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Daylight availability assessment and its potential energy saving estimation –A literature review

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  • Yu, Xu
  • Su, Yuehong

Abstract

Daylight has been recognized as a free energy and cost effective alternative to artificial lighting for sustainable building design. It could also provide a more pleasant and attractive indoor environment for its good color rendering and it matches the human visual response much better than artificial light source. The effects of daylight on the occupancy comfort, health, well-being and productivity are well acknowledged. However, despite the above advantages, daylight is not widely integrated with the artificial lighting in building design as there is lack of information and evaluation tools on the suitability of daylight and its energy saving potential. The procedure of evaluating the indoor daylight performance consists of two parts: one is to assess the indoor daylight availability by either simulation or field measurements; another one is to accurately estimate potential energy saving when sufficient daylight is provided. This paper therefore presents a review of metrics and methods for indoor daylight availability assessment, as well as estimation methods used for predicting potential energy saving from daylight. The aim of this paper is to provide building designers or operators some useful information so that more daylight schemes could be considered in sustainable building design.

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  • Yu, Xu & Su, Yuehong, 2015. "Daylight availability assessment and its potential energy saving estimation –A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 494-503.
    • Handle: RePEc:eee:rensus:v:52:y:2015:i:c:p:494-503
    DOI: 10.1016/j.rser.2015.07.142
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    References listed on IDEAS

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    7. Qiu, Changyu & Yi, Yun Kyu & Wang, Meng & Yang, Hongxing, 2020. "Coupling an artificial neuron network daylighting model and building energy simulation for vacuum photovoltaic glazing," Applied Energy, Elsevier, vol. 263(C).
    8. Zhang, Jiaolong & Li, Zhen & Wei, Yaxi & Hu, Dan, 2024. "Influences of the window size and reflectivity on surrounding thermal environment," Applied Energy, Elsevier, vol. 357(C).
    9. Yingling Shi & Xinping Liu, 2019. "Research on the Literature of Green Building Based on the Web of Science: A Scientometric Analysis in CiteSpace (2002–2018)," Sustainability, MDPI, vol. 11(13), pages 1-22, July.
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    13. Sara Eriksson & Lovisa Waldenström & Max Tillberg & Magnus Österbring & Angela Sasic Kalagasidis, 2019. "Numerical Simulations and Empirical Data for the Evaluation of Daylight Factors in Existing Buildings in Sweden," Energies, MDPI, vol. 12(11), pages 1-24, June.
    14. Bushra, Nayab, 2022. "A comprehensive analysis of parametric design approaches for solar integration with buildings: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    15. Zhai, Yingni & Wang, Yi & Huang, Yanqiu & Meng, Xiaojing, 2019. "A multi-objective optimization methodology for window design considering energy consumption, thermal environment and visual performance," Renewable Energy, Elsevier, vol. 134(C), pages 1190-1199.
    16. 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.
    17. Nataša Šprah & Mitja Košir, 2019. "Daylight Provision Requirements According to EN 17037 as a Restriction for Sustainable Urban Planning of Residential Developments," Sustainability, MDPI, vol. 12(1), pages 1-22, December.
    18. 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.
    19. Jack Ngarambe & Amina Irakoze & Geun Young Yun & Gon Kim, 2020. "Comparative Performance of Machine Learning Algorithms in the Prediction of Indoor Daylight Illuminances," Sustainability, MDPI, vol. 12(11), pages 1-22, June.
    20. Wang, Chuyao & Ji, Jie & Yu, Bendong & Zhang, Chengyan & Ke, Wei & Wang, Jun, 2022. "Comprehensive investigation on the luminous and energy-saving performance of the double-skin ventilated window integrated with CdTe cells," Energy, Elsevier, vol. 238(PB).
    21. Tettey, Uniben Yao Ayikoe & Dodoo, Ambrose & Gustavsson, Leif, 2016. "Primary energy implications of different design strategies for an apartment building," Energy, Elsevier, vol. 104(C), pages 132-148.
    22. Yue Ying & Mila Koeva & Monika Kuffer & Kwabena Obeng Asiama & Xia Li & Jaap Zevenbergen, 2020. "Making the Third Dimension (3D) Explicit in Hedonic Price Modelling: A Case Study of Xi’an, China," Land, MDPI, vol. 10(1), pages 1-26, December.
    23. Ye Liu & Wanjiang Wang & Zixiao Li & Junkang Song & Zhicheng Fang & Dongbing Pang & Yanhui Chen, 2023. "Daylighting Performance and Thermal Comfort Performance Analysis of West-Facing External Shading for School Office Buildings in Cold and Severe Cold Regions of China," Sustainability, MDPI, vol. 15(19), pages 1-27, October.

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