| Guiyang belongs to a mild climate zone,but indoor thermal environment problems are generally present in residential properties.In the damp and cold climate of winter,the issue of poor indoor thermal comfort is particularly severe in old residential properties with large stocks and outdated construction technologies.With the latest release of the national "14th Five-Year Plan for Building Energy Conservation and Green Building Development," improving indoor thermal comfort in residential properties,reducing building energy consumption,and achieving carbon peak targets have become key research topics.For the old residential properties in Guiyang with dilapidated infrastructure and inadequate indoor thermal comfort to meet the quality of living requirements of residents,there is currently no systematic research on strategies to optimize the indoor thermal environment.In this study,through the investigation of the indoor thermal environment of the old residential buildings in Guiyang,the passive optimization strategy for the building envelope is proposed to improve the living quality of the old residential buildings.This paper studies the following points :First of all,the current situation of typical old residential quarters in Guiyang City was investigated and summarized;the outdoor thermal environment of each residential area was measured,and its impact on the indoor thermal comfort of residential buildings was analyzed.Using a handheld thermal imager to investigate the thermal imaging pictures of the outer enclosure structure of old houses,and analyze the thermal performance of each part;In Guiyang City,the indoor thermal environment of typical old houses is analyzed in the hottest month in summer and the coldest month in winter.Real-time monitoring to analyze the change trend and reasons of the indoor thermal environment,and at the same time measure the temperature and humidity of the room facing north and south,compare the differences between the two and analyze the reasons.Secondly,based on the measured data,the Basic program is used to calculate the indoor predicted thermal comfort PMV value of typical old residential buildings and perform regression analysis on PMV and indoor temperature to obtain a linear relationship between the two equations and degrees of relevance.Collect the subjective evaluation of the indoor thermal environment through questionnaire survey,establish the actual thermal sensation model TSV,compare and analyze it with the predicted thermal perception PMV,and calculate the neutral temperature.Third,according to the current situation of the indoor thermal environment of old residential buildings in Guiyang City and the residents’ demand for thermal comfort improvement,it is determined that the main goal of optimizing the indoor thermal environment is to keep warm in winter and prevent heat in summer.Ladybug+Honeybee is used to quantitatively analyze the impact of different optimization factors on the indoor thermal environment with the number of indoor unheated comfort hours as the index.degree of influence.Finally,on the basis of the orthogonal test method,a multi-group combination test of each factor and level is designed for software simulation analysis one by one,and the optimal combination scheme with the least number of indoor uncomfortable hours is obtained,which can most effectively improve indoor thermal comfort Level,and sort the optimization degree of the indoor thermal environment of each influencing factor,to provide guidance and reference for the future renovation design of old houses in Guiyang. |