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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.
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    10. Choudhary, Devendra & Shankar, Ravi, 2012. "An STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: A case study from India," Energy, Elsevier, vol. 42(1), pages 510-521.
    11. Zhang, Weishi & Wang, Can & Zhang, Long & Xu, Ying & Cui, Yuanzheng & Lu, Zifeng & Streets, David G., 2018. "Evaluation of the performance of distributed and centralized biomass technologies in rural China," Renewable Energy, Elsevier, vol. 125(C), pages 445-455.
    12. Jaber, Jamal O. & Mamlook, Rustom & Awad, Wa'el, 2005. "Evaluation of energy conservation programs in residential sector using fuzzy logic methodology," Energy Policy, Elsevier, vol. 33(10), pages 1329-1338, July.
    13. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Decision analysis in energy and environmental modeling: An update," Energy, Elsevier, vol. 31(14), pages 2604-2622.
    14. Hrayshat, Eyad S., 2005. "Wind availability and its potentials for electricity generation in Tafila, Jordan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 9(1), pages 111-117, February.
    15. Bass, Robert J. & Malalasekera, Weeratunge & Willmot, Peter & Versteeg, Henk K., 2011. "The impact of variable demand upon the performance of a combined cycle gas turbine (CCGT) power plant," Energy, Elsevier, vol. 36(4), pages 1956-1965.
    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.
    17. Parajuli, Ranjan & Dalgaard, Tommy & Jørgensen, Uffe & Adamsen, Anders Peter S. & Knudsen, Marie Trydeman & Birkved, Morten & Gylling, Morten & Schjørring, Jan Kofod, 2015. "Biorefining in the prevailing energy and materials crisis: a review of sustainable pathways for biorefinery value chains and sustainability assessment methodologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 244-263.
    18. Shen, Yung-Chi & Lin, Grace T.R. & Li, Kuang-Pin & Yuan, Benjamin J.C., 2010. "An assessment of exploiting renewable energy sources with concerns of policy and technology," Energy Policy, Elsevier, vol. 38(8), pages 4604-4616, August.
    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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