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<p>Understanding how nighttime sleep affects next-day thermal comfort is critical in naturally ventilated (NV) buildings, especially in warm-humid climates where mechanical cooling is absent. This study presents a novel investigation linking previous night’s sleep quality to next-day’s thermal sensation, comfort, and adaptive behavior in NV hostels in eastern India. Field data were collected over two seasons from four NV hostels using ASHRAE Class II measurements and subjective responses, including the Pittsburgh Sleep Quality Index (PSQI). Statistical analyses including correlation, multiple regression and probit modeling were used to quantify the relationships between environmental variables, sleep-quality and comfort. Results revealed significant seasonal variation in operative temperature (22.8&#xa0;°C winter vs. 31.2&#xa0;°C summer), clothing insulation (0.68 vs. 0.38 clo), PMV (–0.48 vs. +1.83), and TSV (–0.74 vs. +0.69). Poor sleep (PSQI &gt; 5) was associated with up to 1.5 units extreme TSV, and lower satisfaction and acceptance. PMV overpredicted discomfort compared to TSV, reinforcing the limitations of heat-balance models in NV settings. Thermal neutrality shifted seasonally (T<sub>nG</sub>: 24.2 ~ 29.8&#xa0;°C). This study provides the first empirical evidence that prior sleep quality significantly influences thermal comfort perception, highlighting the need to integrate sleep dynamics into adaptive comfort frameworks.</p>

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Thermal comfort and influence due to sleep quality in university male hostellers: A case study of warm and humid Jalpaiguri

  • 期刊论文

  • 发表日期：

    2026年1月26日

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  • Samar Thapa,
  • Goutam Kumar Panda,
  • Tushar Shaw,
  • Saikat Das

摘要

Understanding how nighttime sleep affects next-day thermal comfort is critical in naturally ventilated (NV) buildings, especially in warm-humid climates where mechanical cooling is absent. This study presents a novel investigation linking previous night’s sleep quality to next-day’s thermal sensation, comfort, and adaptive behavior in NV hostels in eastern India. Field data were collected over two seasons from four NV hostels using ASHRAE Class II measurements and subjective responses, including the Pittsburgh Sleep Quality Index (PSQI). Statistical analyses including correlation, multiple regression and probit modeling were used to quantify the relationships between environmental variables, sleep-quality and comfort. Results revealed significant seasonal variation in operative temperature (22.8 °C winter vs. 31.2 °C summer), clothing insulation (0.68 vs. 0.38 clo), PMV (–0.48 vs. +1.83), and TSV (–0.74 vs. +0.69). Poor sleep (PSQI > 5) was associated with up to 1.5 units extreme TSV, and lower satisfaction and acceptance. PMV overpredicted discomfort compared to TSV, reinforcing the limitations of heat-balance models in NV settings. Thermal neutrality shifted seasonally (TnG: 24.2 ~ 29.8 °C). This study provides the first empirical evidence that prior sleep quality significantly influences thermal comfort perception, highlighting the need to integrate sleep dynamics into adaptive comfort frameworks.