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A CMOPSO based multi-objective optimization of renewable energy planning: Case of Turkey

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  • Deveci, Kaan
  • Güler, Önder

Abstract

In this paper, a two step multi-objective optimization framework of renewable energy planning is proposed for Turkey. In the first step, optimization process is performed and in the second step a multi-criteria decision making based selection strategy is applied to select a solution from non-dominated solution set. The objectives are selected as minimization of levelized cost of electricity plan and maximization of short term electricity generation from renewable energy resources. The optimization model considers different cases of renewable energy investment expenditures and the optimal use of resource availability according to renewable energy related targets of the country and estimated cost reduction due to technological learning. For optimization purposes, a state-of-the-art metaheuristic Competitive Multi-Objective Particle Swarm Optimizer (CMOPSO) is used. Results reveal that the 2023 targets of Turkey for hydroelectric, and biomass power plants are not optimal with any of the renewable energy investment case. In addition, solar photovoltaics and onshore wind energy should be the most preferred renewable resources. The findings of this paper can help decision makers not only to set optimized and reliable energy-related goals for Turkey but also to estimate the most suitable time for diffusion of offshore wind energy technology which is not currently under operation.

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  • Deveci, Kaan & Güler, Önder, 2020. "A CMOPSO based multi-objective optimization of renewable energy planning: Case of Turkey," Renewable Energy, Elsevier, vol. 155(C), pages 578-590.
  • Handle: RePEc:eee:renene:v:155:y:2020:i:c:p:578-590
    DOI: 10.1016/j.renene.2020.03.033
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    1. Ozcan, Mustafa, 2018. "The role of renewables in increasing Turkey's self-sufficiency in electrical energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2629-2639.
    2. Yu, L. & Li, Y.P. & Huang, G.H., 2016. "A fuzzy-stochastic simulation-optimization model for planning electric power systems with considering peak-electricity demand: A case study of Qingdao, China," Energy, Elsevier, vol. 98(C), pages 190-203.
    3. Hiremath, R.B. & Shikha, S. & Ravindranath, N.H., 2007. "Decentralized energy planning; modeling and application--a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(5), pages 729-752, June.
    4. 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.
    5. 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.
    6. Kahraman, Cengiz & Kaya, İhsan & Cebi, Selcuk, 2009. "A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process," Energy, Elsevier, vol. 34(10), pages 1603-1616.
    7. 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.
    8. Pereira, Sérgio & Ferreira, Paula & Vaz, A.I.F., 2017. "Generation expansion planning with high share of renewables of variable output," Applied Energy, Elsevier, vol. 190(C), pages 1275-1288.
    9. Ahmad, Salman & Tahar, Razman Mat, 2014. "Selection of renewable energy sources for sustainable development of electricity generation system using analytic hierarchy process: A case of Malaysia," Renewable Energy, Elsevier, vol. 63(C), pages 458-466.
    10. Arnette, Andrew & Zobel, Christopher W., 2012. "An optimization model for regional renewable energy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4606-4615.
    11. Shafiee, Shahriar & Topal, Erkan, 2009. "When will fossil fuel reserves be diminished?," Energy Policy, Elsevier, vol. 37(1), pages 181-189, January.
    12. Zakaria, A. & Ismail, Firas B. & Lipu, M.S. Hossain & Hannan, M.A., 2020. "Uncertainty models for stochastic optimization in renewable energy applications," Renewable Energy, Elsevier, vol. 145(C), pages 1543-1571.
    13. Andrea Herbst & Felipe Andrés Toro & Felix Reitze & Eberhard Jochem, 2012. "Introduction to Energy Systems Modelling," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(II), pages 111-135, June.
    14. Prebeg, Pero & Gasparovic, Goran & Krajacic, Goran & Duic, Neven, 2016. "Long-term energy planning of Croatian power system using multi-objective optimization with focus on renewable energy and integration of electric vehicles," Applied Energy, Elsevier, vol. 184(C), pages 1493-1507.
    15. Scheller, Fabian & Bruckner, Thomas, 2019. "Energy system optimization at the municipal level: An analysis of modeling approaches and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 444-461.
    16. 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.
    17. Chen, Yizhong & He, Li & Li, Jing & Cheng, Xi & Lu, Hongwei, 2016. "An inexact bi-level simulation–optimization model for conjunctive regional renewable energy planning and air pollution control for electric power generation systems," Applied Energy, Elsevier, vol. 183(C), pages 969-983.
    18. Muela, E. & Schweickardt, G. & Garces, F., 2007. "Fuzzy possibilistic model for medium-term power generation planning with environmental criteria," Energy Policy, Elsevier, vol. 35(11), pages 5643-5655, November.
    19. Şengül, Ümran & Eren, Miraç & Eslamian Shiraz, Seyedhadi & Gezder, Volkan & Şengül, Ahmet Bilal, 2015. "Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey," Renewable Energy, Elsevier, vol. 75(C), pages 617-625.
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    Cited by:

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    2. Selçuklu, Saltuk Buğra & Coit, D.W. & Felder, F.A., 2023. "Electricity generation portfolio planning and policy implications of Turkish power system considering cost, emission, and uncertainty," Energy Policy, Elsevier, vol. 173(C).
    3. Gezen, Mesliha & Karaaslan, Abdulkerim, 2022. "Energy planning based on Vision-2023 of Turkey with a goal programming under fuzzy multi-objectives," Energy, Elsevier, vol. 261(PA).
    4. Horasan, Muhammed Bilal & Kilic, Huseyin Selcuk, 2022. "A multi-objective decision-making model for renewable energy planning: The case of Turkey," Renewable Energy, Elsevier, vol. 193(C), pages 484-504.
    5. Karaaslan, Abdulkerim & Gezen, Mesliha, 2022. "The evaluation of renewable energy resources in Turkey by integer multi-objective selection problem with interval coefficient," Renewable Energy, Elsevier, vol. 182(C), pages 842-854.
    6. Hasan M. Salman & Jagadeesh Pasupuleti & Ahmad H. Sabry, 2023. "Review on Causes of Power Outages and Their Occurrence: Mitigation Strategies," Sustainability, MDPI, vol. 15(20), pages 1-34, October.

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