摘要
为探究气候温和地区高校教室内的热舒适性,且修正预测热感觉和不满意度模型(predicted mean vote-predicted percentage of dissatisfaction,PMV-PPD模型)与实际热感觉投票值存在偏差情况,本文以昆明某高校大学生受试者为试验对象,分别测试室内环境参数、人员评估环境温度(t_(1))以及受试者主观评价等,共获得2229份有效数据。结果表明:在自然通风教室中,超过80%的大学生可以接受当前的热湿环境,PMV与实际平均热感觉投票(mean thermal sensation,MTS)模型相关较弱,PMV模型高估了受试者的实际热感觉,实测人员不满意百分比普遍大于预测不满意百分比。鉴于PMV模型预测准确性较低,综合考虑温度变化、主观反应等影响因素,提出人员评估环境温度(t_(1))作为修正性指标。人员评估环境温度与实际环境温度存在较强相关性,且在不同场景中两者温差值小于1.5℃。将t_(1)与热感觉投票进行回归分析,该参数与热感觉投票高度相关。在PMV计算中使用t_(1)代替空气温度对PMV模型进行修正得到tPMV,修正后的tPMV更接近于MTS模型,对PMV起到显著有效的修正作用。
In order to investigate the special characteristics of thermal comfort in the classrooms of colleges and universities in mild climate areas,and to correct the deviation between the predicted mean vote-predicted percentage of dissatisfaction model(PMV-PPD)and the actual thermal sensation polling values,this paper takes college student subjects in a university in Kunming as the experimental subjects,and tests the indoor environment parameter,the personnel assessment environment temperature(t1),and subjective evaluation of subjects,and so on,respectively,and obtains a total of 2229 valid data.The results showed that more than 80%of college students in naturally ventilated classrooms could accept the current hot and humid environments,the PMV was weakly correlated with the actual mean thermal sensation voting model(MTS),the PMV model overestimated the actual thermal sensation of subjects,and the actual personnel dissatisfaction percentage was generally greater than the predicted dissatisfaction percentage.In view of the low predictive accuracy of the PMV model,the personnel-assessed ambient temperature(t1)was proposed as a corrective indicator by considering the influencing factors such as temperature changes and subjective responses.There is a strong correlation between the personnel assessment environment temperature and the actual environment temperature,and the temperature difference between the two is less than 1.5°C in different scenarios.Regression analysis of t1 with thermal sensory voting showed that this parameter was highly correlated with thermal sensory voting.In the PMV calculation,t1 is used instead of air temperature to correct the PMV model to get tPMV,and the corrected tPMV is closer to the MTS model,which plays a significant and effective role in correcting the PMV.
作者
李游雅
张枫
付婷
王志浩
邓诗涵
Li Youya;Zhang Feng;Fu Ting;Wang Zhihao;Deng Shihan(Faculty of Civil Engineering and Mechanics,Kunming University of Science and Technology,Kunming 650031,China)
出处
《科技通报》
2024年第8期45-50,共6页
Bulletin of Science and Technology
基金
国家自然科学基金资助项目(52068036)。
关键词
热感觉
PMV-PPD模型
温和地区
热舒适模型修正
thermal sensation
PMV-PPD model
mild climate regions
thermal comfort model correction
