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Process synthesis for the valorisation of low-grade heat: Geothermal brines and industrial waste streams

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  • García-Anteportalatina, Víctor Manuel
  • Martín, Mariano

Abstract

The increasing demand of power and the need to reduce our dependency on fossil resources represent an opportunity to valorise low-to-medium grade heat streams such as mild hot streams from industry and natural brines into electricity. A systematic approach is required for the simultaneous selection of thermodynamic cycle which includes its configuration, the thermal fluid, and the optimal operating conditions. A methodology that integrates heuristics, for pre-screening, machine learning, to include rigorous thermodynamics, and mathematical optimization, for process flowsheet design is proposed. The pre-screening yields three fluids, benzene, toluene and 1,1,1,2,3,3,3-heptafluoropropane (R227ea) and two promising cycles, dual pressure organic Rankine cycle (ORC) and organic flash Rankine cycle (OFRC). The mathematical optimization shows that for temperatures over 120 °C, the OFRC using Benzene is the configuration of choice in terms of thermodynamic performance, but the ORC provides the most economical electricity. For hot resources below 120 °C, the efficiency of both cycles converges, but the best fluid turns out to be R227ea alongside the dual ORC cycle showing better performance and lower cost. The cooling costs present a minimum at ΔTmin equal to 8 °C. The results on process design are used to evaluate a exploitation of geothermal resources across Spain.

Suggested Citation

  • García-Anteportalatina, Víctor Manuel & Martín, Mariano, 2022. "Process synthesis for the valorisation of low-grade heat: Geothermal brines and industrial waste streams," Renewable Energy, Elsevier, vol. 198(C), pages 733-748.
  • Handle: RePEc:eee:renene:v:198:y:2022:i:c:p:733-748
    DOI: 10.1016/j.renene.2022.08.064
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    References listed on IDEAS

    as
    1. Martín, Mariano, 2015. "Optimal annual operation of the dry cooling system of a concentrated solar energy plant in the south of Spain," Energy, Elsevier, vol. 84(C), pages 774-782.
    2. Yari, Mortaza, 2010. "Exergetic analysis of various types of geothermal power plants," Renewable Energy, Elsevier, vol. 35(1), pages 112-121.
    3. Guzović, Zvonimir & Rašković, Predrag & Blatarić, Zoran, 2014. "The comparision of a basic and a dual-pressure ORC (Organic Rankine Cycle): Geothermal Power Plant Velika Ciglena case study," Energy, Elsevier, vol. 76(C), pages 175-186.
    4. Yu, Haoshui & Feng, Xiao & Wang, Yufei, 2015. "A new pinch based method for simultaneous selection of working fluid and operating conditions in an ORC (Organic Rankine Cycle) recovering waste heat," Energy, Elsevier, vol. 90(P1), pages 36-46.
    5. Roy, J.P. & Misra, Ashok, 2012. "Parametric optimization and performance analysis of a regenerative Organic Rankine Cycle using R-123 for waste heat recovery," Energy, Elsevier, vol. 39(1), pages 227-235.
    6. Borsukiewicz-Gozdur, Aleksandra & Nowak, Władysław, 2007. "Comparative analysis of natural and synthetic refrigerants in application to low temperature Clausius–Rankine cycle," Energy, Elsevier, vol. 32(4), pages 344-352.
    7. Guerras, Lidia S. & Martín, Mariano, 2019. "Optimal gas treatment and coal blending for reduced emissions in power plants: A case study in Northwest Spain," Energy, Elsevier, vol. 169(C), pages 739-749.
    8. Ghasemi, Hadi & Paci, Marco & Tizzanini, Alessio & Mitsos, Alexander, 2013. "Modeling and optimization of a binary geothermal power plant," Energy, Elsevier, vol. 50(C), pages 412-428.
    9. 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.
    10. Magdalena Santos-Rodriguez, M. & Flores-Tlacuahuac, Antonio & Zavala, Victor M., 2017. "A stochastic optimization approach for the design of organic fluid mixtures for low-temperature heat recovery," Applied Energy, Elsevier, vol. 198(C), pages 145-159.
    11. Baccioli, A. & Antonelli, M. & Desideri, U., 2017. "Technical and economic analysis of organic flash regenerative cycles (OFRCs) for low temperature waste heat recovery," Applied Energy, Elsevier, vol. 199(C), pages 69-87.
    12. 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.
    13. Vélez, Fredy & Segovia, José J. & Martín, M. Carmen & Antolín, Gregorio & Chejne, Farid & Quijano, Ana, 2012. "A technical, economical and market review of organic Rankine cycles for the conversion of low-grade heat for power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4175-4189.
    14. Colmenar-Santos, Antonio & Folch-Calvo, Martin & Rosales-Asensio, Enrique & Borge-Diez, David, 2016. "The geothermal potential in Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 865-886.
    15. Yu, Haoshui & Feng, Xiao & Wang, Yufei & Biegler, Lorenz T. & Eason, John, 2016. "A systematic method to customize an efficient organic Rankine cycle (ORC) to recover waste heat in refineries," Applied Energy, Elsevier, vol. 179(C), pages 302-315.
    16. Hung, T.C. & Shai, T.Y. & Wang, S.K., 1997. "A review of organic rankine cycles (ORCs) for the recovery of low-grade waste heat," Energy, Elsevier, vol. 22(7), pages 661-667.
    17. Guerras, Lidia S. & Martín, Mariano, 2020. "On the water footprint in power production: Sustainable design of wet cooling towers," Applied Energy, Elsevier, vol. 263(C).
    18. Barbier, Enrico, 2002. "Geothermal energy technology and current status: an overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 6(1-2), pages 3-65.
    19. Wang, Jiangfeng & Yan, Zhequan & Wang, Man & Ma, Shaolin & Dai, Yiping, 2013. "Thermodynamic analysis and optimization of an (organic Rankine cycle) ORC using low grade heat source," Energy, Elsevier, vol. 49(C), pages 356-365.
    20. Sánchez, Antonio & Castellano, Elena & Martín, Mariano & Vega, Pastora, 2021. "Evaluating ammonia as green fuel for power generation: A thermo-chemical perspective," Applied Energy, Elsevier, vol. 293(C).
    21. Martín, Mariano & Martín, Mónica, 2017. "Cooling limitations in power plants: Optimal multiperiod design of natural draft cooling towers," Energy, Elsevier, vol. 135(C), pages 625-636.
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