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Aspects and issues of daylighting assessment: A review study

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  • Galatioto, A.
  • Beccali, M.

Abstract

Proper assessment of indoor daylighting conditions can significantly reduce energy consumption due to artificial lighting and can improve indoor visual comfort. This paper gives a critical review of the fundamental aspects of daylighting indices with the aim to provide a broad overview of methods and indices available to assess daylighting from varying points of view. Assessments cover distribution, availability over time and in specific climatic contexts, uniformity in the space, visual comfort issues and the relations between each of these aspects and a proper building and lighting design. A special focus on the assessment of indoor spatial and temporal uniformity is given. An analysis of the application of daylighting design by researchers and designers according to several area of interest is also presented.

Suggested Citation

  • Galatioto, A. & Beccali, M., 2016. "Aspects and issues of daylighting assessment: A review study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 852-860.
    • Handle: RePEc:eee:rensus:v:66:y:2016:i:c:p:852-860
    DOI: 10.1016/j.rser.2016.08.018
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    Cited by:

    1. Kyung Sun Lee & Ki Jun Han & Jae Wook Lee, 2016. "Feasibility Study on Parametric Optimization of Daylighting in Building Shading Design," Sustainability, MDPI, vol. 8(12), pages 1-16, November.
    2. Xianfeng Huang & Shangyou Wei & Shangyu Zhu, 2020. "Study on Daylighting Optimization in the Exhibition Halls of Museums for Chinese Calligraphy and Painting Works," Energies, MDPI, vol. 13(1), pages 1-15, January.
    3. D’Oca, Simona & Hong, Tianzhen & Langevin, Jared, 2018. "The human dimensions of energy use in buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 731-742.
    4. Bonomolo, Marina & Zizzo, Gaetano & Ferrari, Simone & Beccali, Marco & Guarino, Stefania, 2021. "Empirical BAC factors method application to two real case studies in South Italy," Energy, Elsevier, vol. 236(C).
    5. Beccali, Marco & Ciulla, Giuseppina & Lo Brano, Valerio & Galatioto, Alessandra & Bonomolo, Marina, 2017. "Artificial neural network decision support tool for assessment of the energy performance and the refurbishment actions for the non-residential building stock in Southern Italy," Energy, Elsevier, vol. 137(C), pages 1201-1218.
    6. Galatioto, A. & Ciulla, G. & Ricciu, R., 2017. "An overview of energy retrofit actions feasibility on Italian historical buildings," Energy, Elsevier, vol. 137(C), pages 991-1000.
    7. Xianfeng Huang & Shangyu Zhu, 2021. "Optimization of Daylighting Pattern of Museum Sculpture Exhibition Hall," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    8. Jie Li & Qichao Ban & Xueming (Jimmy) Chen & Jiawei Yao, 2019. "Glazing Sizing in Large Atrium Buildings: A Perspective of Balancing Daylight Quantity and Visual Comfort," Energies, MDPI, vol. 12(4), pages 1-14, February.
    9. Karthick, A. & Kalidasa Murugavel, K. & Kalaivani, L., 2018. "Performance analysis of semitransparent photovoltaic module for skylights," Energy, Elsevier, vol. 162(C), pages 798-812.
    10. Ignacio Acosta & Miguel Ángel Campano & Samuel Domínguez-Amarillo & Carmen Muñoz, 2018. "Dynamic Daylight Metrics for Electricity Savings in Offices: Window Size and Climate Smart Lighting Management," Energies, MDPI, vol. 11(11), pages 1-27, November.
    11. Atthakorn Thongtha & Piromporn Boontham, 2020. "Experimental Investigation of Natural Lighting Systems Using Cylindrical Glass for Energy Saving in Buildings," Energies, MDPI, vol. 13(10), pages 1-12, May.
    12. Yunsong Han & Hong Yu & Cheng Sun, 2017. "Simulation-Based Multiobjective Optimization of Timber-Glass Residential Buildings in Severe Cold Regions," Sustainability, MDPI, vol. 9(12), pages 1-18, December.
    13. Wong, Ing Liang, 2017. "A review of daylighting design and implementation in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 959-968.

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