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Novel Off-Design Operation Maps Showing Functionality Limitations of Organic Rankine Cycle Validated by Experiments

Author

Listed:
  • Ying Zhang

    (Solar Energy Research Institute, Yunnan Normal University, Kunming 650500, China
    Key Laboratory of Solar Heating and Cooling Technology of Yunnan Provincial Universities, Kunming 650500, China)

  • Li Zhao

    (Key Laboratory of Efficient Utilization of Low and Medium Grade Energy (Tianjin University), MOE, Tianjin 300072, China)

  • Shuai Deng

    (Key Laboratory of Efficient Utilization of Low and Medium Grade Energy (Tianjin University), MOE, Tianjin 300072, China)

  • Ming Li

    (Solar Energy Research Institute, Yunnan Normal University, Kunming 650500, China
    Key Laboratory of Solar Heating and Cooling Technology of Yunnan Provincial Universities, Kunming 650500, China)

  • Yali Liu

    (Solar Energy Research Institute, Yunnan Normal University, Kunming 650500, China)

  • Qiongfen Yu

    (Solar Energy Research Institute, Yunnan Normal University, Kunming 650500, China
    Key Laboratory of Solar Heating and Cooling Technology of Yunnan Provincial Universities, Kunming 650500, China)

  • Mengxing Li

    (Solar Energy Research Institute, Yunnan Normal University, Kunming 650500, China)

Abstract

In this study, we developed a new methodology to analyze the off-design performance of the organic Rankine cycle. The methodology enabled us to predict the performance based on four-dimensional decision variables and a set of constraints. A corresponding formulation and algorithm with general applicability were constructed. The reliability and feasibility of this methodology were validated by a test rig of the cycle with R245fa as the working fluid and three experimental schemes. Under specific working conditions, the theoretical results illustrated the operation maps, functionality limitations, and their variation laws, considering the interactive characteristics among the variables. The functionality limitations predicted a maximum thermal efficiency of 9.42%, corresponding to a net power output of 697.1 W, whereas the maximum net power output was 2251.5 W, corresponding to a thermal efficiency of 8.04%. The experimental results indicated that when the R245fa mass flow rate was 0.120 kg/s, the experimental efficiency and power output were 6.94% and 1873.4 W, respectively; when the R245fa mass flow rate was 0.049 kg/s, they were 3.54% and 274.1 W, respectively. These findings were in good agreement with the theoretical results, with relative errors below 7.64%. This work is expected to be applied in future dynamic control systems to update the setting points and manipulated variables in real time.

Suggested Citation

  • Ying Zhang & Li Zhao & Shuai Deng & Ming Li & Yali Liu & Qiongfen Yu & Mengxing Li, 2022. "Novel Off-Design Operation Maps Showing Functionality Limitations of Organic Rankine Cycle Validated by Experiments," Energies, MDPI, vol. 15(21), pages 1-19, November.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:8240-:d:963403
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    References listed on IDEAS

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    1. Chatzopoulou, Maria Anna & Lecompte, Steven & Paepe, Michel De & Markides, Christos N., 2019. "Off-design optimisation of organic Rankine cycle (ORC) engines with different heat exchangers and volumetric expanders in waste heat recovery applications," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    2. Palagi, Laura & Pesyridis, Apostolos & Sciubba, Enrico & Tocci, Lorenzo, 2019. "Machine Learning for the prediction of the dynamic behavior of a small scale ORC system," Energy, Elsevier, vol. 166(C), pages 72-82.
    3. Manente, Giovanni & Toffolo, Andrea & Lazzaretto, Andrea & Paci, Marco, 2013. "An Organic Rankine Cycle off-design model for the search of the optimal control strategy," Energy, Elsevier, vol. 58(C), pages 97-106.
    4. Quoilin, Sylvain & Aumann, Richard & Grill, Andreas & Schuster, Andreas & Lemort, Vincent & Spliethoff, Hartmut, 2011. "Dynamic modeling and optimal control strategy of waste heat recovery Organic Rankine Cycles," Applied Energy, Elsevier, vol. 88(6), pages 2183-2190, June.
    5. Ma, Zhiwei & Bao, Huashan & Roskilly, Anthony Paul, 2017. "Dynamic modelling and experimental validation of scroll expander for small scale power generation system," Applied Energy, Elsevier, vol. 186(P3), pages 262-281.
    6. Narasimhan, Arun Kumar & Wickramaratne, Chatura & Kamal, Rajeev & Goswami, D. Yogi & Singh, Punit, 2019. "Mapping scroll expander performance for organic working fluids using dimensionless parameters in Ns-Ds diagram," Energy, Elsevier, vol. 182(C), pages 739-752.
    7. Zhang, Jianhua & Lin, Mingming & Fang, Fang & Xu, Jinliang & Li, Kang, 2016. "Gain scheduling control of waste heat energy conversion systems based on an LPV (linear parameter varying) model," Energy, Elsevier, vol. 107(C), pages 773-783.
    8. Rathod, Dhruvang & Xu, Bin & Filipi, Zoran & Hoffman, Mark, 2019. "An experimentally validated, energy focused, optimal control strategy for an Organic Rankine Cycle waste heat recovery system," Applied Energy, Elsevier, vol. 256(C).
    9. Cao, Shuang & Xu, Jinliang & Miao, Zheng & Liu, Xiulong & Zhang, Ming & Xie, Xuewang & Li, Zhi & Zhao, Xiaoli & Tang, Guihua, 2019. "Steady and transient operation of an organic Rankine cycle power system," Renewable Energy, Elsevier, vol. 133(C), pages 284-294.
    10. Pierobon, Leonardo & Casati, Emiliano & Casella, Francesco & Haglind, Fredrik & Colonna, Piero, 2014. "Design methodology for flexible energy conversion systems accounting for dynamic performance," Energy, Elsevier, vol. 68(C), pages 667-679.
    11. Desideri, Adriano & Hernandez, Andres & Gusev, Sergei & van den Broek, Martijn & Lemort, Vincent & Quoilin, Sylvain, 2016. "Steady-state and dynamic validation of a small-scale waste heat recovery system using the ThermoCycle Modelica library," Energy, Elsevier, vol. 115(P1), pages 684-696.
    12. Hernandez, Andres & Desideri, Adriano & Gusev, Sergei & Ionescu, Clara M. & Den Broek, Martijn Van & Quoilin, Sylvain & Lemort, Vincent & De Keyser, Robin, 2017. "Design and experimental validation of an adaptive control law to maximize the power generation of a small-scale waste heat recovery system," Applied Energy, Elsevier, vol. 203(C), pages 549-559.
    13. Zhang, Ying & Deng, Shuai & Zhao, Li & Lin, Shan & Ni, Jiaxin & Ma, Minglu & Xu, Weicong, 2018. "Optimization and multi-time scale modeling of pilot solar driven polygeneration system based on organic Rankine cycle," Applied Energy, Elsevier, vol. 222(C), pages 396-409.
    14. Lecompte, Steven & Gusev, Sergei & Vanslambrouck, Bruno & De Paepe, Michel, 2018. "Experimental results of a small-scale organic Rankine cycle: Steady state identification and application to off-design model validation," Applied Energy, Elsevier, vol. 226(C), pages 82-106.
    15. Chatzopoulou, Maria Anna & Simpson, Michael & Sapin, Paul & Markides, Christos N., 2019. "Off-design optimisation of organic Rankine cycle (ORC) engines with piston expanders for medium-scale combined heat and power applications," Applied Energy, Elsevier, vol. 238(C), pages 1211-1236.
    16. Freeman, James & Hellgardt, Klaus & Markides, Christos N., 2017. "Working fluid selection and electrical performance optimisation of a domestic solar-ORC combined heat and power system for year-round operation in the UK," Applied Energy, Elsevier, vol. 186(P3), pages 291-303.
    17. 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.
    18. Antonelli, M. & Baccioli, A. & Francesconi, M. & Desideri, U., 2016. "Dynamic modelling of a low-concentration solar power plant: A control strategy to improve flexibility," Renewable Energy, Elsevier, vol. 95(C), pages 574-585.
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