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A genetic optimization of a hybrid organic Rankine plant for solar and low-grade energy sources

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  • Scardigno, Domenico
  • Fanelli, Emanuele
  • Viggiano, Annarita
  • Braccio, Giacobbe
  • Magi, Vinicio

Abstract

This paper provides a multi-objective optimization of a hybrid organic Rankine plant for solar and low-grade energy sources. In this plant, water, with a mass flow rate of 1 kg/s at a temperature of 90 °C, preheats the working fluid. The objective of this work is to search for solutions with the highest first and second law efficiencies of the plant and the lowest LEC (levelized energy cost). The design parameters are i) the working fluid, ii) the evaporating and condensing pressure, iii) the maximum temperature of the collector thermal fluid and iv) a parameter representative of the temperature profiles in the heat exchangers. A NSGAII (non-dominated sorting genetic algorithm) has been used. The Pareto front solutions provide Cyclopropane, R143a and R32 as working fluids. The lowest LEC (0.114 $/kWh) and the highest first law efficiency (9.65%) are achieved by using Cyclopropane, with a power output greater than 100 kW. The highest second law efficiency (44%) is obtained by employing R143a, with a low contribution of the solar source and a power output greater than 10 kW. Finally, R32 solutions have comparable performance with respect to R143a solutions.

Suggested Citation

  • Scardigno, Domenico & Fanelli, Emanuele & Viggiano, Annarita & Braccio, Giacobbe & Magi, Vinicio, 2015. "A genetic optimization of a hybrid organic Rankine plant for solar and low-grade energy sources," Energy, Elsevier, vol. 91(C), pages 807-815.
    • Handle: RePEc:eee:energy:v:91:y:2015:i:c:p:807-815
    DOI: 10.1016/j.energy.2015.08.066
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    8. Bademlioglu, A.H. & Canbolat, A.S. & Kaynakli, O., 2020. "Multi-objective optimization of parameters affecting Organic Rankine Cycle performance characteristics with Taguchi-Grey Relational Analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).

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