Yan, D;
O'Brien, W;
Hong, T;
Feng, X;
Gunay, HB;
Tahmasebi, F;
Mahdavi, A;
(2015)
Occupant behavior modeling for building performance simulation: Current state and future challenges.
Energy and Buildings
, 107
pp. 264-278.
10.1016/j.enbuild.2015.08.032.
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Abstract
Occupant behavior is now widely recognized as a major contributing factor to uncertainty of building performance. While a surge of research on the topic has occurred over the past four decades, and particularly the past few years, there are many gaps in knowledge and limitations to current methodologies. This paper outlines the state-of-the-art research, current obstacles and future needs and directions for the following four-step iterative process: (1) occupant monitoring and data collection, (2) model development, (3) model evaluation, and (4) model implementation into building simulation tools. Major themes include the need for greater rigor in experimental methodologies; detailed, honest, and candid reporting of methods and results; and development of an efficient means to implement occupant behavior models and integrate them into building energy modeling programs.
| Type: | Article |
|---|---|
| Title: | Occupant behavior modeling for building performance simulation: Current state and future challenges |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.enbuild.2015.08.032 |
| Publisher version: | https://doi.org/10.1016/j.enbuild.2015.08.032 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Occupant behavior, Energy modeling, Building simulation, Energy efficiency, Energy use |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10069433 |
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