IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i1p309-d716679.html
   My bibliography  Save this article

Performance Analysis of Organic Rankine Cycle with the Turbine Embedded in a Generator (TEG)

Author

Listed:
  • Jung-Bo Sim

    (Green Energy & Nano Technology R & D Group, Korea Institute of Industrial Technology, Gwangju 61012, Korea
    School of Mechanical Engineering, Hanyang University, Seoul 04763, Korea)

  • Se-Jin Yook

    (School of Mechanical Engineering, Hanyang University, Seoul 04763, Korea)

  • Young Won Kim

    (Green Energy & Nano Technology R & D Group, Korea Institute of Industrial Technology, Gwangju 61012, Korea)

Abstract

The organic Rankine cycle (ORC) is a thermodynamic cycle in which electrical power is generated using an organic refrigerant as a working fluid at low temperatures with low-grade enthalpy. We propose a turbine embedded in a generator (TEG), wherein the turbine rotor is embedded inside the generator rotor, thus simplifying turbine generator structure using only one bearing. The absence of tip clearance between the turbine rotor blade and casing wall in the TEG eliminates tip clearance loss, enhancing turbine efficiency. A single-stage axial-flow turbine was designed using mean-line analysis based on physical properties, and we conducted a parametric study of turbine performance, and predicted turbine efficiency and power using the tip clearance loss coefficient. When the tip clearance loss coefficient was applied, turbine isentropic efficiency and power were 0.89 and 20.42 kW, respectively, and ORC thermal efficiency was 4.81%. Conversely, the isentropic efficiency and power of the turbine without the tip clearance loss coefficient were 0.94 and 22.03 kW, respectively, and the thermal efficiency of the ORC was 5.08%. Therefore, applying the proposed TEG to the ORC system simplifies the turbine generator, while improving ORC thermal efficiency. A 3D turbine generator assembly with proposed TEG structure was also proposed.

Suggested Citation

  • Jung-Bo Sim & Se-Jin Yook & Young Won Kim, 2022. "Performance Analysis of Organic Rankine Cycle with the Turbine Embedded in a Generator (TEG)," Energies, MDPI, vol. 15(1), pages 1-18, January.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:1:p:309-:d:716679
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/1/309/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/1/309/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Li, You-Rong & Wang, Jian-Ning & Du, Mei-Tang, 2012. "Influence of coupled pinch point temperature difference and evaporation temperature on performance of organic Rankine cycle," Energy, Elsevier, vol. 42(1), pages 503-509.
    2. Kang, Seok Hun, 2012. "Design and experimental study of ORC (organic Rankine cycle) and radial turbine using R245fa working fluid," Energy, Elsevier, vol. 41(1), pages 514-524.
    3. Quoilin, Sylvain & Lemort, Vincent & Lebrun, Jean, 2010. "Experimental study and modeling of an Organic Rankine Cycle using scroll expander," Applied Energy, Elsevier, vol. 87(4), pages 1260-1268, April.
    4. Declaye, Sébastien & Quoilin, Sylvain & Guillaume, Ludovic & Lemort, Vincent, 2013. "Experimental study on an open-drive scroll expander integrated into an ORC (Organic Rankine Cycle) system with R245fa as working fluid," Energy, Elsevier, vol. 55(C), pages 173-183.
    5. Wang, Jiangfeng & Yan, Zhequan & Wang, Man & Ma, Shaolin & Dai, Yiping, 2013. "Thermodynamic analysis and optimization of an (organic Rankine cycle) ORC using low grade heat source," Energy, Elsevier, vol. 49(C), pages 356-365.
    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. Jung-Bo Sim & Se-Jin Yook & Young Won Kim, 2023. "Development of 180 kW Organic Rankine Cycle (ORC) with a High-Efficiency Two-Stage Axial Turbine," Energies, MDPI, vol. 16(20), pages 1-20, October.

    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. Jin, Yunli & Gao, Naiping & Zhu, Tong, 2022. "Effect of resistive load characteristics on the performance of Organic Rankine cycle (ORC)," Energy, Elsevier, vol. 246(C).
    2. Sung, Taehong & Yun, Eunkoo & Kim, Hyun Dong & Yoon, Sang Youl & Choi, Bum Seog & Kim, Kuisoon & Kim, Jangmok & Jung, Yang Beom & Kim, Kyung Chun, 2016. "Performance characteristics of a 200-kW organic Rankine cycle system in a steel processing plant," Applied Energy, Elsevier, vol. 183(C), pages 623-635.
    3. Gao, P. & Wang, L.W. & Wang, R.Z. & Jiang, L. & Zhou, Z.S., 2015. "Experimental investigation on a small pumpless ORC (organic rankine cycle) system driven by the low temperature heat source," Energy, Elsevier, vol. 91(C), pages 324-333.
    4. Miao, Zheng & Xu, Jinliang & Zhang, Kai, 2017. "Experimental and modeling investigation of an organic Rankine cycle system based on the scroll expander," Energy, Elsevier, vol. 134(C), pages 35-49.
    5. He, Wei & Wang, Jihong, 2018. "Optimal selection of air expansion machine in Compressed Air Energy Storage: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 87(C), pages 77-95.
    6. Yamada, Noboru & Tominaga, Yoshihito & Yoshida, Takanori, 2014. "Demonstration of 10-Wp micro organic Rankine cycle generator for low-grade heat recovery," Energy, Elsevier, vol. 78(C), pages 806-813.
    7. Lisheng Pan & Huaixin Wang, 2019. "Experimental Investigation on Performance of an Organic Rankine Cycle System Integrated with a Radial Flow Turbine," Energies, MDPI, vol. 12(4), pages 1-20, February.
    8. Steven Lecompte & Sanne Lemmens & Henk Huisseune & Martijn Van den Broek & Michel De Paepe, 2015. "Multi-Objective Thermo-Economic Optimization Strategy for ORCs Applied to Subcritical and Transcritical Cycles for Waste Heat Recovery," Energies, MDPI, vol. 8(4), pages 1-28, April.
    9. Feng, Yong-qiang & Hung, Tzu-Chen & Su, Ting-Ying & Wang, Shuang & Wang, Qian & Yang, Shih-Cheng & Lin, Jaw-Ren & Lin, Chih-Hung, 2017. "Experimental investigation of a R245fa-based organic Rankine cycle adapting two operation strategies: Stand alone and grid connect," Energy, Elsevier, vol. 141(C), pages 1239-1253.
    10. Liu, Chao & Wang, Shukun & Zhang, Cheng & Li, Qibin & Xu, Xiaoxiao & Huo, Erguang, 2019. "Experimental study of micro-scale organic Rankine cycle system based on scroll expander," Energy, Elsevier, vol. 188(C).
    11. Li, Jing & Gao, Guangtao & Li, Pengcheng & Pei, Gang & Huang, Hulin & Su, Yuehong & Ji, Jie, 2018. "Experimental study of organic Rankine cycle in the presence of non-condensable gases," Energy, Elsevier, vol. 142(C), pages 739-753.
    12. Yun, Eunkoo & Kim, Dokyun & Yoon, Sang Youl & Kim, Kyung Chun, 2015. "Experimental investigation of an organic Rankine cycle with multiple expanders used in parallel," Applied Energy, Elsevier, vol. 145(C), pages 246-254.
    13. Zhang, Hong-Hu & Xi, Huan & He, Ya-Ling & Zhang, Yu-Wen & Ning, Bo, 2019. "Experimental study of the organic rankine cycle under different heat and cooling conditions," Energy, Elsevier, vol. 180(C), pages 678-688.
    14. Koppauer, H. & Kemmetmüller, W. & Kugi, A., 2017. "Modeling and optimal steady-state operating points of an ORC waste heat recovery system for diesel engines," Applied Energy, Elsevier, vol. 206(C), pages 329-345.
    15. Landelle, Arnaud & Tauveron, Nicolas & Haberschill, Philippe & Revellin, Rémi & Colasson, Stéphane, 2017. "Organic Rankine cycle design and performance comparison based on experimental database," Applied Energy, Elsevier, vol. 204(C), pages 1172-1187.
    16. Zhang, Jianhua & Zhou, Yeli & Wang, Rui & Xu, Jinliang & Fang, Fang, 2014. "Modeling and constrained multivariable predictive control for ORC (Organic Rankine Cycle) based waste heat energy conversion systems," Energy, Elsevier, vol. 66(C), pages 128-138.
    17. Kang, Seok Hun, 2016. "Design and preliminary tests of ORC (organic Rankine cycle) with two-stage radial turbine," Energy, Elsevier, vol. 96(C), pages 142-154.
    18. 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.
    19. Yang, Min-Hsiung & Yeh, Rong-Hua, 2015. "Thermo-economic optimization of an organic Rankine cycle system for large marine diesel engine waste heat recovery," Energy, Elsevier, vol. 82(C), pages 256-268.
    20. Dong, Hye-Won & Jeong, Jae-Weon, 2020. "Energy benefits of organic Rankine cycle in a liquid desiccant and evaporative cooling-assisted air conditioning system," Renewable Energy, Elsevier, vol. 147(P1), pages 2358-2373.

    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:gam:jeners:v:15:y:2022:i:1:p:309-:d:716679. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.