Estimation of Global Solar Radiation for Kano State Nigeria Based on Meteorological Data

Muhammad, Auwal; Darma, T.H.

doi:10.9790/4861-06611923

Cited by 9 publications

(9 citation statements)

References 2 publications

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“…According to him, the second order performed better than the first order based on the coefficient of correlation with 0.702 and 0.345 respectively. Muhammad and Darma [10] employed the monthly mean minimum/maximum temperature and relative humidity data obtained from Nigerian Meteorological Agency (NIMET), Abuja-Nigeria during the period of 6 years (2005 -2010) to estimate the monthly average daily global solar radiation on a horizontal surface for Kano, Nigeria using modified Ångström models from which models were developed with regression coefficients a and b of (1.2577 -1.0167) and (0.8317 -0.0043) based on temperature ratio and relative humidity. Olatona and Adeleke [11] developed some simple empirical models for the prediction of monthly mean daily solar radiation on a horizontal surface for Ibadan from sunshine hours and minimum and maximum temperatures data obtained from International Institute of Tropical Agriculture (IITA) Meteorological station at Ibadan, the data obtained covered a period of twenty years (1992 -2011).…”

Section: Introductionmentioning

confidence: 98%

Empirical models for predicting global solar radiation using meteorological parameters for Sokoto, Nigeria

Akpootu¹,

Tijjani²,

Gana³

2019

IJPR

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The performances of sunshine, temperature and multivariate models for the estimation of global solar radiation for Sokoto (Latitude 13.020N, Longitude 05.250E and 350.8 m asl) located in the Sahelian region in Nigeria were evaluated using measured monthly average daily global solar radiation, maximum and minimum temperatures, sunshine hours, rainfall, wind speed, cloud cover and relative humidity meteorological data during the period of thirty one years (1980-2010). The comparison assessment of the models was carried out using statistical indices of coefficient of determination (R2), Mean Bias Error (MBE), Root Mean Square Error (RMSE), Mean Percentage Error (MPE), t – test, Nash – Sutcliffe Equation (NSE) and Index of Agreement (IA). For the sunshine based models, a total of ten (10) models were developed, nine (9) existing and one author’s sunshine based model. For the temperature based models, a total of four (4) models were developed, three (3) existing and one author’s temperature based model. The results of the existing and newly developed author’s sunshine and temperature based models were compared and the best empirical model was identified and recommended. The results indicated that the author’s quadratic sunshine based model involving the latitude and the exponent temperature based models are found more suitable for global solar radiation estimation in Sokoto. The evaluated existing Ångström type sunshine based model for the location was compared with those available in literature from other studies and was found more suitable for estimating global solar radiation. Comparing the most suitable sunshine and temperature based models revealed that the temperature based models is more appropriate in the location. The developed multivariate regression models are found suitable as evaluation depends on the available combination of the meteorological parameters based on two to six variable correlations. The recommended models are found suitable for estimating global solar radiation in Sokoto and regions with similar climatic information with higher accuracy and climatic variability.

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Section: Introductionmentioning

confidence: 98%

Empirical models for predicting global solar radiation using meteorological parameters for Sokoto, Nigeria

Akpootu¹,

Tijjani²,

Gana³

2019

IJPR

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“…Because of lack of reliable solar radiation, several efforts have been made by many researchers to develop or modify the original Angstrom model to estimate the number of solar radiations from other meteorological data at a different location around the world. Among these are: Auwal and Darma [3] proposed two new models for estimating monthly global solar radiation for Kano State. The temperaturebased model gave a better result in comparison to relative humidity based model, Okonkwo and Nwokoye [4] developed thirteen different models using meteorological parameters which include sunshine hours duration, relative humidity, rainfall, wind speed, maximum and minimum temperature.…”

Section: Introductionmentioning

confidence: 99%

Assessing the performance of global solar radiation empirical equations in Sokoto, Nigeria using meteorological parameters

et al. 2018

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In this study, the meteorological parameters measured in Sokoto (12.55 o N,5.15 o E) for a period of 10 years (2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014) were obtained from the Nigerian Meteorological Agency Sultan Abubakar III International Airport, Sokoto state. The data used include Gunn-Bellani solar radiation, sunshine hour duration, maximum and minimum temperatures, which were analyzed using modified Angstrom models to estimate the monthly mean global solar radiation in Sokoto. Four statistical methods have been used in order to evaluate the results namely; Mean Bias Error (MBE), Mean Percentage Error (MPE), Root Mean Square Error (RMSE) and T-statistic. The standard error (SE) and coefficient of determination (R 2 ) were also obtained for each model. Based on the result obtained models 4 & 5 gave a lower RMSE, and R 2 approaches unity, which indicates that there is a good agreement between measured and estimated global solar radiation.

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“…The empirical model is in the form: (45) Where a, b, c and d are the empirical constants and other symbols retain their usual meaning. Gana et al [37] calibrated the following MB model for Sokoto as: (46) Nwokoye and Okonkwo [33] proposed the following MB model for Bida as: (47) Sani et al [39] established the following MB model for Kano as: (48) Ayodele and Ogunjuyigbe [49] obtained the following DB model for Ibadan.…”

Section: Groupmentioning

confidence: 99%

“…The empirical model has the form: (36) Where a, b, c are the empirical constants and other symbols retain their usual meaning. Kolebaje and Mustapha [26] developed the following MB model for Lokoja as: (37) Gana and Akpootu [28] fitted the following MB model for Kebbi as: (38) Ohunakin et al [20] developed the following MB model for Osogbe as: (39) Gana et al [37] obtained the following MB model for Sokoto as: (40) Nwokoye and Okonkwo [33] registered the following MB model for Bida as: (41) Okonkwo and Nwokoye [48] developed the following MB model for Minna as: (42) Sani et al [39] established the following MB model for Kano as: (43) Ayodele and Ogunjuyigbe [49] proposed the following DB model for Ibadan.…”

Section: Groupmentioning

confidence: 99%

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A critical review of theoretical models for estimating global so-lar radiation between 2012-2016 in Nigeria

Nwokolo

Ogbulezie

2017

IJPR

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A routinely research of solar radiation is of vital requirement for surveys in agronomy, hydrology, ecology and sizing of the photovoltaic or thermal solar systems, solar architecture, molten salt power plant and supplying energy to natural processes like photosynthesis and estimates of their performances. However, measurement of global solar radiation is not available in most locations across in Nigeria. During the past 5 years in order to estimate global solar radiation on the horizontal surface on both daily and monthly mean daily basis, numerous empirical models have been developed for several locations in Nigeria. As a result, various input parameters have been utilized and different functional forms used. In this study aims at comparing, classifying and reviewing the empirical and soft computing models applied for estimating global solar radiation. The empirical models so far utilized were classified into eight main categories and presented based on the input parameters employed. The models were further reclassified into several main sub-classes and finally represented according to their developing year. On the whole, 145 empirical models and 42 functional forms, 8 artificial neural network models, 1 adaptive neural fuzzy inference system approach, and 1 Autoregressive Moving Average methods were recorded in literature for estimating global solar radiation in Nigeria. This review would provide solar-energy researchers in terms of identifying the input parameters and functional forms widely employed up until now as well as recognizing their importance for estimating global solar radiation using soft computing empirical models in several locations in Nigeria.

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Estimation of Global Solar Radiation for Kano State Nigeria Based on Meteorological Data

Cited by 9 publications

References 2 publications

Empirical models for predicting global solar radiation using meteorological parameters for Sokoto, Nigeria

Empirical models for predicting global solar radiation using meteorological parameters for Sokoto, Nigeria

Assessing the performance of global solar radiation empirical equations in Sokoto, Nigeria using meteorological parameters

A critical review of theoretical models for estimating global so-lar radiation between 2012-2016 in Nigeria

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