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Optimum design of a hybrid diesel-ORC / photovoltaic system using PSO: Case study for the city of Cujubim, Brazil

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  • Galindo Noguera, Ana Lisbeth
  • Mendoza Castellanos, Luis Sebastian
  • Silva Lora, Electo Eduardo
  • Melian Cobas, Vladimir Rafael

Abstract

In this work, the optimal design of a hybrid electric power generation system for isolated zones, using Particle Swarm Optimization (PSO) technique, is presented. A study is carried out taking as case of study, the city of Cujubim, in the state of Rondônia-Brazil, consisting of photovoltaic panels, a diesel generator, batteries and an organic Rankine Cycle, which is used for the heat recovery of the exhaust gases from the diesel generator sets, what is the novelty of this study. Decision variables, involved in the optimal design problem of the hybrid system, are the number of photovoltaic panels, the number of batteries and the nominal power of the diesel generator. Directly connected to the size of the diesel generator, is the nominal power of ORC system, not being a decision variable. All components are modeled and the objective function is the cost of power generation, with system reliability, results of the simulation show that the hybrid system is profitable to supply electric power demand of a selected city.

Suggested Citation

  • Galindo Noguera, Ana Lisbeth & Mendoza Castellanos, Luis Sebastian & Silva Lora, Electo Eduardo & Melian Cobas, Vladimir Rafael, 2018. "Optimum design of a hybrid diesel-ORC / photovoltaic system using PSO: Case study for the city of Cujubim, Brazil," Energy, Elsevier, vol. 142(C), pages 33-45.
    • Handle: RePEc:eee:energy:v:142:y:2018:i:c:p:33-45
    DOI: 10.1016/j.energy.2017.10.012
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    1. Mendoza Castellanos, Luis Sebastián & Galindo Noguera, Ana Lisbeth & Gutiérrez Velásquez, Elkin I. & Caballero, Gaylord Enrique Carrillo & Silva Lora, Electo Eduardo & Melian Cobas, Vladimir Rafael, 2020. "Mathematical modeling of a system composed of parabolic trough solar collectors integrated with a hydraulic energy storage system," Energy, Elsevier, vol. 208(C).
    2. Hosseini Dehshiri, Seyyed Shahabaddin & Firoozabadi, Bahar, 2022. "A new application of measurement of alternatives and ranking according to compromise solution (MARCOS) in solar site location for electricity and hydrogen production: A case study in the southern clim," Energy, Elsevier, vol. 261(PB).
    3. Xu, Xiao & Hu, Weihao & Cao, Di & Huang, Qi & Chen, Cong & Chen, Zhe, 2020. "Optimized sizing of a standalone PV-wind-hydropower station with pumped-storage installation hybrid energy system," Renewable Energy, Elsevier, vol. 147(P1), pages 1418-1431.
    4. Wen, Lei & Song, Qianqian, 2023. "ELCC-based capacity value estimation of combined wind - storage system using IPSO algorithm," Energy, Elsevier, vol. 263(PB).
    5. Calise, Francesco & Cappiello, Francesco L. & Dentice d'Accadia, Massimo & Vicidomini, Maria, 2021. "Thermo-economic optimization of a novel hybrid renewable trigeneration plant," Renewable Energy, Elsevier, vol. 175(C), pages 532-549.
    6. Francesco Calise & Francesco Liberato Cappiello & Massimo Dentice d’Accadia & Maria Vicidomini, 2020. "Thermo-Economic Analysis of Hybrid Solar-Geothermal Polygeneration Plants in Different Configurations," Energies, MDPI, vol. 13(9), pages 1-29, May.

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