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Influence of axial turbine efficiency maps on the performance of subcritical and supercritical Organic Rankine Cycle systems

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  • Manente, Giovanni
  • Da Lio, Luca
  • Lazzaretto, Andrea

Abstract

The utilization of low-to-medium enthalpy geothermal resources for electricity generation is commonly done using the binary cycle power plant technology. The low temperature of the geothermal fluid necessarily results in low thermal efficiencies but it can be profitably used as a driver to reduce the equipment cost. In particular, single stage axial flow turbines, a cheaper option compared to multistage solutions, can be used due to the moderate enthalpy drop in the expansion process. In this work the design performance of ORCs (Organic Rankine Cycle systems) equipped with single stage axial flow turbines is optimized for utilization of a 150 °C geothermal fluid. Accurate predictions of turbine efficiency are included in the optimization procedure to take into account the influence of the thermodynamic cycle parameters, fluid properties and size on the maximum achievable efficiency. A set of six fluids is considered to examine a wide spectrum of design conditions. Results show that supercritical ORCs outperform subcritical ORCs even taking into account the detrimental effect of high expansion ratios on turbine efficiency. Hydrofluoroolefins are found to exhibit a net power output approximately equal or even higher than the best hydrofluorocarbons.

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  • Manente, Giovanni & Da Lio, Luca & Lazzaretto, Andrea, 2016. "Influence of axial turbine efficiency maps on the performance of subcritical and supercritical Organic Rankine Cycle systems," Energy, Elsevier, vol. 107(C), pages 761-772.
  • Handle: RePEc:eee:energy:v:107:y:2016:i:c:p:761-772
    DOI: 10.1016/j.energy.2016.04.063
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    1. 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.
    2. 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.
    3. de M. Ventura, Carlos A. & Rowlands, Andrew S., 2015. "Recuperated power cycle analysis model: Investigation and optimisation of low-to-moderate resource temperature Organic Rankine Cycles," Energy, Elsevier, vol. 93(P1), pages 484-494.
    4. 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.
    5. Da Lio, Luca & Manente, Giovanni & Lazzaretto, Andrea, 2016. "Predicting the optimum design of single stage axial expanders in ORC systems: Is there a single efficiency map for different working fluids?," Applied Energy, Elsevier, vol. 167(C), pages 44-58.
    6. Costall, A.W. & Gonzalez Hernandez, A. & Newton, P.J. & Martinez-Botas, R.F., 2015. "Design methodology for radial turbo expanders in mobile organic Rankine cycle applications," Applied Energy, Elsevier, vol. 157(C), pages 729-743.
    7. Wang, Xiao-Qiong & Li, Xiao-Ping & Li, You-Rong & Wu, Chun-Mei, 2015. "Payback period estimation and parameter optimization of subcritical organic Rankine cycle system for waste heat recovery," Energy, Elsevier, vol. 88(C), pages 734-745.
    8. Habka, Muhsen & Ajib, Salman, 2015. "Evaluation of mixtures performances in Organic Rankine Cycle when utilizing the geothermal water with and without cogeneration," Applied Energy, Elsevier, vol. 154(C), pages 567-576.
    9. Petr, Philipp & Raabe, Gabriele, 2015. "Evaluation of R-1234ze(Z) as drop-in replacement for R-245fa in Organic Rankine Cycles – From thermophysical properties to cycle performance," Energy, Elsevier, vol. 93(P1), pages 266-274.
    10. Andreasen, J.G. & Larsen, U. & Knudsen, T. & Haglind, F., 2015. "Design and optimization of a novel organic Rankine cycle with improved boiling process," Energy, Elsevier, vol. 91(C), pages 48-59.
    11. 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.
    12. Li, Gang, 2016. "Organic Rankine cycle performance evaluation and thermoeconomic assessment with various applications part I: Energy and exergy performance evaluation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 477-499.
    13. Peris, Bernardo & Navarro-Esbrí, Joaquín & Molés, Francisco & González, Manuel & Mota-Babiloni, Adrián, 2015. "Experimental characterization of an ORC (organic Rankine cycle) for power and CHP (combined heat and power) applications from low grade heat sources," Energy, Elsevier, vol. 82(C), pages 269-276.
    14. Vivian, Jacopo & Manente, Giovanni & Lazzaretto, Andrea, 2015. "A general framework to select working fluid and configuration of ORCs for low-to-medium temperature heat sources," Applied Energy, Elsevier, vol. 156(C), pages 727-746.
    15. Braimakis, Konstantinos & Preißinger, Markus & Brüggemann, Dieter & Karellas, Sotirios & Panopoulos, Kyriakos, 2015. "Low grade waste heat recovery with subcritical and supercritical Organic Rankine Cycle based on natural refrigerants and their binary mixtures," Energy, Elsevier, vol. 88(C), pages 80-92.
    16. Feng, Yongqiang & Zhang, Yaning & Li, Bingxi & Yang, Jinfu & Shi, Yang, 2015. "Sensitivity analysis and thermoeconomic comparison of ORCs (organic Rankine cycles) for low temperature waste heat recovery," Energy, Elsevier, vol. 82(C), pages 664-677.
    17. 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.
    18. Li, Tailu & Zhang, Zhigang & Lu, Jian & Yang, Junlan & Hu, Yujie, 2015. "Two-stage evaporation strategy to improve system performance for organic Rankine cycle," Applied Energy, Elsevier, vol. 150(C), pages 323-334.
    19. Walraven, Daniël & Laenen, Ben & D'haeseleer, William, 2015. "Economic system optimization of air-cooled organic Rankine cycles powered by low-temperature geothermal heat sources," Energy, Elsevier, vol. 80(C), pages 104-113.
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    3. Manente, Giovanni & Lazzaretto, Andrea & Bonamico, Eleonora, 2017. "Design guidelines for the choice between single and dual pressure layouts in organic Rankine cycle (ORC) systems," Energy, Elsevier, vol. 123(C), pages 413-431.
    4. Rech, Sergio & Zandarin, Simone & Lazzaretto, Andrea & Frangopoulos, Christos A., 2017. "Design and off-design models of single and two-stage ORC systems on board a LNG carrier for the search of the optimal performance and control strategy," Applied Energy, Elsevier, vol. 204(C), pages 221-241.
    5. Van Erdeweghe, Sarah & Van Bael, Johan & Laenen, Ben & D’haeseleer, William, 2019. "Design and off-design optimization procedure for low-temperature geothermal organic Rankine cycles," Applied Energy, Elsevier, vol. 242(C), pages 716-731.
    6. Xu, Weicong & Deng, Shuai & Su, Wen & Zhang, Ying & Zhao, Li & Yu, Zhixin, 2018. "How to approach Carnot cycle via zeotropic working fluid: Research methodology and case study," Energy, Elsevier, vol. 144(C), pages 576-586.
    7. Da Lio, Luca & Manente, Giovanni & Lazzaretto, Andrea, 2017. "A mean-line model to predict the design efficiency of radial inflow turbines in organic Rankine cycle (ORC) systems," Applied Energy, Elsevier, vol. 205(C), pages 187-209.
    8. Hu, Shuozhuo & Yang, Zhen & Li, Jian & Duan, Yuanyuan, 2022. "Optimal solar thermal retrofit for geothermal power systems considering the lifetime brine degradation," Renewable Energy, Elsevier, vol. 186(C), pages 628-645.
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    10. Van Erdeweghe, Sarah & Van Bael, Johan & Laenen, Ben & D'haeseleer, William, 2019. "Optimal configuration for a low-temperature geothermal CHP plant based on thermoeconomic optimization," Energy, Elsevier, vol. 179(C), pages 323-335.

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