International Journal of Sustainable and Green Energy

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Solar Radiation Estimation from the Measurement of Sunshine Hours over Southern Coastal Region, Bangladesh

Received: 25 February 2015    Accepted: 27 March 2015    Published: 02 April 2015
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Abstract

In this study,the global solar radiation over the southern coastal region of Bangladesh is estimated from the duration of relative sunshine hours. Five models are considered to estimate the solar irradiance. These models are modified form of classical Angstrom – Prescott regression equation. A quadratic logarithmic model, relating the relative solar radiation and the relative sunshine hours is proposed for southern coastal region of Bangladesh. NASA Surface Meteorology and Solar Energy (SSE)have record of solar radiation data all over the world, measured from satellite. As Bangladesh Meteorological Department or any other organization has no record of measured solar radiation data for the considered locations, the estimated solar irradiance from the proposed regression model is compared with the data recorded by NASA SSE. Also t – statistics is applied to the estimated results to determine whether or not they are statistically significant at a particular confidence level.

DOI 10.11648/j.ijrse.20150402.14
Published in International Journal of Sustainable and Green Energy (Volume 4, Issue 2, March 2015)
Page(s) 47-53
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Solar Radiation, Sunshine Hours, Coastal Region, Nonlinear Relation, Hybrid

References
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[5] M. R. Rieltveld, A new method for estimating the regression coefficients in the formula relating solar radiation to sunshine. Agr.Meteorol. vol - 19, pp243-252(1978).
[6] K. K. Gopinathan, A general formula for computing the coefficient of the correlation connecting global solar radiation to sunshine duration. Solar Energy, Vol. 41. No. 6, pp. 499-502. (1988)
[7] P. R. Benson, M. V. Paris, J. E. Serry and C. G. Justus, Estimation of daily and monthly direct, diffuse and global solar radiation from sunshine duration measurement , SolarEnergy, Vol. 32, No.4, pp:523-535(1984).
[8] H. Ogelman, A. Ecevit and E. Tasdemiroglu, A new method for estimating solar radiation from bright sunshine data. Solar Energy, Vol. 33, No.6, pp. 619-625, (1984)
[9] H R Ghosh, S M Ullah, S K Khadem, N C Bhowmik and M Hussain, Measurement and estimation of sunshine duration for Bangladesh. Renewable Energy Research Center, University of Dhaka, Bangladesh
[10] Debazit Datta, Bimal Kumar Datta, Empirical model for the estimation of global solar radiation in Dhaka, Bangladesh. International Journal of Research in Engineering and Technology, Volume: 02 Issue: 11, pp. 649-653.
[11] NASA Surface Meteorology and Solar Energy; accessed at 15 January 2015, fromhttps://eosweb.larc.nasa.gov/cgi-bin/sse/sse.cgi
[12] Guide to Meteorological Instruments and Method of Observation, accessed at 15 January 2015, availablehttp://www.wmo.int/pages/prog/gcos/documents/gruanmanuals/CIMO/CIMO_Guide-7th_Edition-2008.pdf
[13] A. Angstrom, Solar and terrestrial radiation, Quarterly Journal of the Royal Meteorological Society, vol. 50, no. 210, pp. 121-126, 1924
[14] J. A. Prescott, “Evaporation from water surface in relation to solar radiation,” Transactions of The Royal Society of South Australia, vol. 40, pp.114–118 (1940).
[15] Akinoglu BG, Ecevit A. Construction of a quadratic model using modified Angstrom coefficients to estimate global solar radiation. Solar Energy 1990, Vol. 45, pp. 85-92.
[16] Newland FJ. A study of solar radiation models for the coastal region of South China. Solar Energy 1989, Vol. 43(4), pp. 227-235.
[17] David B. Ampratwum, Atsu S.S. Dorvlo, Estimation of solar radiation from the number of sunshine hours, Applied Energy, Vol. 63 (1999), pp. 161-167
[18] Stone RJ, Improved statistical procedure for the evaluation of solar radiation models. Solar Energy 1993, Vol.51, pp. 289 – 291
[19] B.G. Akinoblu andA. Ecevit, A further comparison and discussion of sunshine-based models to estimate global solar radiation. Energy, Vol. 15, No.10, pp. 865-872, 1990
[20] Srivastava SK, Sinoh OP, Pandy GN, Estimation of global solar radiation in Uttar Pradesh (India) and comparison of some existing correlations. Solar Energy (1993), Vol. 51, pp. 27 – 29.
Author Information
  • Department of Electrical and Electronic Engineering, Bangladesh University ofEngineering and Technology, Dhaka, Bangladesh

  • Department of Electrical and Electronic Engineering,Shahjalal University of Science and Technology, Sylhet, Bangladesh

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  • APA Style

    Shuvankar Podder, Md. Minarul Islam. (2015). Solar Radiation Estimation from the Measurement of Sunshine Hours over Southern Coastal Region, Bangladesh. International Journal of Sustainable and Green Energy, 4(2), 47-53. https://doi.org/10.11648/j.ijrse.20150402.14

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    ACS Style

    Shuvankar Podder; Md. Minarul Islam. Solar Radiation Estimation from the Measurement of Sunshine Hours over Southern Coastal Region, Bangladesh. Int. J. Sustain. Green Energy 2015, 4(2), 47-53. doi: 10.11648/j.ijrse.20150402.14

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    AMA Style

    Shuvankar Podder, Md. Minarul Islam. Solar Radiation Estimation from the Measurement of Sunshine Hours over Southern Coastal Region, Bangladesh. Int J Sustain Green Energy. 2015;4(2):47-53. doi: 10.11648/j.ijrse.20150402.14

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  • @article{10.11648/j.ijrse.20150402.14,
      author = {Shuvankar Podder and Md. Minarul Islam},
      title = {Solar Radiation Estimation from the Measurement of Sunshine Hours over Southern Coastal Region, Bangladesh},
      journal = {International Journal of Sustainable and Green Energy},
      volume = {4},
      number = {2},
      pages = {47-53},
      doi = {10.11648/j.ijrse.20150402.14},
      url = {https://doi.org/10.11648/j.ijrse.20150402.14},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijrse.20150402.14},
      abstract = {In this study,the global solar radiation over the southern coastal region of Bangladesh is estimated from the duration of relative sunshine hours. Five models are considered to estimate the solar irradiance. These models are modified form of classical Angstrom – Prescott regression equation. A quadratic logarithmic model, relating the relative solar radiation and the relative sunshine hours is proposed for southern coastal region of Bangladesh. NASA Surface Meteorology and Solar Energy (SSE)have record of solar radiation data all over the world, measured from satellite. As Bangladesh Meteorological Department or any other organization has no record of measured solar radiation data for the considered locations, the estimated solar irradiance from the proposed regression model is compared with the data recorded by NASA SSE. Also t – statistics is applied to the estimated results to determine whether or not they are statistically significant at a particular confidence level.},
     year = {2015}
    }
    

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    AU  - Shuvankar Podder
    AU  - Md. Minarul Islam
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    JF  - International Journal of Sustainable and Green Energy
    JO  - International Journal of Sustainable and Green Energy
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    AB  - In this study,the global solar radiation over the southern coastal region of Bangladesh is estimated from the duration of relative sunshine hours. Five models are considered to estimate the solar irradiance. These models are modified form of classical Angstrom – Prescott regression equation. A quadratic logarithmic model, relating the relative solar radiation and the relative sunshine hours is proposed for southern coastal region of Bangladesh. NASA Surface Meteorology and Solar Energy (SSE)have record of solar radiation data all over the world, measured from satellite. As Bangladesh Meteorological Department or any other organization has no record of measured solar radiation data for the considered locations, the estimated solar irradiance from the proposed regression model is compared with the data recorded by NASA SSE. Also t – statistics is applied to the estimated results to determine whether or not they are statistically significant at a particular confidence level.
    VL  - 4
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