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Optimization-based calibration for dynamic building simulation models : a case study
Monetti, Valentina; Davin, Elisabeth; Fabrizio, Enrico et al.
2015In Mathur, Jyotirmay; Garg, Vishal (Eds.) Proceedings of BS2015: 14th Conference of International Building Performance Simulation Association
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Abstract :
[en] This study presents an original methodology for calibrating building energy models based on monitored data. An optimization-based approach was applied to a monitored test building coupling the building simulation program EnergyPlus with the optimization software GenOpt. An objective function was set to minimize the difference between the simulated and the monitored energy consumption at the hour time scale, varying the building model parameters selected at the beginning as the most influencing. After calibration, the observed heating energy consumption of the case study matched closely the monitored data, the model accuracy was verified according to the MBE and the Cv(RMSE) limit set by the ASHRAE guideline 14.
Disciplines :
Energy
Author, co-author :
Monetti, Valentina
Davin, Elisabeth ;  Université de Liège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > DER Sc. et gest. de l'environnement (Arlon Campus Environ.)
Fabrizio, Enrico
Andre, Philippe ;  Université de Liège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Building Energy Monitoring and Simulation (BEMS)
Filippi, Marco
Language :
English
Title :
Optimization-based calibration for dynamic building simulation models : a case study
Publication date :
2015
Event name :
14th Conference of International Building Performance Simulation Association
Event organizer :
IBPSA
Event place :
Hyderabad, India
Event date :
du 7 décembre 2015 au 9 décembre 2015
By request :
Yes
Audience :
International
Main work title :
Proceedings of BS2015: 14th Conference of International Building Performance Simulation Association
Author, co-author :
Mathur, Jyotirmay
Garg, Vishal
Publisher :
BSP Books, Hyderabad, India
ISBN/EAN :
9789352301188
Pages :
82-89
Peer reviewed :
Peer reviewed
Available on ORBi :
since 25 August 2017

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