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Enhancing efficiency in an innovative geothermal poly-generation system for electricity, cooling, and freshwater production through integrated multi-objective optimization: A holistic approach to energy, exergy, and enviroeconomic effects

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  • Pazuki, Mohammad-Mahdi
  • Kolahi, Mohammad-Reza
  • Ebadollahi, Mohammad
  • Amidpour, Majid

Abstract

This study offers a comprehensive exploration of a poly-generation system that integrates geothermal energy, comprising a geothermal primary loop incorporating double self-superheating, Organic Rankine Cycle (ORC), and Ejector Refrigeration Cycle (ERC) employing zeotropic mixtures, along with a Humidification-Dehumidification (HDH) unit. The research aims to simultaneously enhance both total energy efficiency and total exergy efficiency through Multi-Objective Particle Swarm Optimization (MOPSO), utilizing Pareto front analysis to effectively balance conflicting objectives. Under specific conditions, energy efficiency and exergy efficiency peak at 35.11 % and 58.23 %, respectively, marking a 40.48 % and 2.32 % improvement over the baseline. The optimized scenarios consistently outperform the baseline in various performance metrics, achieving improvements. Within the Pareto front domain, the highest-performing metrics include 5.5414 [MW] power generation, 59.2069 [kg. s−1] cooling production, 0.9144 [MW] cooling load generation, Coefficient of Performance (COP) of 0.3248, 2.9132 [kg. s−1] freshwater production, and 3.4906 [MW] Exergy destruction. Additionally, the system's reliance on geothermal energy eliminates CO2 emissions at 5.6749 [ton.h−1] and reduces the Environmental Penalty Cost Rate (EPCR) to 0.9534 [MUS$.year−1]. This study highlights the effectiveness of a multi-objective approach in systematically designing high-efficiency, sustainable poly-generation systems. By carefully manipulating decision variables, this research offers valuable insights into achieving superior system performance and resource optimization.

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  • Pazuki, Mohammad-Mahdi & Kolahi, Mohammad-Reza & Ebadollahi, Mohammad & Amidpour, Majid, 2024. "Enhancing efficiency in an innovative geothermal poly-generation system for electricity, cooling, and freshwater production through integrated multi-objective optimization: A holistic approach to ener," Energy, Elsevier, vol. 313(C).
    • Handle: RePEc:eee:energy:v:313:y:2024:i:c:s0360544224036405
    DOI: 10.1016/j.energy.2024.133862
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