The calibration process is an important step to improve the reliability of the simulation model and to reduce the differences between simulated and measured building energy performance. This paper presents a methodology to calibrate a building simulation model by means of low-cost monitoring set-up and short term measurements. The proposed method can be defined as a multi-stage calibration. It is based on the assumption that input data affect the simulation results differently according to the considered period of the year. It seems thus possible to calibrate different sets of parameters in different reference periods, with the advantage of using shorter recording times when the calibration periods have been consistently selected.

A multi-stages approach to the calibration of a school building's simulation model

CAPPELLETTI, FRANCESCA;
2015-01-01

Abstract

The calibration process is an important step to improve the reliability of the simulation model and to reduce the differences between simulated and measured building energy performance. This paper presents a methodology to calibrate a building simulation model by means of low-cost monitoring set-up and short term measurements. The proposed method can be defined as a multi-stage calibration. It is based on the assumption that input data affect the simulation results differently according to the considered period of the year. It seems thus possible to calibrate different sets of parameters in different reference periods, with the advantage of using shorter recording times when the calibration periods have been consistently selected.
2015
14. International Conference of IBPSA - Building Simulation 2015, BS 2015, Conference Proceedings
Inglese
2825
2832
8
9789352301188
IBPSA
14. Conference of International Building Performance Simulation Association, BS 2015;
7-9 December 2015
Hyderabad; India;
Internazionale
no
contributo
Esperti anonimi
http://www.ibpsa.org/?page_id=619
Building energy performance; Building simulation model; Calibration periods; Calibration process; Input datas; Multi stage; Short term; Simulation model
open
info:eu-repo/semantics/conferenceObject
6
3. Contributo in atti di convegno (Proceedings)::3.1 Contributo in atti di convegno
Penna, P.; Schmiedhofer, S.; Cappelletti, Francesca; Gasparella, A.; Tahmasebi, F.; Mahdavi, A.
273
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11578/265344
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