green building development. This research is supported by the National Natural Science Foundation of China (No. 71872126) and the China Scholarship Council Project (No. 201906250048). 2022-07-19T07:44:36Z 2022-07-19T07:44:36Z 2021 Journal Article Li, Q., Zhang, L., Zhang, L. & Wu, X. (2021). Optimizing energy efficiency and thermal comfort in building green retrofit. Energy, 237, 121509-. https://dx.doi.org/10.1016/j.energy.2021.121509 0360-5442 https://hdl.handle.net/10356/160341 10.1016/j.energy.2021.121509 2-s2.0-85111272513 237 121509 en Energy © 2021 Elsevier Ltd. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Civil engineering
Building Green Retrofit
Multi-Objective Optimization
spellingShingle Engineering::Civil engineering
Building Green Retrofit
Multi-Objective Optimization
Li, Qing
Zhang, Lianying
Zhang, Limao
Wu, Xianguo
Optimizing energy efficiency and thermal comfort in building green retrofit
description Building green retrofit offers significant opportunities for enhancing energy efficiency and achieving green development goals. However, a conflicting criterion exists between energy conservation and thermal comfort improvement when making optimal design solutions for building retrofit. This study presents a simulation-based energy-comfort optimization model to facilitate evaluating various design alternatives and balancing multiple objectives in building green retrofit. A building simulation model is first established to measure energy consumption and comfort level. Then, a multi-objective optimization method (response surface method) is employed to identify critical building parameters and generates a set of alternative plans for building retrofit based on green building standards. After that, optimal design solutions with trade-offs between thermal comfort and energy demand are obtained. A school building in Wuhan city of China is chosen as a case to validate the developed model, and ten building parameters pertaining to energy demand and environmental comfort are considered in the optimization process. The results show that four parameters are significantly sensitive to energy efficiency and thermal comfort, including insulation thickness of the external wall, the heat transmission coefficient of the roof, solar heat gain coefficient of the external window, and window to wall ratio. The optimal combination of four parameters approximately produces 4 % of energy savings, as well as an improving level of environmental comfort. The study benefits designers and construction managers to determine optimal solutions for building retrofit to achieve better energy efficiency and comfort in green building development.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Li, Qing
Zhang, Lianying
Zhang, Limao
Wu, Xianguo
format Article
author Li, Qing
Zhang, Lianying
Zhang, Limao
Wu, Xianguo
author_sort Li, Qing
title Optimizing energy efficiency and thermal comfort in building green retrofit
title_short Optimizing energy efficiency and thermal comfort in building green retrofit
title_full Optimizing energy efficiency and thermal comfort in building green retrofit
title_fullStr Optimizing energy efficiency and thermal comfort in building green retrofit
title_full_unstemmed Optimizing energy efficiency and thermal comfort in building green retrofit
title_sort optimizing energy efficiency and thermal comfort in building green retrofit
publishDate 2022
url https://hdl.handle.net/10356/160341
_version_ 1739837414030966784