Paper title:

Developing a Mathematical Model to Estimate the Intensity of the Global Radiation

DOI: https://doi.org/10.4316/JACSM.201601004
Published in: Issue 1, (Vol. 10) / 2016
Publishing date: 2016-04-14
Pages: 25-29
Author(s): CHUNPANG Poramate, LAOSUWAN Teerawong
Abstract. This research aimed to create an empirical mathematical model to estimate the average monthly of total daily radiation of the global radiation in the middle of northeast Thailand. The model showed the ratio of the monthly average of daily radiation on the radiation outside the Earth's atmosphere which contains cloud index: n, ozone: l, perceptible water: w, and visibility: VIS, where: the value of n came from the data from meteorological satellites MTSAT-2, the value of l came from the data from AURA satellite, the value of w was calculated from temperature and humidity of the air, and the value of VIS came from the measurements from meteorological stations. For testing the performance of the model, the researchers calculated the average monthly of total daily radiation intensity at Maha Sarakham, Roi Et, Khon Kaen and Kalasin provincial meteorological stations. Then, the results were compared with the measured values. The comparison showed that the results from the calculation and measurement are consistent in the good standing. The Root Mean Square Difference value (RMSD) of the monthly average of total daily radiation intensity was between 5.25 to 13.82%. On the other hand, the Mean Bias Difference value (MBD) was negative within the range of -0.99 to -13.47%
Keywords: Mathematical Model, Meteorological Satellites, Global Radiation.
References:

1. Schiermeier Q, Tollefson J, Scully T, Witze A, Morton O., Energy alternatives: electricity without carbon. Nature, 454:816-823, 2008.

2. Augustine, C., Nnabuchi, M.N., Relationship between Global Solar Radiation and Sunshine hours for Calabar, Port-Harcourt and Enugu, Nigeria. International Journal of Physical Sciences, 4(4): 182-188, 2009.

3. Agboola, O. P., Importance of Climate to Architectural Designs in Nigeria. Journal of Environmental Issues and Agricultural in Developing Countries, 3(1), 2011.

4. Ulfat, I, Ahmad, F, Siddiqui, I. Determination of Angstrom coefficient for the prediction of monthly average daily Global Solar Radiation Horizontal surface at Karachi, Pakistan. Kar. Univ. Jour. Sci. 33(1 & 2): 7-11, 2005.

5. El-Sebaii, A.A and Trebea, A.A., Estimation of global solar radiation on Horizontal surfaces over Egypt. Egypt.J. Solids, 28(1),2005.

6. Pattanasethanon S, Lertsatithanakorn C, Atthajari yakul S, Soponrpnnarit S., All sky modeling daylight availability and illuminance/irradiance on horizontal plane for Mahasarakham, Thailand. Energy conversion and Management,48(5):1601-1614, 2007.

7. Laosuwan, T., Chunpang, P., Sukkasena, S., Development of Robotic Aerial Remote Sensing System for Field Educational Purpose, International Journal of Geoinformatics, 7 (4): 21-27.2011.

8. Laosuwan, T., Pattanasethanon, S., Sa-ngiamvibool, W., Automated Cloud Detection of Satellite Imagery Using Spatial Modeler Language and ERDAS Macro Language. IETE Technical Review, 30: 183-90, 2013.

9. Laosuwan, T., and Uttaruk, P., Review of Methods and Potential Role of Remote Sensing for Forest Carbon Stock Measurement: A Pilot Project for REDD+, Thailand. International Journal of Geoinformatics. 9 (1):39-48, 2013.

10. Teerawong Laosuwan and Pornchai Uttaruk. 2014. Estimating Tree Biomass via Remote Sensing, MSAVI 2, and Fractional Cover Model. IETE Technical Review. 31 (5), pp 362-368.

11. Cano, D., Monget, J.M., Albuisson, M., Guillard, H., Regas, N., and Wald, L., A method for the determination of the global solar radiation from meteorological satellite data. Solar Energy, 37(1):31–39, 1986.

12. Janjai S., and Wattan, R., Development of a model for the estimation of photosynthetically active radiation from geostationary satellite data in a tropical environment. Remote Sensing of Environment. 115(7): 680–1693, 2011.

13. De Jong, R., Stewart, D.W., Estimating global solar radiation from common meteorological observations in western Canada. Can. J. Plant. Sci. 73, 509–518, 1993.

14. Ahmad, F., and Ulfat I., Empirical Model for the correlation of Monthly Average Daily Global Solar Radiation with hours of sunshine on a horizontal surface at Karachi, Pakistan. Turkish J., Physics, 28. 301-307, 2004.

15. Ulfat I., Ahmed F., Javed F., Usman A., and Kanwal F., 2008: Recital of Some Existing Sunshine-Based Models of Global Solar Radiation, Karachi University Journal of Science, 36, 2008.

16. Intikhab, Ulfat, Firos, Faiza, Asif, Estimation of Solar Energy Potential of Islamabad Pakistan, Proceeding of the Sharjah International Symposium Nuclear and Renweable Energies for the 21 Century, Sharjah, UAE, 2011.

Back to the journal content
Creative Commons License
This article is licensed under a
Creative Commons Attribution-ShareAlike 4.0 International License.
Home | Editorial Board | Author info | Archive | Contact
Copyright JACSM 2007-2024