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A neuro-fuzzy program approach for evaluating electric power generation systems

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  • Mamlook, Rustom
  • Akash, Bilal A
  • Mohsen, Mousa S

Abstract

This paper uses neuro-fuzzy programming to perform a comparison between the different electricity power generation options for Jordan. Different systems are considered: in addition to fossil fuel power plants, nuclear, solar, wind, and hydropower systems are evaluated. Based on cost-to-benefit ratios, results show that solar, wind, and hydropower are considered to be the best systems for electricity power generation. On the other hand, nuclear electricity turns out to be the worst choice, followed by fossil fuel electric power.

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  • Mamlook, Rustom & Akash, Bilal A & Mohsen, Mousa S, 2001. "A neuro-fuzzy program approach for evaluating electric power generation systems," Energy, Elsevier, vol. 26(6), pages 619-632.
    • Handle: RePEc:eee:energy:v:26:y:2001:i:6:p:619-632
    DOI: 10.1016/S0360-5442(01)00015-9
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    References listed on IDEAS

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    1. Mohsen, Mousa S. & Akash, Bilal A., 1998. "Potentials of wind energy development for water pumping in Jordan," Renewable Energy, Elsevier, vol. 14(1), pages 441-446.
    2. Akash, Bilal A. & Mohsen, Mousa S., 1998. "Potentials for development of hydro-powered water desalination in Jordan," Renewable Energy, Elsevier, vol. 13(4), pages 537-542.
    3. Al-Sakaf, Omar H., 1998. "Application possibilities of solar thermal power plants in Arab countries," Renewable Energy, Elsevier, vol. 14(1), pages 1-9.
    4. Trieb, F. & Nitsch, J., 1998. "Recommendations for the market introduction of solar thermal power stations," Renewable Energy, Elsevier, vol. 14(1), pages 17-22.
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    9. Deshmukh, M.K. & Deshmukh, S.S., 2008. "Modeling of hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(1), pages 235-249, January.
    10. Pohekar, S. D. & Ramachandran, M., 2004. "Application of multi-criteria decision making to sustainable energy planning--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(4), pages 365-381, August.
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    16. Suganthi, L. & Iniyan, S. & Samuel, Anand A., 2015. "Applications of fuzzy logic in renewable energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 585-607.
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    19. Jaber, J. O. & Al-Sarkhi, A. & Akash, B. A. & Mohsen, M. S., 2004. "Medium-range planning economics of future electrical-power generation options," Energy Policy, Elsevier, vol. 32(3), pages 357-366, February.
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