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Optimization of window-to-wall ratio for buildings located in different climates: an IDA-Indoor Climate and Energy simulation study
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Building Engineering, Energy Systems and Sustainability Science, Energy Systems and Building Technology. Shahid Bahonar University of Kerman, Iran.ORCID iD: 0000-0003-1832-9827
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Building Engineering, Energy Systems and Sustainability Science, Energy Systems and Building Technology.ORCID iD: 0000-0002-4007-3074
Shahid Bahonar University of Kerman, Iran.ORCID iD: 0000-0003-1985-0112
2021 (English)In: Energies, E-ISSN 1996-1073, Vol. 14, no 7, article id 1974Article in journal (Refereed) Published
Abstract [en]

This study investigates different cases to obtain optimal Window-to-Wall ratio (WWR) in seven different climate conditions based on the Köppen–Geiger climate classification. The optimal WWR was decided based on the minimum amount of total energy use (total of cooling, heating, and lighting energy use) of a building model during a complete year. The impact of overhang and automatic blinds were assessed on the optimization of WWR for a building with integrated automatic lighting control. Moreover, three different windows with different U-values and features were employed in order to analyze their effect on the energy use and WWR of the building. IDA-Indoor Climate and Energy (IDA-ICE) was used to carry out the simulations. The software has been validated based on ASHRAE Standard 140. Based on each climate condition, orientation, employed window type, and comfort conditions, an optimal range with a specific combination of window with blind, overhang, or neither was found.

Place, publisher, year, edition, pages
MDPI , 2021. Vol. 14, no 7, article id 1974
Keywords [en]
window to wall ratio, building energy simulation, climate condition, thermal comfort analysis, IDA-ICE
National Category
Energy Engineering
Research subject
Sustainable Urban Development
Identifiers
URN: urn:nbn:se:hig:diva-35733DOI: 10.3390/en14071974ISI: 000638410700001Scopus ID: 2-s2.0-85106444286OAI: oai:DiVA.org:hig-35733DiVA, id: diva2:1547802
Available from: 2021-04-28 Created: 2021-04-28 Last updated: 2023-08-28Bibliographically approved

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Sayadi, SanaHayati, Abolfazl

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Citation style
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