Data-driven study on individual occupant comfort using heating setpoints and window openings in new low-energy apartments - preliminary insights

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Abstract

This work suggests a method to evaluate residential building occupants' neutral temperature in winter based on their interaction with their heating system. This study applies the developed method on eight new, low-energy apartments in Copenhagen, Denmark. A set of indoor temperature, heating setpoint, window opening and floor heating valve opening data was collected from mid-January to the end of April, spanning through a large part of the Danish heating season. Semi-structured interviews were performed with occupants of three of the eight apartments in order to understand their use of their heating system. This preliminary study permits to highlight the potential and the current limitations of the proposed method, both for neutral temperature estimation as such and for applications in optimizing the energy flexibility provided by the building. This article suggests directions for further elaboration of the model. The main two influential factors highlighted here affecting setpoint adjustment are the occupants' acceptability of temperature variation and their ability to control the heating system.

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Sarran, L., Christensen, M. H., Hviid, C. A., Radoszynski, A. M., Rode, C., & Pinson, P. (2019). Data-driven study on individual occupant comfort using heating setpoints and window openings in new low-energy apartments - preliminary insights. In E3S Web of Conferences (Vol. 111). EDP Sciences. https://doi.org/10.1051/e3sconf/201911104063

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