Towards a multivariate time-series approach with biosignal datasets for the global thermal comfort database

Abstract

At the moment, the most extensive database for thermal comfort studies is ASHRAE Global Thermal Comfort Database II. It is a valuable data compilation of data from past surveys that formed the current adaptive comfort model. However, comfort research discovered the importance of new indices since then; 1. The temporal component of thermal sensation, and 2. Biosignal data correlated to thermal physiology. There are already several studies focusing on one or both indices and in the near future, the data production will speed up incrementally. This paper investigates the current database and suggests a framework to update it to include new approaches.

International Comparison of Weather and Emission Predictive Building Control

“…This study deals with a simple weather predictive control (WPC) approach, using thermally activated building systems (TABSs) to create energy savings while providing thermal comfort [15]. The research gap of this paper is based on the phenomena of the performance gap [16], as well as on the energy-saving potentials of the concepts of thermal mass [17,18] and insulating additively manufactured façade elements [19], the availability of weather data [8,15], and the dynamic nature of thermal comfort perception [20][21][22][23]. It is apparent that various smart building control approaches are data-intensive and complex, which limits their implementation.…”