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Surrogate Models Applied to Optimized Organic Rankine Cycles

Author

Listed:
  • Icaro Figueiredo Vilasboas

    (Industrial Engineering Program (PEI), Federal University of Bahia, Salvador 40210-630, Brazil)

  • Victor Gabriel Sousa Fagundes dos Santos

    (Department of Electrical and Computer Engineering (DEEC), Federal University of Bahia, Salvador 40210-630, Brazil)

  • Armando Sá Ribeiro

    (Department of Construction and Structures (DCE), Federal University of Bahia, Salvador 40210-630, Brazil)

  • Julio Augusto Mendes da Silva

    (Department of Mechanical Engineering (DEM), Federal University of Bahia, Salvador 40210-630, Brazil)

Abstract

Global optimization of industrial plant configurations using organic Rankine cycles (ORC) to recover heat is becoming attractive nowadays. This kind of optimization requires structural and parametric decisions to be made; the number of variables is usually high, and some of them generate disruptive responses. Surrogate models can be developed to replace the main components of the complex models reducing the computational requirements. This paper aims to create, evaluate, and compare surrogates built to replace a complex thermodynamic-economic code used to indicate the specific cost (US$/kWe) and efficiency of optimized ORCs. The ORCs are optimized under different heat sources conditions in respect to their operational state, configuration, working fluid and thermal fluid, aiming at a minimal specific cost. The costs of 1449.05, 1045.24, and 638.80 US$/kWe and energy efficiencies of 11.1%, 10.9%, and 10.4% were found for 100, 1000, and 50,000 kWt of heat transfer rate at average temperature of 345 °C. The R-square varied from 0.96 to 0.99 while the number of results with error lower than 5% varied from 88% to 75% depending on the surrogate model (random forest or polynomial regression) and output (specific cost or efficiency). The computational time was reduced in more than 99.9% for all surrogates indicated.

Suggested Citation

  • Icaro Figueiredo Vilasboas & Victor Gabriel Sousa Fagundes dos Santos & Armando Sá Ribeiro & Julio Augusto Mendes da Silva, 2021. "Surrogate Models Applied to Optimized Organic Rankine Cycles," Energies, MDPI, vol. 14(24), pages 1-16, December.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:24:p:8456-:d:702699
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    References listed on IDEAS

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    Cited by:

    1. Icaro Figueiredo Vilasboas & Victor Gabriel Sousa Fagundes dos Santos & Vinicius Oliveira Braz de Morais & Armando Sá Ribeiro & Julio Augusto Mendes da Silva, 2022. "AERES: Thermodynamic and Economic Optimization Software for Hybrid Solar–Waste Heat Systems," Energies, MDPI, vol. 15(12), pages 1-14, June.
    2. Mylena Vieira Pinto Menezes & Icaro Figueiredo Vilasboas & Julio Augusto Mendes da Silva, 2022. "Liquid Air Energy Storage System (LAES) Assisted by Cryogenic Air Rankine Cycle (ARC)," Energies, MDPI, vol. 15(8), pages 1-16, April.

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