Articles producció científica> Enginyeria Mecànica

A real-time diagnostic tool for evaluating the thermal performance of nearly zero energy buildings

  • Dades identificatives

    Identificador: imarina:9138851
    Autors:
    Abokersh MHSpiekman MVijlbrief Ovan Goch TAJVallès MBoer D
    Resum:
    © 2020 Elsevier Ltd The nearly zero-energy buildings (nZEB) presents a promising contribution to fulfill the EU sustainable future targets. However, the construction industry that leads the development of nZEB is facing challenges to guarantee its performance. In this context, this paper proposes a methodology framework based on Multizone Resistance–Capacitance Model to trace the nZEB performance challenges with quantifications for the time-dependent variables comprising occupant behaviors as well as the dynamic behavior of weather conditions and building operations. This approach incorporates Bayesian optimization for calibration purposes to minimize the required monitoring data. Moreover, the proposed framework integrates the uncertainty analysis (UA) with two-step global sensitivity analysis (GSA) in order to quantify and assess the uncertainty associate with the performance of the developed digital dwelling. The methodology application is demonstrated through a case study for a newly renovated two-story dwelling located in a district of Emmen at the Netherlands. The results confirm a high accuracy for the digital dwelling performance where the model offers a prediction accuracy of 2.2% and 7.03% for the thermal energy consumption and indoor zone temperature, respectively. On the other hand, the UA confirms a high uncertainty associate with the nZEB performance where the total thermal energy consumption can increase up to 100 kWh/m2/yr. This variation is driven by the infiltration rates followed by the building envelope characteristics. The proposed framework can serve a diagnostic tool to assist the construction and installation companies to maintain the performance of their products proactively.
  • Altres:

    Autor segons l'article: Abokersh MH; Spiekman M; Vijlbrief O; van Goch TAJ; Vallès M; Boer D
    Departament: Enginyeria Mecànica
    Autor/s de la URV: Abokersh, Mohamed Hany Mohamed Basiuony / Boer, Dieter-Thomas / Vallès Rasquera, Joan Manel
    Paraules clau: Occupant behaviors Nearly zero energy building Monte carlo uncertainty analysis Global sensitivity analysis Building performance simulation Bayesian calibration
    Resum: © 2020 Elsevier Ltd The nearly zero-energy buildings (nZEB) presents a promising contribution to fulfill the EU sustainable future targets. However, the construction industry that leads the development of nZEB is facing challenges to guarantee its performance. In this context, this paper proposes a methodology framework based on Multizone Resistance–Capacitance Model to trace the nZEB performance challenges with quantifications for the time-dependent variables comprising occupant behaviors as well as the dynamic behavior of weather conditions and building operations. This approach incorporates Bayesian optimization for calibration purposes to minimize the required monitoring data. Moreover, the proposed framework integrates the uncertainty analysis (UA) with two-step global sensitivity analysis (GSA) in order to quantify and assess the uncertainty associate with the performance of the developed digital dwelling. The methodology application is demonstrated through a case study for a newly renovated two-story dwelling located in a district of Emmen at the Netherlands. The results confirm a high accuracy for the digital dwelling performance where the model offers a prediction accuracy of 2.2% and 7.03% for the thermal energy consumption and indoor zone temperature, respectively. On the other hand, the UA confirms a high uncertainty associate with the nZEB performance where the total thermal energy consumption can increase up to 100 kWh/m2/yr. This variation is driven by the infiltration rates followed by the building envelope characteristics. The proposed framework can serve a diagnostic tool to assist the construction and installation companies to maintain the performance of their products proactively.
    Àrees temàtiques: Renewable energy, sustainability and the environment Química Nuclear energy and engineering Mechanical engineering Materiais Matemática / probabilidade e estatística Management, monitoring, policy and law Interdisciplinar Geociências General energy Fuel technology Farmacia Engineering, chemical Engenharias iv Engenharias iii Engenharias ii Engenharias i Energy engineering and power technology Energy (miscellaneous) Energy (all) Energy & fuels Economia Civil and structural engineering Ciências biológicas iii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Building and construction Biotecnología Biodiversidade Arquitetura, urbanismo e design
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: dieter.boer@urv.cat manel.valles@urv.cat
    Identificador de l'autor: 0000-0002-5532-6409 0000-0002-0748-1287
    Data d'alta del registre: 2024-07-27
    Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
    Enllaç font original: https://www.sciencedirect.com/science/article/abs/pii/S0306261920315166
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referència a l'article segons font original: Applied Energy. 281 (116091):
    Referència de l'ítem segons les normes APA: Abokersh MH; Spiekman M; Vijlbrief O; van Goch TAJ; Vallès M; Boer D (2021). A real-time diagnostic tool for evaluating the thermal performance of nearly zero energy buildings. Applied Energy, 281(116091), -. DOI: 10.1016/j.apenergy.2020.116091
    DOI de l'article: 10.1016/j.apenergy.2020.116091
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2021
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Building and Construction,Civil and Structural Engineering,Energy & Fuels,Energy (Miscellaneous),Energy Engineering and Power Technology,Engineering, Chemical,Fuel Technology,Management, Monitoring, Policy and Law,Mechanical Engineering,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment
    Occupant behaviors
    Nearly zero energy building
    Monte carlo uncertainty analysis
    Global sensitivity analysis
    Building performance simulation
    Bayesian calibration
    Renewable energy, sustainability and the environment
    Química
    Nuclear energy and engineering
    Mechanical engineering
    Materiais
    Matemática / probabilidade e estatística
    Management, monitoring, policy and law
    Interdisciplinar
    Geociências
    General energy
    Fuel technology
    Farmacia
    Engineering, chemical
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Engenharias i
    Energy engineering and power technology
    Energy (miscellaneous)
    Energy (all)
    Energy & fuels
    Economia
    Civil and structural engineering
    Ciências biológicas iii
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Ciência de alimentos
    Ciência da computação
    Building and construction
    Biotecnología
    Biodiversidade
    Arquitetura, urbanismo e design
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