IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v138y2019icp1214-1231.html
   My bibliography  Save this article

Efficiency improvement of a CAES low aspect ratio radial inflow turbine by NACA blade profile

Author

Listed:
  • Wang, Xing
  • Li, Wen
  • Zhang, Xuehui
  • Zhu, Yangli
  • Zuo, Zhitao
  • Chen, Haisheng

Abstract

Compressed Air Energy Storage (CAES) System is a significant technology for renewable energy utilization. As a power generation device in the system, the blade of radial inflow turbine has a lower aspect ratio and tip leakage loss is larger. A novel blade profile based on NACA standard airfoil is proposed and optimized by orthogonal design coupling Computational Fluid Dynamic (CFD) model. The effect of NACA-based profile parameters on isentropic efficiency is obtained and the tip leakage flow loss mechanism is revealed. The applicability of blade with optimal NACA-based profile is investigated under off-design operation and non-uniformity inlet conditions. Results indicate that the optimal NACA-based profile has larger leading edge inscribed circle radius and smaller thickness at trail part of blade which reduces the tip leakage flow velocity near trailing edge and weakens the mixing of the leakage flow and mainstream. As a result, the efficiency of the radial inflow turbine can be increased by 1.26%, 1.20% and 1.99% when the tip clearance are 2%, 4%, and 8%, respectively. The blade with optimal NACA-based profile also increases the efficiency of the radial inflow turbine at different pressure ratios and inlet attack angles and satisfies the deformation and structure strength requirement.

Suggested Citation

  • Wang, Xing & Li, Wen & Zhang, Xuehui & Zhu, Yangli & Zuo, Zhitao & Chen, Haisheng, 2019. "Efficiency improvement of a CAES low aspect ratio radial inflow turbine by NACA blade profile," Renewable Energy, Elsevier, vol. 138(C), pages 1214-1231.
  • Handle: RePEc:eee:renene:v:138:y:2019:i:c:p:1214-1231
    DOI: 10.1016/j.renene.2019.02.034
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148119301855
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2019.02.034?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. Facci, Andrea L. & Sánchez, David & Jannelli, Elio & Ubertini, Stefano, 2015. "Trigenerative micro compressed air energy storage: Concept and thermodynamic assessment," Applied Energy, Elsevier, vol. 158(C), pages 243-254.
    2. Zhao, Pan & Gao, Lin & Wang, Jiangfeng & Dai, Yiping, 2016. "Energy efficiency analysis and off-design analysis of two different discharge modes for compressed air energy storage system using axial turbines," Renewable Energy, Elsevier, vol. 85(C), pages 1164-1177.
    3. Zhu, Jun & Chen, Wu, 2014. "Energy and exergy performance analysis of a marine rotary desiccant air-conditioning system based on orthogonal experiment," Energy, Elsevier, vol. 77(C), pages 953-962.
    4. Safaei, Hossein & Keith, David W. & Hugo, Ronald J., 2013. "Compressed air energy storage (CAES) with compressors distributed at heat loads to enable waste heat utilization," Applied Energy, Elsevier, vol. 103(C), pages 165-179.
    5. Feng, Zhong-kai & Niu, Wen-jing & Cheng, Chun-tian & Liao, Sheng-li, 2017. "Hydropower system operation optimization by discrete differential dynamic programming based on orthogonal experiment design," Energy, Elsevier, vol. 126(C), pages 720-732.
    6. Guo, Huan & Xu, Yujie & Chen, Haisheng & Guo, Cong & Qin, Wei, 2017. "Thermodynamic analytical solution and exergy analysis for supercritical compressed air energy storage system," Applied Energy, Elsevier, vol. 199(C), pages 96-106.
    7. Alami, Abdul Hai & Aokal, Kamilia & Abed, Jehad & Alhemyari, Mohammad, 2017. "Low pressure, modular compressed air energy storage (CAES) system for wind energy storage applications," Renewable Energy, Elsevier, vol. 106(C), pages 201-211.
    8. Houssainy, Sammy & Janbozorgi, Mohammad & Ip, Peggy & Kavehpour, Pirouz, 2018. "Thermodynamic analysis of a high temperature hybrid compressed air energy storage (HTH-CAES) system," Renewable Energy, Elsevier, vol. 115(C), pages 1043-1054.
    9. Stefano Ubertini & Andrea Luigi Facci & Luca Andreassi, 2017. "Hybrid Hydrogen and Mechanical Distributed Energy Storage," Energies, MDPI, vol. 10(12), pages 1-16, December.
    10. Jannelli, E. & Minutillo, M. & Lubrano Lavadera, A. & Falcucci, G., 2014. "A small-scale CAES (compressed air energy storage) system for stand-alone renewable energy power plant for a radio base station: A sizing-design methodology," Energy, Elsevier, vol. 78(C), pages 313-322.
    11. Chen, Jie & Liu, Wei & Jiang, Deyi & Zhang, Junwei & Ren, Song & Li, Lin & Li, Xiaokang & Shi, Xilin, 2017. "Preliminary investigation on the feasibility of a clean CAES system coupled with wind and solar energy in China," Energy, Elsevier, vol. 127(C), pages 462-478.
    12. Haisheng Chen & Xinjing Zhang & Jinchao Liu & Chunqing Tan, 2013. "Compressed Air Energy Storage," Chapters, in: Ahmed F. Zobaa (ed.), Energy Storage - Technologies and Applications, IntechOpen.
    13. 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.
    Full references (including those not matched with items on IDEAS)

    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. Tong, Zheming & Cheng, Zhewu & Tong, Shuiguang, 2021. "A review on the development of compressed air energy storage in China: Technical and economic challenges to commercialization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    2. Bazdar, Elaheh & Sameti, Mohammad & Nasiri, Fuzhan & Haghighat, Fariborz, 2022. "Compressed air energy storage in integrated energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    3. Cheayb, Mohamad & Marin Gallego, Mylène & Tazerout, Mohand & Poncet, Sébastien, 2022. "A techno-economic analysis of small-scale trigenerative compressed air energy storage system," Energy, Elsevier, vol. 239(PA).
    4. Ma, Xin & Zhang, Chenghui & Li, Ke & Li, Fan & Wang, Haiyang & Chen, Jianfei, 2020. "Optimal dispatching strategy of regional micro energy system with compressed air energy storage," Energy, Elsevier, vol. 212(C).
    5. Valdivia, Patricio & Barraza, Rodrigo & Saldivia, David & Gacitúa, Leonardo & Barrueto, Aldo & Estay, Danilo, 2020. "Assessment of a Compressed Air Energy Storage System using gas pipelines as storage devices in Chile," Renewable Energy, Elsevier, vol. 147(P1), pages 1251-1265.
    6. Pottie, Daniel L.F. & Ferreira, Rafael A.M. & Maia, Thales A.C. & Porto, Matheus P., 2020. "An alternative sequence of operation for Pumped-Hydro Compressed Air Energy Storage (PH-CAES) systems," Energy, Elsevier, vol. 191(C).
    7. Han, Zhonghe & Guo, Senchuang, 2018. "Investigation of operation strategy of combined cooling, heating and power(CCHP) system based on advanced adiabatic compressed air energy storage," Energy, Elsevier, vol. 160(C), pages 290-308.
    8. Thomas Guewouo & Lingai Luo & Dominique Tarlet & Mohand Tazerout, 2019. "Identification of Optimal Parameters for a Small-Scale Compressed-Air Energy Storage System Using Real Coded Genetic Algorithm," Energies, MDPI, vol. 12(3), pages 1-32, January.
    9. 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.
    10. Chen, Long Xiang & Xie, Mei Na & Zhao, Pan Pan & Wang, Feng Xiang & Hu, Peng & Wang, Dong Xiang, 2018. "A novel isobaric adiabatic compressed air energy storage (IA-CAES) system on the base of volatile fluid," Applied Energy, Elsevier, vol. 210(C), pages 198-210.
    11. Chen, Hao & Wang, Huanran & Li, Ruixiong & Sun, Hao & Ge, Gangqiang & Ling, Lanning, 2022. "Experimental and analytical investigation of near-isothermal pumped hydro-compressed air energy storage system," Energy, Elsevier, vol. 249(C).
    12. Meng, Hui & Wang, Meihong & Olumayegun, Olumide & Luo, Xiaobo & Liu, Xiaoyan, 2019. "Process design, operation and economic evaluation of compressed air energy storage (CAES) for wind power through modelling and simulation," Renewable Energy, Elsevier, vol. 136(C), pages 923-936.
    13. Liao, Zhirong & Zhong, Hua & Xu, Chao & Ju, Xing & Ye, Feng & Du, Xiaoze, 2020. "Investigation of a packed bed cold thermal storage in supercritical compressed air energy storage systems," Applied Energy, Elsevier, vol. 269(C).
    14. Briola, Stefano & Di Marco, Paolo & Gabbrielli, Roberto & Riccardi, Juri, 2016. "A novel mathematical model for the performance assessment of diabatic compressed air energy storage systems including the turbomachinery characteristic curves," Applied Energy, Elsevier, vol. 178(C), pages 758-772.
    15. Liu, Zhan & Yang, Xuqing & Liu, Xu & Wang, Wenbin & Yang, Xiaohu, 2021. "Evaluation of a trigeneration system based on adiabatic compressed air energy storage and absorption heat pump: Thermodynamic analysis," Applied Energy, Elsevier, vol. 300(C).
    16. Zhang, Yi & Xu, Yujie & Zhou, Xuezhi & Guo, Huan & Zhang, Xinjing & Chen, Haisheng, 2019. "Compressed air energy storage system with variable configuration for accommodating large-amplitude wind power fluctuation," Applied Energy, Elsevier, vol. 239(C), pages 957-968.
    17. Zhou, Qian & Du, Dongmei & Lu, Chang & He, Qing & Liu, Wenyi, 2019. "A review of thermal energy storage in compressed air energy storage system," Energy, Elsevier, vol. 188(C).
    18. Wang, Peizi & Zhao, Pan & Wang, Jiangfeng & Dai, Yiping, 2020. "Performance evaluation of a combined heat and compressed air energy storage system integrated with ORC for scaling up storage capacity purpose," Energy, Elsevier, vol. 190(C).
    19. Venkataramani, Gayathri & Vijayamithran, Pranesh & Li, Yongliang & Ding, Yulong & Chen, Haisheng & Ramalingam, Velraj, 2019. "Thermodynamic analysis on compressed air energy storage augmenting power / polygeneration for roundtrip efficiency enhancement," Energy, Elsevier, vol. 180(C), pages 107-120.
    20. Andrea Vallati & Chiara Colucci & Pawel Oclon, 2018. "Energetical Analysis of Two Different Configurations of a Liquid-Gas Compressed Energy Storage," Energies, MDPI, vol. 11(12), pages 1-18, December.

    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:renene:v:138:y:2019:i:c:p:1214-1231. 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/renewable-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.