Case Studies in Thermal Engineering (Nov 2024)

Heat energy utilization of a double-flash geothermal source efficiently for heating/electricity supply through particle swarm optimization method

  • Fengmin Cheng,
  • Azher M. Abed,
  • Pradeep Kumar Singh,
  • Mohammed A. Alghassab,
  • Fahad M. Alhomayani,
  • Umid Turdialiyev,
  • Amr S. Abouzied,
  • Yasser Elmasry,
  • Baseem Khan,
  • Ibrahim Mahariq

Journal volume & issue
Vol. 63
p. 105343

Abstract

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The principal aim of this article is to optimize the thermal and electrical efficiency of a geothermal combined heat and power system through metaheuristic particle swarm optimization (PSO) method. The objective of this research is to conduct a thorough analysis of the incorporation of metaheuristic PSO technique, with a specific emphasis on the potential advantages and obstacles associated with the utilization of metaheuristic approaches in improving the effectiveness of geothermal energy systems. The utilization of a double-flash geothermal system in conjunction with a transcritical carbon dioxide Rankine cycle is utilized for the co-generation of electricity and thermal energy. The research utilized a PSO method to enhance power generation, heating capacity, and overall system efficiency. The PSO algorithm was employed to determine the optimum operational parameters for a pressure level of 820 kPa and a pressure ratio of 1.59, leading to the maximization of power output to 2591.4 kW The PSO algorithm effectively identified the optimal operational parameters as a pressure of 820 kPa and a pressure ratio of 1.59, resulting in the achievement of a peak power output of 2591.4 kW. The methodology has determined that a pressure of 916.4 kPa and a pressure ratio of 1.5 represent the optimal parameters for achieving a maximum heating capacity of 12329.1 kW.

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