Issue |
E3S Web Conf.
Volume 111, 2019
CLIMA 2019 Congress
|
|
---|---|---|
Article Number | 04063 | |
Number of page(s) | 8 | |
Section | High Energy Performance and Sustainable Buildings, Simulation models and predictive tools for the buildings HVAC, IEQ and energy | |
DOI | https://doi.org/10.1051/e3sconf/201911104063 | |
Published online | 13 August 2019 |
Data-driven study on individual occupant comfort using heating setpoints and window openings in new low-energy apartments – preliminary insights
1 Department of Civil Engineering, Technical University of Denmark, Kongens Lyngby, Denmark
2 Department of Electrical Engineering, Technical University of Denmark, Kongens Lyngby, Denmark
* Corresponding author: lucjsar@byg.dtu.dk
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.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.