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Accelerating the Transition to sustainable energy: An intelligent decision support system for generation expansion planning with renewables

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  • Alabbasi, Abdulla
  • Sadhukhan, Jhuma
  • Leach, Matthew
  • Sanduk, Mohammed

Abstract

Sustainable energy planning for power generation with renewables requires a multidimensional approach since it directly impacts several sectors such as the national grid, the environment, and the economy. This paper suggests an intelligent decision based on a combination of the Analytical Hierarchy Process and Artificial Neural Networks to assist policymakers in evaluating future renewable energy investments for power generation. A case study of Bahrain's power system is used to illustrate the usefulness of the proposed planning approach and also to discuss its efficiency. The Analytical Hierarchy Process model outcomes revealed that wind turbines are the most appropriate technology for Bahrain with 32.5 % priority, followed by PV and CSP with 32.2 % and 16.3 %, respectively. Then, the Artificial Neural Networks model was structured based on the generated scenarios from the Analytical Hierarchy Process model, and it reached its best performance after 384 cycles. The integrated approach overcomes some of the Analytical Hierarchy Process's limitations and provides an intelligent tool for advanced assessment of a sustainable power system.

Suggested Citation

  • Alabbasi, Abdulla & Sadhukhan, Jhuma & Leach, Matthew & Sanduk, Mohammed, 2024. "Accelerating the Transition to sustainable energy: An intelligent decision support system for generation expansion planning with renewables," Energy, Elsevier, vol. 304(C).
    • Handle: RePEc:eee:energy:v:304:y:2024:i:c:s0360544224017729
    DOI: 10.1016/j.energy.2024.131999
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    1. Sadeghi, Hadi & Rashidinejad, Masoud & Abdollahi, Amir, 2017. "A comprehensive sequential review study through the generation expansion planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1369-1394.
    2. James S. Dyer, 1990. "Remarks on the Analytic Hierarchy Process," Management Science, INFORMS, vol. 36(3), pages 249-258, March.
    3. Amponsah, Nana Yaw & Troldborg, Mads & Kington, Bethany & Aalders, Inge & Hough, Rupert Lloyd, 2014. "Greenhouse gas emissions from renewable energy sources: A review of lifecycle considerations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 461-475.
    4. Yue, Cheng-Dar & Yang, Grant Gwo-Liang, 2007. "Decision support system for exploiting local renewable energy sources: A case study of the Chigu area of southwestern Taiwan," Energy Policy, Elsevier, vol. 35(1), pages 383-394, January.
    5. Alnaser, W.E. & Alnaser, N.W., 2011. "The status of renewable energy in the GCC countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3074-3098, August.
    6. Pereira, Sérgio & Ferreira, Paula & Vaz, A.I.F., 2016. "Optimization modeling to support renewables integration in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 316-325.
    7. Štreimikienė, Dalia & Šliogerienė, Jūratė & Turskis, Zenonas, 2016. "Multi-criteria analysis of electricity generation technologies in Lithuania," Renewable Energy, Elsevier, vol. 85(C), pages 148-156.
    8. Troldborg, Mads & Heslop, Simon & Hough, Rupert L., 2014. "Assessing the sustainability of renewable energy technologies using multi-criteria analysis: Suitability of approach for national-scale assessments and associated uncertainties," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 1173-1184.
    9. Kumar, Abhishek & Sah, Bikash & Singh, Arvind R. & Deng, Yan & He, Xiangning & Kumar, Praveen & Bansal, R.C., 2017. "A review of multi criteria decision making (MCDM) towards sustainable renewable energy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 596-609.
    10. Kaya, Tolga & Kahraman, Cengiz, 2010. "Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul," Energy, Elsevier, vol. 35(6), pages 2517-2527.
    11. Haddad, Brahim & Liazid, Abdelkrim & Ferreira, Paula, 2017. "A multi-criteria approach to rank renewables for the Algerian electricity system," Renewable Energy, Elsevier, vol. 107(C), pages 462-472.
    12. Sellak, Hamza & Ouhbi, Brahim & Frikh, Bouchra & Palomares, Iván, 2017. "Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1544-1577.
    13. Wu, Yunna & Xu, Chuanbo & Zhang, Ting, 2018. "Evaluation of renewable power sources using a fuzzy MCDM based on cumulative prospect theory: A case in China," Energy, Elsevier, vol. 147(C), pages 1227-1239.
    14. Wei, Max & Patadia, Shana & Kammen, Daniel M., 2010. "Putting renewables and energy efficiency to work: How many jobs can the clean energy industry generate in the US?," Energy Policy, Elsevier, vol. 38(2), pages 919-931, February.
    15. Golam Kabir & M. Ahsan Akhtar Hasin, 2013. "Multi-criteria inventory classification through integration of fuzzy analytic hierarchy process and artificial neural network," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 14(1), pages 74-103.
    16. James S. Dyer, 1990. "A Clarification of "Remarks on the Analytic Hierarchy Process"," Management Science, INFORMS, vol. 36(3), pages 274-275, March.
    17. Stein, Eric W., 2013. "A comprehensive multi-criteria model to rank electric energy production technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 640-654.
    18. Patlitzianas, Konstantinos D. & Pappa, Anna & Psarras, John, 2008. "An information decision support system towards the formulation of a modern energy companies' environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(3), pages 790-806, April.
    19. Abdulla Alabbasi & Jhuma Sadhukhan & Matthew Leach & Mohammed Sanduk, 2022. "Sustainable Indicators for Integrating Renewable Energy in Bahrain’s Power Generation," Sustainability, MDPI, vol. 14(11), pages 1-19, May.
    20. Çolak, Murat & Kaya, İhsan, 2017. "Prioritization of renewable energy alternatives by using an integrated fuzzy MCDM model: A real case application for Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 840-853.
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