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Monitoring System Analysis for Evaluating a Building’s Envelope Energy Performance through Estimation of Its Heat Loss Coefficient

1
ENEDI Research Group—Faculty of Engineering of Bilbao, University of Basque Country (UPV/EHU), Alameda Urquijo s/n, 48013 Bilbao, Spain
2
I2M—Institute of Mechanics and Engineering—University of Bordeaux CNRS (UMR 5295), site ENSAM, Esplanade des arts et métiers, 33400 Talence, France
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(7), 2360; https://doi.org/10.3390/s18072360
Received: 30 May 2018 / Revised: 28 June 2018 / Accepted: 10 July 2018 / Published: 20 July 2018
(This article belongs to the Special Issue Sensors for Fault Detection)
The present article investigates the question of building energy monitoring systems used for data collection to estimate the Heat Loss Coefficient (HLC) with existing methods, in order to determine the Thermal Envelope Performance (TEP) of a building. The data requirements of HLC estimation methods are related to commonly used methods for fault detection, calibration, and supervision of energy monitoring systems in buildings. Based on an extended review of experimental tests to estimate the HLC undertaken since 1978, qualitative and quantitative analyses of the Monitoring and Controlling System (MCS) specifications have been carried out. The results show that no Fault Detection and Diagnosis (FDD) methods have been implemented in the reviewed literature. Furthermore, it was not possible to identify a trend of technology type used in sensors, hardware, software, and communication protocols, because a high percentage of the reviewed experimental tests do not specify the model, technical characteristics, or selection criteria of the implemented MCSs. Although most actual Building Automation Systems (BAS) may measure the required parameters, further research is still needed to ensure that these data are accurate enough to rigorously apply HLC estimation methods. View Full-Text
Keywords: building energy monitoring system; Heat Loss Coefficient (HLC); fault sensor building energy monitoring system; Heat Loss Coefficient (HLC); fault sensor
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MDPI and ACS Style

Giraldo-Soto, C.; Erkoreka, A.; Mora, L.; Uriarte, I.; Del Portillo, L.A. Monitoring System Analysis for Evaluating a Building’s Envelope Energy Performance through Estimation of Its Heat Loss Coefficient. Sensors 2018, 18, 2360. https://doi.org/10.3390/s18072360

AMA Style

Giraldo-Soto C, Erkoreka A, Mora L, Uriarte I, Del Portillo LA. Monitoring System Analysis for Evaluating a Building’s Envelope Energy Performance through Estimation of Its Heat Loss Coefficient. Sensors. 2018; 18(7):2360. https://doi.org/10.3390/s18072360

Chicago/Turabian Style

Giraldo-Soto, Catalina; Erkoreka, Aitor; Mora, Laurent; Uriarte, Irati; Del Portillo, Luis A. 2018. "Monitoring System Analysis for Evaluating a Building’s Envelope Energy Performance through Estimation of Its Heat Loss Coefficient" Sensors 18, no. 7: 2360. https://doi.org/10.3390/s18072360

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