Sky view factor (SVF) is closely related to outdoor thermal comfort in residential areas. Existing studies typically analyze the relationship using the Universal Thermal Climate Index (UTCI) as a single indicator to evaluate outdoor thermal comfort, lacking a comprehensive consideration of sunlight and wind environment. In this paper, the wind-thermal environment of residential areas is regarded as an integrated system. Using a residential area in Xiamen as a case study, a multi-objective optimization method was applied to obtain the optimal scenarios by taking the three wind-thermal environment indicators as the joint optimization objectives. Additionally, the control strategies of SVF under the weights of different wind-thermal environment indicators were proposed. The research results show that: (1) SVF has the most significant impact on outdoor thermal comfort in summer (0.99), followed by sunlight hours in winter (0.78) and wind-thermal environment (−0.52); (2) When improving outdoor wind-thermal environments, the relationship between sunlight hours and thermal comfort should be prioritized and balanced; (3) Moderately decreasing SVF is the primary strategy to improve the overall outdoor wind-thermal environment. This study helps to reveal the reason for the complexity exhibited by SVF in evaluating outdoor comfort and to provide a trade-off for the enhancement of the outdoor wind-thermal environment in residential areas.

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Sky View Factor Control Strategies with Wind-Thermal Environment as Orientation in Residential Areas: Based on Multi-objective Optimization

  • Lingkun Jia,
  • Xiaoke Tian

摘要

Sky view factor (SVF) is closely related to outdoor thermal comfort in residential areas. Existing studies typically analyze the relationship using the Universal Thermal Climate Index (UTCI) as a single indicator to evaluate outdoor thermal comfort, lacking a comprehensive consideration of sunlight and wind environment. In this paper, the wind-thermal environment of residential areas is regarded as an integrated system. Using a residential area in Xiamen as a case study, a multi-objective optimization method was applied to obtain the optimal scenarios by taking the three wind-thermal environment indicators as the joint optimization objectives. Additionally, the control strategies of SVF under the weights of different wind-thermal environment indicators were proposed. The research results show that: (1) SVF has the most significant impact on outdoor thermal comfort in summer (0.99), followed by sunlight hours in winter (0.78) and wind-thermal environment (−0.52); (2) When improving outdoor wind-thermal environments, the relationship between sunlight hours and thermal comfort should be prioritized and balanced; (3) Moderately decreasing SVF is the primary strategy to improve the overall outdoor wind-thermal environment. This study helps to reveal the reason for the complexity exhibited by SVF in evaluating outdoor comfort and to provide a trade-off for the enhancement of the outdoor wind-thermal environment in residential areas.