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Enhancing sustainable energy conversion: Comparative study of superheated and recuperative ORC systems for waste heat recovery and geothermal applications, with focus on 4E performance

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  • Mana, A.A.
  • Kaitouni, S.I.
  • Kousksou, T.
  • Jamil, A.

Abstract

This study investigates the 4E performance of small-scale (<100 kW), low-temperature (<179 °C) Organic Rankine Cycle (ORC) technology, comparing two distinct configurations using different working fluids and heat sources. The work utilizes experimental methods to analyse the efficiency of the ORC systems, focusing on variables such as evaporation temperature and pressure drop across the heat exchanger. Various working fluids and heat sources are tested to evaluate their impact on performance using CoolProp libraries.

Suggested Citation

  • Mana, A.A. & Kaitouni, S.I. & Kousksou, T. & Jamil, A., 2023. "Enhancing sustainable energy conversion: Comparative study of superheated and recuperative ORC systems for waste heat recovery and geothermal applications, with focus on 4E performance," Energy, Elsevier, vol. 284(C).
  • Handle: RePEc:eee:energy:v:284:y:2023:i:c:s0360544223020480
    DOI: 10.1016/j.energy.2023.128654
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    References listed on IDEAS

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    1. Paul Christodoulides & Rafaela Agathokleous & Lazaros Aresti & Soteris A. Kalogirou & Savvas A. Tassou & Georgios A. Florides, 2022. "Waste Heat Recovery Technologies Revisited with Emphasis on New Solutions, Including Heat Pipes, and Case Studies," Energies, MDPI, vol. 15(1), pages 1-22, January.
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    5. Surendran, Anandu & Seshadri, Satyanarayanan, 2020. "Design and performance analysis of a novel Transcritical Regenerative Series Two stage Organic Rankine Cycle for dual source waste heat recovery," Energy, Elsevier, vol. 203(C).
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    7. Siddiqui, Muhammad Ehtisham & Almatrafi, Eydhah & Bamasag, Ahmad & Saeed, Usman, 2022. "Adoption of CO2-based binary mixture to operate transcritical Rankine cycle in warm regions," Renewable Energy, Elsevier, vol. 199(C), pages 1372-1380.
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    Cited by:

    1. Forootan, Mohammad Mahdi & Ahmadi, Abolfazl, 2024. "Machine learning-based optimization and 4E analysis of renewable-based polygeneration system by integration of GT-SRC-ORC-SOFC-PEME-MED-RO using multi-objective grey wolf optimization algorithm and ne," Renewable and Sustainable Energy Reviews, Elsevier, vol. 200(C).
    2. Tymoteusz Miller & Irmina Durlik & Ewelina Kostecka & Polina Kozlovska & Andrzej Jakubowski & Adrianna Łobodzińska, 2024. "Waste Heat Utilization in Marine Energy Systems for Enhanced Efficiency," Energies, MDPI, vol. 17(22), pages 1-29, November.

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