Multi-Objective Optimization of Morphology in High-Rise Residential Areas for Outdoor Thermal Comfort in Yulin City, Northwest China

被引:0
|
作者
Meng, Yuan [1 ]
Hao, Yunqi [1 ]
Que, Yufei [1 ]
Ren, Juan [1 ,2 ]
Liu, Yu [2 ,3 ]
机构
[1] Changan Univ, Sch Architecture, Xian 710061, Peoples R China
[2] Xian Univ Architecture & Technol, Sch Architecture, Xian 710055, Peoples R China
[3] Northwestern Polytech Univ, Sch Mech Civil Engn & Architecture, Xian 710072, Peoples R China
关键词
outdoor thermal comfort; multi-objective optimization; sensitivity analysis; high-rise residential area; machine learning; architectural morphology; GENETIC ALGORITHM; EFFICIENCY;
D O I
10.3390/buildings14061688
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Urban residential areas significantly influence outdoor thermal comfort through architectural morphology. This study concentrates on the multi-objective optimization of the thermal comfort environment in residential areas, with a focus on Yulin-a city in the cold, inland region of Northwestern China. Yulin is characterized by its distinctly defined seasons, particularly harsh and windy conditions in the spring, which significantly impact thermal comfort. Utilizing field surveys, characteristics of scale and layout from high-rise residential areas in Yulin were extracted to formulate design strategies adapted to local climates. The Universal Thermal Climate Index (UTCI) served as the optimization criterion, and genetic algorithms, integrated with parametric modeling software, generated multiple layout schemes. These were refined through the Pareto evolutionary algorithm II to optimize thermal comfort across seasons. Furthermore, the Sobol' sensitivity analysis method was employed to assess the impact of key parameters on outdoor thermal comfort, identifying crucial layout design elements. The optimization improved UTCI values for different seasons, ensuring year-round comfort. Specifically, summer UTCI improved to 25.51, while winter and spring values reached optimal values of -14.02 and -6.41, demonstrating enhanced thermal retention and reduced wind exposure. Sobol' sensitivity analysis identified building length, orientation, and density as key parameters, highlighting their critical impact on thermal comfort. This study offers practical guidelines for urban residential area design in similar climatic zones, aligning architectural planning with environmental sustainability and enhancing thermal comfort effectively. This study provides practical guidelines for the design of residential areas in cold inland-seasonal windy-regions and other similar climatic zones, aligning building morphology design with environmental sustainability and enhancing thermal comfort effectively.
引用
收藏
页数:24
相关论文
共 50 条
  • [21] Noise exposure of the residential areas close to urban expressways in a high-rise mountainous city
    Li, Heng
    Xie, Hui
    ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE, 2021, 48 (06) : 1414 - 1429
  • [22] Intelligent multi-objective design method for high-rise shear wall structures
    Zhou X.
    Hu J.
    Wang L.
    Liu J.
    Cheng G.
    Qi H.
    Huang X.
    Yan F.
    Tumu Gongcheng Xuebao/China Civil Engineering Journal, 2024, 57 (06): : 92 - 100
  • [23] Sensitivity analysis and multi-objective optimization of energy consumption and thermal comfort by using interior light shelves in residential buildings
    Ebrahimi-Moghadam, Amir
    Ildarabadi, Paria
    Aliakbari, Karim
    Fadaee, Faramarz
    RENEWABLE ENERGY, 2020, 159 : 736 - 755
  • [24] Biophilic Experience in High-Rise Residential Areas in China: Factor Structure and Validity of a Scale
    Yue, Miao
    Zhang, Xinshuo
    Zhang, Junjie
    SUSTAINABILITY, 2024, 16 (07)
  • [25] Energy, thermal comfort, and indoor air quality: Multi-objective optimization review
    Al Mindeel, T.
    Spentzou, E.
    Eftekhari, M.
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2024, 202
  • [26] High-Rise Residential District Morphology Optimization for Enhancing the Green Space Cooling Effect
    Shi, Feng
    Chen, Yuan
    Yue, Wenru
    Wang, Yupeng
    BUILDINGS, 2024, 14 (01)
  • [27] Aerodynamic optimization of high-rise building with façade ribs through CFD-based multi-objective optimization algorithm
    Liu, Jinyang
    Hui, Yi
    Yang, Qingshan
    Guan, Xin
    JOURNAL OF BUILDING ENGINEERING, 2024, 96
  • [28] Multi-Objective Analysis of Visual, Thermal, and Energy Performance in Coordination with the Outdoor Thermal Environment of Productive Facades of Residential Communities in Guangzhou, China
    Wang, Yuyan
    Zhang, Xi
    Zhang, Yifan
    Zhang, Hao
    Xiong, Bo
    Shi, Xuepeng
    BUILDINGS, 2023, 13 (06)
  • [29] The Effects of Different Space Forms in Residential Areas on Outdoor Thermal Comfort in Severe Cold Regions of China
    Liu, Zheming
    Jin, Yumeng
    Jin, Hong
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (20)
  • [30] Multi-objective optimization for energy consumption, daylighting and thermal comfort performance of rural tourism buildings in north China
    Zhu, Li
    Wang, Binghua
    Sun, Yong
    BUILDING AND ENVIRONMENT, 2020, 176