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Estimation and Ranking of the Photovoltaic Energy Potential for Local Government Areas in Akwa Ibom State, Nigeria

Received: 25 October 2016     Accepted: 17 November 2016     Published: 13 January 2017
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Abstract

In this paper, a comparative assessment and ranking of the solar photovoltaic (PV) generation potential and unit cost of energy in ten Local Government Areas (LGAs) in Akwa Ibom State (AKS), Nigeria is presented. The meteorological data used in this study was obtained from the National Aeronautics and Space Administration Surface meteorology and Solar Energy (NASA SSE) website. Photovoltaic System (PVSyst.) simulation software, (Version 5.06) was used for the simulation and determination of the PV energy generation potential and unit cost of energy in each of the LGAs considered. The unit cost of energy in Naira/kWh and available energy per year (in kWh) are the two major parameters used to rank the LGAs from the top to bottom. A mathematical model relating the unit cost of energy and available energy in AKS is also developed. From the simulation results, Uyo LGA had the highest yearly energy output of 12422 kWh and lowest unit cost of energy of 104 Naira/kWh, while Uruan LGA had the lowest yearly energy output of 10591 kWh and highest unit cost of energy of 114 Naira/kWh. The results from this research are relevant for facilitating investment and adoption of photovoltaic power systems in AKS and to make realistic economic projections.

Published in Science Journal of Energy Engineering (Volume 4, Issue 6)
DOI 10.11648/j.sjee.20160406.14
Page(s) 68-77
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), 2017. Published by Science Publishing Group

Keywords

Renewable Energy, Solar Radiation, Unit Cost of Energy, Photovoltaic, Energy Potential, Optimal Tilt Angle

References
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[2] Ellabban, O., Abu-Rub, H., & Blaabjerg, F. (2014). Renewable energy resources: Current status, future prospects and their enabling technology. Renewable and Sustainable Energy Reviews, 39, 748-764.
[3] Ahuja, D., & Tatsutani, M. (2009). Sustainable energy for developing countries. SAPI EN. S. Surveys and Perspectives Integrating Environment and Society, (2.1).
[4] Acar, C., & Dincer, I. (2014). Comparative assessment of hydrogen production methods from renewable and non-renewable sources. International journal of hydrogen energy, 39 (1), 1-12.
[5] Kalogirou, S. A. (2013). Solar energy engineering: processes and systems. Academic Press.
[6] Bhusare, S. R. (2015). Renewable Energy: An Eco-Friendly Alternative?. Quest-The Journal of UGC-HRDC Nainital, 9 (2), 152-155.
[7] Letcher, T. M. (Ed.). (2008). Future energy: improved, sustainable and clean options for our planet. Elsevier.
[8] Luque, A., & Hegedus, S. (Eds.). (2011). Handbook of photovoltaic science and engineering. John Wiley & Sons.
[9] Perpinan, O., Lorenzo, E., & Castro, M. A. (2007).On the calculation of energy produced by a PV grid‐connected system. Progress in Photovoltaics: research and applications, 15 (3), 265-274.
[10] Nordahl, S. H. (2012). Design of Roof PV Installation in Oslo.
[11] Wiginton, L. K., Nguyen, H. T., and Pearce, J. M. (2010). Quantifying Rooftop Solar Photovoltaic Potential for Regional Renewable Energy Policy. Computers, Environment and Urban Systems, 34(4); 345-357.
[12] MacDonald, S. W. (2014). Quantifying Rooftop Solar Power for the City of Waterloo, Ontario. Unpublished Ph. D Thesis, Wilfrid Laurier University, Ontario, Canada.
[13] Ghosh, S. and Vale, R. (2006). The Potential for Solar Energy Use in a New Zealand Residential Neighbourhood: A Case Study Considering the Effect on CO2 emissions and the Possible Benefits of Changing Roof Form. Australasian Journal of Environmental Management, 13 (4): 216-225.
[14] Green, M., Watt, M. and Wenham S. (2009) Applied Photovoltaics. Sydney: The University of New South Wales. pp 593-610.
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  • APA Style

    Abasi-obot Iniobong Edifon, Nkan Imo Edwin, Inyang Aniekan Ben. (2017). Estimation and Ranking of the Photovoltaic Energy Potential for Local Government Areas in Akwa Ibom State, Nigeria. Science Journal of Energy Engineering, 4(6), 68-77. https://doi.org/10.11648/j.sjee.20160406.14

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    ACS Style

    Abasi-obot Iniobong Edifon; Nkan Imo Edwin; Inyang Aniekan Ben. Estimation and Ranking of the Photovoltaic Energy Potential for Local Government Areas in Akwa Ibom State, Nigeria. Sci. J. Energy Eng. 2017, 4(6), 68-77. doi: 10.11648/j.sjee.20160406.14

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    AMA Style

    Abasi-obot Iniobong Edifon, Nkan Imo Edwin, Inyang Aniekan Ben. Estimation and Ranking of the Photovoltaic Energy Potential for Local Government Areas in Akwa Ibom State, Nigeria. Sci J Energy Eng. 2017;4(6):68-77. doi: 10.11648/j.sjee.20160406.14

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  • @article{10.11648/j.sjee.20160406.14,
      author = {Abasi-obot Iniobong Edifon and Nkan Imo Edwin and Inyang Aniekan Ben},
      title = {Estimation and Ranking of the Photovoltaic Energy Potential for Local Government Areas in Akwa Ibom State, Nigeria},
      journal = {Science Journal of Energy Engineering},
      volume = {4},
      number = {6},
      pages = {68-77},
      doi = {10.11648/j.sjee.20160406.14},
      url = {https://doi.org/10.11648/j.sjee.20160406.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjee.20160406.14},
      abstract = {In this paper, a comparative assessment and ranking of the solar photovoltaic (PV) generation potential and unit cost of energy in ten Local Government Areas (LGAs) in Akwa Ibom State (AKS), Nigeria is presented. The meteorological data used in this study was obtained from the National Aeronautics and Space Administration Surface meteorology and Solar Energy (NASA SSE) website. Photovoltaic System (PVSyst.) simulation software, (Version 5.06) was used for the simulation and determination of the PV energy generation potential and unit cost of energy in each of the LGAs considered. The unit cost of energy in Naira/kWh and available energy per year (in kWh) are the two major parameters used to rank the LGAs from the top to bottom. A mathematical model relating the unit cost of energy and available energy in AKS is also developed. From the simulation results, Uyo LGA had the highest yearly energy output of 12422 kWh and lowest unit cost of energy of 104 Naira/kWh, while Uruan LGA had the lowest yearly energy output of 10591 kWh and highest unit cost of energy of 114 Naira/kWh. The results from this research are relevant for facilitating investment and adoption of photovoltaic power systems in AKS and to make realistic economic projections.},
     year = {2017}
    }
    

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    AU  - Abasi-obot Iniobong Edifon
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    AB  - In this paper, a comparative assessment and ranking of the solar photovoltaic (PV) generation potential and unit cost of energy in ten Local Government Areas (LGAs) in Akwa Ibom State (AKS), Nigeria is presented. The meteorological data used in this study was obtained from the National Aeronautics and Space Administration Surface meteorology and Solar Energy (NASA SSE) website. Photovoltaic System (PVSyst.) simulation software, (Version 5.06) was used for the simulation and determination of the PV energy generation potential and unit cost of energy in each of the LGAs considered. The unit cost of energy in Naira/kWh and available energy per year (in kWh) are the two major parameters used to rank the LGAs from the top to bottom. A mathematical model relating the unit cost of energy and available energy in AKS is also developed. From the simulation results, Uyo LGA had the highest yearly energy output of 12422 kWh and lowest unit cost of energy of 104 Naira/kWh, while Uruan LGA had the lowest yearly energy output of 10591 kWh and highest unit cost of energy of 114 Naira/kWh. The results from this research are relevant for facilitating investment and adoption of photovoltaic power systems in AKS and to make realistic economic projections.
    VL  - 4
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Author Information
  • Department of Electrical/Electronic Engineering, Akwa Ibom State University, Ikot Akpaden, Mkpat Enin, Nigeria

  • Department of Electrical/Electronic Engineering, Akwa Ibom State University, Ikot Akpaden, Mkpat Enin, Nigeria

  • Department of Electrical/Electronic Engineering, Akwa Ibom State Polytechnic, Ikot Osurua, Ikot Ekpene, Nigeria

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