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ANN-PSO aided selection of hydrocarbons as working fluid for low-temperature organic Rankine cycle and thermodynamic evaluation of optimal working fluid

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  • Mohan, Sooraj
  • Dinesha, P.
  • Campana, Pietro Elia

Abstract

Organic Rankine cycle (ORC) has been demonstrated to extract useful work output from low-grade heat sources like solar-thermal, biomass/biofuel combustion, geothermal, and waste heat. However, working fluid selection for ORC is a complex process and calls for careful optimization. To address this problem, the current work constitutes a design of experiments approach with a full-factorial design. A heat source temperature of 150 °C is selected, and a list of 11 possible candidates of working fluid mixtures (among hydrocarbons) is taken. Work output and efficiencies from each fluid are determined based on the design of experiments, and the results are used to model an artificial neural network (ANN). Equations for work output and first law efficiency are developed using tan sigmoid function and ANN constants which act as objective functions that are maximized using multi-objective particle swarm optimization (PSO). The results of the ANN-PSO model is validated with the values from thermodynamic analysis with less than 2% error. The optimal working fluid obtained for maximum work output is R600a operating at an evaporator pressure of 1.88 MPa without any superheating. The resulting maximum work output is 7.15 kW at 8.05% thermal efficiency and an exergy efficiency of 38.13%.

Suggested Citation

  • Mohan, Sooraj & Dinesha, P. & Campana, Pietro Elia, 2022. "ANN-PSO aided selection of hydrocarbons as working fluid for low-temperature organic Rankine cycle and thermodynamic evaluation of optimal working fluid," Energy, Elsevier, vol. 259(C).
    • Handle: RePEc:eee:energy:v:259:y:2022:i:c:s0360544222018679
    DOI: 10.1016/j.energy.2022.124968
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    1. Dawo, Fabian & Fleischmann, Jonas & Kaufmann, Florian & Schifflechner, Christopher & Eyerer, Sebastian & Wieland, Christoph & Spliethoff, Hartmut, 2021. "R1224yd(Z), R1233zd(E) and R1336mzz(Z) as replacements for R245fa: Experimental performance, interaction with lubricants and environmental impact," Applied Energy, Elsevier, vol. 288(C).
    2. 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.
    3. 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.
    4. Le Brun, Niccolo & Simpson, Michael & Acha, Salvador & Shah, Nilay & Markides, Christos N., 2020. "Techno-economic potential of low-temperature, jacket-water heat recovery from stationary internal combustion engines with organic Rankine cycles: A cross-sector food-retail study," Applied Energy, Elsevier, vol. 274(C).
    5. Luo, Xianglong & Wang, Yupeng & Liang, Junwei & Qi, Ji & Su, Wen & Yang, Zhi & Chen, Jianyong & Wang, Chao & Chen, Ying, 2019. "Improved correlations for working fluid properties prediction and their application in performance evaluation of sub-critical Organic Rankine Cycle," Energy, Elsevier, vol. 174(C), pages 122-137.
    6. Amiri Rad, Ehsan & Mohammadi, Saeed & Tayyeban, Edris, 2020. "Simultaneous optimization of working fluid and boiler pressure in an organic Rankine cycle for different heat source temperatures," Energy, Elsevier, vol. 194(C).
    7. Rayegan, R. & Tao, Y.X., 2011. "A procedure to select working fluids for Solar Organic Rankine Cycles (ORCs)," Renewable Energy, Elsevier, vol. 36(2), pages 659-670.
    8. Liu, Bo-Tau & Chien, Kuo-Hsiang & Wang, Chi-Chuan, 2004. "Effect of working fluids on organic Rankine cycle for waste heat recovery," Energy, Elsevier, vol. 29(8), pages 1207-1217.
    9. 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.
    10. Liu, Qiang & Duan, Yuanyuan & Yang, Zhen, 2014. "Effect of condensation temperature glide on the performance of organic Rankine cycles with zeotropic mixture working fluids," Applied Energy, Elsevier, vol. 115(C), pages 394-404.
    11. Mascuch, Jakub & Novotny, Vaclav & Spale, Jan & Vodicka, Vaclav & Zeleny, Zbynek, 2021. "Experience from set-up and pilot operation of an in-house developed biomass-fired ORC microcogeneration unit," Renewable Energy, Elsevier, vol. 165(P1), pages 251-260.
    12. Frutiger, Jérôme & Andreasen, Jesper & Liu, Wei & Spliethoff, Hartmut & Haglind, Fredrik & Abildskov, Jens & Sin, Gürkan, 2016. "Working fluid selection for organic Rankine cycles – Impact of uncertainty of fluid properties," Energy, Elsevier, vol. 109(C), pages 987-997.
    13. Pereira, João S. & Ribeiro, José B. & Mendes, Ricardo & Vaz, Gilberto C. & André, Jorge C., 2018. "ORC based micro-cogeneration systems for residential application – A state of the art review and current challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 728-743.
    14. Qiu, K. & Entchev, E., 2020. "Development of an organic Rankine cycle-based micro combined heat and power system for residential applications," Applied Energy, Elsevier, vol. 275(C).
    15. 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.
    16. 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.
    17. Andreasen, J.G. & Larsen, U. & Knudsen, T. & Pierobon, L. & Haglind, F., 2014. "Selection and optimization of pure and mixed working fluids for low grade heat utilization using organic Rankine cycles," Energy, Elsevier, vol. 73(C), pages 204-213.
    18. Siddiqi, M. Aslam & Atakan, Burak, 2012. "Alkanes as fluids in Rankine cycles in comparison to water, benzene and toluene," Energy, Elsevier, vol. 45(1), pages 256-263.
    19. Morais, Pedro Henrique da Silva & Lodi, Andressa & Aoki, Adriana Cristine & Modesto, Marcelo, 2020. "Energy, exergetic and economic analyses of a combined solar-biomass-ORC cooling cogeneration systems for a Brazilian small plant," Renewable Energy, Elsevier, vol. 157(C), pages 1131-1147.
    20. Xu, Weicong & Zhao, Li & Mao, Samuel S. & Deng, Shuai, 2020. "Towards novel low temperature thermodynamic cycle: A critical review originated from organic Rankine cycle," Applied Energy, Elsevier, vol. 270(C).
    21. Kim, Dong Kyu & Lee, Ji Sung & Kim, Jinwoo & Kim, Mo Se & Kim, Min Soo, 2017. "Parametric study and performance evaluation of an organic Rankine cycle (ORC) system using low-grade heat at temperatures below 80°C," Applied Energy, Elsevier, vol. 189(C), pages 55-65.
    22. Xue, Jingjing & Ahmadian, Reza & Jones, Owen & Falconer, Roger A., 2021. "Design of tidal range energy generation schemes using a Genetic Algorithm model," Applied Energy, Elsevier, vol. 286(C).
    23. He, Chao & Liu, Chao & Gao, Hong & Xie, Hui & Li, Yourong & Wu, Shuangying & Xu, Jinliang, 2012. "The optimal evaporation temperature and working fluids for subcritical organic Rankine cycle," Energy, Elsevier, vol. 38(1), pages 136-143.
    24. Kasaeian, Alibakhsh & Bellos, Evangelos & Shamaeizadeh, Armin & Tzivanidis, Christos, 2020. "Solar-driven polygeneration systems: Recent progress and outlook," Applied Energy, Elsevier, vol. 264(C).
    25. Shu, Gequn & Gao, Yuanyuan & Tian, Hua & Wei, Haiqiao & Liang, Xingyu, 2014. "Study of mixtures based on hydrocarbons used in ORC (Organic Rankine Cycle) for engine waste heat recovery," Energy, Elsevier, vol. 74(C), pages 428-438.
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