IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v149y2018icp875-889.html
   My bibliography  Save this article

Design optimization workflow and performance analysis for contoured endwalls of axial turbines

Author

Listed:
  • Kadhim, Hakim T.
  • Rona, Aldo

Abstract

Advances in computer-based optimization techniques can be used to enhance the efficiency of energy conversions processes, such as by reducing the aerodynamic loss in thermal power plant turbomachines. One viable approach for reducing this flow energy loss is by endwall contouring. This paper implements a design optimization workflow for the casing geometry of a 1.5 stage axial turbine, towards mitigating secondary flows. Two different parametric casing surface definitions are used in the optimization process. The first method is a new nonaxisymmetric casing design using a novel surface definition. The second method is an established diffusion design technique. The designs are tested on a three-dimensional axial turbine RANS model. Computer-based optimization of the surface topology is demonstrated towards automating the design process. This is implemented using Automated Process and Optimization Workbench (APOW) software. Kriging is used to accelerate the optimization process. The optimization and its sensitivity analysis give confidence that a good predictive ability is obtained by the Kriging surrogate model used in the prototype design process tested in this work. A flow analysis confirms the positive impact of the optimized casing groove design on the stage isentropic efficiency compared to the diffusion design and compared to the benchmark axisymmetric design.

Suggested Citation

  • Kadhim, Hakim T. & Rona, Aldo, 2018. "Design optimization workflow and performance analysis for contoured endwalls of axial turbines," Energy, Elsevier, vol. 149(C), pages 875-889.
    • Handle: RePEc:eee:energy:v:149:y:2018:i:c:p:875-889
    DOI: 10.1016/j.energy.2018.02.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544218302172
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2018.02.001?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. Song, Yanping & Sun, Xiaojing & Huang, Diangui, 2017. "Preliminary design and performance analysis of a centrifugal turbine for Organic Rankine Cycle (ORC) applications," Energy, Elsevier, vol. 140(P1), pages 1239-1251.
    2. 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.
    3. Da Lio, Luca & Manente, Giovanni & Lazzaretto, Andrea, 2016. "Predicting the optimum design of single stage axial expanders in ORC systems: Is there a single efficiency map for different working fluids?," Applied Energy, Elsevier, vol. 167(C), pages 44-58.
    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. Wang, Zhiduo & Feng, Zhenping & Zhang, Xiaobo & Peng, Jingbo & Zhang, Fei & Wu, Xing, 2022. "Improving cooling performance and robustness of NGV endwall film cooling design using micro-scale ribs considering incidence effects," Energy, Elsevier, vol. 253(C).
    2. Perera, A.T.D. & Wickramasinghe, P.U. & Nik, Vahid M. & Scartezzini, Jean-Louis, 2019. "Machine learning methods to assist energy system optimization," Applied Energy, Elsevier, vol. 243(C), pages 191-205.
    3. Wang, Yanhong & Cao, Lihua & Li, Xingcan & Wang, Jiaxing & Hu, Pengfei & Li, Bo & Li, Yong, 2020. "A novel thermodynamic method and insight of heat transfer characteristics on economizer for supercritical thermal power plant," Energy, Elsevier, vol. 191(C).
    4. Li, Jinxing & Liu, Tianyuan & Wang, Yuqi & Xie, Yonghui, 2022. "Integrated graph deep learning framework for flow field reconstruction and performance prediction of turbomachinery," Energy, Elsevier, vol. 254(PC).
    5. Li, Jinxing & Liu, Tianyuan & Zhu, Guangya & Li, Yunzhu & Xie, Yonghui, 2023. "Uncertainty quantification and aerodynamic robust optimization of turbomachinery based on graph learning methods," Energy, Elsevier, vol. 273(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. Kadhim, Hakim T. & Rona, Aldo, 2018. "Off-design performance of a liquefied natural gas plant with an axial turbine of novel endwall design," Applied Energy, Elsevier, vol. 222(C), pages 830-839.
    2. Peng Song & Jinju Sun & Shengyuan Wang & Xuesong Wang, 2022. "Multipoint Design Optimization of a Radial-Outflow Turbine for Kalina Cycle System Considering Flexible Operating Conditions and Variable Ammonia-Water Mass Fraction," Energies, MDPI, vol. 15(22), pages 1-19, November.
    3. Sun, Hongchuang & Qin, Jiang & Hung, Tzu-Chen & Huang, Hongyan & Yan, Peigang, 2019. "Performance analysis of low speed axial impulse turbine using two type nozzles for small-scale organic Rankine cycle," Energy, Elsevier, vol. 169(C), pages 1139-1152.
    4. Li, Jinxing & Liu, Tianyuan & Wang, Yuqi & Xie, Yonghui, 2022. "Integrated graph deep learning framework for flow field reconstruction and performance prediction of turbomachinery," Energy, Elsevier, vol. 254(PC).
    5. Liang, Ying & Cai, Lei & Guan, Yanwen & Liu, Wenbin & Xiang, Yanlei & Li, Juan & He, Tianzhi, 2020. "Numerical study on an original oxy-fuel combustion power plant with efficient utilization of flue gas waste heat," Energy, Elsevier, vol. 193(C).
    6. Chang, Huawei & Wan, Zhongmin & Zheng, Yao & Chen, Xi & Shu, Shuiming & Tu, Zhengkai & Chan, Siew Hwa & Chen, Rui & Wang, Xiaodong, 2017. "Energy- and exergy-based working fluid selection and performance analysis of a high-temperature PEMFC-based micro combined cooling heating and power system," Applied Energy, Elsevier, vol. 204(C), pages 446-458.
    7. Braimakis, Konstantinos & Karellas, Sotirios, 2017. "Integrated thermoeconomic optimization of standard and regenerative ORC for different heat source types and capacities," Energy, Elsevier, vol. 121(C), pages 570-598.
    8. Lisicki, Michal & Lubitz, William & Taylor, Graham W., 2016. "Optimal design and operation of Archimedes screw turbines using Bayesian optimization," Applied Energy, Elsevier, vol. 183(C), pages 1404-1417.
    9. Sun, Hongchuang & Qin, Jiang & Hung, Tzu-Chen & Lin, Chih-Hung & Lin, Yi-Fan, 2018. "Performance comparison of organic Rankine cycle with expansion from superheated zone or two-phase zone based on temperature utilization rate of heat source," Energy, Elsevier, vol. 149(C), pages 566-576.
    10. 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.
    11. Da Lio, Luca & Manente, Giovanni & Lazzaretto, Andrea, 2017. "A mean-line model to predict the design efficiency of radial inflow turbines in organic Rankine cycle (ORC) systems," Applied Energy, Elsevier, vol. 205(C), pages 187-209.
    12. Lan, Song & Li, Qingshan & Guo, Xin & Wang, Shukun & Chen, Rui, 2023. "Fuel saving potential analysis of bifunctional vehicular waste heat recovery system using thermoelectric generator and organic Rankine cycle," Energy, Elsevier, vol. 263(PB).
    13. Peng Li & Zhonghe Han & Xiaoqiang Jia & Zhongkai Mei & Xu Han, 2018. "Analysis of the Effects of Blade Installation Angle and Blade Number on Radial-Inflow Turbine Stator Flow Performance," Energies, MDPI, vol. 11(9), pages 1-15, August.
    14. Xu, Weicong & Deng, Shuai & Zhao, Li & Zhang, Yue & Li, Shuangjun, 2019. "Performance analysis on novel thermodynamic cycle under the guidance of 3D construction method," Applied Energy, Elsevier, vol. 250(C), pages 478-492.
    15. Jun-Seong Kim & Do-Yeop Kim, 2020. "Preliminary Design and Off-Design Analysis of a Radial Outflow Turbine for Organic Rankine Cycles," Energies, MDPI, vol. 13(8), pages 1-18, April.
    16. Shuozhuo Hu & Zhen Yang & Jian Li & Yuanyuan Duan, 2021. "A Review of Multi-Objective Optimization in Organic Rankine Cycle (ORC) System Design," Energies, MDPI, vol. 14(20), pages 1-36, October.
    17. Martin T. White & Abdulnaser I. Sayma, 2018. "A Generalised Assessment of Working Fluids and Radial Turbines for Non-Recuperated Subcritical Organic Rankine Cycles," Energies, MDPI, vol. 11(4), pages 1-26, March.
    18. Enhua Wang & Ningjian Peng, 2023. "A Review on the Preliminary Design of Axial and Radial Turbines for Small-Scale Organic Rankine Cycle," Energies, MDPI, vol. 16(8), pages 1-20, April.
    19. Lazzaretto, Andrea & Manente, Giovanni & Toffolo, Andrea, 2018. "SYNTHSEP: A general methodology for the synthesis of energy system configurations beyond superstructures," Energy, Elsevier, vol. 147(C), pages 924-949.
    20. Su, Wen & Hwang, Yunho & shao, Yawei & Deng, Shuai & Zhao, Li & Nie, Xianhua & Zhang, Yue, 2019. "Error analysis of ORC performance calculation based on the Helmholtz equation with different binary interaction parameters of mixture," Energy, Elsevier, vol. 166(C), pages 414-425.

    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:149:y:2018:i:c:p:875-889. 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.