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Monitoring systems analysis for building’s envelope energy performance evaluation

    1. [1] University of Bordeaux

      University of Bordeaux

      Arrondissement de Bordeaux, Francia

    2. [2] Universidade de Vigo

      Universidade de Vigo

      Vigo, España

    3. [3] ENEDI Research Group, Departament of Thermal Engineering, UPV/EHU
  • Localización: Disruption: 11º Congreso Europeo sobre Eficiencia Energética y Sostenibilidad en Arquitectura y Urbanismo – 4º Congreso Internacional de Construcción Avanzada: On line 1-2 Diciembre 2020 / Rufino Javier Hernández Minguillón (ed. lit.), 2020, ISBN 978-84-1319-308-3, págs. 151-166
  • Idioma: inglés
  • Títulos paralelos:
    • Análisis de sistemas de monitorización para la evaluación del comportamiento energético de la envolvente del edificio
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  • Resumen
    • Domotic System (DS) and Building Automation System (BAS) technologies do not have the design, precision and accuracy required to estimate the Heat Loss Coefficient (HLC) of in-use building envelopes. Currently, HLC value is being estimated through experimental tests using laboratory technologies for the Monitoring and Controlling System (MCS), being implemented with specific designs and conditions on new buildings and old buildings before and after retrofitting [1]. HLC could be an indicator of the Building’s Envelope Energy Performance (BEEP) for future Energy Performance Certification (EPC), being necessary to improve DS and BAS technologies in order the systems to have enough quality to permit to estimate HLC to know the BEEP in real time as accurately as possible. The importance of comparing EPCs issued before and after renewal is specified on Energy Performance of Building Directive 2010/31/EU [2] and in which remarks the importance of implementing a MCS to achieve quality assurance ([3],[4]). Considering all of the above, a research study of location, precision and accuracy of sensors has been carried out through the uncertainty analysis of indoor and outdoor temperature using inmotic technologies with technical characteristics of laboratory technologies in an experimental test of a tertiary building. The results allow knowing the importance of sensor accuracy, in which there is a discrepancy between the manufacturer accuracy and experimental accuracy of sensors, likewise show how the number and location of the MCS sensor has an impact on HLC uncertainty. All this allows designing a specific MCS with technology characteristics and layout distribution in order to have HLC value estimation with more precision and accuracy in order to guarantee that the HLC value is a reliable indicator to futures EPC.


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