关于热感觉和热舒适与热适应性的讨论

系统地论述了人体热舒适研究的发展过程,讨论了热感觉、热舒适及热适应的定义,并分析了热感觉与热舒适的差异及与热适应性的关系,得出了人们对同一热环境有不同的热感觉及热舒适性,主要是由于人体的适应性产生的。     

哈尔滨高校教室热舒适现场研究

为了研究高校教室在学生上课期间的热环境和人体热舒适,在哈尔滨高校教室进行了现场研究。在测量室内热舒适参数的同时,学生填写对室内环境的热感觉和热舒适主观调查表,共调查了1285人次,得到了1285份人体热反应的样本。现场测试结果表明,哈尔滨高校自然通风教室全年人体热中性温度为23.4℃(t0)。     

厦门高校教室冬季热环境测试及热舒适预测

为考察冬季非空调环境下人体热感觉,对厦门某高校教室的热舒适度进行了现场测试.在测量室内外热舒适参数的同时,通过问卷调查得到了人体热反应样本.分析样本得出厦门高校教室冬季非空调工况下人体热中性温度和热期望温度分别为19.3和19.4℃.综合考虑温度、相对湿度、平均辐射温度、风速及服装热阻对坐姿轻度活动状态人体的热舒适影响,使用MATLAB软件进行非线性回归,得到非空调工况下热舒适预测方程.该预测方程与实测得到的人体热舒适投票两者结果有较高相关度,同时较大程度上反映了冬季非空调环境下人体热感觉的变异.     

侧墙热辐射对人体热舒适的影响

通过人工气候室实验,以24名身着热阻为0.6 clo夏季室内服装的受试者为研究对象,研究了在中性空气温度(26℃)、侧墙热辐射条件下不同暴露时间对人体热反应与热舒适的影响。结果表明:随着受试者在不均匀辐射环境中暴露时间的增加,受试者热感觉逐渐降低并趋近中性,热舒适度和热可接受度逐渐增大,平均皮肤温度无显著变化,心率略有降低;中性环境温度下,暴露时间为60、120、180 min时,5%局部热不舒适的不对称辐射温度限值分别为1.7、1.9、4.5℃。得到了不同部位热感觉、热舒适对全身热感觉、热舒适的影响权重,建立了适用于中性环境温度、侧墙热辐射环境下的人体热感觉和热舒适评价模型。     

哈尔滨市住宅环境热舒适测试结果分析

对哈尔滨市冬季居民热舒适现场研究结果做了进一步分析和总结，重点讨论了不同性别的人体热感觉和热中性温度及预测不满意百分数PPD的最小值问题，并与寒冷地区及其他热舒适现场研究结果进行了对比分析。     

综合皮肤指标及其与热感觉关系的探讨

平均皮肤温度和皮肤湿度是表征人体对热环境生理调节功能的重要参数,是人体热感觉的外在表现,但是二者在单独用于评价人体热感觉时均有一定的局限性。提出了综合皮肤指标的概念,研究了综合皮肤指标与热感觉的关系,并给出了不同活动水平下接近舒适状态时平均皮肤温度与皮肤湿度的波动范围。     

关于"热舒适"的讨论

指出了人体热反应研究中关于热舒适的一些模糊概念及对热舒适与热感觉关系的含混认识。分析了热舒适与热感觉的不同含义、现有的不同解释及两者的稳态和动态条件下的差别。     

夏热冬冷地区人体热舒适气候适应模型研究

对夏热冬冷地区居住建筑冬、夏季室内空气温度、相对湿度、风速等参数进行大样本测试和统计,以问卷方式调查了居民的基本情况,以ASHRAE的7级热感觉标度对居民的热感觉主观反应进行了调查统计.运用统计学分析方法对结果进行了回归分析,得出了该地区冬、夏季的热中性温度与期望温度.建立了夏热冬冷地区热舒适气候的适应性模型,确立了室内舒适温度与室外空气温度之间的相互适应关系.将适应性舒适温度作为室内热环境设计指标,在改善室内热舒适度的同时,可显著地降低建筑设备能耗.     

基于神经网络的哈尔滨高校教室热环境特征模型研究

为了研究哈尔滨高校教室热环境特征模型和人体热舒适,笔者于2004年9月～2005年12月在哈尔滨进行了20次现场研究.在测量室内热舒适参数的同时,受试者填写对室内环境的热感觉和热舒适主观调查表.而后利用人工神经网络方法,建立了哈尔滨高校教室热环境特征和人体热舒适的BP神经网络评判模型,实现了对哈尔滨高校教室热环境内人体热感觉的智能化预测.现场研究结果验证表明,该模型预测的哈尔滨高校教室热环境内人体热感觉与实际主观调查吻合.     

不同城市自然通风建筑热舒适状况研究

通过上海、长沙自然通风建筑内进行的人体热舒适调查研究，并结合有关文献中北京和天津热舒适研究的成果，对我国目前不同城市自然通风建筑内热舒适状况进行探讨。结果认为，我国自然通风建筑内热中性温度均略高于ASHRAE推荐范围，采用实测的舒适温度作为空调温度可节约大量的能量。     

Field study of a thermal environment and adaptive model in Shanghai

A long-term field investigation was carried out in naturally ventilated residential buildings in Shanghai from April 2003 to November 2004. A total of 1,768 returned questionnaires were collected in the study. This study deals with the thermal sensation of occupants in naturally ventilated buildings and the change in thermal neutral temperature with season. The range of accepted temperature in naturally ventilated buildings is between 14.7 degrees C T(op) and 29.8 degrees C T(op). The results also report the findings of the adaptive comfort model in Shanghai that determines the adaptive relationship of neutral temperature with outdoor air temperature. A long-term field study was carried out in residential buildings in Shanghai to find the relationship between thermal sensation, indoor neutral temperature and outdoor temperature. This paper presents findings of thermal comfort and discusses the more sustainable standard for the indoor climate of residential buildings in Shanghai.     

Investigating the principal adaptive comfort relationships for young children

Thermal comfort surveys in school classrooms suggest that children have different thermal preferences to adults. This implies a need to revisit the current adult-based thermal comfort models. This paper investigates the principal adaptive comfort relationships that form the basis of adaptive comfort theory, using 2693 pupil thermal sensation responses and measured classroom temperatures from surveys in two naturally ventilated school buildings. The data were examined in two steps. Firstly, each survey set, obtained over one-day visits to the schools, was examined in order to derive the relationship between indoor temperature change and comfort vote with minimum impact of adaptation. Secondly, the data set was investigated over the entire survey period in relation to the weather experienced by the pupils in order to estimate their time for adaptation to outdoor temperature changes. The analysis shows that the basic adaptive comfort relationships are valid for children. However, a difference was found for the correlation coefficients of the comfort temperature to the outdoor running mean temperature between the schools, and a mismatch between their adaptive comfort equations. It is proposed that the difference in the consistency of the weather during the tests is the main reason for this discrepancy.     

北京地区冬季室内人体热舒适性及热适应性调查

测试了室内环境参数,同时调查了受试者的热感觉。结果显示,室外温度对人的热适应性有显著影响。在冬季,寒冷的气候条件使人们形成对偏冷环境的适应性,此时如果室内温度过高,人们对低温的适应性将被破坏,反而感觉不舒适。     

青海乡域中小学教室内学生冬季的热舒适性

对青海乡域4所典型中小学校10间教室冬季室内温湿度、风速、黑球温度等热环境参数进行现场测试,同时对420余名青少年学生的衣着情况、热感觉评价等进行了主观问卷调查。对测试和调查结果进行统计分析,得到实测和预测热中性温度分别为13.8和14.5℃,热期望温度为16.2℃,90%的学生感到满意的舒适温度范围为15.8~18.7℃。在当地寒冷的气候条件、学生衣着习惯、心理期望及生理特性等因素影响下,中小学生形成了对偏冷环境的适应性,提出可利用适应性PMV模型(aPMV)对中小学生平均热感觉进行准确预测。可为乡域中小学教室冬季热环境设计提供依据。     

感知控制对湿热地区户外庭园空间热舒适性的影响——以华侨大学“世外·花缘”生活实验室为例

户外热舒适对城市景观空间的使用具有显著影响。目前对户外热舒适的研究较少考虑感知控制(Perceived Control)的影响作用。通过在选定实验区域内对志愿者进行问卷调查,分析感知控制对庭园空间热舒适的影响。结果表明：1)感知控制对湿热地区庭园空间的夏季中性温度具有一定影响,但对秋、冬季中性温度影响微弱;2)感知控制受限会导致热感觉的敏感程度增强,热舒适范围变窄;3)在中性温度范围附近,感知控制对热舒适感的影响十分微弱,而在热感觉为“冷”“凉”“暖”“热”的热环境中,感知控制对不适感具有一定缓解作用;4)感知控制在一定程度上扩大了人们对庭园热环境的可接受范围,当感知控制受限时,人们对热环境的接受度会有所下降。     

Field study of human thermal comfort and thermal adaptability during the summer and winter in Beijing

This study was conducted during the summer and winter in Beijing. Classrooms and offices in a university were used to conduct the survey. The respondents’ thermal sensation and thermal adaptability in both seasons were analyzed. During the study, indoor environmental parameters including air temperature, mean radiant temperature, relative humidity, and air velocity were measured. The respondents’ thermal sensation was determined by questionnaire.A relationship between indoor temperature and thermal sensation was found. In the summer study, the “scissors difference” between TSV and PMV was observed in the air-conditioned environments if the temperature was out of the neutral zone. People had higher tolerance in the hot environment than PMV predicted. During winter, the outdoor temperature had a prominent influence on thermal adaptability. The low outdoor temperature made people adapt to the cold environment. When the indoor temperature was heated to a high temperature by space heating facilities, respondents felt uncomfortable since their adaptability to the cold environment was nullified.Furthermore, the differences in thermal responses between respondents from North and South China showed that the different climates of people's native regions also affected their thermal comfort and adaptability.     

Derivation of the adaptive equations for thermal comfort in free-running buildings in European standard EN15251

The equation for thermal comfort for buildings in the free-running mode (Annexe A2) in European Standard EN15251 rests on the data collected in the EU project Smart Controls and Thermal Comfort (SCATs). Many of these data were from naturally ventilated office buildings which were in free-running mode outside the heating season. Using the data from these buildings a relationship between indoor comfort and outdoor climate was developed for free-running buildings. This paper describes the data and the methods of analysis used to estimate the comfort conditions in the variable environment of free-running buildings. The paper also describes how the indoor comfort conditions were related to the running mean of the outdoor temperature, and addresses the effects of air movement and humidity. The paper considers the proportions of people likely to be comfortable if the temperature differs from the neutral temperature. The differences between the adaptive comfort charts in EN15251 and ASHRAE 55-2004 are discussed.     

Evaluation of coupled outdoor and indoor thermal comfort environment and anthropogenic heat

With rapid urbanization, big cities in the south of China are progressively falling short of sustaining outdoor thermal comfort. In this paper, a thermal comfort and energy evaluation model is derived from revisions of previous study, to simulate and predict the interaction of coupled urban building-site climate and then the thermal comfort. The methodology of principal calculations is demonstrated first, then a hypothetical district of office buildings in Shanghai is selected. Dynamic on-site climate parameters, anthropogenic heat and indoor/outdoor SET* values, etc., are simulated and evaluated. The results show the variation of outdoor SET* values influenced by factors including canopy height, building coverage and air-conditioning set-point temperature.