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The importance of interior daylight distribution in buildings on overall energy performance

Author

Listed:
  • Greenup, P
  • Bell, J.M
  • Moore, I

Abstract

Simulations of daylight distribution within a house show that there can be significant visual discomfort associated with specific sky conditions. Thermal models of the same building, which include simplified daylight calculations and which calculate annual energy performance of the building, do not reflect extreme visual discomfort and high thermal load associated with these sky conditions. These results illustrate the importance of more detailed interior daylight distribution calculations in assessing the thermal and visual comfort of a building, and in developing energy performance ratings for buildings. Some techniques for incorporating more detailed interior daylight distribution calculations in simplified thermal models are discussed.

Suggested Citation

  • Greenup, P & Bell, J.M & Moore, I, 2001. "The importance of interior daylight distribution in buildings on overall energy performance," Renewable Energy, Elsevier, vol. 22(1), pages 45-52.
    • Handle: RePEc:eee:renene:v:22:y:2001:i:1:p:45-52
    DOI: 10.1016/S0960-1481(00)00027-6
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    Citations

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    Cited by:

    1. Gago, E.J. & Muneer, T. & Knez, M. & Köster, H., 2015. "Natural light controls and guides in buildings. Energy saving for electrical lighting, reduction of cooling load," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1-13.
    2. Carlucci, Salvatore & Causone, Francesco & De Rosa, Francesco & Pagliano, Lorenzo, 2015. "A review of indices for assessing visual comfort with a view to their use in optimization processes to support building integrated design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 1016-1033.
    3. Janjai, S. & Prathumsit, J. & Buntoung, S. & Wattan, R. & Pattarapanitchai, S. & Masiri, I., 2014. "Modeling the luminous efficacy of direct and diffuse solar radiation using information on cloud, aerosol and water vapor in the tropics," Renewable Energy, Elsevier, vol. 66(C), pages 111-117.
    4. Chel, Arvind & Tiwari, G.N. & Chandra, Avinash, 2009. "A model for estimation of daylight factor for skylight: An experimental validation using pyramid shape skylight over vault roof mud-house in New Delhi (India)," Applied Energy, Elsevier, vol. 86(11), pages 2507-2519, November.
    5. Chel, Arvind & Tiwari, G.N. & Singh, H.N., 2010. "A modified model for estimation of daylight factor for skylight integrated with dome roof structure of mud-house in New Delhi (India)," Applied Energy, Elsevier, vol. 87(10), pages 3037-3050, October.
    6. Košir, Mitja & Iglič, Nataša & Kunič, Roman, 2018. "Optimisation of heating, cooling and lighting energy performance of modular buildings in respect to location’s climatic specifics," Renewable Energy, Elsevier, vol. 129(PA), pages 527-539.
    7. Ebrahimi-Moghadam, Amir & Ildarabadi, Paria & Aliakbari, Karim & Fadaee, Faramarz, 2020. "Sensitivity analysis and multi-objective optimization of energy consumption and thermal comfort by using interior light shelves in residential buildings," Renewable Energy, Elsevier, vol. 159(C), pages 736-755.
    8. Jenkins, David & Newborough, Marcus, 2007. "An approach for estimating the carbon emissions associated with office lighting with a daylight contribution," Applied Energy, Elsevier, vol. 84(6), pages 608-622, June.
    9. Vassiliades, Constantinos & Michael, Aimilios & Savvides, Andreas & Kalogirou, Soteris, 2018. "Improvement of passive behaviour of existing buildings through the integration of active solar energy systems," Energy, Elsevier, vol. 163(C), pages 1178-1192.
    10. 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.

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