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Subjective and Simulation-Based Analysis of Discomfort Glare Metrics in Office Buildings with Light Shelf Systems

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  • Amir Faraji

    (Construction Project Management Department, Faculty of Architecture, KHATAM University, Tehran 1991633357, Iran
    School of Engineering, Design and Built Environment, Western Sydney University, Penrith, NSW 2751, Australia)

  • Fatemeh Rezaei

    (Architecture Department, Faculty of Art and Architecture, KHATAM University, Tehran 1991633357, Iran)

  • Payam Rahnamayiezekavat

    (School of Engineering, Design and Built Environment, Western Sydney University, Penrith, NSW 2751, Australia)

  • Maria Rashidi

    (School of Engineering, Design and Built Environment, Western Sydney University, Penrith, NSW 2751, Australia)

  • Hossein Soleimani

    (Construction & Building Management Department, KHATAM University, Tehran 1991633357, Iran)

Abstract

Glare is a kind of physiological phenomenon that influences occupants’ visual comfort. Discomfort glare scenes in comparison to other levels of glare have been difficult to estimate and need accurate and reliable metrics. In contemporary architecture, the glass façade is so popular since it can remarkably minimize energy consumption in buildings and maximize daylight utilization as a natural energy. However, it is necessary to consider occupants’ visual discomfort due to the daylighting glare risks during the initial stage of design. Since the measured glare metrics should have an acceptable correlation with the human subject data study, the agreement on the glare indices is complicated. This paper presents a comparison between subjective and simulation-based analysis of discomfort glare metrics in offices with a light shelf system. The discomfort glare metrics considered in this study include Daylight Glare Index (DGI), CIE Glare Index (CGI), Visual Comfort Probability (VCP), Unified Glare Rating (UGR), and Daylight Glare Probability (DGP). The parallel comparison was conducted by using simulation and questionnaire surveys to determine which criteria are more useful under different conditions. According to the findings, DGP yields the most reliable results in different levels of glare based on the subjective analysis and VCP has the lowest accuracy in each stage. UGR also has the highest accuracy rate for evaluating perceptible glare, DGI is applicable for assessing imperceptible glare, and CGI can be an acceptable index for approximating intolerable glare. The study results significantly reduce the complexity of the problem and can provide useful guidance for designers to select the most reliable glare metric based on climatic conditions.

Suggested Citation

  • Amir Faraji & Fatemeh Rezaei & Payam Rahnamayiezekavat & Maria Rashidi & Hossein Soleimani, 2023. "Subjective and Simulation-Based Analysis of Discomfort Glare Metrics in Office Buildings with Light Shelf Systems," Sustainability, MDPI, vol. 15(15), pages 1-21, August.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11885-:d:1208939
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    References listed on IDEAS

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    1. Taesub Lim & Woong Seog Yim & Daeung Danny Kim, 2020. "Evaluation of Daylight and Cooling Performance of Shading Devices in Residential Buildings in South Korea," Energies, MDPI, vol. 13(18), pages 1-14, September.
    2. Amirmasood Nakhaee Sharif & Sanaz Keshavarz Saleh & Sadegh Afzal & Niloofar Shoja Razavi & Mozhdeh Fadaei Nasab & Samireh Kadaei & Chun Wei, 2022. "Evaluating and Identifying Climatic Design Features in Traditional Iranian Architecture for Energy Saving (Case Study of Residential Architecture in Northwest of Iran)," Complexity, Hindawi, vol. 2022, pages 1-12, September.
    3. Silvia Ruggiero & Margarita-Niki Assimakopoulos & Rosa Francesca De Masi & Filippo de Rossi & Anastasia Fotopoulou & Dimitra Papadaki & Giuseppe Peter Vanoli & Annarita Ferrante, 2021. "Multi-Disciplinary Analysis of Light Shelves Application within a Student Dormitory Refurbishment," Sustainability, MDPI, vol. 13(15), pages 1-22, July.
    4. Al-Sallal, Khaled A., 2006. "Easing high brightness and contrast glare problems in universal space design studios in the UAE: Real models testing," Renewable Energy, Elsevier, vol. 31(5), pages 617-630.
    5. Pilechiha, Peiman & Mahdavinejad, Mohammadjavad & Pour Rahimian, Farzad & Carnemolla, Phillippa & Seyedzadeh, Saleh, 2020. "Multi-objective optimisation framework for designing office windows: quality of view, daylight and energy efficiency," Applied Energy, Elsevier, vol. 261(C).
    6. Heangwoo Lee, 2020. "A Basic Study on the Performance Evaluation of a Movable Light Shelf with a Rolling Reflector That Can Change Reflectivity to Improve the Visual Environment," IJERPH, MDPI, vol. 17(22), pages 1-19, November.
    7. Heangwoo Lee & Xiaolong Zhao & Janghoo Seo, 2021. "A Study of Optimal Specifications for Light Shelves with Photovoltaic Modules to Improve Indoor Comfort and Save Building Energy," IJERPH, MDPI, vol. 18(5), pages 1-24, March.
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