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Parametric optimization of regenerative organic Rankine cycle (ORC) for low grade waste heat recovery using genetic algorithm

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  • Xi, Huan
  • Li, Ming-Jia
  • Xu, Chao
  • He, Ya-Ling

Abstract

By using exergy efficiency as an objective function, the performances of three different organic Rankine cycles (ORCs) systems including the basic ORC (BORC) system, the single-stage regenerative ORC (SRORC) system and the double-stage regenerative ORC (DRORC) system using six different working fluids under the same waste heat condition are examined. The genetic algorithm (GA) is chosen as a novel way to determine the optimal fractions of the flow rates in regenerative ORC systems. The ORC systems using each working fluid are optimized to their optimal operating conditions and the corresponding thermodynamic parameters under every optimal operating condition are calculated. The results show that for each working fluid, the DRORC system always gives the best thermal efficiency and exergy efficiency under the optimal operating conditions, followed by the SRORC system, and the BORC system has the worst efficiencies. R11 and R141b are recommended as suitable working fluids for ORC systems for their superior thermodynamic performances.

Suggested Citation

  • Xi, Huan & Li, Ming-Jia & Xu, Chao & He, Ya-Ling, 2013. "Parametric optimization of regenerative organic Rankine cycle (ORC) for low grade waste heat recovery using genetic algorithm," Energy, Elsevier, vol. 58(C), pages 473-482.
  • Handle: RePEc:eee:energy:v:58:y:2013:i:c:p:473-482
    DOI: 10.1016/j.energy.2013.06.039
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    References listed on IDEAS

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    1. Roy, J.P. & Mishra, M.K. & Misra, Ashok, 2010. "Parametric optimization and performance analysis of a waste heat recovery system using Organic Rankine Cycle," Energy, Elsevier, vol. 35(12), pages 5049-5062.
    2. Wang, E.H. & Zhang, H.G. & Fan, B.Y. & Ouyang, M.G. & Zhao, Y. & Mu, Q.H., 2011. "Study of working fluid selection of organic Rankine cycle (ORC) for engine waste heat recovery," Energy, Elsevier, vol. 36(5), pages 3406-3418.
    3. 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.
    4. Yamamoto, Takahisa & Furuhata, Tomohiko & Arai, Norio & Mori, Koichi, 2001. "Design and testing of the Organic Rankine Cycle," Energy, Elsevier, vol. 26(3), pages 239-251.
    5. 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.
    6. Saleh, Bahaa & Koglbauer, Gerald & Wendland, Martin & Fischer, Johann, 2007. "Working fluids for low-temperature organic Rankine cycles," Energy, Elsevier, vol. 32(7), pages 1210-1221.
    7. Varadharajan, T.K. & Rajendran, Chandrasekharan, 2005. "A multi-objective simulated-annealing algorithm for scheduling in flowshops to minimize the makespan and total flowtime of jobs," European Journal of Operational Research, Elsevier, vol. 167(3), pages 772-795, December.
    8. Lior, Noam & Zhang, Na, 2007. "Energy, exergy, and Second Law performance criteria," Energy, Elsevier, vol. 32(4), pages 281-296.
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