Opportunities and Barriers of Calibrating Residential Building Performance Simulation Models Using Monitored and Survey-Based Occupant Behavioural Data: A Case Study in Northern Spain
dc.contributor.author | Arbulu Dudagoitia, Markel | |
dc.contributor.author | Pérez Bezos, Silvia | |
dc.contributor.author | Figueroa López, Anna | |
dc.contributor.author | Oregi Isasi, Xabat | |
dc.date.accessioned | 2024-08-01T08:15:32Z | |
dc.date.available | 2024-08-01T08:15:32Z | |
dc.date.issued | 2024-06-22 | |
dc.identifier.citation | Buildings 14(7) : (2024) // Article ID 1911 | es_ES |
dc.identifier.issn | 2075-5309 | |
dc.identifier.uri | http://hdl.handle.net/10810/69109 | |
dc.description.abstract | The performance gap caused by occupant behaviour (OB) is one of the main challenges to the accuracy of building performance simulations (BPS) models. Calibration of BPS models has shown great improvements in tertiary and single residential buildings. Nevertheless, the calibration in collective residential buildings is still uncertain. This study aims to identify the opportunities and barriers to the calibration of collective residential building BPS models for the analysis of heating energy consumption. For this, the research calibrates a real case study of a social rental housing building located in northern Spain. The method involves the adjustment of input data based on OB clusters, developed by monitorization and survey data and the statistical comparison of the results of normative models, calibrated models and real data. The results show an average improvement of 67% in hourly indoor temperature and 16% in hourly heating energy consumption in calibrated models, but still with a considerable performance gap. The main barriers to a higher accuracy are the wide diversity and lack of uniformity of OB patterns, uncertainty of parameters, and use of auxiliary heating systems. However, deeper monitorization and survey campaigns with the use of OB clusters can be a promising opportunity. | es_ES |
dc.description.sponsorship | The thesis of Silvia Perez-Bezos is funded by the Call for tender for a researcher training at the University of the Basque Country UPV/EHU 2019 (PIF19/139) and the thesis of Markel Arbulu is funded by the Predoctoral Training Programme for Non-Doctor Research Personnel of the Department of Education of the Basque Government (PRE_2022_2_0121). This research is also funded by the grants to support research groups of the university system of the Basque Government awarded to CAVIAR research group (GIC21/161). | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/es/ | |
dc.subject | building performance simulation | es_ES |
dc.subject | building energy modelling | es_ES |
dc.subject | calibration | es_ES |
dc.subject | occupant behaviour | es_ES |
dc.subject | residential building | es_ES |
dc.subject | social housing | es_ES |
dc.title | Opportunities and Barriers of Calibrating Residential Building Performance Simulation Models Using Monitored and Survey-Based Occupant Behavioural Data: A Case Study in Northern Spain | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.date.updated | 2024-07-26T12:29:23Z | |
dc.rights.holder | © 2024 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 (https://creativecommons.org/licenses/by/ 4.0/). | es_ES |
dc.relation.publisherversion | https://www.mdpi.com/2075-5309/14/7/1911 | es_ES |
dc.identifier.doi | 10.3390/buildings14071911 | |
dc.departamentoes | Arquitectura | |
dc.departamentoeu | Arkitektura |
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Except where otherwise noted, this item's license is described as © 2024 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 (https://creativecommons.org/licenses/by/ 4.0/).