IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i16p12480-d1218728.html
   My bibliography  Save this article

Simulation Study on Outdoor Wind Environment of Residential Complexes in Hot-Summer and Cold-Winter Climate Zones Based on Entropy-Based TOPSIS Method

Author

Listed:
  • Xiang Liu

    (School of Architecture and Engineering, Xinjiang University, Urumqi 830047, China)

  • Wanjiang Wang

    (School of Architecture and Engineering, Xinjiang University, Urumqi 830047, China)

  • Zixuan Wang

    (School of Architecture and Engineering, Xinjiang University, Urumqi 830047, China)

  • Junkang Song

    (School of Architecture and Engineering, Xinjiang University, Urumqi 830047, China)

  • Ke Li

    (School of Architecture and Engineering, Xinjiang University, Urumqi 830047, China)

Abstract

Driven by a large digital simulation environment, CFD calculation software is used to simulate test results so that they can be effectively applied to engineering practice. This paper explores the suitable outdoor wind environment for residential areas in the hot summer and the cold winter. Taking Xishan Huijing in Changsha as an example, the most unfavorable wind field environment is used as the boundary condition, and the optimal design mode for this residential area is explored based on the Butterfly platform. The research in this paper is mainly divided into five steps: (1) using Rhino 7.0 to establish a 3D model; (2) using the Butterfly 0.0.05 platform to simulate the wind field and export the data at the same time, and to realize the preview through the visualization method; (3) processing the exported simulation data and the calculation of related indices; (4) applying the entropy-based TOPSIS method on the MATLAB 2020 platform to rank the preferred scheme and obtain the corresponding index weights; and (5) using a K-means cluster analysis on SPSS 26 software to optimize the scheme. The results show that (1) the wind environment quality will be overestimated in the summer if the influence of neighboring buildings on the site is not considered, while the opposite is true in the winter, with the error of both reaching two times. (2) The weights of the indicators determined by the TOPSIS entropy weighting method indicate that wind protection in the winter should be prioritized over natural ventilation in the summer in this area. The maximum wind speed in the winter has the most significant weight, reaching 0.287, and the uniformity of the wind field in the summer is the most important, reaching 0.1102. (3) In the layout design of the residential district, the staggered layout of the 60 m high slab houses in the northern, northeastern, and northwestern directions of the site creates a better wind field environment, which attains the highest score by the TOPSIS entropy weighting method, reaching 0.1539, with the second highest score, reaching 0.1511, for the layout method. The research results will provide a scientific basis for the design of residential buildings in the hot-summer and cold-winter regions in China, and also help designers to better grasp the outdoor wind environment of residential buildings in the pre-design stage.

Suggested Citation

  • Xiang Liu & Wanjiang Wang & Zixuan Wang & Junkang Song & Ke Li, 2023. "Simulation Study on Outdoor Wind Environment of Residential Complexes in Hot-Summer and Cold-Winter Climate Zones Based on Entropy-Based TOPSIS Method," Sustainability, MDPI, vol. 15(16), pages 1-28, August.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12480-:d:1218728
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/16/12480/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/16/12480/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gao, Yafeng & Yao, Runming & Li, Baizhan & Turkbeyler, Erdal & Luo, Qing & Short, Alan, 2012. "Field studies on the effect of built forms on urban wind environments," Renewable Energy, Elsevier, vol. 46(C), pages 148-154.
    2. Yingjie Jiang & Changguang Wu & Mingjun Teng, 2020. "Impact of Residential Building Layouts on Microclimate in a High Temperature and High Humidity Region," Sustainability, MDPI, vol. 12(3), pages 1-16, February.
    3. Wang, Endong & Alp, Neslihan & Shi, Jonathan & Wang, Chao & Zhang, Xiaodong & Chen, Hong, 2017. "Multi-criteria building energy performance benchmarking through variable clustering based compromise TOPSIS with objective entropy weighting," Energy, Elsevier, vol. 125(C), pages 197-210.
    4. Haiqiang Liu & Zhihao Zhang & Xidong Ma & Weite Lu & Dongze Li & Shoichi Kojima, 2021. "Optimization Analysis of the Residential Window-to-Wall Ratio Based on Numerical Calculation of Energy Consumption in the Hot-Summer and Cold-Winter Zone of China," Sustainability, MDPI, vol. 13(11), pages 1-24, May.
    5. Ho-Jeong Kim & Jin-Soo Kim, 2018. "Design Methodology for Street-Oriented Block Housing Considering Daylight and Natural Ventilation," Sustainability, MDPI, vol. 10(9), pages 1-22, September.
    6. Xia Wang & Jiachen Yuan & Kairui You & Xianrui Ma & Zhaoji Li, 2023. "Using Real Building Energy Use Data to Explain the Energy Performance Gap of Energy-Efficient Residential Buildings: A Case Study from the Hot Summer and Cold Winter Zone in China," Sustainability, MDPI, vol. 15(2), pages 1-22, January.
    7. Ascione, Fabrizio & De Masi, Rosa Francesca & de Rossi, Filippo & Ruggiero, Silvia & Vanoli, Giuseppe Peter, 2016. "Optimization of building envelope design for nZEBs in Mediterranean climate: Performance analysis of residential case study," Applied Energy, Elsevier, vol. 183(C), pages 938-957.
    8. Hong, Bo & Lin, Borong, 2015. "Numerical studies of the outdoor wind environment and thermal comfort at pedestrian level in housing blocks with different building layout patterns and trees arrangement," Renewable Energy, Elsevier, vol. 73(C), pages 18-27.
    9. Xianfeng Huang & Zhen Lu & Zhixiang Zhuang, 2019. "Analysis of the Wind Environment to Improve the Thermal Comfort in the Colonnade Space of a Qilou Street Based on the Relative Warmth Index," Sustainability, MDPI, vol. 11(16), pages 1-19, August.
    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. Liping Fan & Siwen Ren & Yuan Ma & Qibo Liu, 2023. "The Coupling Relationship between Building Morphology and Outdoor Wind Environment in the High-Rise Dormitory Area in China," Energies, MDPI, vol. 16(9), pages 1-21, April.
    2. Yingjie Jiang & Changguang Wu & Mingjun Teng, 2020. "Impact of Residential Building Layouts on Microclimate in a High Temperature and High Humidity Region," Sustainability, MDPI, vol. 12(3), pages 1-16, February.
    3. Biao Liu & Xian Guo & Jie Jiang, 2023. "How Urban Morphology Relates to the Urban Heat Island Effect: A Multi-Indicator Study," Sustainability, MDPI, vol. 15(14), pages 1-20, July.
    4. Luis Pérez-Domínguez & Luis Alberto Rodríguez-Picón & Alejandro Alvarado-Iniesta & David Luviano Cruz & Zeshui Xu, 2018. "MOORA under Pythagorean Fuzzy Set for Multiple Criteria Decision Making," Complexity, Hindawi, vol. 2018, pages 1-10, April.
    5. Mao, Ning & Pan, Dongmei & Li, Zhao & Xu, Yingjie & Song, Mengjie & Deng, Shiming, 2017. "A numerical study on influences of building envelope heat gain on operating performances of a bed-based task/ambient air conditioning (TAC) system in energy saving and thermal comfort," Applied Energy, Elsevier, vol. 192(C), pages 213-221.
    6. Fernandes, Marco S. & Rodrigues, Eugénio & Gaspar, Adélio Rodrigues & Costa, José J. & Gomes, Álvaro, 2019. "The impact of thermal transmittance variation on building design in the Mediterranean region," Applied Energy, Elsevier, vol. 239(C), pages 581-597.
    7. Ana Mafalda Matos & João M. P. Q. Delgado & Ana Sofia Guimarães, 2022. "Energy-Efficiency Passive Strategies for Mediterranean Climate: An Overview," Energies, MDPI, vol. 15(7), pages 1-20, April.
    8. Zhou, Yuren & Lork, Clement & Li, Wen-Tai & Yuen, Chau & Keow, Yeong Ming, 2019. "Benchmarking air-conditioning energy performance of residential rooms based on regression and clustering techniques," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    9. Facundo Bre & Antonio Caggiano & Eduardus A. B. Koenders, 2022. "Multiobjective Optimization of Cement-Based Panels Enhanced with Microencapsulated Phase Change Materials for Building Energy Applications," Energies, MDPI, vol. 15(14), pages 1-17, July.
    10. Nayara R. M. Sakiyama & Joyce C. Carlo & Leonardo Mazzaferro & Harald Garrecht, 2021. "Building Optimization through a Parametric Design Platform: Using Sensitivity Analysis to Improve a Radial-Based Algorithm Performance," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
    11. Jonathan Roth & Jayashree Chadalawada & Rishee K. Jain & Clayton Miller, 2021. "Uncertainty Matters: Bayesian Probabilistic Forecasting for Residential Smart Meter Prediction, Segmentation, and Behavioral Measurement and Verification," Energies, MDPI, vol. 14(5), pages 1-22, March.
    12. Salim Ferwati & Cynthia Skelhorn & Vivek Shandas & Yasuyo Makido, 2019. "A Comparison of Neighborhood-Scale Interventions to Alleviate Urban Heat in Doha, Qatar," Sustainability, MDPI, vol. 11(3), pages 1-20, January.
    13. Harkouss, Fatima & Fardoun, Farouk & Biwole, Pascal Henry, 2018. "Passive design optimization of low energy buildings in different climates," Energy, Elsevier, vol. 165(PA), pages 591-613.
    14. Hui Chen & Yin Wei & Yaolin Lin & Wei Yang & Xiaoming Chen & Maria Kolokotroni & Xiaohong Liu & Guoqiang Zhang, 2020. "Investigation on the Thermal Condition of a Traditional Cold-Lane in Summer in Subtropical Humid Climate Region of China," Energies, MDPI, vol. 13(24), pages 1-21, December.
    15. Javanroodi, Kavan & Mahdavinejad, Mohammadjavad & Nik, Vahid M., 2018. "Impacts of urban morphology on reducing cooling load and increasing ventilation potential in hot-arid climate," Applied Energy, Elsevier, vol. 231(C), pages 714-746.
    16. O'Grady, Małgorzata & Lechowska, Agnieszka A. & Harte, Annette M., 2017. "Quantification of heat losses through building envelope thermal bridges influenced by wind velocity using the outdoor infrared thermography technique," Applied Energy, Elsevier, vol. 208(C), pages 1038-1052.
    17. Xiaobin Yang & Zhilong Chen & Hao Cai & Linjian Ma, 2014. "A Framework for Assessment of the Influence of China’s Urban Underground Space Developments on the Urban Microclimate," Sustainability, MDPI, vol. 6(12), pages 1-31, November.
    18. Xie, Xiaoxiong & Sahin, Ozge & Luo, Zhiwen & Yao, Runming, 2020. "Impact of neighbourhood-scale climate characteristics on building heating demand and night ventilation cooling potential," Renewable Energy, Elsevier, vol. 150(C), pages 943-956.
    19. Rocha, Helder R.O. & Fiorotti, Rodrigo & Louzada, Danilo M. & Silvestre, Leonardo J. & Celeste, Wanderley C. & Silva, Jair A.L., 2024. "Net Zero Energy cost Building system design based on Artificial Intelligence," Applied Energy, Elsevier, vol. 355(C).
    20. Prada, A. & Gasparella, A. & Baggio, P., 2018. "On the performance of meta-models in building design optimization," Applied Energy, Elsevier, vol. 225(C), pages 814-826.

    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:16:p:12480-:d:1218728. 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.