Multi-objective method of selecting performance-based local climatic zones using binomial logistic regression in warm and humid climate  

作　　者：G.R.Madhavan Dorairaj Kannamma 

机构地区：[1]Department of Architecture,National Institute of Technology,Tiruchirappalli,Tamil Nadu 620015,India

出　　处：《Frontiers of Architectural Research》2024年第1期184-200,共17页建筑学研究前沿（英文版）

摘　　要：Urban agglomeration is a serious concern due to its high energy usage and impact on the local climate.Developing countries strive to determine the development path to optimize energy usage.The present study aims to examine the local climatic zones(LCZs)performance in warm and humid climate through a multi-objective approach for the residential sector.The performance is assessed by evaluating the urban microclimate and cooling load consumption for both summer and winter months using binomial logistic regression.The study concludes that LCZ 2_(3)(compact mid-rise with open low-rise)and LCZ 6_(B)(open low-rise with scattered trees)perform better for 80%and 50%of total hours in warm and humid climate.It also proves the presence of significant performance differences between mid-rise and low-rise zones.The intra-zonal differences between the climatic variables are higher than the inter-zonal differences due to the impact of land surface temperature(LST).The high aspect ratio and low sky view factor of LCZ 2_(3) help the residents in that morphology in enhancing better thermal comfort and reducing cooling load consumption.The present study contributes to building regulation policymakers by providing information on the suitable morphology for warm and humid climate.

关 键 词：LCZ Outdoor thermal comfort Cooling load LST and urban morphology indicators 

分 类 号：P46[天文地球—大气科学及气象学] TU83[建筑科学—供热、供燃气、通风及空调工程]