Identifications Of Models Based On Time Series From Field Measurements

GRANDJACQUES, Mathilde; DELINCHANT, Benoit; ADROT, Olivier; PRIEUR, Clementine; HELBERT, Celine

doi:https://doi.org/10.26868/25222708.2013.2107

Conference Paper

Proceedings of Building Simulation 2013: 13th Conference of IBPSA

Identifications Of Models Based On Time Series From Field Measurements

Mathilde GRANDJACQUES, Benoit DELINCHANT, Olivier ADROT, Clementine PRIEUR, Celine HELBERT

DOI: https://doi.org/10.26868/25222708.2013.2107
Abstract: To study the impact variations in input on output variation (Sobol index) of building model, a stochastic model (time series) of variables is introduced. To build the time series we used data measured in a building for each hour for a duration of one month. The external temperature does not appear directly in MODEL AND DATA DESCRIPTION A building is composed of a thermal envelope, electrical equipments which can consume or store energy and of users. Building can be modelled using state space representations: Auto-Regressive process we propose to model input, for example the heating flux, by an ARMAX process.
Pages: 3200 - 3207
Paper:

bs2013_2107

Proceedings of Building Simulation 2013: 13th Conference of IBPSA

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Identifications Of Models Based On Time Series From Field Measurements