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Arabian Journal for Science and Engineering

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23-11-2020 | Research Article-Systems Engineering

Optimization of Green Energy Alternatives Under Uncertainty

Author: Beyzanur Cayir Ervural

Published in: Arabian Journal for Science and Engineering | Issue 2/2021

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Abstract

Fuzzy goal programming is one of the most substantial optimization instruments for energy management decisions involving a large number of stakeholders from various fields. Green energy resources are among the new energy management strategies closely followed by the whole world. It is essential to give priority to renewable energy sources rather than fossils because of their many advantages. However, optimal investment plans should be developed by analyzing the technical–economic and environmental effects of existing green energy resources on society and by taking into account other prominent balances and authorities. In this study, we present a practical decision model-fuzzy goal programming approach- which combines the optimum distribution of green power plants to achieve a balance between energy consumption/production quantities smoothly and to provide sustainable development principles according to Turkey’s energy goals under the uncertain environment. In order to evaluate the stability of the model, a sensitivity analysis was performed to the model. We discuss the obtained results for the advancement of long-term green energy strategies that will guide urban planners and energy policy-makers to make strategically important decisions within a sustainable and green energy framework.

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Ervural, B.C.: A combined methodology for evaluation of electricity distribution companies in Turkey. J. Intell. Fuzzy Syst. 38(1), 1059–1069 (2020). https://doi.org/10.3233/jifs-179468CrossRef

MENR: Republic of Turkey Ministry of Energy and Natural Resources—Mainpage. [Online]. https://www.enerji.gov.tr/en-US/Mainpage (2016). Accessed 17 Oct 2019

Sadeghi, A.; Larimian, T.; Molabashi, A.: Evaluation of renewable energy sources for generating electricity in province of Yazd: a fuzzy Mcdm approach. Proc. Soc. Behav. Sci. 62, 1095–1099 (2012). https://doi.org/10.1016/j.sbspro.2012.09.187CrossRef

Ervural, B.C.; Zaim, S.; Delen, D.: A two-stage analytical approach to assess sustainable energy efficiency. Energy 164, 822–836 (2018). https://doi.org/10.1016/j.energy.2018.08.213CrossRef

San Cristóbal, J.R.: A goal programming model for the optimal mix and location of renewable energy plants in the north of Spain. Renew. Sustain. Energy Rev. 16(7), 4461–4464 (2012). https://doi.org/10.1016/j.rser.2012.04.039CrossRef

Biswas, A.; Pal, B.B.: Application of fuzzy goal programming technique to land use planning in agricultural system. Omega 33(5), 391–398 (2005). https://doi.org/10.1016/J.OMEGA.2004.07.003CrossRef

Chang, N.-B.; Wang, S.F.: A fuzzy goal programming approach for the optimal planning of metropolitan solid waste management systems. Eur. J. Oper. Res. 99(2), 303–321 (1997). https://doi.org/10.1016/S0377-2217(96)00024-0CrossRefMATH

Zadeh, L.A.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965). https://doi.org/10.1016/S0019-9958(65)90241-XCrossRefMATH

Sadeghi, M.; Hosseini, H.M.: Energy supply planning in Iran by using fuzzy linear programming approach (regarding uncertainties of investment costs). Energy Policy 34(9), 993–1003 (2006). https://doi.org/10.1016/j.enpol.2004.09.005CrossRef

10.

Huang, Z.; Yu, H.; Chu, X.; Peng, Z.: A goal programming based model system for community energy plan. Energy 134, 893–901 (2017). https://doi.org/10.1016/J.ENERGY.2017.06.057CrossRef

11.

Bitar, S.D.B.; da Costa Junior, C.T.; Barreiros, J.A.L.; Neto, J.C.L.: Expansion of isolated electrical systems in the Amazon: an approach using fuzzy multi-objective mathematical programming. Energy Policy 37(10), 3899–3905 (2009). https://doi.org/10.1016/j.enpol.2009.05.012CrossRef

12.

Bilbao-Terol, A.; Arenas-Parra, M.; Cañal-Fernández, V.: A fuzzy multi-objective approach for sustainable investments. Expert Syst. Appl. 39(12), 10904–10915 (2012). https://doi.org/10.1016/J.ESWA.2012.03.034CrossRef

13.

Incekara, C.O.: Use of an optimization model for optimization of Turkey’s energy management by inclusion of renewable energy sources. Int. J. Environ. Sci. Technol. 16(11), 6617–6628 (2019). https://doi.org/10.1007/s13762-019-02221-wCrossRef

14.

Yu, S.; Zhou, S.; Zheng, S.; Li, Z.; Liu, L.: Developing an optimal renewable electricity generation mix for China using a fuzzy multi-objective approach. Renew. Energy 139, 1086–1098 (2019). https://doi.org/10.1016/J.RENENE.2019.03.011CrossRef

15.

Díaz-Madroñero, M.; Pérez-Sánchez, M.; Satorre-Aznar, J.R.; Mula, J.; López-Jiménez, P.A.: Analysis of a wastewater treatment plant using fuzzy goal programming as a management tool: a case study. J. Clean. Prod. 180, 20–33 (2018). https://doi.org/10.1016/J.JCLEPRO.2018.01.129CrossRef

16.

Hocine, A.; Kouaissah, N.; Bettahar, S.; Benbouziane, M.: Optimizing renewable energy portfolios under uncertainty: a multi-segment fuzzy goal programming approach. Renew. Energy 129, 540–552 (2018). https://doi.org/10.1016/J.RENENE.2018.06.013CrossRef

17.

Govindan, K.; Darbari, J.D.; Agarwal, V.; Jha, P.C.: Fuzzy multi-objective approach for optimal selection of suppliers and transportation decisions in an eco-efficient closed loop supply chain network. J. Clean. Prod. 165, 1598–1619 (2017). https://doi.org/10.1016/J.JCLEPRO.2017.06.180CrossRef

18.

Jayaraman, R.; Colapinto, C.; La Torre, D.; Malik, T.: A weighted goal programming model for planning sustainable development applied to Gulf Cooperation Council Countries. Appl. Energy 185, 1931–1939 (2017). https://doi.org/10.1016/j.apenergy.2016.04.065CrossRef

19.

Özcan, E.C.; Ünlüsoy, S.; Eren, T.: A combined goal programming—AHP approach supported with TOPSIS for maintenance strategy selection in hydroelectric power plants. Renew. Sustain. Energy Rev. 78, 1410–1423 (2017). https://doi.org/10.1016/J.RSER.2017.04.039CrossRef

20.

Wang, E.-J.; Lin, C.-Y.; Su, T.-S.: Electricity monitoring system with fuzzy multi-objective linear programming integrated in carbon footprint labeling system for manufacturing decision making. J. Clean. Prod. 112, 3935–3951 (2016). https://doi.org/10.1016/J.JCLEPRO.2015.07.086CrossRef

21.

Alikhani, R.; Azar, A.: A hybrid fuzzy satisfying optimization model for sustainable gas resources allocation. J. Clean. Prod. 107, 353–365 (2015). https://doi.org/10.1016/J.JCLEPRO.2015.01.064CrossRef

22.

Azadeh, A.; Raoofi, Z.; Zarrin, M.: A multi-objective fuzzy linear programming model for optimization of natural gas supply chain through a greenhouse gas reduction approach. J. Nat. Gas Sci. Eng. 26, 702–710 (2015). https://doi.org/10.1016/J.JNGSE.2015.05.039CrossRef

23.

Jayaraman, R.; Colapinto, C.; La Torre, D.; Malik, T.: Multi-criteria model for sustainable development using goal programming applied to the United Arab Emirates. Energy Policy 87, 447–454 (2015). https://doi.org/10.1016/J.ENPOL.2015.09.027CrossRef

24.

Daim, T.U.; Kayakutlu, G.; Cowan, K.: Developing Oregon’s renewable energy portfolio using fuzzy goal programming model. Comput. Ind. Eng. 59(4), 786–793 (2010). https://doi.org/10.1016/J.CIE.2010.08.004CrossRef

25.

Zhang, X.; Huang, G.H.; Chan, C.W.; Liu, Z.; Lin, Q.: A fuzzy-robust stochastic multiobjective programming approach for petroleum waste management planning. Appl. Math. Model. 34(10), 2778–2788 (2010). https://doi.org/10.1016/J.APM.2009.12.012MathSciNetCrossRefMATH

26.

Martinsen, D.; Krey, V.: Compromises in energy policy—using fuzzy optimization in an energy systems model. Energy Policy 36(8), 2983–2994 (2008). https://doi.org/10.1016/J.ENPOL.2008.04.005CrossRef

27.

Lee, C.F.; Lin, S.J.; Lewis, C.; Chang, Y.F.: Effects of carbon taxes on different industries by fuzzy goal programming: a case study of the petrochemical-related industries, Taiwan. Energy Policy 35(8), 4051–4058 (2007). https://doi.org/10.1016/J.ENPOL.2007.02.012CrossRef

28.

Mezher, T.; Chedid, R.; Zahabi, W.: Energy resource allocation using multi-objective goal programming: the case of Lebanon. Appl. Energy 61(4), 175–192 (1998). https://doi.org/10.1016/S0306-2619(98)00043-9CrossRef

29.

Pal, B.B.; Moitra, B.N.; Maulik, U.: A goal programming procedure for fuzzy multiobjective linear fractional programming problem. Fuzzy Sets Syst. 139(2), 395–405 (2003). https://doi.org/10.1016/S0165-0114(02)00374-3MathSciNetCrossRefMATH

30.

Lin, C.C.: A weighted max-min model for fuzzy goal programming. Fuzzy Sets Syst. 142(3), 407–420 (2004). https://doi.org/10.1016/S0165-0114(03)00092-7MathSciNetCrossRefMATH

31.

Yang, T.; Ignizio, J.P.; Kim, H.J.: Fuzzy programming with nonlinear membership functions: piecewise linear approximation. Fuzzy Sets Syst. 41(1), 39–53 (1991). https://doi.org/10.1016/0165-0114(91)90156-KMathSciNetCrossRefMATH

32.

TEİAŞ: “Türkiye Elektrik Enerjisi 5 Yıllık Üretim Kapasite Projeksiyonu (2017–2021),” Feb. 2017. [Online]. http://www.teias.gov.tr/eng/

33.

E. and R.-I. in Turkey: “No Title,” Energy and Renewables—Invest in Turkey. Feb. 23, 2017, [Online]. http://www.invest.gov.tr/en-US/sectors/Pages/Energy.aspx

34.

W. E. Council: “World’s Energy Agenda” Mar. 01, 2016, [Online]. http://dektmk.org.tr/upresimler/turkish-energy-market-outlook.pdf

Title: Optimization of Green Energy Alternatives Under Uncertainty
Author: Beyzanur Cayir Ervural
Publication date: 23-11-2020
Publisher: Springer Berlin Heidelberg
Published in: Arabian Journal for Science and Engineering / Issue 2/2021
Print ISSN: 2193-567X
Electronic ISSN: 2191-4281
DOI: https://doi.org/10.1007/s13369-020-05039-8

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