IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v245y2022ics0360544222002158.html
   My bibliography  Save this article

Energy loss of radial inflow turbine for organic Rankine cycle using mixture based on entropy production method

Author

Listed:
  • Wang, Zhiqi
  • Xie, Baoqi
  • Xia, Xiaoxia
  • Yang, Huya
  • Zuo, Qingsong
  • Liu, Zhipeng

Abstract

The radial inflow turbine is the core component of the organic Rankine cycle(ORC) system. Based on the internal flow field of the turbine analyzed by computational fluid dynamics (CFD), the energy dissipation of a radial inflow turbine with variable guide vane is determined by the entropy production analysis method. In the presented work, the mixture of R245fa/R134a is selected as the working fluid, and the effects of tip clearance and mixing ratio on the flow loss characteristics are investigated. The results show that the high entropy production region in the stator is caused by leakage vortex and shock phenomenon, while the passage vortex and leakage vortex are the reasons for the high loss area in the rotor. The total volume entropy production of rotor is mainly composed of the passage zone, which is significantly higher than that of the stator. As the tip clearance increases from 3% to 10%, the total entropy production of stator and rotor increases by 54.5 and 161.7% respectively, and the output power and isentropic efficiency of the turbine decrease by 14.7% and 14.6% respectively. With the increase of R245fa mass fraction, the total volume entropy production of the stator and rotor decreases linearly. Compared with R134a, the turbine isentropic efficiency of R245fa increases by 3.1%.

Suggested Citation

  • Wang, Zhiqi & Xie, Baoqi & Xia, Xiaoxia & Yang, Huya & Zuo, Qingsong & Liu, Zhipeng, 2022. "Energy loss of radial inflow turbine for organic Rankine cycle using mixture based on entropy production method," Energy, Elsevier, vol. 245(C).
    • Handle: RePEc:eee:energy:v:245:y:2022:i:c:s0360544222002158
    DOI: 10.1016/j.energy.2022.123312
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222002158
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.123312?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nithesh, K.G. & Chatterjee, Dhiman, 2016. "Numerical prediction of the performance of radial inflow turbine designed for ocean thermal energy conversion system," Applied Energy, Elsevier, vol. 167(C), pages 1-16.
    2. Wang, Enhua & Yu, Zhibin & Collings, Peter, 2017. "Dynamic control strategy of a distillation system for a composition-adjustable organic Rankine cycle," Energy, Elsevier, vol. 141(C), pages 1038-1051.
    3. Bamorovat Abadi, Gholamreza & Yun, Eunkoo & Kim, Kyung Chun, 2015. "Experimental study of a 1 kw organic Rankine cycle with a zeotropic mixture of R245fa/R134a," Energy, Elsevier, vol. 93(P2), pages 2363-2373.
    4. Serrano, José Ramón & Navarro, Roberto & García-Cuevas, Luis Miguel & Inhestern, Lukas Benjamin, 2018. "Turbocharger turbine rotor tip leakage loss and mass flow model valid up to extreme off-design conditions with high blade to jet speed ratio," Energy, Elsevier, vol. 147(C), pages 1299-1310.
    5. Hu, Dongshuai & Zheng, Ya & Wu, Yi & Li, Saili & Dai, Yiping, 2015. "Off-design performance comparison of an organic Rankine cycle under different control strategies," Applied Energy, Elsevier, vol. 156(C), pages 268-279.
    6. Ghorani, Mohammad Mahdi & Sotoude Haghighi, Mohammad Hadi & Maleki, Ali & Riasi, Alireza, 2020. "A numerical study on mechanisms of energy dissipation in a pump as turbine (PAT) using entropy generation theory," Renewable Energy, Elsevier, vol. 162(C), pages 1036-1053.
    7. Cai, Jinwen & Shu, Gequn & Tian, Hua & Wang, Xuan & Wang, Rui & Shi, Xiaolei, 2020. "Validation and analysis of organic Rankine cycle dynamic model using zeotropic mixture," Energy, Elsevier, vol. 197(C).
    8. Uusitalo, Antti & Turunen-Saaresti, Teemu & Grönman, Aki, 2021. "Design and loss analysis of radial turbines for supercritical CO2 Brayton cycles," Energy, Elsevier, vol. 230(C).
    9. Collings, Peter & Yu, Zhibin & Wang, Enhua, 2016. "A dynamic organic Rankine cycle using a zeotropic mixture as the working fluid with composition tuning to match changing ambient conditions," Applied Energy, Elsevier, vol. 171(C), pages 581-591.
    10. Yu, Zhi-Feng & Wang, Wen-Quan & Yan, Yan & Liu, Xing-Shun, 2021. "Energy loss evaluation in a Francis turbine under overall operating conditions using entropy production method," Renewable Energy, Elsevier, vol. 169(C), pages 982-999.
    11. Sauret, Emilie & Rowlands, Andrew S., 2011. "Candidate radial-inflow turbines and high-density working fluids for geothermal power systems," Energy, Elsevier, vol. 36(7), pages 4460-4467.
    12. Antti Uusitalo & Aki Grönman, 2021. "Analysis of Radial Inflow Turbine Losses Operating with Supercritical Carbon Dioxide," Energies, MDPI, vol. 14(12), pages 1-18, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Witanowski, Łukasz & Ziółkowski, Paweł & Klonowicz, Piotr & Lampart, Piotr, 2023. "A hybrid approach to optimization of radial inflow turbine with principal component analysis," Energy, Elsevier, vol. 272(C).
    2. Haoqing Jiang & Wei Dong & Peixuan Li & Haichen Zhang, 2023. "Based on Wavelet and Windowed Multi-Resolution Dynamic Mode Decomposition, Transient Axial Force Analysis of a Centrifugal Pump under Variable Operating Conditions," Energies, MDPI, vol. 16(20), pages 1-25, October.
    3. Ma, Qingfen & Gao, Zezhou & Huang, Jie & Mahian, Omid & Feng, Xin & Lu, Hui & Wang, Shenghui & Wang, Chengpeng & Tang, Rongnian & Li, Jingru, 2023. "Thermodynamic analysis and turbine design of a 100 kW OTEC-ORC with binary non-azeotropic working fluid," Energy, Elsevier, vol. 263(PE).
    4. Feng, Yong-qiang & Wang, Yu & Yao, Lin & Xu, Jing-wei & Zhang, Fei-yang & He, Zhi-xia & Wang, Qian & Ma, Jian-long, 2023. "Parametric analysis and thermal-economical optimization of a parallel dual pressure evaporation and two stage regenerative organic Rankine cycle using mixture working fluids," Energy, Elsevier, vol. 263(PA).
    5. Wei Zang & Yuan Zheng & Yuquan Zhang & Xiangfeng Lin & Yanwei Li & Emmanuel Fernandez-Rodriguez, 2022. "Numerical Investigation on a Diffuser-Augmented Horizontal Axis Tidal Stream Turbine with the Entropy Production Theory," Mathematics, MDPI, vol. 11(1), pages 1-18, December.
    6. Wang, Zhiqi & Xie, Baoqi & Xia, Xiaoxia & Luo, Lan & Yang, Huya & Li, Xin, 2023. "Entropy production analysis of a radial inflow turbine with variable inlet guide vane for ORC application," Energy, Elsevier, vol. 265(C).
    7. Tao Shi, 2022. "The Spatiotemporal Evolutionary Trend and Driving Factors of the Coupling Coordinated Development between Regional Green Finance and Ecological Environment," IJERPH, MDPI, vol. 19(10), pages 1-25, May.
    8. Zhou, Xing & Wu, Hegao & Cheng, Li & Huang, Quanshui & Shi, Changzheng, 2023. "A new draft tube shape optimisation methodology of introducing inclined conical diffuser in hydraulic turbine," Energy, Elsevier, vol. 265(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huang, Yisheng & Chen, Jianyong & Chen, Ying & Luo, Xianglong & Liang, Yingzong & He, Jiacheng & Yang, Zhi, 2022. "Performance explorations of an organic Rankine cycle featured with separating and mixing composition of zeotropic mixture," Energy, Elsevier, vol. 257(C).
    2. Xu, Weicong & Zhao, Ruikai & Deng, Shuai & Zhao, Li & Mao, Samuel S., 2021. "Is zeotropic working fluid a promising option for organic Rankine cycle: A quantitative evaluation based on literature data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    3. Al Jubori, Ayad M. & Al-Dadah, Raya K. & Mahmoud, Saad & Daabo, Ahmed, 2017. "Modelling and parametric analysis of small-scale axial and radial-outflow turbines for Organic Rankine Cycle applications," Applied Energy, Elsevier, vol. 190(C), pages 981-996.
    4. Tieyu Gao & Changwei Liu, 2017. "Off-Design Performances of Subcritical and Supercritical Organic Rankine Cycles in Geothermal Power Systems under an Optimal Control Strategy," Energies, MDPI, vol. 10(8), pages 1-25, August.
    5. He, Jintao & Shi, Lingfeng & Tian, Hua & Wang, Xuan & Zhang, Yonghao & Zhang, Meiyan & Yao, Yu & Cai, Jinwen & Shu, Gequn, 2022. "Control strategy for a CO2-based combined cooling and power generation system based on heat source and cold sink fluctuations," Energy, Elsevier, vol. 257(C).
    6. Al Jubori, Ayad M. & Al-Dadah, Raya & Mahmoud, Saad, 2017. "Performance enhancement of a small-scale organic Rankine cycle radial-inflow turbine through multi-objective optimization algorithm," Energy, Elsevier, vol. 131(C), pages 297-311.
    7. Jie He & Qihang Liu & Zheng Long & Yujia Zhang & Xiumei Liu & Shaobing Xiang & Beibei Li & Shuyun Qiao, 2022. "Characteristics of Cavitation Flow for a Regulating Valve Based on Entropy Production Theory," Energies, MDPI, vol. 15(17), pages 1-18, September.
    8. Wang, Zhiqi & Xie, Baoqi & Xia, Xiaoxia & Luo, Lan & Yang, Huya & Li, Xin, 2023. "Entropy production analysis of a radial inflow turbine with variable inlet guide vane for ORC application," Energy, Elsevier, vol. 265(C).
    9. 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.
    10. Shuang Wang & Wei Zhang & Yong-Qiang Feng & Xin Wang & Qian Wang & Yu-Zhuang Liu & Yu Wang & Lin Yao, 2020. "Entropy, Entransy and Exergy Analysis of a Dual-Loop Organic Rankine Cycle (DORC) Using Mixture Working Fluids for Engine Waste Heat Recovery," Energies, MDPI, vol. 13(6), pages 1-25, March.
    11. 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.
    12. Bu, Shujuan & Yang, Xinle & Li, Weikang & Su, Chang & Dai, Wenzhi & Wang, Xin & Liu, Xunan & Tang, Meiling, 2023. "Energy, exergy, exergoeconomic, economic, and environmental analyses and multiobjective optimization of a SCMR–ORC system with zeotropic mixtures," Energy, Elsevier, vol. 263(PC).
    13. Liu, Changwei & Gao, Tieyu, 2019. "Off-design performance analysis of basic ORC, ORC using zeotropic mixtures and composition-adjustable ORC under optimal control strategy," Energy, Elsevier, vol. 171(C), pages 95-108.
    14. Moradi, Ramin & Cioccolanti, Luca & Del Zotto, Luca & Renzi, Massimiliano, 2023. "Comparative sensitivity analysis of micro-scale gas turbine and supercritical CO2 systems with bottoming organic Rankine cycles fed by the biomass gasification for decentralized trigeneration," Energy, Elsevier, vol. 266(C).
    15. Wang, Enhua & Yu, Zhibin & Collings, Peter, 2017. "Dynamic control strategy of a distillation system for a composition-adjustable organic Rankine cycle," Energy, Elsevier, vol. 141(C), pages 1038-1051.
    16. Ningjian Peng & Enhua Wang & Hongguang Zhang, 2021. "Preliminary Design of an Axial-Flow Turbine for Small-Scale Supercritical Organic Rankine Cycle," Energies, MDPI, vol. 14(17), pages 1-20, August.
    17. Wang, Zhiqi & Pan, Huihui & Xia, Xiaoxia & Xie, Baoqi & Peng, Deqi & Yang, Huya, 2022. "Experimental investigation on steady and dynamic performance of organic Rankine cycle with R245fa/R141b under different cooling and expander speed conditions," Energy, Elsevier, vol. 241(C).
    18. Peng, Ningjian & Wang, Enhua & Wang, Wenli, 2023. "Design and analysis of a 1.5 kW single-stage partial-admission impulse turbine for low-grade energy utilization," Energy, Elsevier, vol. 268(C).
    19. Wang, Enhua & Zhang, Mengru & Meng, Fanxiao & Zhang, Hongguang, 2022. "Zeotropic working fluid selection for an organic Rankine cycle bottoming with a marine engine," Energy, Elsevier, vol. 243(C).
    20. Lai, Xi & Zhao, Li & Nie, Xianhua & Zhang, Yue & Zhang, Qi, 2023. "Hydrate-based composition separation of R32/R1234yf mixed working fluids applied in composition-adjustable organic Rankine cycle," Energy, Elsevier, vol. 284(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:245:y:2022:i:c:s0360544222002158. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.