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Evaluation of thermal comfort in an office building in the humid tropical climate of Benin
Building and Environment ( IF 7.1 ) Pub Date : 2020-11-01 , DOI: 10.1016/j.buildenv.2020.107277
Gratien Kiki , Clément Kouchadé , Aristide Houngan , Stephen Junior Zannou-Tchoko , Philippe André

Abstract Benin, like most West African countries, is confronted with the lack of indoor thermal comfort standards adapted to the realities of the region. This situation leads to the adoption of Western comfort standards, the consequences of which can be seen in the discomfort of building occupants and above all in significant energy losses. This justifies the need to identify, among the many comfort models developed in the literature, those that are better adapted to the evaluation of thermal comfort in buildings in Benin. Thus, after a literature review on the subject, two comfort models were found to be relevant for the assessment of thermal comfort in air-conditioned buildings in hot and humid regions. These are the adaptive models of Lopez-Perez and al. and Indraganti and al. The application of these two models on an air-conditioned office building located in the city of Cotonou in southern Benin, resulted in comfort temperatures of 26.1 ° C and 26 ° C respectively. These values, very close to the average neutral temperature of the occupants ( 26.1 ° C ), reveal the effectiveness of these adaptive models in assessing thermal comfort in the said building. Moreover, the application of Fanger's static model ( P M V ) and hybrid models ( a P M V and P M V n e w ) has shown that the P M V and a P M V of Yao and al. underestimate the adaptability of the occupants to relatively high comfort temperatures while the P M V n e w of Olissan and al. overestimates this adaptability.

中文翻译:

贝宁热带湿润气候下办公楼热舒适性评价

摘要 与大多数西非国家一样,贝宁面临着缺乏适合该地区现实的室内热舒适标准。这种情况导致采用西方舒适标准,其后果可以从建筑物居住者的不适感中看出,尤其是在显着的能量损失方面。这证明有必要在文献中开发的许多舒适模型中确定那些更适合评估贝宁建筑物热舒适性的模型。因此,在对该主题的文献回顾之后,发现两个舒适模型与热湿地区空调建筑的热舒适性评估相关。这些是 Lopez-Perez 等人的自适应模型。和 Indraganti 和 al。这两种模型在位于贝宁南部科托努市的空调办公楼上的应用,分别产生了 26.1°C 和 26°C 的舒适温度。这些值非常接近居住者的平均中性温度 (26.1 °C),揭示了这些自适应模型在评估所述建筑物的热舒适性方面的有效性。此外,Fanger 的静态模型(PMV)和混合模型(a PMV 和 PMV new)的应用表明,Yao 等人的 PMV 和 a PMV。低估了乘员对相对较高舒适温度的适应性,而 Olissan 等人的 PMV 新。高估了这种适应性。非常接近居住者的平均中性温度 (26.1 °C),揭示了这些自适应模型在评估所述建筑物的热舒适性方面的有效性。此外,Fanger 的静态模型(PMV)和混合模型(a PMV 和 PMV new)的应用表明,Yao 等人的 PMV 和 a PMV。低估了乘员对相对较高舒适温度的适应性,而 Olissan 等人的 PMV 新。高估了这种适应性。非常接近居住者的平均中性温度 (26.1 °C),揭示了这些自适应模型在评估所述建筑物的热舒适性方面的有效性。此外,Fanger 的静态模型(PMV)和混合模型(a PMV 和 PMV new)的应用表明,Yao 等人的 PMV 和 a PMV。低估了乘员对相对较高舒适温度的适应性,而 Olissan 等人的 PMV 新。高估了这种适应性。低估了乘员对相对较高舒适温度的适应性,而 Olissan 等人的 PMV 新。高估了这种适应性。低估了乘员对相对较高舒适温度的适应性,而 Olissan 等人的 PMV 新。高估了这种适应性。
更新日期:2020-11-01
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