Solar energy has been identified as the largest renewable resource on earth, and it is more evenly distributed in Sunbelt locations than wind or biomass use. In this paper, geospatial methods were used to examine solar energy potentials in Niger State Northcentral Nigeria. Observed insolation data from Nigeria meteorological station was used over the study period 1988–2018. A Digital Elevation Map (DEM) and solar radiation of the area were used as input parameters. Slope and slope aspect were calculated using the DEM. Slope, slope aspect, and solar radiations of the study area were reclassified and weighted using a Hierarchical Analytical Process (AHP). The variability analysis was done using a standardized variable index. It was observed that the months of February, March, and April were the highest with average solar radiation of 6kWh/m2/day, while July and August, on average, had the lowest solar radiation of 4.4kWh/m2/day. The results showed the areas with moderate solar energy potential; good solar energy potential and very good solar energy potential. It was revealed that the amount of available solar power in Niger is 414.651 X 106 MWh. The study has demonstrated the potential of geospatial technology in the analysis of solar energy potentials, making it suitable for the investigation of other renewable energies. The results also identified the enormous availability of solar energy potentials in the state as well as the most suitable site for solar energy farms.
| Published in | American Journal of Modern Physics (Volume 11, Issue 6) |
| DOI | 10.11648/j.ajmp.20221106.12 |
| Page(s) | 95-100 |
| 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 |
Solar Radiation, Solar Energy Potentials, Geospatial Methods, DEM, AHP
| [1] | Sambo, A. S. (1997). Energy options for sustainable national development: Resources, issues, and the position of renewable energy technologies, University Inaugural Lecture delivered on 17th January, 1996, Published as Inaugural Lecture Series No. 1, ATBU Ceremonies, 1997. |
| [2] | Pettazzi, A. & Salsón, S. (2012). Merging remote sensing data with in-situ measurements of global solar radiation: the right path to estimate the solar resource in Galicia. International Conference on Renewable Energies and Power Quality (ICREPQ’12). Santiago de Compostela (Spain). |
| [3] | Muneer, T., Asif, M. & Munawar, S. (2005). Sustainable production of solar electricity with particular reference to the Indian economy. Renewable Sustainable Energy Review, 9: 44-73. |
| [4] | Rehman, S. & Ghori, S. G. (2000). Spatial estimation of global solar radiation using geostatistics. Renewable Energy, 21, 583-605. |
| [5] | Monforti, F. (2011). Renewable energies in Africa- Current knowledge, JRC Scientific and Technical Reports. European Union, Italy. |
| [6] | Scheer, H. and Ketley, A. (2002). Estimation of daily total and diffuse insolation from weather data. Solar Energy Journal, 22: 407- 411. |
| [7] | Oji, J. O., Idusuyi, N., Aliu, T. O., Petinrin, M. O., Odejobi, O. A. and Adetunji, A. R. (2012). Utilization of Solar Energy for Power Generation in Nigeria. International Journal of Energy Engineering, 2 (2): 54-59. |
| [8] | Ramachandra, T. V. and Shruthi, B. V. (2005). Spatial mapping of renewable energy potential. Renewable and Sustainable Energy Reviews, 11: 460-1480. |
| [9] | Sambo, A. S. (1988). The measurement and prediction of global and diffuse components of solar radiation for Kano in Northern Nigeria. Solar and Wind Technology, 5 (1): 1-5. |
| [10] | AbdulAzeez, M. A. (2011). Artificial neural network estimation of global solar radiation. Applied Science Research, 3 (2): 586–595. |
| [11] | Gana, N. N. & Akpootu, D. O. (2013). Estimation of global solar radiation using four Sunshine based models in Kebbi, North-Western, Nigeria. Advances in Applied Science Research, 4 (5): 409-421. |
| [12] | Gana, N. N., Jitendra, K. R. & Momoh, M. (2014). Estimation of Global and Diffuse Solar Radiation for Kebbi, North-Western, Nigeria. International Journal of Scientific & Engineering Research, 5 (1): 1654-1661. |
| [13] | Power, H. C.; Mills, D. M. Solar radiation climate change over Southern Africa and an assessment of the radiative impact of volcanic eruptions. Int. J. Climatol. 2005, 25, 295–318. |
| [14] | Omwando, L. M.; Kinyua, R.; Ndeda, J. O. H.; Marigi, S. N.; Kibwage, J. K. Investigation of solar energy potential in Nakuru–Kenya, and its implications on Kenya’s energy policy. Baraton Interdiscip. Res. J. 2013, 3, 29–40. |
| [15] | Carrion, J. A., Estrella, A. E., Dols, F. A., Toro, M. Z., Rodriguez, M., Ridao, A. R. (2008). Environmental decision-support systems for evaluating the carrying capacity of land areas: Optimal site selection for grid connected photovoltaic power plants". Renewable and Sustainable Energy Reviews, 12: 2358–2380. |
| [16] | Juhi, J. (2013). A Research Study on DevelopingSolar Potential Map Using GIS. International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 2, Issue 3. |
| [17] | Asakereh A., Omid M., Alimardani R. and Sarmadian F. (2014). Developing a GIS - based Fuzzy AHP Model for Selecting Solar Energy Sites in Shodirwan Region in Iran. International Journal of Advanced Science and Technology 68: 37-48. |
| [18] | Sadeghi, M. & Karimi, M. (2017). GIS-Based Solar and Wind Turbine Site Selection usingMulti-Criteria Analysis: Case Study Tehran, Iran. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-4/W4. |
| [19] | McKee, T. B.; Doesken, N. J.; Kleist, J. (1993). The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference on Applied Climatology, Anaheim, CA, USA, 17–22, pp. 179–183. |
| [20] | Soro, G. E.; Anouman, D.; Goula Bi, T. A.; Srohorou, B. (2018). Characterization of sequences of meteorological dryness at various time scales in Sudanese climate: Case of the extreme northwest of the Ivory Coast. Larhyss J, 18. |
| [21] | Lawin, A. E.; Afouda, A.; Gosset, M.; Lebel, T. (2010). Variabilité comparée du régime pluviométrique aux échelles régionales et locales sur la Haute Vallée de l’Ouémé au Bénin. IAHS, 340, 61–68. Available online: http://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers15-08/010054997.pdf (accessed on 12 June 2019). |
| [22] | Ojosu, J. O. (1990). Theiso-radiation map for Nigeria. Solar and Wind Technology, 7 (5): 563-575. |
| [23] | United States Department of Agriculture, Forest Service (USFS) (2005). Assessing the Potential for Renewable Energy on National Forest System Lands, USDA Forest Service and NREL, United States. |
APA Style
Bashir Musa Adavuruku, Ezenwora Joel Aghaegbunam, Igwe Kingsley Chidozie, Moses Abiodun Stephen. (2023). Geospatial Analysis of Solar Energy Potentials in Niger State, Nigeria. American Journal of Modern Physics, 11(6), 95-100. https://doi.org/10.11648/j.ajmp.20221106.12
ACS Style
Bashir Musa Adavuruku; Ezenwora Joel Aghaegbunam; Igwe Kingsley Chidozie; Moses Abiodun Stephen. Geospatial Analysis of Solar Energy Potentials in Niger State, Nigeria. Am. J. Mod. Phys. 2023, 11(6), 95-100. doi: 10.11648/j.ajmp.20221106.12
AMA Style
Bashir Musa Adavuruku, Ezenwora Joel Aghaegbunam, Igwe Kingsley Chidozie, Moses Abiodun Stephen. Geospatial Analysis of Solar Energy Potentials in Niger State, Nigeria. Am J Mod Phys. 2023;11(6):95-100. doi: 10.11648/j.ajmp.20221106.12
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Download@article{10.11648/j.ajmp.20221106.12,
author = {Bashir Musa Adavuruku and Ezenwora Joel Aghaegbunam and Igwe Kingsley Chidozie and Moses Abiodun Stephen},
title = {Geospatial Analysis of Solar Energy Potentials in Niger State, Nigeria},
journal = {American Journal of Modern Physics},
volume = {11},
number = {6},
pages = {95-100},
doi = {10.11648/j.ajmp.20221106.12},
url = {https://doi.org/10.11648/j.ajmp.20221106.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmp.20221106.12},
abstract = {Solar energy has been identified as the largest renewable resource on earth, and it is more evenly distributed in Sunbelt locations than wind or biomass use. In this paper, geospatial methods were used to examine solar energy potentials in Niger State Northcentral Nigeria. Observed insolation data from Nigeria meteorological station was used over the study period 1988–2018. A Digital Elevation Map (DEM) and solar radiation of the area were used as input parameters. Slope and slope aspect were calculated using the DEM. Slope, slope aspect, and solar radiations of the study area were reclassified and weighted using a Hierarchical Analytical Process (AHP). The variability analysis was done using a standardized variable index. It was observed that the months of February, March, and April were the highest with average solar radiation of 6kWh/m2/day, while July and August, on average, had the lowest solar radiation of 4.4kWh/m2/day. The results showed the areas with moderate solar energy potential; good solar energy potential and very good solar energy potential. It was revealed that the amount of available solar power in Niger is 414.651 X 106 MWh. The study has demonstrated the potential of geospatial technology in the analysis of solar energy potentials, making it suitable for the investigation of other renewable energies. The results also identified the enormous availability of solar energy potentials in the state as well as the most suitable site for solar energy farms.},
year = {2023}
}
TY - JOUR T1 - Geospatial Analysis of Solar Energy Potentials in Niger State, Nigeria AU - Bashir Musa Adavuruku AU - Ezenwora Joel Aghaegbunam AU - Igwe Kingsley Chidozie AU - Moses Abiodun Stephen Y1 - 2023/01/10 PY - 2023 N1 - https://doi.org/10.11648/j.ajmp.20221106.12 DO - 10.11648/j.ajmp.20221106.12 T2 - American Journal of Modern Physics JF - American Journal of Modern Physics JO - American Journal of Modern Physics SP - 95 EP - 100 PB - Science Publishing Group SN - 2326-8891 UR - https://doi.org/10.11648/j.ajmp.20221106.12 AB - Solar energy has been identified as the largest renewable resource on earth, and it is more evenly distributed in Sunbelt locations than wind or biomass use. In this paper, geospatial methods were used to examine solar energy potentials in Niger State Northcentral Nigeria. Observed insolation data from Nigeria meteorological station was used over the study period 1988–2018. A Digital Elevation Map (DEM) and solar radiation of the area were used as input parameters. Slope and slope aspect were calculated using the DEM. Slope, slope aspect, and solar radiations of the study area were reclassified and weighted using a Hierarchical Analytical Process (AHP). The variability analysis was done using a standardized variable index. It was observed that the months of February, March, and April were the highest with average solar radiation of 6kWh/m2/day, while July and August, on average, had the lowest solar radiation of 4.4kWh/m2/day. The results showed the areas with moderate solar energy potential; good solar energy potential and very good solar energy potential. It was revealed that the amount of available solar power in Niger is 414.651 X 106 MWh. The study has demonstrated the potential of geospatial technology in the analysis of solar energy potentials, making it suitable for the investigation of other renewable energies. The results also identified the enormous availability of solar energy potentials in the state as well as the most suitable site for solar energy farms. VL - 11 IS - 6 ER -
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