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A Combinatorial Optimization Strategy for Performance Improvement of Stratum Ventilation Considering Outdoor Weather Changes and Metabolic Rate Differences: Energy Consumption and Sensitivity Analysis

Author

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  • Yan Bai

    (School of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
    School of Science, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Zhuo Wei

    (School of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China)

Abstract

Since occupants spend most of their time indoors, an energy-saving and comfortable indoor environment are particularly important. The differences in the metabolic rate of occupants make them have different requirements for their thermal environment. To save energy under the comprehensive needs of occupants for thermal environment, the combinatorial optimization strategy based on NSGA-II and improved the TOPSIS method is proposed in this study. Firstly, the physical model of the CFD simulation is verified by experiments. Secondly, the specific operation cases corresponding to combinations of different levels of factors are determined via the RSM method, and the ventilation performance prediction model considering the metabolic rate differences and outdoor weather changes is established. Thirdly, supply air velocities and temperatures are optimized by using Pareto-based NSGA-II; the Pareto optimal solution set under different outdoor temperatures is obtained. Finally, based on the Pareto optimal solutions at different outdoor temperatures, the optimal strategy under dynamic outdoor air temperature is obtained by improved TOPSIS by the CRITIC method. The optimization of ventilation parameters significantly improved the ventilation performance, and the results show that the predicted mean vote, energy consumption, vertical air temperature difference between head and ankle levels and the local mean age of air for different metabolic rates decrease by 64.1%, 4.74%, 24.83% and 7.39% on average, respectively. Moreover, the relative energy saving rate increases as the metabolic rate increases, and the strategy facilitates adaptation to outdoor weather changes and meets the individual needs of occupants for the indoor environment. This has important implications for achieving the global goal of energy efficiency and emission reduction.

Suggested Citation

  • Yan Bai & Zhuo Wei, 2023. "A Combinatorial Optimization Strategy for Performance Improvement of Stratum Ventilation Considering Outdoor Weather Changes and Metabolic Rate Differences: Energy Consumption and Sensitivity Analysis," Sustainability, MDPI, vol. 15(3), pages 1-22, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2804-:d:1057069
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    References listed on IDEAS

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    1. Zhang, Sheng & Sun, Yongjun & Cheng, Yong & Huang, Pei & Oladokun, Majeed Olaide & Lin, Zhang, 2018. "Response-surface-model-based system sizing for Nearly/Net zero energy buildings under uncertainty," Applied Energy, Elsevier, vol. 228(C), pages 1020-1031.
    2. Mao, Ning & Hao, Jingyu & He, Tianbiao & Song, Mengjie & Xu, Yingjie & Deng, Shiming, 2019. "PMV-based dynamic optimization of energy consumption for a residential task/ambient air conditioning system in different climate zones," Renewable Energy, Elsevier, vol. 142(C), pages 41-54.
    3. Binghong Pan & Shangru Liu & Zhenjiang Xie & Yang Shao & Xiang Li & Ruicheng Ge, 2021. "Evaluating Operational Features of Three Unconventional Intersections under Heavy Traffic Based on CRITIC Method," Sustainability, MDPI, vol. 13(8), pages 1-30, April.
    4. Lina Zhang & Yanhui Mao & Qiu Tu & Xiaogang Wu & Lingyu Tan, 2021. "Effects of Supply Parameters of Stratum Ventilation on Energy Utilization Efficiency and Indoor Thermal Comfort: A Computational Approach," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-16, April.
    5. Zhang, Sheng & Lin, Zhang & Ai, Zhengtao & Huan, Chao & Cheng, Yong & Wang, Fenghao, 2019. "Multi-criteria performance optimization for operation of stratum ventilation under heating mode," Applied Energy, Elsevier, vol. 239(C), pages 969-980.
    6. Faizan Ahmed & Mohd Sharizal Abdul Aziz & Mohd Remy Rozainy Mohd Arif Zainol & Khor Chu Yee & Feroz Shaik & Dewi Suriyani Che Halin & Mohd Arif Anuar Mohd Salleh & Marwan Kheimi, 2022. "Design, Modelling and Optimization of a Novel Concentrated Solar Powered (CSP) Flash Desalination System Involving Direct Heating and Pressure Modulation Using Response Surface Methodology (RSM)," Sustainability, MDPI, vol. 14(18), pages 1-14, September.
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