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Main Authors: Tohidi, Seyed Shahabaldin, Cali, Davide, Tamm, Meril, Ortiz Ferrà, Joana Aina, Salom, Jaume, Madsen, Henrik
Format: Recurso digital
Language:English
Published: Zenodo 2022
Online Access:https://doi.org/10.1051/e3sconf/202236212002
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author Tohidi, Seyed Shahabaldin
Cali, Davide
Tamm, Meril
Ortiz Ferrà, Joana Aina
Salom, Jaume
Madsen, Henrik
author_facet Tohidi, Seyed Shahabaldin
Cali, Davide
Tamm, Meril
Ortiz Ferrà, Joana Aina
Salom, Jaume
Madsen, Henrik
contents <p>Identifying the parameters of grey-box models requires enough data collected from sensors installed inside and outside of the building for long enough period of time.<br>Consequently, this process is time consuming, costly especially in large buildings that require more sensors, and can only be conducted after the building is constructed.<br>This paper introduces a procedure for identifying greybox models from white-box models. Following this procedure, grey-box models can be identified using data generated by a white-box model, without any requirement for mounting sensors in a building. This reduces the cost and time of modelling, control design and prediction. The introduced procedure is utilized to find a grey-box model of the heat dynamics of a four-floor building in Spain. Simulation results demonstrate the effectiveness of this procedure.</p>
format Recurso digital
id zenodo_https___doi_org_10_1051_e3sconf_202236212002
institution Zenodo
language eng
publishDate 2022
publisher Zenodo
record_format zenodo
spellingShingle From white-box to grey-box modelling of the heat dynamics of buildings
Tohidi, Seyed Shahabaldin
Cali, Davide
Tamm, Meril
Ortiz Ferrà, Joana Aina
Salom, Jaume
Madsen, Henrik
<p>Identifying the parameters of grey-box models requires enough data collected from sensors installed inside and outside of the building for long enough period of time.<br>Consequently, this process is time consuming, costly especially in large buildings that require more sensors, and can only be conducted after the building is constructed.<br>This paper introduces a procedure for identifying greybox models from white-box models. Following this procedure, grey-box models can be identified using data generated by a white-box model, without any requirement for mounting sensors in a building. This reduces the cost and time of modelling, control design and prediction. The introduced procedure is utilized to find a grey-box model of the heat dynamics of a four-floor building in Spain. Simulation results demonstrate the effectiveness of this procedure.</p>
title From white-box to grey-box modelling of the heat dynamics of buildings
url https://doi.org/10.1051/e3sconf/202236212002