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Investment in the energy sector: An optimization model that contemplates several uncertain parameters

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  • Cunico, Maria Laura
  • Flores, Julio Rolando
  • Vecchietti, Aldo

Abstract

Investments in the energy sector on the medium/long term are risky due to the uncertainties having in this sector: price volatility, unclear demands and indeterminate fossil reserve volumes, among others. Decision making tools plays an important role in order to attenuate the effect of uncertainties in the investment by including this aspect in the models. In this sense, mathematical programming models provide analytical tools to improve the decision making process. This paper presents a multi-period mathematical model for planning investments in the energy sector in a medium time horizon. The model considers several imprecise information of the energy market: uncertainty in the price of fossil resources, the trend in the growing demand and the variation in the availability of fossil reserves.

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  • Cunico, Maria Laura & Flores, Julio Rolando & Vecchietti, Aldo, 2017. "Investment in the energy sector: An optimization model that contemplates several uncertain parameters," Energy, Elsevier, vol. 138(C), pages 831-845.
    • Handle: RePEc:eee:energy:v:138:y:2017:i:c:p:831-845
    DOI: 10.1016/j.energy.2017.07.103
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    1. Díaz-Madroñero, Manuel & Peidro, David & Mula, Josefa & Ferriols, Francisco J., 2010. "Enfoques de programación matemática fuzzy multiobjetivo para la planificación operativa del transporte en una cadena de suministro del sector del automóvil = Fuzzy Multiobjective Mathematical Programm," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 9(1), pages 44-68, June.
    2. Flores, Julio R. & Montagna, Jorge M. & Vecchietti, Aldo, 2014. "An optimization approach for long term investments planning in energy," Applied Energy, Elsevier, vol. 122(C), pages 162-178.
    3. Sadeghi, Mehdi & Mirshojaeian Hosseini, Hossein, 2006. "Energy supply planning in Iran by using fuzzy linear programming approach (regarding uncertainties of investment costs)," Energy Policy, Elsevier, vol. 34(9), pages 993-1003, June.
    4. Wang, Reay-Chen & Liang, Tien-Fu, 2005. "Applying possibilistic linear programming to aggregate production planning," International Journal of Production Economics, Elsevier, vol. 98(3), pages 328-341, December.
    5. Svensson, Elin & Strömberg, Ann-Brith & Patriksson, Michael, 2011. "A model for optimization of process integration investments under uncertainty," Energy, Elsevier, vol. 36(5), pages 2733-2746.
    6. Yoon, Kyung Hwan & Ratti, Ronald A., 2011. "Energy price uncertainty, energy intensity and firm investment," Energy Economics, Elsevier, vol. 33(1), pages 67-78, January.
    7. Fleten, S.-E. & Maribu, K.M. & Wangensteen, I., 2007. "Optimal investment strategies in decentralized renewable power generation under uncertainty," Energy, Elsevier, vol. 32(5), pages 803-815.
    8. Caralis, George & Diakoulaki, Danae & Yang, Peijin & Gao, Zhiqiu & Zervos, Arthouros & Rados, Kostas, 2014. "Profitability of wind energy investments in China using a Monte Carlo approach for the treatment of uncertainties," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 224-236.
    9. Aquila, Giancarlo & Rotela Junior, Paulo & de Oliveira Pamplona, Edson & de Queiroz, Anderson Rodrigo, 2017. "Wind power feasibility analysis under uncertainty in the Brazilian electricity market," Energy Economics, Elsevier, vol. 65(C), pages 127-136.
    10. Cai, Y.P. & Huang, G.H. & Yang, Z.F. & Tan, Q., 2009. "Identification of optimal strategies for energy management systems planning under multiple uncertainties," Applied Energy, Elsevier, vol. 86(4), pages 480-495, April.
    11. Fuss, Sabine & Szolgayová, Jana, 2010. "Fuel price and technological uncertainty in a real options model for electricity planning," Applied Energy, Elsevier, vol. 87(9), pages 2938-2944, September.
    12. Mula, Josefa & Peidro, David & Poler, Raul, 2010. "The effectiveness of a fuzzy mathematical programming approach for supply chain production planning with fuzzy demand," International Journal of Production Economics, Elsevier, vol. 128(1), pages 136-143, November.
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