IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i3p2804-d1057069.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/3/2804/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/3/2804/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    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. 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.
    5. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wan, Taocheng & Bai, Yan & Wang, Tingxiang & Wei, Zhuo, 2022. "BPNN-based optimal strategy for dynamic energy optimization with providing proper thermal comfort under the different outdoor air temperatures," Applied Energy, Elsevier, vol. 313(C).
    2. Zhang, Sheng & Cheng, Yong & Liu, Jian & Lin, Zhang, 2019. "Subzone control optimization of air distribution for thermal comfort and energy efficiency under cooling load uncertainty," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    3. Feng, Zongbao & Wu, Xianguo & Chen, Hongyu & Qin, Yawei & Zhang, Limao & Skibniewski, Miroslaw J., 2022. "An energy performance contracting parameter optimization method based on the response surface method: A case study of a metro in China," Energy, Elsevier, vol. 248(C).
    4. 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.
    5. Li, Yang & Wang, Bin & Yang, Zhen & Li, Jiazheng & Chen, Chen, 2022. "Hierarchical stochastic scheduling of multi-community integrated energy systems in uncertain environments via Stackelberg game," Applied Energy, Elsevier, vol. 308(C).
    6. Adnan Veysel Ertemel & Akin Menekse & Hatice Camgoz Akdag, 2023. "Smartphone Addiction Assessment Using Pythagorean Fuzzy CRITIC-TOPSIS," Sustainability, MDPI, vol. 15(5), pages 1-19, February.
    7. Yanhui Mao & Shengxu Wang & Jianzhou Liang & Saiqin Mao & Yukun Han & Shengquan Zhang, 2022. "Stratum Ventilation: Enabling Simultaneous Energy Conservation and Air Purification in Subway Cars," IJERPH, MDPI, vol. 19(21), pages 1-16, November.
    8. Lu, Yuehong & Zhang, Xiao-Ping & Huang, Zhijia & Lu, Jinli & Wang, Dong, 2019. "Impact of introducing penalty-cost on optimal design of renewable energy systems for net zero energy buildings," Applied Energy, Elsevier, vol. 235(C), pages 106-116.
    9. Zhou, Yuekuan & Zheng, Siqian & Zhang, Guoqiang, 2020. "Machine-learning based study on the on-site renewable electrical performance of an optimal hybrid PCMs integrated renewable system with high-level parameters’ uncertainties," Renewable Energy, Elsevier, vol. 151(C), pages 403-418.
    10. R. Krishankumar & P. P. Amritha & K. S. Ravichandran, 2022. "RETRACTED ARTICLE: An integrated fuzzy decision model for prioritization of barriers affecting sustainability adoption within supply chains under unknown weight context," Operations Management Research, Springer, vol. 15(3), pages 1010-1027, December.
    11. Mengmeng Shi & Xin Tian & Xiaowen Li & Binghong Pan, 2023. "The Impact of Parallel U-Turns on Urban Intersection: Evidence from Chinese Cities," Sustainability, MDPI, vol. 15(19), pages 1-23, September.
    12. Chi, Fang'ai & Pan, Jiajie & Liu, Yang & Guo, Yuang, 2021. "Improvement of thermal comfort by hydraulic-driven ventilation device and space partition arrangement towards building energy saving," Applied Energy, Elsevier, vol. 299(C).
    13. Li, Qing & Zhang, Lianying & Zhang, Limao & Wu, Xianguo, 2021. "Optimizing energy efficiency and thermal comfort in building green retrofit," Energy, Elsevier, vol. 237(C).
    14. 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).
    15. Zhang, Sheng & Lu, Yalin & Niu, Dun & Lin, Zhang, 2022. "Energy performance index of air distribution: Thermal utilization effectiveness," Applied Energy, Elsevier, vol. 307(C).
    16. Zhang, Sheng & Cheng, Yong & Oladokun, Majeed Olaide & Huan, Chao & Lin, Zhang, 2019. "Heat removal efficiency of stratum ventilation for air-side modulation," Applied Energy, Elsevier, vol. 238(C), pages 1237-1249.
    17. Yulong Pei & Xiaoxi Cai & Jie Li & Keke Song & Rui Liu, 2021. "Method for Identifying the Traffic Congestion Situation of the Main Road in Cold-Climate Cities Based on the Clustering Analysis Algorithm," Sustainability, MDPI, vol. 13(17), pages 1-31, August.
    18. Zhang, Jiyuan & Tang, Hailong & Chen, Min, 2019. "Linear substitute model-based uncertainty analysis of complicated non-linear energy system performance (case study of an adaptive cycle engine)," Applied Energy, Elsevier, vol. 249(C), pages 87-108.
    19. Yuehong Lu & Mohammed Alghassab & Manuel S. Alvarez-Alvarado & Hasan Gunduz & Zafar A. Khan & Muhammad Imran, 2020. "Optimal Distribution of Renewable Energy Systems Considering Aging and Long-Term Weather Effect in Net-Zero Energy Building Design," Sustainability, MDPI, vol. 12(14), pages 1-20, July.
    20. Yang Zhang & Yuehong Lu & Changlong Wang & Zhijia Huang & Tao Lv, 2021. "Reward–Penalty Mechanism Based on Daily Energy Consumption for Net-Zero Energy Buildings," Sustainability, MDPI, vol. 13(22), pages 1-18, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2804-:d:1057069. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.