IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v147y2020ip3p2874-2881.html
   My bibliography  Save this article

Working fluid parametric analysis for recuperative supercritical organic Rankine cycles for medium geothermal reservoir temperatures

Author

Listed:
  • Moloney, Francesca
  • Almatrafi, Eydhah
  • Goswami, D.Y.

Abstract

The conversion efficiency of geothermal energy is very low. For low-temperature resources, such as geothermal energy, a supercritical organic Rankine cycle (ORC) has been shown to be more efficient than an ORC. Recuperative supercritical ORCs have been proven to yield even higher efficiencies for cases where the heat source is limited above the ambient temperature. Most studies on these cycles have focused on turbine inlet temperatures between 80 and 130 °C. Only a few studies have explored other working fluids between 180 and 350 °C but did not analyze optimum turbine inlet pressures. Turbine inlet temperatures ranging from 170 to 240 °C were tested with the heat source provided by a medium temperature geothermal reservoir. A parametric analysis was performed for various turbine inlet pressures and temperatures. Numerous environmental and nontoxic fluids were analyzed. Temperatures and pressures were selected for each tested fluid to achieve the maximum plant efficiency and net work. The best performing binary cycle fluid was R1233zd(E) with a plant efficiency of 16.2% and a second law efficiency of 52.3% for a turbine inlet temperature of 240 °C. This cycle was compared to a single flash plant. The binary cycle plant produced over double the work and had significantly less exergy destruction.

Suggested Citation

  • Moloney, Francesca & Almatrafi, Eydhah & Goswami, D.Y., 2020. "Working fluid parametric analysis for recuperative supercritical organic Rankine cycles for medium geothermal reservoir temperatures," Renewable Energy, Elsevier, vol. 147(P3), pages 2874-2881.
    • Handle: RePEc:eee:renene:v:147:y:2020:i:p3:p:2874-2881
    DOI: 10.1016/j.renene.2018.09.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148118310668
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2018.09.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Astolfi, Marco & Romano, Matteo C. & Bombarda, Paola & Macchi, Ennio, 2014. "Binary ORC (Organic Rankine Cycles) power plants for the exploitation of medium–low temperature geothermal sources – Part B: Techno-economic optimization," Energy, Elsevier, vol. 66(C), pages 435-446.
    2. Wang, J.L. & Zhao, L. & Wang, X.D., 2012. "An experimental study on the recuperative low temperature solar Rankine cycle using R245fa," Applied Energy, Elsevier, vol. 94(C), pages 34-40.
    3. Glover, Stephen & Douglas, Roy & De Rosa, Mattia & Zhang, Xiaolei & Glover, Laura, 2015. "Simulation of a multiple heat source supercritical ORC (Organic Rankine Cycle) for vehicle waste heat recovery," Energy, Elsevier, vol. 93(P2), pages 1568-1580.
    4. Toffolo, Andrea & Lazzaretto, Andrea & Manente, Giovanni & Paci, Marco, 2014. "A multi-criteria approach for the optimal selection of working fluid and design parameters in Organic Rankine Cycle systems," Applied Energy, Elsevier, vol. 121(C), pages 219-232.
    5. Li, Chennan & Besarati, Saeb & Goswami, Yogi & Stefanakos, Elias & Chen, Huijuan, 2013. "Reverse osmosis desalination driven by low temperature supercritical organic rankine cycle," Applied Energy, Elsevier, vol. 102(C), pages 1071-1080.
    6. Chen, Huijuan & Goswami, D. Yogi & Rahman, Muhammad M. & Stefanakos, Elias K., 2011. "A supercritical Rankine cycle using zeotropic mixture working fluids for the conversion of low-grade heat into power," Energy, Elsevier, vol. 36(1), pages 549-555.
    7. Yağlı, Hüseyin & Koç, Yıldız & Koç, Ali & Görgülü, Adnan & Tandiroğlu, Ahmet, 2016. "Parametric optimization and exergetic analysis comparison of subcritical and supercritical organic Rankine cycle (ORC) for biogas fuelled combined heat and power (CHP) engine exhaust gas waste heat," Energy, Elsevier, vol. 111(C), pages 923-932.
    8. Astolfi, Marco & Romano, Matteo C. & Bombarda, Paola & Macchi, Ennio, 2014. "Binary ORC (organic Rankine cycles) power plants for the exploitation of medium–low temperature geothermal sources – Part A: Thermodynamic optimization," Energy, Elsevier, vol. 66(C), pages 423-434.
    9. Yamada, Noboru & Mohamad, Md Nor Anuar & Kien, Trinh Trung, 2012. "Study on thermal efficiency of low- to medium-temperature organic Rankine cycles using HFO−1234yf," Renewable Energy, Elsevier, vol. 41(C), pages 368-375.
    10. Madhawa Hettiarachchi, H.D. & Golubovic, Mihajlo & Worek, William M. & Ikegami, Yasuyuki, 2007. "Optimum design criteria for an Organic Rankine cycle using low-temperature geothermal heat sources," Energy, Elsevier, vol. 32(9), pages 1698-1706.
    11. Le, Van Long & Feidt, Michel & Kheiri, Abdelhamid & Pelloux-Prayer, Sandrine, 2014. "Performance optimization of low-temperature power generation by supercritical ORCs (organic Rankine cycles) using low GWP (global warming potential) working fluids," Energy, Elsevier, vol. 67(C), pages 513-526.
    12. Yari, Mortaza, 2010. "Exergetic analysis of various types of geothermal power plants," Renewable Energy, Elsevier, vol. 35(1), pages 112-121.
    13. Barbier, Enrico, 2002. "Geothermal energy technology and current status: an overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 6(1-2), pages 3-65.
    14. Chen, Huijuan & Goswami, D. Yogi & Stefanakos, Elias K., 2010. "A review of thermodynamic cycles and working fluids for the conversion of low-grade heat," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 3059-3067, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Qinggang & Ming, Tingzhen & Chen, Qiong & Wu, Yongjia, 2024. "A novel TLFD-GA algorithm for multi-objectives optimization of ORC power plants with the effect of pressure drop considered," Energy, Elsevier, vol. 293(C).
    2. Hashemian, Nasim & Noorpoor, Alireza, 2022. "A geothermal-biomass powered multi-generation plant with freshwater and hydrogen generation options: Thermo-economic-environmental appraisals and multi-criteria optimization," Renewable Energy, Elsevier, vol. 198(C), pages 254-266.
    3. Wu, Wencong & Xie, Shutao & Tan, Jiaqi & Ouyang, Tiancheng, 2022. "An integrated design of LNG cold energy recovery for supply demand balance using energy storage devices," Renewable Energy, Elsevier, vol. 183(C), pages 830-848.
    4. Zinsalo, Joël M. & Lamarche, Louis & Raymond, Jasmin, 2022. "Performance analysis and working fluid selection of an Organic Rankine Cycle Power Plant coupled to an Enhanced Geothermal System," Energy, Elsevier, vol. 245(C).
    5. Krail, Jürgen & Beckmann, Georg & Schittl, Florian & Piringer, Gerhard, 2023. "Comparative thermodynamic analysis of an improved ORC process with integrated injection of process fluid," Energy, Elsevier, vol. 266(C).
    6. Na Zhang & Po Xu & Yiming Wang & Wencai Tong & Zhao Yang, 2023. "Performance Analysis and Comprehensive Evaluation of Solar Organic Rankine Cycle Combined with Transcritical CO 2 Refrigeration Cycle," Energies, MDPI, vol. 16(14), pages 1-13, July.
    7. Ghorbani, Sobhan & Deymi-Dashtebayaz, Mahdi & Dadpour, Daryoush & Delpisheh, Mostafa, 2023. "Parametric study and optimization of a novel geothermal-driven combined cooling, heating, and power (CCHP) system," Energy, Elsevier, vol. 263(PF).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lecompte, S. & Huisseune, H. & van den Broek, M. & De Paepe, M., 2015. "Methodical thermodynamic analysis and regression models of organic Rankine cycle architectures for waste heat recovery," Energy, Elsevier, vol. 87(C), pages 60-76.
    2. Steven Lecompte & Sanne Lemmens & Henk Huisseune & Martijn Van den Broek & Michel De Paepe, 2015. "Multi-Objective Thermo-Economic Optimization Strategy for ORCs Applied to Subcritical and Transcritical Cycles for Waste Heat Recovery," Energies, MDPI, vol. 8(4), pages 1-28, April.
    3. Cavazzini, G. & Bari, S. & Pavesi, G. & Ardizzon, G., 2017. "A multi-fluid PSO-based algorithm for the search of the best performance of sub-critical Organic Rankine Cycles," Energy, Elsevier, vol. 129(C), pages 42-58.
    4. Yang, Min-Hsiung & Yeh, Rong-Hua, 2016. "Economic performances optimization of an organic Rankine cycle system with lower global warming potential working fluids in geothermal application," Renewable Energy, Elsevier, vol. 85(C), pages 1201-1213.
    5. Lecompte, Steven & Huisseune, Henk & van den Broek, Martijn & Vanslambrouck, Bruno & De Paepe, Michel, 2015. "Review of organic Rankine cycle (ORC) architectures for waste heat recovery," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 448-461.
    6. Zhai, Huixing & An, Qingsong & Shi, Lin & Lemort, Vincent & Quoilin, Sylvain, 2016. "Categorization and analysis of heat sources for organic Rankine cycle systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 790-805.
    7. Sanne Lemmens, 2016. "Cost Engineering Techniques and Their Applicability for Cost Estimation of Organic Rankine Cycle Systems," Energies, MDPI, vol. 9(7), pages 1-18, June.
    8. Yu, Haoshui & Eason, John & Biegler, Lorenz T. & Feng, Xiao, 2017. "Simultaneous heat integration and techno-economic optimization of Organic Rankine Cycle (ORC) for multiple waste heat stream recovery," Energy, Elsevier, vol. 119(C), pages 322-333.
    9. Liu, Qiang & Shang, Linlin & Duan, Yuanyuan, 2016. "Performance analyses of a hybrid geothermal–fossil power generation system using low-enthalpy geothermal resources," Applied Energy, Elsevier, vol. 162(C), pages 149-162.
    10. Li, Jing & Alvi, Jahan Zeb & Pei, Gang & Su, Yuehong & Li, Pengcheng & Gao, Guangtao & Ji, Jie, 2016. "Modelling of organic Rankine cycle efficiency with respect to the equivalent hot side temperature," Energy, Elsevier, vol. 115(P1), pages 668-683.
    11. Song, Chongzhi & Gu, Mingyan & Miao, Zheng & Liu, Chao & Xu, Jinliang, 2019. "Effect of fluid dryness and critical temperature on trans-critical organic Rankine cycle," Energy, Elsevier, vol. 174(C), pages 97-109.
    12. Walraven, Daniël & Laenen, Ben & D’haeseleer, William, 2015. "Minimizing the levelized cost of electricity production from low-temperature geothermal heat sources with ORCs: Water or air cooled?," Applied Energy, Elsevier, vol. 142(C), pages 144-153.
    13. Bao, Junjiang & Zhao, Li, 2013. "A review of working fluid and expander selections for organic Rankine cycle," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 325-342.
    14. Varma, G.V. Pradeep & Srinivas, T., 2017. "Power generation from low temperature heat recovery," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 402-414.
    15. Jahedul Islam Chowdhury & Bao Kha Nguyen & David Thornhill & Yukun Hu & Payam Soulatiantork & Nazmiye Balta-Ozkan & Liz Varga, 2018. "Fuzzy Nonlinear Dynamic Evaporator Model in Supercritical Organic Rankine Cycle Waste Heat Recovery Systems," Energies, MDPI, vol. 11(4), pages 1-24, April.
    16. Li, Min & Zhao, Bingxiong, 2016. "Analytical thermal efficiency of medium-low temperature organic Rankine cycles derived from entropy-generation analysis," Energy, Elsevier, vol. 106(C), pages 121-130.
    17. Liu, Wei & Meinel, Dominik & Gleinser, Moritz & Wieland, Christoph & Spliethoff, Hartmut, 2015. "Optimal Heat Source Temperature for thermodynamic optimization of sub-critical Organic Rankine Cycles," Energy, Elsevier, vol. 88(C), pages 897-906.
    18. Tchanche, Bertrand F. & Lambrinos, Gr. & Frangoudakis, A. & Papadakis, G., 2011. "Low-grade heat conversion into power using organic Rankine cycles – A review of various applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3963-3979.
    19. Liu, Qiang & Shen, Aijing & Duan, Yuanyuan, 2015. "Parametric optimization and performance analyses of geothermal organic Rankine cycles using R600a/R601a mixtures as working fluids," Applied Energy, Elsevier, vol. 148(C), pages 410-420.
    20. Ayub, Mohammad & Mitsos, Alexander & Ghasemi, Hadi, 2015. "Thermo-economic analysis of a hybrid solar-binary geothermal power plant," Energy, Elsevier, vol. 87(C), pages 326-335.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:147:y:2020:i:p3:p:2874-2881. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.