Energy reduction can benefit from the improvement of energy effciency in buildings. For this purpose, simulation models can be used both as diagnostic and prognostic tools, reproducing the behaviour of the real building as accurately as possible. High modelling accuracy can be achieved only through calibration. Two approaches can be adopted—manual or automatic. Manual calibration consists of an iterative trial and error procedure that requires high skill and expertise of the modeler. Automatic calibration relies on mathematical and statistical methods that mostly use optimization algorithms to minimize the difference between measured and simulated data. This paper aims to compare a manual calibration procedure with an automatic calibration method developed by the authors, coupling dynamic simulation, sensitivity analysis and automatic optimization using IDA ICE, Matlab and GenOpt respectively. Differences, advantages and disadvantages are evidenced applying both methods to a dynamic simulation model of a real offce building in Rome, Italy. Although both methods require high expertise from operators and showed good results in terms of accuracy, automatic calibration presents better performance and consistently helps with speeding up the procedure.

Cornaro, C., Bosco, F., Lauria, M., Puggioni, V.a., De Santoli, L. (2019). Effectiveness of automatic and manual calibration of an office building energy model. APPLIED SCIENCES, 9(10), 1985 [10.3390/app9101985].

Effectiveness of automatic and manual calibration of an office building energy model

Cornaro C.
;
2019-01-01

Abstract

Energy reduction can benefit from the improvement of energy effciency in buildings. For this purpose, simulation models can be used both as diagnostic and prognostic tools, reproducing the behaviour of the real building as accurately as possible. High modelling accuracy can be achieved only through calibration. Two approaches can be adopted—manual or automatic. Manual calibration consists of an iterative trial and error procedure that requires high skill and expertise of the modeler. Automatic calibration relies on mathematical and statistical methods that mostly use optimization algorithms to minimize the difference between measured and simulated data. This paper aims to compare a manual calibration procedure with an automatic calibration method developed by the authors, coupling dynamic simulation, sensitivity analysis and automatic optimization using IDA ICE, Matlab and GenOpt respectively. Differences, advantages and disadvantages are evidenced applying both methods to a dynamic simulation model of a real offce building in Rome, Italy. Although both methods require high expertise from operators and showed good results in terms of accuracy, automatic calibration presents better performance and consistently helps with speeding up the procedure.
2019
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore ING-IND/11 - FISICA TECNICA AMBIENTALE
English
buildings; dynamic simulation; calibration; automatic optimization; sensitivity analysis; IDA ICE; GenOpt
Cornaro, C., Bosco, F., Lauria, M., Puggioni, V.a., De Santoli, L. (2019). Effectiveness of automatic and manual calibration of an office building energy model. APPLIED SCIENCES, 9(10), 1985 [10.3390/app9101985].
Cornaro, C; Bosco, F; Lauria, M; Puggioni, Va; De Santoli, L
Articolo su rivista
File in questo prodotto:
File Dimensione Formato  
applsci-09-01985.pdf

accesso aperto

Licenza: Copyright dell'editore
Dimensione 5.3 MB
Formato Adobe PDF
5.3 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/217296
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 15
  • ???jsp.display-item.citation.isi??? 11
social impact