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A model of Thai’s sky luminance distribution based on reduced CIE standard sky types

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  • Mettanant, Vichuda
  • Chaiwiwatworakul, Pipat
  • Chirarattananon, Surapong

Abstract

In this study, a method is used to develop a model for estimating luminance distributions of Thai’s sky. From the sky characterization, five out of the fifteen CIE standard skies are selected for the distribution estimation. This selection represents the minimum sky types that best fit to the distribution records of Bangkok (Thailand) and cover three sky conditions of clear, partly cloudy, and overcast. The developed model uses the five standard skies each to estimate prevailing luminance distributions within a particular range of insolation condition defined by lower and upper limit values of Perez’s clearness (ε) and sky brightness (Δ). In this scheme, a stochastic search technique of evolutionary computation was applied to optimize limit values for an accurate sky classification. Equations of optimal limit values were also formulated as part of the method. From the comparative evaluation with other sky models (i.e. Perez’s model, ASRC-CIE model, Harrison’s model, CIE-Si model, and Igawa’s all-sky model), the proposed model offers an alternative option for generating luminance distribution of Thai’s sky.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:103:y:2017:i:c:p:739-749
    DOI: 10.1016/j.renene.2016.11.008
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    References listed on IDEAS

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    1. Markou, M.T. & Kambezidis, H.D. & Bartzokas, A. & Katsoulis, B.D. & Muneer, T., 2005. "Sky type classification in Central England during winter," Energy, Elsevier, vol. 30(9), pages 1667-1674.
    2. 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.
    3. 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.
    4. Kocifaj, Miroslav & Kómar, Ladislav, 2016. "Modeling diffuse irradiance under arbitrary and homogeneous skies: Comparison and validation," Applied Energy, Elsevier, vol. 166(C), pages 117-127.
    5. 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.
    6. 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.
    7. 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.
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    2. Yao, Wanxiang & Song, Mengjia & Huang, Yu & Xu, Puyan & Li, Xianli & Su, Gang & Gao, Weijun, 2024. "A new anisotropic solar radiation model based on the principle of photothermal integration," Renewable Energy, Elsevier, vol. 226(C).

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