IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v215y2021ipbs036054422032274x.html
   My bibliography  Save this article

The survey of the combined heat and compressed air energy storage (CH-CAES) system with dual power levels turbomachinery configuration for wind power peak shaving based spectral analysis

Author

Listed:
  • Zhao, Pan
  • Wang, Peizi
  • Xu, Wenpan
  • Zhang, Shiqiang
  • Wang, Jiangfeng
  • Dai, Yiping

Abstract

From the wind power spectrum density, wind energy fluctuations include various components with different frequencies and amplitudes. The hybrid energy storage, in this context, is a good choice for mitigating the wind power fluctuations effectively. Combined heat and compressed air energy storage (CH-CAES) system as a new CAES concept, can enlarge the system power/energy level with fixed underground cavern volume. Indeed, the CH-CAES system can be considered as a type of hybrid energy storage technology in which the compressors and electric heater are the two kinds of complementary energy storage elements. In this paper, the feasibility of utilizing the CH-CAES concept into wind power system for a peak shaving purpose is proposed. Based on the low-frequency, high-amplitude and high-frequency, low-amplitude components in wind power fluctuations, the CH-CAES system employs compressors and electrical heater to handle these components, respectively. Moreover, the turbomachinery in CH-CAES possesses a dual power levels configuration. The off-design models of key components are established to explore the CH-CAES system behavior when it is integrated with fluctuating wind power. Meanwhile, the components capacity is determined by using the spectral analysis method. The simulation results show that the CH-CAES system with dual power levels turbomachinery configuration can smooth out the wind power fluctuation effectively.

Suggested Citation

  • Zhao, Pan & Wang, Peizi & Xu, Wenpan & Zhang, Shiqiang & Wang, Jiangfeng & Dai, Yiping, 2021. "The survey of the combined heat and compressed air energy storage (CH-CAES) system with dual power levels turbomachinery configuration for wind power peak shaving based spectral analysis," Energy, Elsevier, vol. 215(PB).
  • Handle: RePEc:eee:energy:v:215:y:2021:i:pb:s036054422032274x
    DOI: 10.1016/j.energy.2020.119167
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054422032274X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2020.119167?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. 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.
    2. Peng, Xiaodong & She, Xiaohui & Li, Chuan & Luo, Yimo & Zhang, Tongtong & Li, Yongliang & Ding, Yulong, 2019. "Liquid air energy storage flexibly coupled with LNG regasification for improving air liquefaction," Applied Energy, Elsevier, vol. 250(C), pages 1190-1201.
    3. Georgilakis, Pavlos S., 2008. "Technical challenges associated with the integration of wind power into power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(3), pages 852-863, April.
    4. 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.
    5. Zhao, Pan & Wang, Jiangfeng & Dai, Yiping, 2015. "Capacity allocation of a hybrid energy storage system for power system peak shaving at high wind power penetration level," Renewable Energy, Elsevier, vol. 75(C), pages 541-549.
    6. 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.
    7. Zhao, Pan & Wang, Mingkun & Wang, Jiangfeng & Dai, Yiping, 2015. "A preliminary dynamic behaviors analysis of a hybrid energy storage system based on adiabatic compressed air energy storage and flywheel energy storage system for wind power application," Energy, Elsevier, vol. 84(C), pages 825-839.
    8. Zhao, Pan & Dai, Yiping & Wang, Jiangfeng, 2014. "Design and thermodynamic analysis of a hybrid energy storage system based on A-CAES (adiabatic compressed air energy storage) and FESS (flywheel energy storage system) for wind power application," Energy, Elsevier, vol. 70(C), pages 674-684.
    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. Zhao, Pan & Gou, Feifei & Xu, Wenpan & Shi, Honghui & Wang, Jiangfeng, 2023. "Energy, exergy, economic and environmental (4E) analyses of an integrated system based on CH-CAES and electrical boiler for wind power penetration and CHP unit heat-power decoupling in wind enrichment," Energy, Elsevier, vol. 263(PC).
    2. Ma, Yan & Rao, QiuHua & Huang, Dianyi & Li, Peng & Yi, Wei & Sun, Dongliang, 2022. "A new theoretical model of thermo-gas-mechanical (TGM) coupling field for underground multi-layered cavern of compressed air energy storage," Energy, Elsevier, vol. 257(C).
    3. He, Yang & MengWang, & Chen, Haisheng & Xu, Yujie & Deng, Jianqiang, 2021. "Thermodynamic research on compressed air energy storage system with turbines under sliding pressure operation," Energy, Elsevier, vol. 222(C).
    4. Kruk-Gotzman, Sylwia & Ziółkowski, Paweł & Iliev, Iliya & Negreanu, Gabriel-Paul & Badur, Janusz, 2023. "Techno-economic evaluation of combined cycle gas turbine and a diabatic compressed air energy storage integration concept," Energy, Elsevier, vol. 266(C).
    5. Razmi, Amir Reza & Soltani, M. & Ardehali, Armin & Gharali, Kobra & Dusseault, M.B. & Nathwani, Jatin, 2021. "Design, thermodynamic, and wind assessments of a compressed air energy storage (CAES) integrated with two adjacent wind farms: A case study at Abhar and Kahak sites, Iran," Energy, Elsevier, vol. 221(C).
    6. Huan Guo & Haoyuan Kang & Yujie Xu & Mingzhi Zhao & Yilin Zhu & Hualiang Zhang & Haisheng Chen, 2023. "Review of Coupling Methods of Compressed Air Energy Storage Systems and Renewable Energy Resources," Energies, MDPI, vol. 16(12), pages 1-22, June.
    7. Huang, Jingjian & Xu, Yujie & Guo, Huan & Geng, Xiaoqian & Chen, Haisheng, 2022. "Dynamic performance and control scheme of variable-speed compressed air energy storage," Applied Energy, Elsevier, vol. 325(C).
    8. Rabanal, Arkaitz & Smith, Andrew Macmillan & Ahaotu, Chiagoro Chinonyerem & Tedeschi, Elisabetta, 2024. "Energy storage systems for services provision in offshore wind farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 200(C).
    9. Quan Xu & Xinyi Chen & Siyang Wang & Chao Guo & Yingchun Niu & Runguo Zuo & Ziji Yang & Yang Zhou & Chunming Xu, 2022. "The Recycling of Waste Per-Fluorinated Sulfonic Acid for Reformulation and Membrane Application in Iron-Chromium Redox Flow Batteries," Energies, MDPI, vol. 15(22), pages 1-10, November.
    10. Ye, Lin & Li, Yilin & Pei, Ming & Zhao, Yongning & Li, Zhuo & Lu, Peng, 2022. "A novel integrated method for short-term wind power forecasting based on fluctuation clustering and history matching," Applied Energy, Elsevier, vol. 327(C).
    11. Sun, X.Y. & Zhong, X.H. & Zhang, M.Y. & Zhou, T., 2022. "Experimental investigation on a novel wind-to-heat system with high efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    12. Chen, Longxiang & Zhang, Liugan & Yang, Huipeng & Xie, Meina & Ye, Kai, 2022. "Dynamic simulation of a Re-compressed adiabatic compressed air energy storage (RA-CAES) system," Energy, Elsevier, vol. 261(PB).
    13. Stanek, Wojciech, 2022. "Thermo-Ecological Cost (TEC) –comparison of energy-ecological efficiency of renewable and non-renewable energy technologies," Energy, Elsevier, vol. 261(PA).
    14. Muhammed Y. Worku, 2022. "Recent Advances in Energy Storage Systems for Renewable Source Grid Integration: A Comprehensive Review," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    15. Zhenxing Zhao & Kaijie Chen & Ying Chen & Yuxing Dai & Zeng Liu & Kuiyin Zhao & Huan Wang & Zishun Peng, 2021. "An Ultra-Fast Power Prediction Method Based on Simplified LSSVM Hyperparameters Optimization for PV Power Smoothing," Energies, MDPI, vol. 14(18), pages 1-15, September.

    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. Guo, Cong & Xu, Yujie & Zhang, Xinjing & Guo, Huan & Zhou, Xuezhi & Liu, Chang & Qin, Wei & Li, Wen & Dou, Binlin & Chen, Haisheng, 2017. "Performance analysis of compressed air energy storage systems considering dynamic characteristics of compressed air storage," Energy, Elsevier, vol. 135(C), pages 876-888.
    2. 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).
    3. Li, Peng & Hu, Qingya & Han, Zhonghe & Wang, Changxin & Wang, Runxia & Han, Xu & Wang, Yongzhen, 2022. "Thermodynamic analysis and multi-objective optimization of a trigenerative system based on compressed air energy storage under different working media and heating storage media," Energy, Elsevier, vol. 239(PD).
    4. Peng, Hao & Yang, Yu & Li, Rui & Ling, Xiang, 2016. "Thermodynamic analysis of an improved adiabatic compressed air energy storage system," Applied Energy, Elsevier, vol. 183(C), pages 1361-1373.
    5. 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).
    6. Jidai Wang & Kunpeng Lu & Lan Ma & Jihong Wang & Mark Dooner & Shihong Miao & Jian Li & Dan Wang, 2017. "Overview of Compressed Air Energy Storage and Technology Development," Energies, MDPI, vol. 10(7), pages 1-22, July.
    7. Zhang, Yi & Xu, Yujie & Guo, Huan & Zhang, Xinjing & Guo, Cong & Chen, Haisheng, 2018. "A hybrid energy storage system with optimized operating strategy for mitigating wind power fluctuations," Renewable Energy, Elsevier, vol. 125(C), pages 121-132.
    8. Sciacovelli, Adriano & Li, Yongliang & Chen, Haisheng & Wu, Yuting & Wang, Jihong & Garvey, Seamus & Ding, Yulong, 2017. "Dynamic simulation of Adiabatic Compressed Air Energy Storage (A-CAES) plant with integrated thermal storage – Link between components performance and plant performance," Applied Energy, Elsevier, vol. 185(P1), pages 16-28.
    9. 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).
    10. Kondoh, Junji & Funamoto, Takuji & Nakanishi, Taisuke & Arai, Ryohei, 2018. "Energy characteristics of a fixed-speed flywheel energy storage system with direct grid-connection," Energy, Elsevier, vol. 165(PB), pages 701-708.
    11. Liu, Jin-Long & Wang, Jian-Hua, 2015. "Thermodynamic analysis of a novel tri-generation system based on compressed air energy storage and pneumatic motor," Energy, Elsevier, vol. 91(C), pages 420-429.
    12. 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).
    13. Xu, Ying & Ren, Li & Zhang, Zhongping & Tang, Yuejin & Shi, Jing & Xu, Chen & Li, Jingdong & Pu, Dongsheng & Wang, Zhuang & Liu, Huajun & Chen, Lei, 2018. "Analysis of the loss and thermal characteristics of a SMES (Superconducting Magnetic Energy Storage) magnet with three practical operating conditions," Energy, Elsevier, vol. 143(C), pages 372-384.
    14. Dzido, Aleksandra & Krawczyk, Piotr & Wołowicz, Marcin & Badyda, Krzysztof, 2022. "Comparison of advanced air liquefaction systems in Liquid Air Energy Storage applications," Renewable Energy, Elsevier, vol. 184(C), pages 727-739.
    15. Hasan, Nor Shahida & Hassan, Mohammad Yusri & Abdullah, Hayati & Rahman, Hasimah Abdul & Omar, Wan Zaidi Wan & Rosmin, Norzanah, 2016. "Improving power grid performance using parallel connected Compressed Air Energy Storage and wind turbine system," Renewable Energy, Elsevier, vol. 96(PA), pages 498-508.
    16. Huang, Shucheng & Khajepour, Amir, 2022. "A new adiabatic compressed air energy storage system based on a novel compression strategy," Energy, Elsevier, vol. 242(C).
    17. He, Yang & Chen, Haisheng & Xu, Yujie & Deng, Jianqiang, 2018. "Compression performance optimization considering variable charge pressure in an adiabatic compressed air energy storage system," Energy, Elsevier, vol. 165(PB), pages 349-359.
    18. Abdul Ghani Olabi & Tabbi Wilberforce & Mohammad Ali Abdelkareem & Mohamad Ramadan, 2021. "Critical Review of Flywheel Energy Storage System," Energies, MDPI, vol. 14(8), pages 1-33, April.
    19. 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).
    20. Xiaosheng Peng & Kai Cheng & Jianxun Lang & Zuowei Zhang & Tao Cai & Shanxu Duan, 2021. "Short-Term Wind Power Prediction for Wind Farm Clusters Based on SFFS Feature Selection and BLSTM Deep Learning," Energies, MDPI, vol. 14(7), pages 1-18, March.

    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:215:y:2021:i:pb:s036054422032274x. 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.