Predictive model of indoor temperature from ambient levels

Nai Yun Hsu, Yen Hsu Lin, Han Yu Shih, Yu Chun Liu, Chao Yu Guo, Huey-Jen Su

研究成果: Paper

摘要

This study aimed to estimate the relationship between atmospheric and indoor temperature in typical residences, and further to establish the predictive model for indoor temperature based on outdoor information collected from ambient monitoring station. Thirty homes, selected from 11 cities throughout Taiwan, were recruited for indoor environmental monitoring. Mixed effects model was constructed. Preliminary data suggest as much as 44% of the indoor temperature variance could be explained by the model, depending on the region of interest, and the prediction was more precise during the period of December to April. The model is expected to provide a better estimate of individuals' thermal exposure levels in ecological studies, and to be considered as the refrain the susceptible group from the risk of sudden of temperature changes.

原文English
頁面199-204
頁數6
出版狀態Published - 2014 一月 1
事件13th International Conference on Indoor Air Quality and Climate, Indoor Air 2014 - Hong Kong, Hong Kong
持續時間: 2014 七月 72014 七月 12

Other

Other13th International Conference on Indoor Air Quality and Climate, Indoor Air 2014
國家Hong Kong
城市Hong Kong
期間14-07-0714-07-12

All Science Journal Classification (ASJC) codes

  • Pollution
  • Building and Construction
  • Health, Toxicology and Mutagenesis
  • Computer Science Applications

指紋 深入研究「Predictive model of indoor temperature from ambient levels」主題。共同形成了獨特的指紋。

  • 引用此

    Hsu, N. Y., Lin, Y. H., Shih, H. Y., Liu, Y. C., Guo, C. Y., & Su, H-J. (2014). Predictive model of indoor temperature from ambient levels. 199-204. 論文發表於 13th International Conference on Indoor Air Quality and Climate, Indoor Air 2014, Hong Kong, Hong Kong.