Author, as appears in the article.: Abokersh MH; Spiekman M; Vijlbrief O; van Goch TAJ; Vallès M; Boer D
Department: Enginyeria Mecànica
URV's Author/s: Abokersh, Mohamed Hany Mohamed Basiuony / Boer, Dieter-Thomas / Vallès Rasquera, Joan Manel
Keywords: Occupant behaviors Nearly zero energy building Monte carlo uncertainty analysis Global sensitivity analysis Building performance simulation Bayesian calibration
Abstract: © 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.
Thematic Areas: 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
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: dieter.boer@urv.cat manel.valles@urv.cat
Author identifier: 0000-0002-5532-6409 0000-0002-0748-1287
Record's date: 2024-07-27
Papper version: info:eu-repo/semantics/acceptedVersion
Link to the original source: https://www.sciencedirect.com/science/article/abs/pii/S0306261920315166
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Applied Energy. 281 (116091):
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
Article's DOI: 10.1016/j.apenergy.2020.116091
Entity: Universitat Rovira i Virgili
Journal publication year: 2021
Publication Type: Journal Publications
Repositori URV