Enhancing Comfort of Occupants in Energy Buildings

Monalisa Pal 1 Amr Alzouhri Alyafi 2 Sanghamitra Bandyopadhyay 3 Stéphane Ploix 2 Patrick Reignier 4
2 G-SCOP_GCSP - GCSP
G-SCOP - Laboratoire des sciences pour la conception, l'optimisation et la production
4 PERVASIVE - Interaction située avec les objets et environnements intelligents
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology, UGA - Université Grenoble Alpes
Abstract : As buildings contribute significantly towards global energy consumption, it is essential that the occupants receive the best comfort without utilising further energy. This work treats building, environment and the occupants as a system, which presents the context and the occupants also provide their comfort criteria to a black box for yielding the a schedule of actions (opening/closing of doors/windows) for optimal comfort. The physical state of an office, situated in France, is recorded over a span of 100 days. This data is utilised by a physical model of the building to simulate the indoor ambience based on random sets of user actions from which an optimal schedule is obtained, representing equally best trade-off among minimal thermal and CO2 based air quality dissatisfaction. Results indicate that adopting the proposed schedule of user actions can efficiently enhance the occupants comfort.
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Monalisa Pal, Amr Alzouhri Alyafi, Sanghamitra Bandyopadhyay, Stéphane Ploix, Patrick Reignier. Enhancing Comfort of Occupants in Energy Buildings. Operations Research and Optimization, pp.1-11, 2018. ⟨hal-01865292⟩

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