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Empirical and Comparative Validation for a Building Energy Model Calibration Methodology

The digital world is spreading to all sectors of the economy, and Industry 4.0, with the digital twin, is a reality in the building sector. Energy reduction and decarbonization in buildings are urgently required. Models are the base for prediction and preparedness for uncertainty. Building energy mo...

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Detalles Bibliográficos
Autores principales: Gutiérrez González, Vicente, Ramos Ruiz, Germán, Fernández Bandera, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506729/
https://www.ncbi.nlm.nih.gov/pubmed/32899314
http://dx.doi.org/10.3390/s20175003
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author Gutiérrez González, Vicente
Ramos Ruiz, Germán
Fernández Bandera, Carlos
author_facet Gutiérrez González, Vicente
Ramos Ruiz, Germán
Fernández Bandera, Carlos
author_sort Gutiérrez González, Vicente
collection PubMed
description The digital world is spreading to all sectors of the economy, and Industry 4.0, with the digital twin, is a reality in the building sector. Energy reduction and decarbonization in buildings are urgently required. Models are the base for prediction and preparedness for uncertainty. Building energy models have been a growing field for a long time. This paper proposes a novel calibration methodology for a building energy model based on two pillars: simplicity, because there is an important reduction in the number of parameters (four) to be adjusted, and cost-effectiveness, because the methodology minimizes the number of sensors provided to perform the process by 47.5%. The new methodology was validated empirically and comparatively based on a previous work carried out in Annex 58 of the International Energy Agency (IEA). The use of a tested and structured experiment adds value to the results obtained.
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spelling pubmed-75067292020-09-26 Empirical and Comparative Validation for a Building Energy Model Calibration Methodology Gutiérrez González, Vicente Ramos Ruiz, Germán Fernández Bandera, Carlos Sensors (Basel) Article The digital world is spreading to all sectors of the economy, and Industry 4.0, with the digital twin, is a reality in the building sector. Energy reduction and decarbonization in buildings are urgently required. Models are the base for prediction and preparedness for uncertainty. Building energy models have been a growing field for a long time. This paper proposes a novel calibration methodology for a building energy model based on two pillars: simplicity, because there is an important reduction in the number of parameters (four) to be adjusted, and cost-effectiveness, because the methodology minimizes the number of sensors provided to perform the process by 47.5%. The new methodology was validated empirically and comparatively based on a previous work carried out in Annex 58 of the International Energy Agency (IEA). The use of a tested and structured experiment adds value to the results obtained. MDPI 2020-09-03 /pmc/articles/PMC7506729/ /pubmed/32899314 http://dx.doi.org/10.3390/s20175003 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gutiérrez González, Vicente
Ramos Ruiz, Germán
Fernández Bandera, Carlos
Empirical and Comparative Validation for a Building Energy Model Calibration Methodology
title Empirical and Comparative Validation for a Building Energy Model Calibration Methodology
title_full Empirical and Comparative Validation for a Building Energy Model Calibration Methodology
title_fullStr Empirical and Comparative Validation for a Building Energy Model Calibration Methodology
title_full_unstemmed Empirical and Comparative Validation for a Building Energy Model Calibration Methodology
title_short Empirical and Comparative Validation for a Building Energy Model Calibration Methodology
title_sort empirical and comparative validation for a building energy model calibration methodology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506729/
https://www.ncbi.nlm.nih.gov/pubmed/32899314
http://dx.doi.org/10.3390/s20175003
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