Boluwaji Olomiye | Federal University of Technology,Minna,Niger State,Nigeria (original) (raw)

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Papers by Boluwaji Olomiye

Research paper thumbnail of Hybrid power system options for off-grid rural electrification in northwestern region of Nigeria

Academia Green Energy, Sep 25, 2024

Electrical power supply is inadequate in Nigeria and most remote settlements in the country are ... more Electrical power supply is inadequate in Nigeria and most remote settlements in the country are not connected to the national grid. This study, therefore, investigates a set of possible off-grid hybrid power systems that can satisfy the electrical load of a model rural community of 100 households in Kaduna and Katsina States, Northwestern region of Nigeria at the lowest energy cost. Two off-grid hybrid power systems and a stand-alone diesel generator are modelled, simulated and analysed for the two locations with different solar and wind energy resources using HOMER software. The optimisation results show that a Wind-PV-Diesel hybrid power system will be able to satisfy their load demand with the least cost in the two locations. The Net Present Cost (NPC) and cost of energy (COE) for the optimal system are: $ 435,818 and 0.203 /kWhforKadunaand/kWh for Kaduna and /kWhforKadunaand 322,091 and 0.150 $/kWh for Katsina. Thus, the optimal system in Katsina has lower NPC than the optimal system in Kaduna. The reduction in NPC for the optimal system in Katsina is due to the high wind penetration in the hybrid system, as cost of wind energy per kilowatt is lower than that of PV and Diesel generators. In comparison to grid tariff in Nigeria, the reported cost of energy in this study is cost effective for rural settlements that are far from the existing grid. Thus a hybrid PV-Wind system is recommended for Katsina, while a Hybrid PV-Wind-Diesel system is more suitable for Kaduna.

Research paper thumbnail of Comparative Study of Ground Measured, Satellite-Derived, and Estimated Global Solar Radiation Data in Nigeria

Journal of Solar Energy, 2016

In this study, the performance of three global solar radiation models and the accuracy of global ... more In this study, the performance of three global solar radiation models and the accuracy of global solar radiation data derived from three sources were compared. Twenty-two years (1984–2005) of surface meteorological data consisting of monthly mean daily sunshine duration, minimum and maximum temperatures, and global solar radiation collected from the Nigerian Meteorological (NIMET) Agency, Oshodi, Lagos, and the National Aeronautics Space Agency (NASA) for three locations in North-Western region of Nigeria were used. A new model incorporating Garcia model into Angstrom-Prescott model was proposed for estimating global radiation in Nigeria. The performances of the models used were determined by using mean bias error (MBE), mean percentage error (MPE), root mean square error (RMSE), and coefficient of determination (R2). Based on the statistical error indices, the proposed model was found to have the best accuracy with the least RMSE values (0.376 for Sokoto, 0.463 for Kaduna, and 0.44...

Research paper thumbnail of Evaluation of some global solar radiation models in selected locations in Northwest, Nigeria

MOJ Solar and Photoenergy Systems, 2017

These are regression models in which only one meteorological parameter is used as the main input ... more These are regression models in which only one meteorological parameter is used as the main input data for the estimation of global solar radiation. The commonly used parameters in this category are sunshine duration, air temperature and cloud cover. Examples of such model include:

Research paper thumbnail of Comparative Study of Ground Measured, Satellite-Derived, and Estimated Global Solar Radiation Data in Nigeria

In this study, the performance of three global solar radiation models and the accuracy of global ... more In this study, the performance of three global solar radiation models and the accuracy of global solar radiation data derived from three sources were compared. Twenty-two years (1984–2005) of surface meteorological data consisting of monthly mean daily sunshine duration, minimum and maximum temperatures, and global solar radiation collected from the Nigerian Meteorological (NIMET) Agency, Oshodi, Lagos, and the National Aeronautics Space Agency (NASA) for three locations in NorthWestern region of Nigeria were used. A new model incorporating Garcia model into Angstrom-Prescott model was proposed for estimating global radiation in Nigeria. The performances of the models used were determined by using mean bias error (MBE), mean percentage error (MPE), root mean square error (RMSE), and coefficient of determination (í µí±… 2). Based on the statistical error indices, the proposed model was found to have the best accuracy with the least RMSE values (0.376 for Sokoto, 0.463 for Kaduna, and 0.449 for Kano) and highest coefficient of determination, í µí±… 2 values of 0.922, 0.938, and 0.961 for Sokoto, Kano, and Kaduna, respectively. Also, the comparative study result indicates that the estimated global radiation from the proposed model has a better error range and fits the ground measured data better than the satellite-derived data.

Research paper thumbnail of Solar Energy for Power Generation: A Review of Solar Radiation Measurement Processes and Global Solar Radiation Modelling Techniques

Solar Energy is the cleanest and the most abundant renewable energy in the world. Solar radiation... more Solar Energy is the cleanest and the most abundant renewable energy in the world. Solar radiation data are the most important resources needed for solar energy system design. Knowledge of the amount of available solar radiation in any location of interest is of prime importance to the solar energy design experts. This study examines the influence of atmospheric components on solar radiation passing through the earth’s atmosphere. The intensity of solar radiation is attenuated as it passes through the earth’s atmosphere. Also, methods of solar radiation measurement and the various empirical models for estimating global solar radiation in areas where such data are not available are presented. However, no method can be acclaimed to be the best as the performance of the models vary with location. Hybrid parameter based models have been reported to predict global solar radiation on horizontal surface with a high degree of accuracy in many locations in across the globe. Finally, two simulation tools for analysing solar power system were discussed. RETScreen software is majorly used for photovoltaic applications while HOMER includes additional renewable energy simulation features which make it suitable for analysing hybrid power system.

Research paper thumbnail of Evaluation of Some Global Solar Radiation Models in Selected Locations in Northwest, Nigeria

This study assesses the performance of four global solar radiation models in three selected locat... more This study assesses the performance of four global solar radiation models in three selected locations (Gusua, Yelwa and Katsina) in Northwestern , Nigeria. A new model for estimating global solar radiation which is developed by Olomiyesan and Oyedum is also presented. This model alongside three existing models has been tested and validated for the selected locations using twenty-two years' (1984–2005) meteorological data collected from the Nigerian Meteorological Agency (NIMET). Global solar radiation estimated from the newly developed model was compared with the values obtained from Garcia, Hargreaves-Samani and Angstrom-Prescott models. The accuracy of the models was determined by using mean bias error (MBE), mean percentage error (MPE), root mean square error (RMSE) and coefficient of determination (R 2). Based on the statistical error indices obtained, Olomiyesan and Oyedum model was found to perform best in terms of accuracy, with the least RMSE values in the three locations, and highest coefficient of determination, R 2 values in two of the three locations. Thus, the newly developed model is suitable for estimating global solar radiation in the NorthWestern region of Nigeria and other locations with similar meteorological and climatic conditions.

Research paper thumbnail of Hybrid power system options for off-grid rural electrification in northwestern region of Nigeria

Academia Green Energy, Sep 25, 2024

Electrical power supply is inadequate in Nigeria and most remote settlements in the country are ... more Electrical power supply is inadequate in Nigeria and most remote settlements in the country are not connected to the national grid. This study, therefore, investigates a set of possible off-grid hybrid power systems that can satisfy the electrical load of a model rural community of 100 households in Kaduna and Katsina States, Northwestern region of Nigeria at the lowest energy cost. Two off-grid hybrid power systems and a stand-alone diesel generator are modelled, simulated and analysed for the two locations with different solar and wind energy resources using HOMER software. The optimisation results show that a Wind-PV-Diesel hybrid power system will be able to satisfy their load demand with the least cost in the two locations. The Net Present Cost (NPC) and cost of energy (COE) for the optimal system are: $ 435,818 and 0.203 /kWhforKadunaand/kWh for Kaduna and /kWhforKadunaand 322,091 and 0.150 $/kWh for Katsina. Thus, the optimal system in Katsina has lower NPC than the optimal system in Kaduna. The reduction in NPC for the optimal system in Katsina is due to the high wind penetration in the hybrid system, as cost of wind energy per kilowatt is lower than that of PV and Diesel generators. In comparison to grid tariff in Nigeria, the reported cost of energy in this study is cost effective for rural settlements that are far from the existing grid. Thus a hybrid PV-Wind system is recommended for Katsina, while a Hybrid PV-Wind-Diesel system is more suitable for Kaduna.

Research paper thumbnail of Comparative Study of Ground Measured, Satellite-Derived, and Estimated Global Solar Radiation Data in Nigeria

Journal of Solar Energy, 2016

In this study, the performance of three global solar radiation models and the accuracy of global ... more In this study, the performance of three global solar radiation models and the accuracy of global solar radiation data derived from three sources were compared. Twenty-two years (1984–2005) of surface meteorological data consisting of monthly mean daily sunshine duration, minimum and maximum temperatures, and global solar radiation collected from the Nigerian Meteorological (NIMET) Agency, Oshodi, Lagos, and the National Aeronautics Space Agency (NASA) for three locations in North-Western region of Nigeria were used. A new model incorporating Garcia model into Angstrom-Prescott model was proposed for estimating global radiation in Nigeria. The performances of the models used were determined by using mean bias error (MBE), mean percentage error (MPE), root mean square error (RMSE), and coefficient of determination (R2). Based on the statistical error indices, the proposed model was found to have the best accuracy with the least RMSE values (0.376 for Sokoto, 0.463 for Kaduna, and 0.44...

Research paper thumbnail of Evaluation of some global solar radiation models in selected locations in Northwest, Nigeria

MOJ Solar and Photoenergy Systems, 2017

These are regression models in which only one meteorological parameter is used as the main input ... more These are regression models in which only one meteorological parameter is used as the main input data for the estimation of global solar radiation. The commonly used parameters in this category are sunshine duration, air temperature and cloud cover. Examples of such model include:

Research paper thumbnail of Comparative Study of Ground Measured, Satellite-Derived, and Estimated Global Solar Radiation Data in Nigeria

In this study, the performance of three global solar radiation models and the accuracy of global ... more In this study, the performance of three global solar radiation models and the accuracy of global solar radiation data derived from three sources were compared. Twenty-two years (1984–2005) of surface meteorological data consisting of monthly mean daily sunshine duration, minimum and maximum temperatures, and global solar radiation collected from the Nigerian Meteorological (NIMET) Agency, Oshodi, Lagos, and the National Aeronautics Space Agency (NASA) for three locations in NorthWestern region of Nigeria were used. A new model incorporating Garcia model into Angstrom-Prescott model was proposed for estimating global radiation in Nigeria. The performances of the models used were determined by using mean bias error (MBE), mean percentage error (MPE), root mean square error (RMSE), and coefficient of determination (í µí±… 2). Based on the statistical error indices, the proposed model was found to have the best accuracy with the least RMSE values (0.376 for Sokoto, 0.463 for Kaduna, and 0.449 for Kano) and highest coefficient of determination, í µí±… 2 values of 0.922, 0.938, and 0.961 for Sokoto, Kano, and Kaduna, respectively. Also, the comparative study result indicates that the estimated global radiation from the proposed model has a better error range and fits the ground measured data better than the satellite-derived data.

Research paper thumbnail of Solar Energy for Power Generation: A Review of Solar Radiation Measurement Processes and Global Solar Radiation Modelling Techniques

Solar Energy is the cleanest and the most abundant renewable energy in the world. Solar radiation... more Solar Energy is the cleanest and the most abundant renewable energy in the world. Solar radiation data are the most important resources needed for solar energy system design. Knowledge of the amount of available solar radiation in any location of interest is of prime importance to the solar energy design experts. This study examines the influence of atmospheric components on solar radiation passing through the earth’s atmosphere. The intensity of solar radiation is attenuated as it passes through the earth’s atmosphere. Also, methods of solar radiation measurement and the various empirical models for estimating global solar radiation in areas where such data are not available are presented. However, no method can be acclaimed to be the best as the performance of the models vary with location. Hybrid parameter based models have been reported to predict global solar radiation on horizontal surface with a high degree of accuracy in many locations in across the globe. Finally, two simulation tools for analysing solar power system were discussed. RETScreen software is majorly used for photovoltaic applications while HOMER includes additional renewable energy simulation features which make it suitable for analysing hybrid power system.

Research paper thumbnail of Evaluation of Some Global Solar Radiation Models in Selected Locations in Northwest, Nigeria

This study assesses the performance of four global solar radiation models in three selected locat... more This study assesses the performance of four global solar radiation models in three selected locations (Gusua, Yelwa and Katsina) in Northwestern , Nigeria. A new model for estimating global solar radiation which is developed by Olomiyesan and Oyedum is also presented. This model alongside three existing models has been tested and validated for the selected locations using twenty-two years' (1984–2005) meteorological data collected from the Nigerian Meteorological Agency (NIMET). Global solar radiation estimated from the newly developed model was compared with the values obtained from Garcia, Hargreaves-Samani and Angstrom-Prescott models. The accuracy of the models was determined by using mean bias error (MBE), mean percentage error (MPE), root mean square error (RMSE) and coefficient of determination (R 2). Based on the statistical error indices obtained, Olomiyesan and Oyedum model was found to perform best in terms of accuracy, with the least RMSE values in the three locations, and highest coefficient of determination, R 2 values in two of the three locations. Thus, the newly developed model is suitable for estimating global solar radiation in the NorthWestern region of Nigeria and other locations with similar meteorological and climatic conditions.