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Multi-objective particle swarm optimization of binary geothermal power plants

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  • Clarke, Joshua
  • McLeskey, James T.

Abstract

In this paper, a method for determining the optimum use of a superheater and/or recuperator in a binary geothermal power plant is developed. Additionally, a multi-objective optimization algorithm is developed to intelligently explore the trade-off between specific work output and specific heat exchanger area and allow visualization of the entire Pareto-optimal set of designs for a wide range of geothermal brine temperatures and dry-bulb temperatures. Selected data is tabulated to show representative optimal designs for each combination of dry-bulb temperature and brine temperature. This work illustrates the development and use of a sophisticated analysis tool utilizing multi-objective particle swarm optimization to allow calculation of the Pareto-optimal set of designs under any combination of dry-bulb temperature and brine temperature while accounting for necessary real-world constraints.

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  • Clarke, Joshua & McLeskey, James T., 2015. "Multi-objective particle swarm optimization of binary geothermal power plants," Applied Energy, Elsevier, vol. 138(C), pages 302-314.
    • Handle: RePEc:eee:appene:v:138:y:2015:i:c:p:302-314
    DOI: 10.1016/j.apenergy.2014.10.072
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    Cited by:

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    7. Chao Zhang & Jinglun Fu & Pengfei Yuan & Jianjun Liu, 2018. "Guidelines for Optimal Selection of Subcritical Low-Temperature Geothermal Organic Rankine Cycle Configuration Considering Reinjection Temperature Limits," Energies, MDPI, vol. 11(11), pages 1-18, October.
    8. Çetin, Gürcan & Keçebaş, Ali, 2021. "Optimization of thermodynamic performance with simulated annealing algorithm: A geothermal power plant," Renewable Energy, Elsevier, vol. 172(C), pages 968-982.
    9. Nian, Yong-Le & Cheng, Wen-Long, 2018. "Insights into geothermal utilization of abandoned oil and gas wells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 87(C), pages 44-60.
    10. Jianzhong Zhou & Yanhe Xu & Yang Zheng & Yuncheng Zhang, 2017. "Optimization of Guide Vane Closing Schemes of Pumped Storage Hydro Unit Using an Enhanced Multi-Objective Gravitational Search Algorithm," Energies, MDPI, vol. 10(7), pages 1-23, July.
    11. Zhengguang Liu & Gaoyang Hou & Ying Song & Hessam Taherian & Shuaiwei Qi, 2022. "The Impact of Soil Hydrothermal Properties on Geothermal Power Generation (GPG): Modeling and Analysis," Energies, MDPI, vol. 15(2), pages 1-12, January.
    12. Patrick Linke & Athanasios I. Papadopoulos & Panos Seferlis, 2015. "Systematic Methods for Working Fluid Selection and the Design, Integration and Control of Organic Rankine Cycles—A Review," Energies, MDPI, vol. 8(6), pages 1-47, May.
    13. Lee, Inkyu & Tester, Jefferson William & You, Fengqi, 2019. "Systems analysis, design, and optimization of geothermal energy systems for power production and polygeneration: State-of-the-art and future challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 551-577.
    14. Satanphol, K. & Pridasawas, W. & Suphanit, B., 2017. "A study on optimal composition of zeotropic working fluid in an Organic Rankine Cycle (ORC) for low grade heat recovery," Energy, Elsevier, vol. 123(C), pages 326-339.
    15. Tut Haklıdır, Füsun S., 2020. "The importance of long-term well management in geothermal power systems using fuzzy control: A Western Anatolia (Turkey) case study," Energy, Elsevier, vol. 213(C).

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