Multi-Objective Optimization of Building Energy Consumption: A Case Study of Temporary Buildings on Construction Sites

Guo, Xiaohui; Wang, Yuanfeng; Liu, Yinshan; Fan, Lei; Xue, Shaoqin; Shi, Chengcheng; Pan, Lei; Zhang, Boqun; Wang, Liping; Chang, Xinlei

doi:10.3390/buildings15030420

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Open AccessArticle

Multi-Objective Optimization of Building Energy Consumption: A Case Study of Temporary Buildings on Construction Sites

by

Xiaohui Guo

¹,

Yuanfeng Wang

^1,*,

Yinshan Liu

²,

Lei Fan

³,

Shaoqin Xue

¹,

Chengcheng Shi

⁴,

Lei Pan

¹,

Boqun Zhang

¹,

Liping Wang

¹ and

Xinlei Chang

¹

School of Civil Engineering, Beijing Jiaotong University, Beijing 100091, China

²

Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China

³

School of Economics and Management & Office of International Affairs, Beijing Jiaotong University, Beijing 100044, China

⁴

School of Management, Tianjin University of Commerce, Tianjin 300134, China

^*

Author to whom correspondence should be addressed.

Buildings 2025, 15(3), 420; https://doi.org/10.3390/buildings15030420

Submission received: 30 November 2024 / Revised: 14 January 2025 / Accepted: 24 January 2025 / Published: 28 January 2025

(This article belongs to the Section Building Energy, Physics, Environment, and Systems)

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Abstract

Building energy consumption management significantly impacts energy efficiency, environmental effects, and economic benefits throughout a building’s life cycle. Optimizing building energy consumption has become a great challenge in the field of green buildings. This paper proposes an automated simulation method that integrates the EnergyPlus energy consumption simulation tool with Python scripting. This approach efficiently generates large volumes of energy consumption data and supports the development of machine learning surrogate models, thereby enhancing simulation efficiency and reducing computational costs. Based on this foundation, the multi-objective optimization algorithm NSGA-III is introduced to achieve a balanced optimization of three primary objectives: building energy consumption, photovoltaic electricity generation, and thermal comfort. Through a systematic analysis of a case study involving an office building and dormitory at a construction site in China, the effects of building envelope, air conditioning systems, and occupant behavior on energy consumption are examined. The optimization results indicate that energy consumption is reduced by 41% for the office building and 38% for the dormitory. Additionally, photovoltaic electricity generation increases by 176% and 169% compared to the baseline model, while thermal comfort improves by 19% and 6%, respectively. These improvements significantly enhance energy self-sufficiency and residential comfort.

Keywords: building energy consumption; photovoltaics; thermal comfort; surrogate models; multi-objective optimization; building design

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MDPI and ACS Style

Guo, X.; Wang, Y.; Liu, Y.; Fan, L.; Xue, S.; Shi, C.; Pan, L.; Zhang, B.; Wang, L.; Chang, X. Multi-Objective Optimization of Building Energy Consumption: A Case Study of Temporary Buildings on Construction Sites. Buildings 2025, 15, 420. https://doi.org/10.3390/buildings15030420

AMA Style

Guo X, Wang Y, Liu Y, Fan L, Xue S, Shi C, Pan L, Zhang B, Wang L, Chang X. Multi-Objective Optimization of Building Energy Consumption: A Case Study of Temporary Buildings on Construction Sites. Buildings. 2025; 15(3):420. https://doi.org/10.3390/buildings15030420

Chicago/Turabian Style

Guo, Xiaohui, Yuanfeng Wang, Yinshan Liu, Lei Fan, Shaoqin Xue, Chengcheng Shi, Lei Pan, Boqun Zhang, Liping Wang, and Xinlei Chang. 2025. "Multi-Objective Optimization of Building Energy Consumption: A Case Study of Temporary Buildings on Construction Sites" Buildings 15, no. 3: 420. https://doi.org/10.3390/buildings15030420

APA Style

Guo, X., Wang, Y., Liu, Y., Fan, L., Xue, S., Shi, C., Pan, L., Zhang, B., Wang, L., & Chang, X. (2025). Multi-Objective Optimization of Building Energy Consumption: A Case Study of Temporary Buildings on Construction Sites. Buildings, 15(3), 420. https://doi.org/10.3390/buildings15030420

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

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Multi-Objective Optimization of Building Energy Consumption: A Case Study of Temporary Buildings on Construction Sites

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