Reference : Method for Building Model Calibration to Assess Overheating Risk in a Passive House i...
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Energy
http://hdl.handle.net/2268/237980
Method for Building Model Calibration to Assess Overheating Risk in a Passive House in Summer
English
Abrahams, Pauline mailto [Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Building Energy Monitoring and Simulation (BEMS) >]
Lang, Marie mailto [Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) >]
Falzone, Claudia mailto [Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Surveillance de l'environnement >]
Andre, Philippe mailto [Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Building Energy Monitoring and Simulation (BEMS) >]
3-Sep-2019
Proceedings of the 16th IBPSA Internation Conference and Exhibition
Yes
No
International
16th IBPSA Internation Conference and Exhibition
from 2nd September 2019 to 4th September 2019
Symposia
Rome
Italy
[en] Calibration ; Overheating ; Dynamic Simulation ; Passive house ; TRNSYS
[en] Overheating is a major problem that may occur, especially in high-performing buildings. The insulation thickness that is currently installed in passive houses (around 30 cm) may indeed lead to severe overheating problems if this is some mitigated by adequate solar gains control and/or efficient ventilation schemes and strategies. This risk is expressed in percentage and calculated when the indoor temperature is above 25°C. For instance, the acceptable limit for a passive house is set at 5% over a year as defined by the Passive House Platform standard in Belgium(Vandenberghe & VanLoon, 2013). To assess overheating, dynamic simulation is a valuable approach that can be used to calculate the overheating risk and to assess the efficiency of overheating control measures. This paper presents an approach where a detailed simulation model of a passive house was developed (using TRNSYS Type 56), calibrated on the basis of measurements carried out in a typical house in Belgium and then used to compare different overheating mitigation strategies. The accuracy of the simulated model was assessed by calculating statistical indices. When the calibration results have shown a good match between measured and simulated data, the model was used in dynamic simulations to determine the best solution to reduce the risk of overheating in house under study.
Service public de Wallonie. SPW
IEA Annex 58
Researchers
http://hdl.handle.net/2268/237980

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