Moving horizon estimation of lumped load and occupancy in smart buildings

Moving horizon estimation of lumped load and occupancy in smart buildings

Author Ebrahimpour, Misagh Google Scholar
Autor UNIFESP Google Scholar
Abstract Model-based control strategies are widely used to improve the energy efficiency of building systems but they require accurate dynamic building models. Information about disturbances such as lumped load and occupancy is necessary in order to cover the mismatch between the simulations and reality, which leads to determining correct energy predictions of the building. Rigorous models that are applied in simulators such as EnergyPlus and Trnsys are difficult to be calibrated due to the high number of parameters and computational effort. Reduced models along with online estimators may be applied to overcome this issue. In this work, moving horizon estimation (MHE) is implemented for estimating the lumped load and number of occupants of an office whose required heat load is supplied by a hydronic heating system. MHE performance shows that its online estimations can be used along with model predictive control to improve output predictions.
Keywords Energy Models
Calibration
Uncertainty
Language English
Date 2016
Published in 2016 Ieee Conference On Control Applications (CCA). New york, p. 468-473, 2016.
ISSN 1085-1992 (Sherpa/Romeo, impact factor)
Publisher Hindawi Publishing Corp
Extent 468-473
Origin http://dx.doi.org/10.1109/CCA.2016.7587874
Access rights Closed access
Type Conference paper
Web of Science ID WOS:000386696600062
URI http://repositorio.unifesp.br/handle/11600/49368

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