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Open AccessArticle

Impact of Actual Weather Datasets for Calibrating White-Box Building Energy Models Base on Monitored Data

School of Architecture, University of Navarra, 31009 Pamplona, Spain
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Academic Editor: Roberto Alonso González Lezcano
Energies 2021, 14(4), 1187; https://doi.org/10.3390/en14041187
Received: 23 December 2020 / Revised: 4 February 2021 / Accepted: 6 February 2021 / Published: 23 February 2021
(This article belongs to the Special Issue Energy Efficiency and Indoor Environment Quality)
The need to reduce energy consumption in buildings is an urgent task. Increasing the use of calibrated building energy models (BEM) could accelerate this need. The calibration process of these models is a highly under-determined problem that normally yields multiple solutions. Among the uncertainties of calibration, the weather file has a primary position. The objective of this paper is to provide a methodology for selecting the optimal weather file when an on-site weather station with local sensors is available and what is the alternative option when it is not and a mathematically evaluation has to be done with sensors from nearby stations (third-party providers). We provide a quality assessment of models based on the Coefficient of Variation of the Root Mean Square Error (CV(RMSE)) and the Square Pearson Correlation Coefficient (R2). The research was developed on a control experiment conducted by Annex 58 and a previous calibration study. This is based on the results obtained with the study case based on the data provided by their N2 house. View Full-Text
Keywords: weather data; calibration; sensors; energy simulation; sensors saving; methodology; Building Energy Models (BEMs) weather data; calibration; sensors; energy simulation; sensors saving; methodology; Building Energy Models (BEMs)
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MDPI and ACS Style

Gutiérrez González, V.; Ramos Ruiz, G.; Fernández Bandera, C. Impact of Actual Weather Datasets for Calibrating White-Box Building Energy Models Base on Monitored Data. Energies 2021, 14, 1187. https://doi.org/10.3390/en14041187

AMA Style

Gutiérrez González V, Ramos Ruiz G, Fernández Bandera C. Impact of Actual Weather Datasets for Calibrating White-Box Building Energy Models Base on Monitored Data. Energies. 2021; 14(4):1187. https://doi.org/10.3390/en14041187

Chicago/Turabian Style

Gutiérrez González, Vicente; Ramos Ruiz, Germán; Fernández Bandera, Carlos. 2021. "Impact of Actual Weather Datasets for Calibrating White-Box Building Energy Models Base on Monitored Data" Energies 14, no. 4: 1187. https://doi.org/10.3390/en14041187

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