Indoor environmental quality is considered as an important indicator to reflect the occupants’ comfort level in buildings. However, it is difficult to evaluate the impact of physical parameters on the occupants’ comfort individually because of the coexistence of parameters and their interactions with each inhabitant. The objective of this research is to find out the best-fit mathematical model to predict comfort condition for secondary school by comparing three different models: Iordache’s IEQ model, Wong’s multivariate-logistic model and Ncube’s IEQ model. The best-fit model is applied as a supporting theory for the subsequent interior environment design, which can improve the learning performance of students. In addition, this research can obtain the relevance and difference between models, which provide support for the model identical. This research collected data by combining objective measurement with subjective survey. The whole experiment was conducted in a secondary school classroom in northeast of China, with a sample of 45 students. Data were collected once a week during the two-month experiment. The relevant environmental parameters from the collected data were brought into three mathematical models to calculate the corresponding thermal index, air quality index, acoustic index and visual index. Meanwhile, Actual Mean Votes (AMV) and Actual Percentage of Dissatisfaction (APD) were measured by analyzing the questionnaire from subjective survey to obtain the corresponding AMV and APD curves. The results showed that Wong’s multivariate-logistic model is best-fit comfort prediction for secondary school by comparing the calculated indexes and the corresponding AMV and APD curves through the SPSS and MatLab.
Zhiheng Li, Japan Advanced Institute of Science and Technology, Japan
Eunyoung Kim, Japan Advanced Institute of Science and Technology, Japan
This paper is part of the IICSEEHawaii2020 Conference Proceedings (View)
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