Abstract

Designers usually assume several parameters when building simulation models. Among these assumptions is the preferred indoor climatic conditions. However, thermal comfort is a subjective matter in which people perceive differently. The discrepancy between the assumed and preferred indoor conditions can cause the “comfort gap” which contribute to the performance gap. In this paper, personalized thermal sensation vote equations were developed for seven respondents. They were developed based on coupling monitoring with “right here right now” survey to define the preferred indoor temperature for each of them. Adapting this approach, especially using an automated system is useful to reduce the “comfort gap” by minimizing the assumptions when developing the simulation models.