Paper Conference

Proceedings of Building Simulation 2017: 15th Conference of IBPSA

     

Model Tuning Approach for Energy Management of Office and Apartment Settings

Lisa Scanu1, Stephane Ploix2, Pierre Bernaud1, Etienne Wurtz 1
1Univ. Grenoble Alpes, CEA, LITEN, INES, LGEB, F-38000 Grenoble, France
2Univ. Grenoble Alpes, CNRS, Grenoble INP, GSCOP, F-38000 Grenoble, France


DOI: https://doi.org/10.26868/25222708.2017.233
Abstract: This paper presents a methodology for parameter estimation of a suitable model for energy management services in office and apartment settings. The objective of this work is to identify model structures and tune parameters to fit recorded data. Once these parameters have been identified , the model will support energy services (prediction, explanation). Greybox models are proposed to estimate the temperature and CO2 concentration based only on few sensors. Then, two different estimation parameter methods have been applied relying on a descent algorithm or a genetic one. Different structures have been compared. Finally, the resulting model has been applied to two case studies: an office and an apartment
Pages: 858 - 867
Paper:
BS2017_233