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The availability of daylight from tropical skies—a case study of Malaysia

Author

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  • Zain-Ahmed, A.
  • Sopian, K.
  • Zainol Abidin, Z.
  • Othman, M.Y.H.

Abstract

In Malaysia, no long-term daylight data are measured. It was only recently that the need to measure the availability of daylight became urgent when the importance of daylighting in buildings was rediscovered. The hourly daylight availability has been simulated for the Malaysian sky using daylight modelling techniques based on empirical and measured solar irradiation and cloud cover data. This paper presents the techniques involved in producing exterior illuminance data. These data were then compared with measured illuminance at Shah Alam and Bangi, Malaysia. The global illuminance levels are generally high, with values exceeding 80,000 lux at noon during the months when solar irradiation is highest. Even during the months when the ground receives less solar irradiation, the peak illuminance can reach 60,000 lux. Applications and uses of such data are in daylighting design, both for visual and thermal comfort, task illuminance and energy-conscious design of buildings. Recommendations are made at the end of the paper on the various climatic data that are required to be measured for overall daylighting design applications.

Suggested Citation

  • Zain-Ahmed, A. & Sopian, K. & Zainol Abidin, Z. & Othman, M.Y.H., 2002. "The availability of daylight from tropical skies—a case study of Malaysia," Renewable Energy, Elsevier, vol. 25(1), pages 21-30.
  • Handle: RePEc:eee:renene:v:25:y:2002:i:1:p:21-30
    DOI: 10.1016/S0960-1481(00)00209-3
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    Citations

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    Cited by:

    1. Chirarattananon, Surapong & Chaiwiwatworakul, Pipat, 2007. "Distributions of sky luminance and radiance of North Bangkok under standard distributions," Renewable Energy, Elsevier, vol. 32(8), pages 1328-1345.
    2. Barbón, A. & Sánchez-Rodríguez, J.A. & Bayón, L. & Barbón, N., 2018. "Development of a fiber daylighting system based on a small scale linear Fresnel reflector: Theoretical elements," Applied Energy, Elsevier, vol. 212(C), pages 733-745.
    3. Singh, M.C. & Garg, S.N., 2010. "Illuminance estimation and daylighting energy savings for Indian regions," Renewable Energy, Elsevier, vol. 35(3), pages 703-711.
    4. Ishaque, Kashif & Salam, Zainal & Shamsudin, Amir & Amjad, Muhammad, 2012. "A direct control based maximum power point tracking method for photovoltaic system under partial shading conditions using particle swarm optimization algorithm," Applied Energy, Elsevier, vol. 99(C), pages 414-422.
    5. Janjai, S & Jantarach, T & Laksanaboonsong, J, 2003. "A model for calculating global illuminance from satellite data," Renewable Energy, Elsevier, vol. 28(15), pages 2355-2365.
    6. Nasrollahi, Nazanin & Shokri, Elham, 2016. "Daylight illuminance in urban environments for visual comfort and energy performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 861-874.
    7. Djamila, Harimi & Ming, Chu Chi & Kumaresan, Sivakumar, 2011. "Estimation of exterior vertical daylight for the humid tropic of Kota Kinabalu city in East Malaysia," Renewable Energy, Elsevier, vol. 36(1), pages 9-15.

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