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Review and Decision-Making Tree for Methods to Balance Indoor Environmental Comfort and Energy Conservation During Building Operation

Author

Listed:
  • Shan Lin

    (Guangzhou Metro Design & Research Institute Co., Ltd., Guangzhou 510010, China)

  • Yu Zhang

    (School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough LE11 3TU, UK)

  • Xuanjiang Chen

    (Guangzhou Metro Design & Research Institute Co., Ltd., Guangzhou 510010, China)

  • Chengzhi Pan

    (Guangzhou Metro Design & Research Institute Co., Ltd., Guangzhou 510010, China)

  • Xianjun Dong

    (Nanbo Risheng New Energy Technology Co., Ltd., Delingha 817000, China)

  • Xiang Xie

    (School of Engineering, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK)

  • Long Chen

    (School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough LE11 3TU, UK)

Abstract

Effective building operation requires a careful balance between energy conservation and indoor environmental comfort. Although numerous methods have been developed to reduce energy consumption during the operational phase, their objectives and applications vary widely. However, the complexity of building energy management makes it challenging to identify the most suitable methods that simultaneously achieve both comfort and efficiency goals. Existing studies often lack a systematic framework that supports integrated decision-making under comfort constraints. This research aims to address this gap by proposing a decision-making tree for selecting energy conservation methods during building operation with an explicit consideration of indoor environmental comfort. A comprehensive literature review is conducted to identify four main energy-consuming components during building operation: the building envelope, HVAC systems, lighting systems, and plug loads and appliances. Three key comfort indicators—thermal comfort, lighting comfort, and air quality comfort—are defined, and energy conservation methods are categorized into three strategic groups: passive strategies, control optimization strategies, and behavioural intervention strategies. Each method is assessed using a defined set of evaluation criteria. Subsequently, a questionnaire survey is administered for the calibration of the decision tree, incorporating stakeholder preferences and expert judgement. The findings contribute to the advancement of understanding regarding the co-optimization of energy conservation and occupant comfort in building operations.

Suggested Citation

  • Shan Lin & Yu Zhang & Xuanjiang Chen & Chengzhi Pan & Xianjun Dong & Xiang Xie & Long Chen, 2025. "Review and Decision-Making Tree for Methods to Balance Indoor Environmental Comfort and Energy Conservation During Building Operation," Sustainability, MDPI, vol. 17(15), pages 1-25, August.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:15:p:7016-:d:1716005
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    References listed on IDEAS

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    1. Yushi Wang & Beining Hu & Xianhai Meng & Runjin Xiao, 2024. "A Comprehensive Review on Technologies for Achieving Zero-Energy Buildings," Sustainability, MDPI, vol. 16(24), pages 1-26, December.
    2. Yang, Zheng & Ghahramani, Ali & Becerik-Gerber, Burcin, 2016. "Building occupancy diversity and HVAC (heating, ventilation, and air conditioning) system energy efficiency," Energy, Elsevier, vol. 109(C), pages 641-649.
    3. Zhang, Sheng & Ai, Zhengtao & Lin, Zhang, 2021. "Novel demand-controlled optimization of constant-air-volume mechanical ventilation for indoor air quality, durability and energy saving," Applied Energy, Elsevier, vol. 293(C).
    4. Kong, Xiangfei & Xi, Chang & Li, Han & Lin, Zhang, 2020. "Multi-parameter performance optimization for whole year operation of stratum ventilation in offices," Applied Energy, Elsevier, vol. 268(C).
    5. João Tabanêz Patrício & Rui Amaral Lopes & Naim Majdalani & Daniel Aelenei & João Martins, 2023. "Aggregated Use of Energy Flexibility in Office Buildings," Energies, MDPI, vol. 16(2), pages 1-17, January.
    6. Niza, Iasmin Lourenço & Cordeiro Gomes, Gabriel Costa & Broday, Evandro Eduardo, 2024. "Indoor environmental quality models: A bibliometric, mapping and clustering review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 203(C).
    7. Saidur, R., 2009. "Energy consumption, energy savings, and emission analysis in Malaysian office buildings," Energy Policy, Elsevier, vol. 37(10), pages 4104-4113, October.
    8. Halhoul Merabet, Ghezlane & Essaaidi, Mohamed & Ben Haddou, Mohamed & Qolomany, Basheer & Qadir, Junaid & Anan, Muhammad & Al-Fuqaha, Ala & Abid, Mohamed Riduan & Benhaddou, Driss, 2021. "Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    9. Zhao, Dafang & Watari, Daichi & Ozawa, Yuki & Taniguchi, Ittetsu & Suzuki, Toshihiro & Shimoda, Yoshiyuki & Onoye, Takao, 2023. "Data-driven online energy management framework for HVAC systems: An experimental study," Applied Energy, Elsevier, vol. 352(C).
    10. Fang, Zigeng & Yan, Jiayi & Lu, Qiuchen & Chen, Long & Yang, Pu & Tang, Junqing & Jiang, Feng & Broyd, Tim & Hong, Jingke, 2023. "A systematic literature review of carbon footprint decision-making approaches for infrastructure and building projects," Applied Energy, Elsevier, vol. 335(C).
    11. Kyung-Yong Park & Deok-Oh Woo & Seung-Bok Leigh & Lars Junghans, 2022. "Impact of Hybrid Ventilation Strategies in Energy Savings of Buildings: In Regard to Mixed-Humid Climate Regions," Energies, MDPI, vol. 15(6), pages 1-20, March.
    12. Jørgen Rose & Kirsten Engelund Thomsen & Ole Balslev-Olesen, 2022. "The Balance between Energy Efficiency and Renewable Energy for District Renovations in Denmark," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    13. Lei Tang & Zhengtao Ai & Chunyan Song & Guoqiang Zhang & Zhengxuan Liu, 2021. "A Strategy to Maximally Utilize Outdoor Air for Indoor Thermal Environment," Energies, MDPI, vol. 14(13), pages 1-13, July.
    14. Jahangir Hossain & Aida. F. A. Kadir & Ainain. N. Hanafi & Hussain Shareef & Tamer Khatib & Kyairul. A. Baharin & Mohamad. F. Sulaima, 2023. "A Review on Optimal Energy Management in Commercial Buildings," Energies, MDPI, vol. 16(4), pages 1-40, February.
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