Performance evaluation of existing sunshine-based computing models for estimating global solar radiation at Lagos, Nigeria

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    Several empirical models have been fitted in literature for estimating global solar radiation across the globe in order to produce global solar radiation data and also as a baseline for further scientific and environmental research without the substantial cost of instrumental network that would otherwise be needed. However, peers and researchers have reported that the most commonly employed parameter for predicting global solar radiation is sunshine duration as a result of its availability and simplicity in course of measurement globally. In this research, the author considered the performance of 63 sunshine-based models for the prediction of global solar radiation at Lagos, Nigeria. Numerous models are found unreliable for use in this location, and others vary in performance. On the whole, the best model was identified due to its values of statistical indicators.


  • Keywords


    Global Solar Radiation; Sunshine Based Models; Statistical Indicators; Tropical Rainforest Zone; Lagos.

  • References


      [1] Khorasanizadeh H, Mohammadi. Diffuse solar radiation on a horizontal surface: Reviewing and categorizing the empirical models. Renewable and Sustaining Energy Reviews, 2016, 53: 338-362. https://doi.org/10.1016/j.rser.2015.08.037.

      [2] Thirugnanasasambandam M, Iniyan S, Goic A. A review of solar thermal technologies. Renewable and Sustainable Energy Reviews, 2010, 14: 312-322. https://doi.org/10.1016/j.rser.2009.07.014.

      [3] Ullah KR, Saidur R, Ping HW, Akikur RK, Shuvo NH. A review of solar thermal refrigeration and cooling methods. Renewable and Sustainable Energy Review, 2013, 24: 499-513. https://doi.org/10.1016/j.rser.2013.03.024.

      [4] Besharat F, Dehghan A, Faghih AR. Empirical models for estimating global solar radiation: A review and case study. Renewable and Sustainable Energy Review, 2013, 21: 798-821. https://doi.org/10.1016/j.rser.2012.12.043.

      [5] Yaniktepe B, Gene YA. Estimating new model for predicting the global solar radiation on horizontal surface. International Journal of Hydrogen, 2015, 40: 15278-15283. https://doi.org/10.1016/j.ijhydene.2015.02.064.

      [6] Li H, Bu X, Long Z, Zhao L, Ma W. Calculating the diffuse solar radiation in regions without solar radiation measurements. Energy, 2012, 44: 611-615. https://doi.org/10.1016/j.energy.2012.05.033.

      [7] Muneer T, Munawwar S. Improved accuracy models for hourly diffuse solar radiation. Journal of Solar Energy Engineering, 2006, 128: 104-117. https://doi.org/10.1115/1.2148972.

      [8] Ertekin C, Yaldiz O. Estimating of monthly average daily global radiation on horizontal surface for Antalya, Turkey. Renewable Energy, 1999, 17: 95-102. https://doi.org/10.1016/S0960-1481(98)00109-8.

      [9] Nwokolo SC, Ogbulezie JC, Toge CK, John-Jaja SA, Modeling the influence of relative humidity on photosynthetically active radiation from global horizontal irradiation in six tropical ecological zones in Nigeria. New York Science Journal, 2016, 9: 40-55

      [10] Nwokolo S.C, Ogbulezie J.C. (2017). A single parameter based-model for calibrating Hargreaves-Samani coefficient in Nigeria. International Journal of Physical Research, 5 (2): 49-59 https://doi.org/10.14419/ijpr.v5i2.8042.

      [11] Nwokolo, S.C., & Ogbulezie, J.C., (2017). A Quantitative Review and Classification of Empirical Models for Predicting Global Solar Radiation in West Africa. Beni-Suef University Journal of Basic and Applied Sciences, (In Press). https://doi.org/10.1016/j.bjbas.2017.05.001.

      [12] Nwokolo, S.C. (2017). A comprehensive review of empirical models for estimating global solar radiation in Africa. Renewable and Sus-tainable Energy Reviews, 78: 955–995 https://doi.org/10.1016/j.rser.2017.04.101.

      [13] Angstrom, A. Solar and terrestrial radiation. Quarterly Journal of Royal Meteorological Society 1924; 50: 121-5. https://doi.org/10.1002/qj.49705021008.

      [14] Prescott JA. Evaporation from water surface in relation to solar radiation. Transactions of the Royal Society of Australia, 1940, 48: 114-8.

      [15] Ododo JC. New models for the prediction of solar radiation in Nigeria. Paper presented at the 2nd OAU/STRC conference on New Renewable and Solar Energies at Bamako, Mali, 1994, 16-20

      [16] Halouani M, Nguyen CT, Vongoc D. Calculation of monthly average global solar radiation on horizontal surface using daily hours of bright sunshine. Solar Energy, 1993, 50: 247-255 https://doi.org/10.1016/0038-092X(93)90018-J.

      [17] Ituen EE, Esen NU, Nwokolo SC, Udo EG. Prediction of global solar radiation using relative humidity, maximum temperature and sunshine hour in Uyo, in the Niger Delta region, Nigeria. Advances in Applied Science Research, 2012, 3: 1923-1937.

      [18] Akpabio LE, Etuk SE. Empirical correlation of global solar radiation with meteorological data for Onne, Nigeria. Turkish Journal of Physics, 2003, 28: 222 – 227

      [19] Rietveld M. A new method for estimating the regression coefficients in the formula relating solar radiation to sunshine. Agricultural Meteorology, 1978, 19:243-252 https://doi.org/10.1016/0002-1571(78)90014-6.

      [20] Akpabio LE, Udo SO, Etuk SE. Empirical correlation of global solar radiation with meteorological data for Onne, Nigeria. Turkish Journal of Physics, 2005, 28: 222 – 227

      [21] Falayi EO, Rabiu AB. Modeling global solar radiation using sunshine duration data. Nigeria Journal of Physics 2005, 17:181-186

      [22] Maduekwe AAL, Chendo MAC. Predicting the components of the total hemispherical solar radiation from sunshine duration measurement in Lagos, Nigeria. Renewable Energy, 1995, 6: 807-812 https://doi.org/10.1016/0960-1481(95)91008-2.

      [23] Kholagi A, Ramadan MRI, Ali ZEH, Fattah YA. Global and Diffuse solar irradiation in Yemen (Y.A.R). Solar Energy, 1983, 31: 35-62

      [24] Friend AD. Parameterization of a global daily weather generator for terrestrial ecosystem modeling. Ecological Modelling, 1998, 109: 121-140 https://doi.org/10.1016/S0304-3800(98)00036-2.

      [25] Turton SM. The relationship between total irradiation and sunshine in humid tropics. Solar Energy, 1986, 38: 353-354 https://doi.org/10.1016/0038-092X(87)90007-7.

      [26] Ezekwe CI, Ezeifo CCO. Measured solar radiation in a Nigerian environment compared with predicted data. Solar Energy, 1981, 26: 181-6. https://doi.org/10.1016/0038-092X(81)90083-9.

      [27] Ezeilo CCO. Solar radiation measurements. The Nigerian experience in the proceedings of the National Symposium on Solar Energy, held at Sokoto State Polytechnic, Benin-Kebbi, Nigeria (2nd to 3rd November), 1982.

      [28] Arinze EA. Obi SE. Solar energy availability and prediction in Northern Nigeria. Solar Energy, 1984, 3: 3-10.

      [29] Sambo AS. Solar radiation in Kano – a correlation with meteorological data. Nigeria Journal of Solar Energy, 1985, 1-59-65.

      [30] Folayam CO, Ogunbiyi A. Estimating global solar radiation in Samaru. Presented at the SESN National Solar Energy Forum, held at Zaira, 25th June, 1986.

      [31] Sambo AS. Empirical models for the correlation of global solar radiation with meteorological data for northern Nigeria. Solar Wind Technology, 1986, 3: 89-93. https://doi.org/10.1016/0741-983X(86)90019-6.

      [32] Fagbenle RO. Estimation of total radiation in Nigeria using meteorological data. Nigerian Journal of Renewable Energy, 1990, 1: 1-10.

      [33] Kuye A, Jagtap SS. Analysis of solar radiation data for Port-Harcourt, Nigeria. Solar Energy, 1992, 49:139-45. https://doi.org/10.1016/0038-092X(92)90148-4.

      [34] Akinbode FO. Solar radiation in Minna: Correlation with meteorological data. Nigeria Journal of Renewable Energy, 1992, 3: 9-17.

      [35] Fagbenle RO. Total solar radiation estimates in Nigeria using a maximum likelihood quadratic fit. Renewable Energy, 1993, 33: 827-31. https://doi.org/10.1016/0960-1481(93)90089-Y.

      [36] Burari, FW, Sambo AS. Alternative model for the determination of angstrom coefficients for Bauchi. Nigerian Journal of Renewable Energy, 2000, 8: 66-68.

      [37] Falayi Eo, Adepitan JO, Rabiu AB. Empirical models for the correlation of global solar radiation with meteorological data for Iseyin, Nigeria. International Journal of Physical Science, 2008, 3: 210-216.

      [38] Tijjani BI. Comparison between first and second order Angstrom type models for sunshine hours at Katisna, Nigeria. Bayero Journal of Pure and Applied Sciences, 2011, 4: 24-27.

      [39] Yohanna JK, Itodo IS, Umogba VI. A model for determining the global solar radiation in Warri, Nigeria. Pacific Journal of Science and Technology, 2009, 10: 574-9.

      [40] Adaramola MS. Estimating global solar radiation using common meteorological data in Akura, Nigeria. Renewable Energy, 2012, 47: 38-44. https://doi.org/10.1016/j.renene.2012.04.005.

      [41] Yakubu D, Medugu DW. Relationship between the global solar radiation and the sunshine duration in Abuja, Nigeria. Ozean Journal of Applied Sciences, 2012, 5: 221-228.

      [42] Musa B, Zangina U, Aminu M. Estimation of global solar radiation in Maiduguri, Nigeria using Angstrom model. APRN Journal of Engineering and Applied Sciences, 2012, 7: 1623-1627.

      [43] Kolebaje OT, Mustapha LO. On the performance of some predictive models for global solar radiation estimates in tropical stations: Port Harcourt and Lokoja, 2012, 7: 145-163.

      [44] Ohunakin OS, Adaramola MS, Oyewolu OM, Fagbenle RO. Correlations for estimating solar radiation using sunshine hours and temperature measurement in Osogbo, Osun State, Nigeria. Frontier in Energy, 2013, 1-9. Doi. 1007/511708-013-0241-2.

      [45] Solomon A. Evaluation of the regression parameters of the angstrom-page model for predicting global solar radiation. Journal of energy in Southern Africa, 2013, 24: 46-49.

      [46] Gana NN, Akpootu DO. Estimation of global solar radiation using four sunshine based models in Kebbi, North-Western, Nigeria. Advances in Applied Science Research, 2013, 4: 409-421.

      [47] Medugu DW, Burari FW, Abdul’Azaz MA. Measurement of incoming solar radiation: comparison of data obtained from a constructed reliable pyranometer (Rmpool) and a high quality pyranometer (CMP3) under varying climatic condition at Mubi, Nigeria. Archives of Physics Research, 2013, 1: 129-146.

      [48] Isikwue B, Dandy S, Audu M. Testing the performance of some empirical models for estimating global solar radiation over Makurdi, Nigeria. Journal of Natural Sciences Research, 2013, 3: 165-170.

      [49] Okonkwo GN. Nwokoye AOC. Development of models for predicting global solar radiation in Minna, Nigeria using meteorological data. IOSR Journal of Applied Physics, 2014, 6: 01-06.

      [50] Ogolo EO. Estimation of global solar radiation in Nigeria using a modified Angstrom model and the trend analysis of the allied meteorological components. Indian Journal of Radio & Space Physics, 2014, 43: 213-224.

      [51] Nwokoye AOC, Okonkwo GN. Testing the predictive efficiencies of four Angstrom-type models for estimating solar radiation in Bida, Nigeria, IOSR Journal of Applied Physics, 2014, 6: 15-16.

      [52] Kaltiya MS, Abubakar MS, Itodo IN. Predictive of global solar radiation using Angstrom-page equation model for Makurdi, Benue State, Nigeria. American Journal of Engineering Research, 2014, 3: 145-150.

      [53] Sheriff MA, Goje AA, Zannah MW. Estimation of global solar radiation using sunshine duration in Maiduguri, Nigeria. Nigerian Journal of Physics, 2014, 25: 35-39.

      [54] Ike CU. Global solar radiation in Awka, South East, Nigeria using weather station. APRN Journal of Sciences and Technology, 2014, 4: 678-683.

      [55] Gana NN, Jitendru KR, Momoh M. Angstrom constants for estimating solar radiation using four sunshine based models in Kebbi, North-Western, Nigeria. International Journal of Scientific and Engineering Research, 2014, 5: 1636-1647.

      [56] Sani GD, Mohd ET, Mohd BG, Usman MG, Musa GA. The correlation functions and estimation of global solar radiation studies using sunshine base model for Kano, Nigeria. Advances in Physics Theories and Application, 2015, 39: 55-61.

      [57] Adesina MA, Ibrahim JS, Ponzi UD. A model for predicting solar radiation for Nasarawa, Nigeria. International Journal of Modern Engineering Sciences, 2015, 4: 22-30.

      [58] Olatona, GI, Adeleke AE. Estimation of solar radiation over Ibadan from routine meteorological parameters. The International Journal of Engineering and Science, 2015, 4: 44-51.

      [59] Okonkwo GN. Nwokoye AOC. Development of models for predicting global solar radiation in Minna, Nigeria using meteorological data. IOSR Journal of Applied Physics, 2014, 6: 01-06.

      [60] Innocent AJ, Jacob OE, Chibuzo GC, James I, Odeh DO. Estimation of global solar radiation in Gusua, Nigeria. International Journal of Research in Engineering and Technology, 2015, 3:27-32.

      [61] Boluwaji MO, Onyedi DO. Comparative study of ground measured, satellite-derived, and estimated global solar radiation data in Nigeria. Journal of Solar Energy, 2016, 10: 1-7.

      [62] Okundamiya MS, Emagbethre JO, Ogujor EA. Evaluation of various global solar radiation models for Nigeria. International Journal of Green Energy, 2016, 13: 505-512. https://doi.org/10.1080/15435075.2014.968921.

      [63] Ayodele TR, Ogunjuyigbe. Performance assessment of empirical models for prediction of daily and monthly average global solar radiation: the case study of Ibadan, Nigeria. International Journal of Ambient Energy, 2016; Doi: 10.1080/01430750.2016.

      [64] Udo SO. Contribution to the relationship between solar radiation and sunshine duration in the tropics: A case study of experimental data in Ilorin, Nigeria. Turkish Journal of Physics, 2002, 16: 123-130.

      [65] Lewis G. An empirical relation for estimating dependent global insolation model for Tennessee, USA. Energy Conversion and Management, 1992, 33: 1097-9 https://doi.org/10.1016/0196-8904(92)90007-J.

      [66] Tahran S, Sari A. Model selection for global and diffuse radiation over the central Black Sea (CBS) region of Turkey, Energy Conversion and Management, 2005, 46: 605-613 https://doi.org/10.1016/j.enconman.2004.04.004.

      [67] Burari FW, Abduluzeer M, Sulaiman MN. Mathematical models for the prediction of global solar radiation for Maiduguri, Nigeria. Nigerian Journal of Tropical Engineering, 2006, 6: 32-37.

      [68] Togrul IT, Togrul H. Global Solar Radiation over Turkey: comparison of predicted and measured data. Renewable Energy, 2002, 25: 55-67 https://doi.org/10.1016/S0960-1481(00)00197-X.

      [69] Ulgen K, Hepbasli A. Solar radiation models. Part 2: Comparison and developing new models. Solar Sources, 2004, 26: 521-530 https://doi.org/10.1080/00908310490429704.

      [70] Glover J, McGulloch JSG. The empirical relation between solar radiation and hours of sunshine.

      [71] Iqbal M. Prediction of hourly diffuse solar radiation from measured hourly global solar radiation on a horizontal surface. Solar Energy, 1980, 24: 491-503 https://doi.org/10.1016/0038-092X(80)90317-5.

      [72] Guild to meteorological instruments and methods of observation. 7th ed. Geneva: World Meteorological Organization, 2008

      [73] Menges HO, Ertekin C, Sonmete MH. Evaluation of global solar radiation models for Konya, Turkey. Energy Conversion and Management, 2006, 47: 3149-3173 https://doi.org/10.1016/j.enconman.2006.02.015.

      [74] Robaa Sm. Validation of the existing models for estimating global solar radiation over Egypt. Energy Conversion and Management, 2009, 50: 184-193 https://doi.org/10.1016/j.enconman.2008.07.005.

      [75] Al-Mostafa ZA, Maghrabi AH, Al-Shehri SM. Assessment of Sunshine-based global radiation models using data measured in Riyadh, Saudi Arabia. Journal of Energy Institute, 2012, 1: 14-21 https://doi.org/10.1179/174396711X13116932752038.

      [76] Al-Mostafa ZA, Maghrabi AH, Al-Shehri SM. Sunshine-based global radiation models: A review and case study. Energy Conversion and Management, 2014. 84: 209-216 https://doi.org/10.1016/j.enconman.2014.04.021.


 

View

Download

Article ID: 8308
 
DOI: 10.14419/ijaa.v5i2.8308




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.