IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v32y2007i8p1328-1345.html
   My bibliography  Save this article

Distributions of sky luminance and radiance of North Bangkok under standard distributions

Author

Listed:
  • Chirarattananon, Surapong
  • Chaiwiwatworakul, Pipat

Abstract

In the tropics, the sky is luminous and variable. Distribution of luminance over the sky dome is non-uniform and varies widely and dynamically with weather condition. The high luminosity offers good potential for daylighting, but an understanding of the luminance distribution of tropical sky would help advance the movement for daylighting. This paper reports results of a characterization of sky luminance and radiance under the standard sky luminance patterns proposed by Kittler using measurements from a station located north of Bangkok. In accordance to the standard sky luminance classification, the sky patterns of north Bangkok mostly fall into clear and intermediate types. During cooler months, the sky is clear for over 60% of the time. In the midst of the rainy season, the sky falls into the intermediate category for over 40% of the time. The high incidence of clear sky on this classification differs from earlier results that use sky ratio and Perez's clearness indices in the classification of sky condition.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:32:y:2007:i:8:p:1328-1345
    DOI: 10.1016/j.renene.2006.06.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148106001303
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2006.06.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chirarattananon, Surapong & Chaiwiwatworakul, Pipat & Pattanasethanon, Singthong, 2002. "Daylight availability and models for global and diffuse horizontal illuminance and irradiance for Bangkok," Renewable Energy, Elsevier, vol. 26(1), pages 69-89.
    2. 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.
    3. Muneer, T. & Kinghorn, D., 1998. "Solar irradiance & daylight illuminance data for the United Kingdom and Japan," Renewable Energy, Elsevier, vol. 15(1), pages 318-324.
    4. Li, Danny H. W. & Lau, Chris C. S. & Lam, Joseph C., 2001. "Evaluation of overcast-sky luminance models against measured Hong Kong data," Applied Energy, Elsevier, vol. 70(4), pages 321-331, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Su-In Yun & Kang-Soo Kim, 2018. "Sky Luminance Measurements Using CCD Camera and Comparisons with Calculation Models for Predicting Indoor Illuminance," Sustainability, MDPI, vol. 10(5), pages 1-29, May.
    2. Janjai, Serm & Plaon, Piyanuch, 2011. "Estimation of sky luminance in the tropics using artificial neural networks: Modeling and performance comparison with the CIE model," Applied Energy, Elsevier, vol. 88(3), pages 840-847, March.
    3. De Rosa, A. & Ferraro, V. & Kaliakatsos, D. & Marinelli, V., 2010. "Calculating indoor natural illuminance in overcast sky conditions," Applied Energy, Elsevier, vol. 87(3), pages 806-813, March.
    4. Ferraro, V. & Mele, M. & Marinelli, V., 2012. "Analysis of sky luminance experimental data and comparison with calculation methods," Energy, Elsevier, vol. 37(1), pages 287-298.
    5. Li, Danny H.W. & Lam, Tony N.T. & Cheung, K.L. & Tang, H.L., 2008. "An analysis of luminous efficacies under the CIE standard skies," Renewable Energy, Elsevier, vol. 33(11), pages 2357-2365.
    6. Mettanant, Vichuda & Chaiwiwatworakul, Pipat & Chirarattananon, Surapong, 2017. "A model of Thai’s sky luminance distribution based on reduced CIE standard sky types," Renewable Energy, Elsevier, vol. 103(C), pages 739-749.
    7. Chul-Ho Kim & Kang-Soo Kim, 2019. "Development of Sky Luminance and Daylight Illuminance Prediction Methods for Lighting Energy Saving in Office Buildings," Energies, MDPI, vol. 12(4), pages 1-37, February.
    8. Ferraro, V. & Igawa, N. & Marinelli, V., 2010. "INLUX-DBR – A calculation code to calculate indoor natural illuminance inside buildings under various sky conditions," Energy, Elsevier, vol. 35(9), pages 3722-3730.
    9. Chaiwiwatworakul, Pipat & Chirarattananon, Surapong, 2013. "Luminous efficacies of global and diffuse horizontal irradiances in a tropical region," Renewable Energy, Elsevier, vol. 53(C), pages 148-158.
    10. Li, Danny H.W. & Chau, T.C. & Wan, Kevin K.W., 2014. "A review of the CIE general sky classification approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 563-574.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Danny H.W., 2010. "A review of daylight illuminance determinations and energy implications," Applied Energy, Elsevier, vol. 87(7), pages 2109-2118, July.
    2. 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.
    3. Mettanant, Vichuda & Chaiwiwatworakul, Pipat & Chirarattananon, Surapong, 2017. "A model of Thai’s sky luminance distribution based on reduced CIE standard sky types," Renewable Energy, Elsevier, vol. 103(C), pages 739-749.
    4. Han, Shulun & Sun, Yuying & Wang, Wei & Xu, Wenjing & Wei, Wenzhe, 2023. "Optimal design method for electrochromic window split-pane configuration to enhance building energy efficiency," Renewable Energy, Elsevier, vol. 219(P1).
    5. Alrubaih, M.S. & Zain, M.F.M. & Alghoul, M.A. & Ibrahim, N.L.N. & Shameri, M.A. & Elayeb, Omkalthum, 2013. "Research and development on aspects of daylighting fundamentals," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 494-505.
    6. Li, Danny H.W. & Lou, Siwei, 2018. "Review of solar irradiance and daylight illuminance modeling and sky classification," Renewable Energy, Elsevier, vol. 126(C), pages 445-453.
    7. Das, Aparna & Paul, Saikat Kumar, 2015. "Artificial illumination during daytime in residential buildings: Factors, energy implications and future predictions," Applied Energy, Elsevier, vol. 158(C), pages 65-85.
    8. Petržala, J. & Kómar, L. & Kocifaj, M., 2017. "An advanced clear-sky model for more accurate irradiance and illuminance predictions for arbitrarily oriented inclined surfaces," Renewable Energy, Elsevier, vol. 106(C), pages 212-221.
    9. Jiraphorn Mahawan & Atthakorn Thongtha, 2021. "Experimental Investigation of Illumination Performance of Hollow Light Pipe for Energy Consumption Reduction in Buildings," Energies, MDPI, vol. 14(2), pages 1-17, January.
    10. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    11. 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.
    12. 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.
    13. Li, Danny H.W. & Chau, T.C. & Wan, Kevin K.W., 2014. "A review of the CIE general sky classification approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 563-574.
    14. Mangkuto, Rizki A. & Rohmah, Mardliyahtur & Asri, Anindya Dian, 2016. "Design optimisation for window size, orientation, and wall reflectance with regard to various daylight metrics and lighting energy demand: A case study of buildings in the tropics," Applied Energy, Elsevier, vol. 164(C), pages 211-219.
    15. Ferraro, V. & Mele, M. & Marinelli, V., 2012. "Analysis of sky luminance experimental data and comparison with calculation methods," Energy, Elsevier, vol. 37(1), pages 287-298.
    16. De Rosa, A. & Ferraro, V. & Kaliakatsos, D. & Marinelli, V., 2010. "Calculating indoor natural illuminance in overcast sky conditions," Applied Energy, Elsevier, vol. 87(3), pages 806-813, March.
    17. 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.
    18. Ferraro, V. & Igawa, N. & Marinelli, V., 2010. "INLUX-DBR – A calculation code to calculate indoor natural illuminance inside buildings under various sky conditions," Energy, Elsevier, vol. 35(9), pages 3722-3730.
    19. Acosta, Ignacio & Navarro, Jaime & Sendra, Juan José, 2014. "Lighting design in courtyards: Predictive method of daylight factors under overcast sky conditions," Renewable Energy, Elsevier, vol. 71(C), pages 243-254.
    20. Mehdi Chihib & Esther Salmerón-Manzano & Mimoun Chourak & Alberto-Jesus Perea-Moreno & Francisco Manzano-Agugliaro, 2021. "Impact of the COVID-19 Pandemic on the Energy Use at the University of Almeria (Spain)," Sustainability, MDPI, vol. 13(11), pages 1-21, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:32:y:2007:i:8:p:1328-1345. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.