In large quantities, solar energy is released from the sun's surface. However, we can convert only some part of its reaching the earth's surface into valuable forms of energy for utilization such as thermal, electrical, or mechanical. As proposed in this research to determine the most suitable site for the installation of Photovoltaic power solar station in Borno state, Nigeria using satellite images. Annual global solar irradiance for satellite images was obtained and validated with annual global irradiance calculated from meteorological data. It can also determine Slope, Aspect, Road, Grid network, and temperature. We used an analytical hierarchy process to determine the percentage weight of each factor. We have also applied the Weighted Overlay tool to multiply the input raster, producing a final constraints layer of the most suitable area. The Annual global solar irradiance was obtained as 2240.10 Kilo-Watt-hour/meter2/year for meteorological station data and 2244.98 Kilo-Watt-hour/meter2/year for satellite images data with the validation difference of 0.88 Kilo-Watt-hour/meter2/year. The coefficient of determination R2=0.778. For Slope = 0 to 89.18-degree rise, Aspect =-1 to 359 degrees, Road & Grid network = 0 to 1.31km and Temperature = 22.20 to 29.80 degrees Celsius. The weight of each factor was determined as: Slope=13%, Aspect=13% Road & Grid =5%, Temperature=5% and Global solar irradiance =64%. The most suitable area for installing a solar station was an estimated 39,426 square kilometers, mostly in the northern and some central parts of the study area, which is about 54.5% of the total land mass of Borno state. The annual global solar irradiance obtained from satellite images was converted into electric energy by different solar cell technologies: Single crystalline Silicone=1101Mega Watt, Multi crystalline Silicone=1019 Mega Watt, amorphous Silicone=440.5 Megawatt and Cadmium Tellurium=798.5 Megawatt. It found that the main factors for installing the solar station were global solar irradiance, temperature, topographical Slope and aspect, and nearest to the road and grid network. The global solar irradiance estimated in the study area is adequate to generate sufficient electrical energy for the Borno state. We found the satellite imagery data method to effectively identify suitable sites for the solar station to install a Photovoltaic power plant.
| Published in | American Journal of Modern Energy (Volume 9, Issue 1) |
| DOI | 10.11648/j.ajme.20230901.12 |
| Page(s) | 17-26 |
| 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), 2023. Published by Science Publishing Group |
Electrical Energy, Global Solar Irradiance, Meteorological Station, Photovoltaic Cell, Satellite Image
| [1] | G. F, Ibeh, G. AAgbo, J. E Ekpe & B. C Isikwue. Estimation of global solar radiation at Calabar using two models In this study, Journal of Natural Sciences Research ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) www.iiste.org (2012). |
| [2] | C. Augustine, & M. N Nnabuchi. Relationship between Global Solar Radiation and Sunshine Hours for Calabar, Port-Harcourt and Enugu, Nigeria. International Journal of Physical Sciences Vol. 4 (4). pp 182-188. (2009). |
| [3] | M. Auwal & T. H. Darma. Estimation of Global Solar Radiation for Kano State Nigeria Based on Meteorological Data IOSR Journal of Applied Physics (IOSR-JAP) e-ISSN: 2278-4861. Vol. 6 (6) pp19-23 www.iosrjournals.org (2014). |
| [4] | R, Kannan, K. C, Leong, R, Osman, H. K, Ho & C. P. Tso. Life cycle assessment study of solar P. V. systems: An example of a 2.7 kW distributed solar P.V. system in Singapore. Solar Energy; vol. 80 pp 555–563. (2006). |
| [5] | T. Wenjun, Y. Kun, H. Jie, & Q. Jun. Quality control and estimation of global solar radiation in China www.sciencedirect.com Solar Energy vol. 84 pp. 466–475 (2010). |
| [6] | A. Alkasim, A. A. Hayatu, & M. K Salihu. Estimation of Land Surface Temperature of Yola, North Eastern Nigeria Using Landsat 7 ETM+ Satellite Image. Energy and Power Engineering, vol. 10, pp 449-456. Oct. 2018. https://doi.org/10.4236/epe.2018.1010028 |
| [7] | E. O Falayi & A. B, Rabiu, Estimation of global solar radiation using cloud cover and surface temperature in some selected cities in Nigeria Archives of Physics Research, vol. 2 (3): pp99-109 (http://scholarsresearchlibrary.com/archive.html) (2011). |
| [8] | B. C. Isikwue, A. N. Amah, & P. O. Agada, Empirical Model for the Estimation of Global Solar Radiation in Makurdi, Nigeria Global Journal of Science Frontier Research Physics & Space Science; 12 (1 Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Inc. (USA) Online ISSN: 2249-4626 & Print ISSN: 0975-5896 (2012). |
| [9] | K. R. Adhikari, B. Bhattarai, & S. Gurung. Estimating Global Solar Radiation for Four Selected Sites in Nepal Using Sunshine Hours, Temperature, and Relative Humidity. Journal of Power and Energy Engineering, vol. 1, pp1-9. (2013). |
| [10] | M. Kautilya, S. Abubakar & I. N Itodo. Prediction of Global Solar Radiation Using Angstrom-Page Equation Model for Makurdi Benue State, Nigeria American Journal of Engineering Research (AJER) e-ISSN: 2320-0847 p-ISSN: 2320-0936 Volume-03, Issue-08, pp-145-150 www.ajer.org (2014). |
| [11] | A. A. Garba, R. O. Amusat, & Y. H. Ngadda, Estimation Of Global Solar Radiation Using Sunshine-Based Model In Maiduguri, North East, Nigeria Applied Research Journal vol. 2 (1), pp19-26, Available online at http://arjournal.org ISSN: 2423-4796 (2015). |
| [12] | M, Ado A. Babangida & U. Yakubu Evaluation of Empirical Formulae for Estimating Global Radiation at Jos IOSR Journal of Applied Physics (IOSR-JAP) e-ISSN: 2278-4861. Vol. 7 (4), pp 01-06 www.iosrjournals.org (2015). |
| [13] | M. K. Salihu, Y. I. Bello & A. Japari Mapping The Spatial Distribution Of Spectral Radiance Over Mubi Town Using Satellite Images Landsat 7 Etm+ Research journals Journal of Geography; vol. 3 (3), pp 1-7 ISSN 2349-5367 (2016). |
| [14] | A. Alkasim, A. B. Dikko, & E. S. Eyube, An empirical model for the estimation of global and diffuse Solar radiation over Yola, northeastern Nigeria based on air Temperature IJRDO-Journal of Applied Science ISSN: 2455-6653 3 (9): 14-24 (2017). |
| [15] | S. Chokmaviroj, R. Wattanapong, & Y. Suchart. Performance of a 500 kW Grid Connected Photovoltaic System at Mae Hong Son Province, Thailand, Renewable Energy; vol. 31 (1): pp19-28. (2006). |
| [16] | J. H., So, Y. S, Jung, B. G. Yu, H. M Hwang, & G. J Yu. Performance results and analysis of large-scale P.V. system. In: IEEE 4th World Conference on Photovoltaic energy conversion, (2006). |
| [17] | S, Pacca, D. Sivaraman & G. A Keoleian. Parameter affecting the life cycle performance of P.V. technologies and systems. Energy Policy 35, pp3316-3326 (2007). |
| [18] | Alazraki R, & Haselip J. Assessing the uptake of small-scale photovoltaic electricity production in Argentina: the premier project. Journal of Cleaner Production. Vol. 15, pp131-142. (2007). |
| [19] | S. Rehman, M. A. Bader, & S. A. Al-Moallem. Cost of solar energy generated using P.V. panels. Renewable and Sustainable Energy Reviews; vol. 11, pp 1843–57. (2007). |
| [20] | P. Denholm & R. Margolis. "Evaluating the limits of solar photovoltaic (P.V.) in traditional electric power systems." Energy policy 35.5 pp2852-2861. (2007). |
| [21] | T. Osram & P. L Chapman. "Comparison of photovoltaic array maximum power point tracking techniques," IEEE Trans. on Energy Conversion, vol. 22 (2) pp 439-445 (2007). |
| [22] | H. German, & A. Hepbasli, Determination of the Optimum Tilt Angle of Solar Collectors for Building Applications, Building and Environment vol. 42 (2) pp 779-783. (2007). |
| [23] | W. Xiao, N. Ozog, & W. G. Dunford, "Topology study of photovoltaic interface for maximum power point tracking," IEEE Trans. on Ind. Electron, vol. 54 (3), pp1696-1704. (2007). |
| [24] | A. Stoppato. Life cycle assessment of photovoltaic electricity generation. Energy; vol. 33 pp 224–32. (2008). |
| [25] | R. Gules, D. J. Pacheco, H. L. Hey, & J. Imhoff. "A maximum power point tracking system with parallel connection for P.V. standalone applications." Industrial Electronics, IEEE Transactions on, vol. 55 (7): pp2674-2683. (2014). |
| [26] | A. Mills, R. Wiser, G. Barbose, & W. Golove, "The impact of retail rate structures on the economics of commercial photovoltaic systems in California."Energy Policy, Elsevier 36 (9): pp 3266-3277 (2009). |
| [27] | F.O. Hocaoglu, O. N. Gerek, & M. Kurban, The Effect of Model Generated Solar Radiation Data Usage in Hybrid (Wind–P.V.) Sizing Studies, Energy Conversion and Management, vol. 50, pp 2956–2963 (2009). |
| [28] | S. T. Apeh, Alleviating Inadequate Electrical Power Generation in Nigeria through Mini Solar Power System, PhD. Thesis, University of Benin, Benin City, Nigeria (2010). |
| [29] | W. Zhou, C. Lou, L. Lu, & H. Yang, Current Status of Research on Optimum Sizing of Standalone Hybrid Solar-Wind Power Generation Systems, Applied Energy, vol. 87 (2) pp380 – 389. (2010). |
| [30] | S. Jalilzadeh, H. Kord, & A. Rohani, Optimization and Techno-Economic Analysis of Autonomous Photovoltaic/Fuel Cell Energy System, ECTI Transaction on Electrical Engineering, Electronics and Communications, February, vol. 8 (1), pp 118–125. (2010). |
| [31] | B. Parida, S. Iniyan, & R. Goic. A Review of Solar Photovoltaic Technologies, Renewable and Sustainable Energy Reviews, vol. 15, pp 1625–1636 (2011). |
| [32] | T. Gaurav, I. Mohd. & K. S. Raj. Generation and Transmission of Electrical Power through Solar Power Satellite (SPS) International Journal of Modern Engineering Research (IJMER) vol. 3 (1), pp 595-598 ISSN: 2249-6645 www.ijmer.com (2013). |
| [33] | S. Ruikar & D. D. Doye, "Image Denoising Using Wavelet Transform," 2010 2nd International Conference on Mechanical and Electrical Technology, Singapore, vol. 10 (12), pp 509-515. (2010). |
| [34] | Matlab 7.1 (R2010a), "Image Processing Toolbox," and "Wavelet.Toolbox". |
| [35] | S. G. Chang, B. Yu, & M. Vetterli, "Adaptive Wavelet Thresholding for Image Denoising and Compression," IEEE Trans. Image Processing, vol 9 (9), pp 1532-1546. (2000). |
| [36] | G. Andria, F. Attivissimo, G. Cavone, N. Giaquinto & A. M. L. Lanzolla “Linear filtering of 2-D wavelet coefficients for denoising ultrasound medical images” 2012 Elsevier Ltd. (2012). |
| [37] | H. Hassan & A. Saparon "Still Image Denoising Based on Discrete Wavelet Transform" 2011 IEEE International Conference on System Engineering and Technology (2011). |
| [38] | M. Vijay, L. S. Devi, M. Shankaravadivu & M. Santhanamari “Image Denoising Based On Adaptive Spatial and Wavelet Thresholding Methods” IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012) March 30, 31, (2012). |
| [39] | J. J. Wang, Y. Y. Jing, C. F. Zhang, & J. H. Zhao. Review on multi-criteria decision analysis aid in sustainable energy decision-making. Renewable and Sustainable Energy Reviews, vol. 13 (9), pp 2263–2278. doi: 10.1016/j.rser.2009.06.021 (2009). |
| [40] | M. Ryan. GIS-based solar farms site selection using analytic hierarchy process (AHP) in Karapinar region, Konya/Turkey. Renewable & Sustainable Energy Reviews, 28: pp11-17. (2013). |
| [41] | A. J. Carrion, E. A. Estrella, A. F. Dols, Z. M. Toro, M. Rodriquez. & R. A. Ridao. Environmental decision-support systems for evaluating the carrying capacity of land areas: Optimal site selection for grid-connected photovoltaic power plants, Renew. Sust. Energy. Rev., 12, pp 2358–2380. (2008). |
| [42] | A. Castle, & Y. Chalabi. Siting of large P.V. farms in the Al-Batinah region of Oman. Paper presented at the Energy Conference and Exhibition (EnergyCon), 2010 IEEE International (2010). |
| [43] | H. A. Effat & O. A. Hassan. Designing and evaluating three alternative highway routes using the Analytical Hierarchy Process and the minor cost path analysis, application in the Sinai Peninsula, Egypt, the Egyptian Journal of remote sensing and space science. Vol. 16 (2), pp 141-151. https://doi.org/10.1016/j.ejrs.2013.08.001 (2013). |
| [44] | B. J. Huang, F. S. Sun & R. W. Ho. Near-maximum-power-point-operation (nMPPO) design of photovoltaic power generation system. Solar Energy; vol. 80, pp1003–20. (2006). |
| [45] | E. Radziemska. The effect of temperature on the power drop in crystalline silicon solar cells. Renew. Energy, vol. 28, pp 1–12. (2003). |
| [46] | National Renewable Energy Laboratory of the USA. https://www.nrel.gov. Accessed 20 June 2020. |
APA Style
Mohammed Karimu Salihu, Ali Danladi, Medugu Dale Waida. (2023). Siting of Photovoltaic (P.V.) Potential Station in the Borno State of Nigeria, Using Satellite Images. American Journal of Modern Energy, 9(1), 17-26. https://doi.org/10.11648/j.ajme.20230901.12
ACS Style
Mohammed Karimu Salihu; Ali Danladi; Medugu Dale Waida. Siting of Photovoltaic (P.V.) Potential Station in the Borno State of Nigeria, Using Satellite Images. Am. J. Mod. Energy 2023, 9(1), 17-26. doi: 10.11648/j.ajme.20230901.12
AMA Style
Mohammed Karimu Salihu, Ali Danladi, Medugu Dale Waida. Siting of Photovoltaic (P.V.) Potential Station in the Borno State of Nigeria, Using Satellite Images. Am J Mod Energy. 2023;9(1):17-26. doi: 10.11648/j.ajme.20230901.12
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Download@article{10.11648/j.ajme.20230901.12,
author = {Mohammed Karimu Salihu and Ali Danladi and Medugu Dale Waida},
title = {Siting of Photovoltaic (P.V.) Potential Station in the Borno State of Nigeria, Using Satellite Images},
journal = {American Journal of Modern Energy},
volume = {9},
number = {1},
pages = {17-26},
doi = {10.11648/j.ajme.20230901.12},
url = {https://doi.org/10.11648/j.ajme.20230901.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajme.20230901.12},
abstract = {In large quantities, solar energy is released from the sun's surface. However, we can convert only some part of its reaching the earth's surface into valuable forms of energy for utilization such as thermal, electrical, or mechanical. As proposed in this research to determine the most suitable site for the installation of Photovoltaic power solar station in Borno state, Nigeria using satellite images. Annual global solar irradiance for satellite images was obtained and validated with annual global irradiance calculated from meteorological data. It can also determine Slope, Aspect, Road, Grid network, and temperature. We used an analytical hierarchy process to determine the percentage weight of each factor. We have also applied the Weighted Overlay tool to multiply the input raster, producing a final constraints layer of the most suitable area. The Annual global solar irradiance was obtained as 2240.10 Kilo-Watt-hour/meter2/year for meteorological station data and 2244.98 Kilo-Watt-hour/meter2/year for satellite images data with the validation difference of 0.88 Kilo-Watt-hour/meter2/year. The coefficient of determination R2=0.778. For Slope = 0 to 89.18-degree rise, Aspect =-1 to 359 degrees, Road & Grid network = 0 to 1.31km and Temperature = 22.20 to 29.80 degrees Celsius. The weight of each factor was determined as: Slope=13%, Aspect=13% Road & Grid =5%, Temperature=5% and Global solar irradiance =64%. The most suitable area for installing a solar station was an estimated 39,426 square kilometers, mostly in the northern and some central parts of the study area, which is about 54.5% of the total land mass of Borno state. The annual global solar irradiance obtained from satellite images was converted into electric energy by different solar cell technologies: Single crystalline Silicone=1101Mega Watt, Multi crystalline Silicone=1019 Mega Watt, amorphous Silicone=440.5 Megawatt and Cadmium Tellurium=798.5 Megawatt. It found that the main factors for installing the solar station were global solar irradiance, temperature, topographical Slope and aspect, and nearest to the road and grid network. The global solar irradiance estimated in the study area is adequate to generate sufficient electrical energy for the Borno state. We found the satellite imagery data method to effectively identify suitable sites for the solar station to install a Photovoltaic power plant.},
year = {2023}
}
TY - JOUR T1 - Siting of Photovoltaic (P.V.) Potential Station in the Borno State of Nigeria, Using Satellite Images AU - Mohammed Karimu Salihu AU - Ali Danladi AU - Medugu Dale Waida Y1 - 2023/07/20 PY - 2023 N1 - https://doi.org/10.11648/j.ajme.20230901.12 DO - 10.11648/j.ajme.20230901.12 T2 - American Journal of Modern Energy JF - American Journal of Modern Energy JO - American Journal of Modern Energy SP - 17 EP - 26 PB - Science Publishing Group SN - 2575-3797 UR - https://doi.org/10.11648/j.ajme.20230901.12 AB - In large quantities, solar energy is released from the sun's surface. However, we can convert only some part of its reaching the earth's surface into valuable forms of energy for utilization such as thermal, electrical, or mechanical. As proposed in this research to determine the most suitable site for the installation of Photovoltaic power solar station in Borno state, Nigeria using satellite images. Annual global solar irradiance for satellite images was obtained and validated with annual global irradiance calculated from meteorological data. It can also determine Slope, Aspect, Road, Grid network, and temperature. We used an analytical hierarchy process to determine the percentage weight of each factor. We have also applied the Weighted Overlay tool to multiply the input raster, producing a final constraints layer of the most suitable area. The Annual global solar irradiance was obtained as 2240.10 Kilo-Watt-hour/meter2/year for meteorological station data and 2244.98 Kilo-Watt-hour/meter2/year for satellite images data with the validation difference of 0.88 Kilo-Watt-hour/meter2/year. The coefficient of determination R2=0.778. For Slope = 0 to 89.18-degree rise, Aspect =-1 to 359 degrees, Road & Grid network = 0 to 1.31km and Temperature = 22.20 to 29.80 degrees Celsius. The weight of each factor was determined as: Slope=13%, Aspect=13% Road & Grid =5%, Temperature=5% and Global solar irradiance =64%. The most suitable area for installing a solar station was an estimated 39,426 square kilometers, mostly in the northern and some central parts of the study area, which is about 54.5% of the total land mass of Borno state. The annual global solar irradiance obtained from satellite images was converted into electric energy by different solar cell technologies: Single crystalline Silicone=1101Mega Watt, Multi crystalline Silicone=1019 Mega Watt, amorphous Silicone=440.5 Megawatt and Cadmium Tellurium=798.5 Megawatt. It found that the main factors for installing the solar station were global solar irradiance, temperature, topographical Slope and aspect, and nearest to the road and grid network. The global solar irradiance estimated in the study area is adequate to generate sufficient electrical energy for the Borno state. We found the satellite imagery data method to effectively identify suitable sites for the solar station to install a Photovoltaic power plant. VL - 9 IS - 1 ER -
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