Assessment of occupants’ adaptive capacity: a case study in naturally ventilated traditional residential houses

Jing Liu, Essah Emmanuel, Ting Cai
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Abstract

The thermal comfort of rural residents is a major issue related to people’s livelihood. Due to differences in climatic factors (e.g. local climate) and non-climatic factors (such as building structures, economic and social-cultural levels, living habits, and availability of environmental control) between rural and urban areas, participants have different thermal requirements for a given thermal environment. This difference means that the thermal comfort standards that only consider urban conditions may not be applicable for rural situations. Therefore, a thermal comfort field study was conducted on the thermal comfort of traditional residential houses with natural ventilation located in rural areas of northern, Guizhou, China. This study aims to understand the indoor thermal conditions and perceptions of occupants in rural areas, with a total of 513 subjects participate into questionnaire survey. Most survey respondents accept the thermal environment in which they reside, even if the indoor temperature is not within the recommended thermal comfort range specified by international standards such as ASHRAE 55. Adaptive predict mean vote (aPMV) is established using the least square method. The adaptive coefficient λ representing the adaptive capacity is twice the recommended coefficient of the Chinese standard, GB/T50785-2012. This confirms that rural residents have a stronger adaptability to cold conditions in winter. The findings are benefit for improving thermal comfort and carbon emissions reduction for traditional residential houses in rural areas of northern Guizhou, China.
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居住者适应能力评估:自然通风传统民居案例研究
农村居民的热舒适度是关系到民生的重大问题。由于农村和城市的气候因素(如当地气候)和非气候因素(如建筑结构、经济和社会文化水平、生活习惯以及环境控制的可用性)不同,参与者对特定热环境的热要求也不同。这种差异意味着只考虑城市条件的热舒适标准可能不适用于农村情况。因此,我们对贵州北部农村地区自然通风的传统民居的热舒适性进行了实地研究。这项研究旨在了解农村地区的室内热条件和居住者的感知,共有 513 名受访者参与了问卷调查。大多数调查对象都能接受他们所居住的热环境,即使室内温度不在 ASHRAE 55 等国际标准规定的推荐热舒适度范围内。采用最小二乘法建立了自适应预测平均票数(aPMV)。代表适应能力的适应系数 λ 是中国标准 GB/T50785-2012 推荐系数的两倍。这证明农村居民对冬季寒冷条件的适应能力较强。研究结果有利于提高贵州北部农村地区传统民居的热舒适度并减少碳排放。
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