Reference : Calibration of a building simulation model to evaluate the overheating risk in summer...
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Energy
http://hdl.handle.net/2268/231033
Calibration of a building simulation model to evaluate the overheating risk in summer period – case study of a passive house in Belgium
English
[fr] Calibration d'un modèle de simulation de bâtiment pour évaluer le risque de surchauffe en période estivale - étude de cas d'une maison passive en Belgique
Abrahams, Pauline mailto [Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Building Energy Monitoring and Simulation (BEMS) >]
Rehab, Imane [Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Building Energy Monitoring and Simulation (BEMS) > >]
Andre, Philippe mailto [Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Building Energy Monitoring and Simulation (BEMS) >]
Jul-2017
30th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2017)
Curran Associates, Inc. (2018)
2882-2893
Yes
No
International
978-1-5108-6256-2
30th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2017)
du 02 juillet 2017 au 06 juillet 2017
San Diego State University
San Diego
USA
[en] Calibration ; Overheating ; Dynamic simulation ; Passive house ; TRNSYS
[en] A method based upon a calibrated model of building is proposed here to evaluate the performance in terms of thermal comfort during summer in a passive house. A model of the house was developed and this model was used to determine optimal solutions (cost and efficiency) to reduce or avoid the overheating that could occur in the building. The first step of this work consisted in the calibration of the thermal response of the simulation building model by comparison with the internal temperatures measured in the passive house during summer period. The simulations took into account the occupancy in the house and several other parameters in order to match the temperature sensors data of the house. These parameters were adjusted thanks to sensitivity analysis. An assessment of the accuracy of the simulated model was conducted by computation of sensitivity indicators. When the results of calibration showed a good matching between reference and simulated buildings the simulations were used to assess the best solution to reduce the overheating in passive house rooms which is occurring when the percentage of overheating time is over 5% (Passive House Platform standard in Belgium).
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/231033

There is no file associated with this reference.

Bookmark and Share SFX Query

All documents in ORBi are protected by a user license.