IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v293y2024ics0360544224004353.html
   My bibliography  Save this article

Performance study of 660 MW coal-fired power plant coupled transcritical carbon dioxide energy storage cycle: Sensitivity and dynamic characteristic analysis

Author

Listed:
  • Wang, Di
  • Zhou, Yu
  • Si, Long
  • Sun, Lingfang
  • Zhou, Yunlong

Abstract

As the demand of modern society for electrical energy continues to rise, the combustion of fossil fuels has led to deterioration of global climate due to the emission of greenhouse gases. The introduction of zero-carbon goal has spurred rapid development of renewable energy. However, the intermittent nature of it has revealed the growing issue of insufficient capacity in existing power systems. To tackle this challenge and enhance the adaptability of power systems, improving the flexibility of coal-fired power plants has become a critical objective.

Suggested Citation

  • Wang, Di & Zhou, Yu & Si, Long & Sun, Lingfang & Zhou, Yunlong, 2024. "Performance study of 660 MW coal-fired power plant coupled transcritical carbon dioxide energy storage cycle: Sensitivity and dynamic characteristic analysis," Energy, Elsevier, vol. 293(C).
  • Handle: RePEc:eee:energy:v:293:y:2024:i:c:s0360544224004353
    DOI: 10.1016/j.energy.2024.130663
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224004353
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2024.130663?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. Li, Jiajia & Li, Xingshuo & Yan, Peigang & Zhou, Guowen & Liu, Jinfu & Yu, Daren, 2023. "Thermodynamics, flexibility and techno-economics assessment of a novel integration of coal-fired combined heating and power generation unit and compressed air energy storage," Applied Energy, Elsevier, vol. 339(C).
    2. Li, Xiaolei & Xu, Ershu & Song, Shuang & Wang, Xiangyan & Yuan, Guofeng, 2017. "Dynamic simulation of two-tank indirect thermal energy storage system with molten salt," Renewable Energy, Elsevier, vol. 113(C), pages 1311-1319.
    3. Wang, Di & Liu, Deying & Wang, Chaonan & Zhou, Yunlong & Li, Xiaoli & Yang, Mei, 2022. "Flexibility improvement method of coal-fired thermal power plant based on the multi-scale utilization of steam turbine energy storage," Energy, Elsevier, vol. 239(PD).
    4. Li, Xiaoya & Shu, Gequn & Tian, Hua & Shi, Lingfeng & Huang, Guangdai & Chen, Tianyu & Liu, Peng, 2017. "Preliminary tests on dynamic characteristics of a CO2 transcritical power cycle using an expansion valve in engine waste heat recovery," Energy, Elsevier, vol. 140(P1), pages 696-707.
    5. Huang, Rui & Zhou, Kang & Liu, Zhan, 2022. "Reduction on the inefficiency of heat recovery storage in a compressed carbon dioxide energy storage system," Energy, Elsevier, vol. 244(PB).
    6. Dzido, Aleksandra & Wołowicz, Marcin & Krawczyk, Piotr, 2022. "Transcritical carbon dioxide cycle as a way to improve the efficiency of a Liquid Air Energy Storage system," Renewable Energy, Elsevier, vol. 196(C), pages 1385-1391.
    7. Zhao, Yongliang & Wang, Chaoyang & Liu, Ming & Chong, Daotong & Yan, Junjie, 2018. "Improving operational flexibility by regulating extraction steam of high-pressure heaters on a 660 MW supercritical coal-fired power plant: A dynamic simulation," Applied Energy, Elsevier, vol. 212(C), pages 1295-1309.
    8. Deng, Tianrui & Li, Xionghui & Wang, Qiuwang & Ma, Ting, 2019. "Dynamic modelling and transient characteristics of supercritical CO2 recompression Brayton cycle," Energy, Elsevier, vol. 180(C), pages 292-302.
    9. Han, Zhonghe & Xiang, Peng, 2020. "Modeling condensate throttling to improve the load change performance of cogeneration units," Energy, Elsevier, vol. 192(C).
    10. Budt, Marcus & Wolf, Daniel & Span, Roland & Yan, Jinyue, 2016. "A review on compressed air energy storage: Basic principles, past milestones and recent developments," Applied Energy, Elsevier, vol. 170(C), pages 250-268.
    11. Fan, He & Zhang, Yu-fei & Su, Zhi-gang & Wang, Ben, 2017. "A dynamic mathematical model of an ultra-supercritical coal fired once-through boiler-turbine unit," Applied Energy, Elsevier, vol. 189(C), pages 654-666.
    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. Wang, Di & Zhou, Yunlong & Li, Xiaoli, 2018. "A dynamic model used for controller design for fast cut back of coal-fired boiler-turbine plant," Energy, Elsevier, vol. 144(C), pages 526-534.
    14. Zhang, Kezhen & Zhao, Yongliang & Liu, Ming & Gao, Lin & Fu, Yue & Yan, Junjie, 2021. "Flexibility enhancement versus thermal efficiency of coal-fired power units during the condensate throttling processes," Energy, Elsevier, vol. 218(C).
    15. Singh, Rajinesh & Miller, Sarah A. & Rowlands, Andrew S. & Jacobs, Peter A., 2013. "Dynamic characteristics of a direct-heated supercritical carbon-dioxide Brayton cycle in a solar thermal power plant," Energy, Elsevier, vol. 50(C), pages 194-204.
    16. Liu, Ji-Zhen & Yan, Shu & Zeng, De-Liang & Hu, Yong & Lv, You, 2015. "A dynamic model used for controller design of a coal fired once-through boiler-turbine unit," Energy, Elsevier, vol. 93(P2), pages 2069-2078.
    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. Liu, Zefeng & Wang, Chaoyang & Fan, Jianlin & Liu, Ming & Xing, Yong & Yan, Junjie, 2024. "Enhancing the flexibility and stability of coal-fired power plants by optimizing control schemes of throttling high-pressure extraction steam," Energy, Elsevier, vol. 288(C).
    2. Hou, Guolian & Huang, Ting & Huang, Congzhi, 2023. "Flexibility improvement of 1000 MW ultra-supercritical unit under full operating conditions by error-based ADRC and fast pigeon-inspired optimizer," Energy, Elsevier, vol. 270(C).
    3. Huang, Congzhi & Sheng, Xinxin, 2020. "Data-driven model identification of boiler-turbine coupled process in 1000 MW ultra-supercritical unit by improved bird swarm algorithm," Energy, Elsevier, vol. 205(C).
    4. Zhang, Kezhen & Zhao, Yongliang & Liu, Ming & Gao, Lin & Fu, Yue & Yan, Junjie, 2021. "Flexibility enhancement versus thermal efficiency of coal-fired power units during the condensate throttling processes," Energy, Elsevier, vol. 218(C).
    5. Zhang, Qijun & Dong, Jianning & Chen, Heng & Feng, Fuyuan & Xu, Gang & Wang, Xiuyan & Liu, Tong, 2024. "Dynamic characteristics and economic analysis of a coal-fired power plant integrated with molten salt thermal energy storage for improving peaking capacity," Energy, Elsevier, vol. 290(C).
    6. Ioannis Avagianos & Dimitrios Rakopoulos & Sotirios Karellas & Emmanouil Kakaras, 2020. "Review of Process Modeling of Solid-Fuel Thermal Power Plants for Flexible and Off-Design Operation," Energies, MDPI, vol. 13(24), pages 1-41, December.
    7. Wang, Di & Liu, Deying & Wang, Chaonan & Zhou, Yunlong & Li, Xiaoli & Yang, Mei, 2022. "Flexibility improvement method of coal-fired thermal power plant based on the multi-scale utilization of steam turbine energy storage," Energy, Elsevier, vol. 239(PD).
    8. Cao, Lihua & Li, Xiaoli & Wang, Di, 2022. "A thermodynamic system of coal-fired power unit coupled S–CO2 energy-storage cycle," Energy, Elsevier, vol. 259(C).
    9. Wang, Yanhong & Cao, Lihua & Hu, Pengfei & Li, Bo & Li, Yong, 2019. "Model establishment and performance evaluation of a modified regenerative system for a 660 MW supercritical unit running at the IPT-setting mode," Energy, Elsevier, vol. 179(C), pages 890-915.
    10. Zhu, Hengyi & Tan, Peng & He, Ziqian & Zhang, Cheng & Fang, Qingyan & Chen, Gang, 2022. "Nonlinear model predictive control of USC boiler-turbine power units in flexible operations via input convex neural network," Energy, Elsevier, vol. 255(C).
    11. Liu, Kairui & Wang, Chao & Wang, Limin & Liu, Bin & Ye, Maojing & Guo, Yalong & Che, Defu, 2023. "Dynamic performance analysis and control strategy optimization for supercritical coal-fired boiler: A dynamic simulation," Energy, Elsevier, vol. 282(C).
    12. Fu, Xintao & Zhang, Yilun & Liu, Xu & Liu, Zhan, 2024. "Stable power supply system consisting of solar, wind and liquid carbon dioxide energy storage," Renewable Energy, Elsevier, vol. 221(C).
    13. Zhao, Yongliang & Song, Jian & Liu, Ming & Zhao, Yao & Olympios, Andreas V. & Sapin, Paul & Yan, Junjie & Markides, Christos N., 2022. "Thermo-economic assessments of pumped-thermal electricity storage systems employing sensible heat storage materials," Renewable Energy, Elsevier, vol. 186(C), pages 431-456.
    14. Fu, Xintao & Yan, Xuewen & Liu, Zhan, 2023. "Coupling thermodynamics and economics of liquid CO2 energy storage system with refrigerant additives," Energy, Elsevier, vol. 284(C).
    15. Zhang, Hongfu & Gao, Mingming & Fan, Haohao & Zhang, Kaiping & Zhang, Jiahui, 2022. "A dynamic model for supercritical once-through circulating fluidized bed boiler-turbine units," Energy, Elsevier, vol. 241(C).
    16. Chen, Wei & Qin, Haoxuan & Zhu, Qing & Bai, Jianshu & Xie, Ningning & Wang, Yazhou & Zhang, Tong & Xue, Xiaodai, 2024. "Optimal design and performance assessment of a proposed constant power operation mode for the constant volume discharging process of advanced adiabatic compressed air energy storage," Renewable Energy, Elsevier, vol. 221(C).
    17. Yan, Hui & Liu, Ming & Wang, Zhu & Zhang, Kezhen & Chong, Daotong & Yan, Junjie, 2023. "Flexibility enhancement of solar-aided coal-fired power plant under different direct normal irradiance conditions," Energy, Elsevier, vol. 262(PA).
    18. Sarmast, Sepideh & Rouindej, Kamyar & Fraser, Roydon A. & Dusseault, Maurice B., 2024. "Optimizing near-adiabatic compressed air energy storage (NA-CAES) systems: Sizing and design considerations," Applied Energy, Elsevier, vol. 357(C).
    19. Chen, Wei & Bai, Jianshu & Wang, Guohua & Xie, Ningning & Ma, Linrui & Wang, Yazhou & Zhang, Tong & Xue, Xiaodai, 2023. "First and second law analysis and operational mode optimization of the compression process for an advanced adiabatic compressed air energy storage based on the established comprehensive dynamic model," Energy, Elsevier, vol. 263(PC).
    20. Al-Momani, Ahmad & Mohamed, Omar & Abu Elhaija, Wejdan, 2022. "Multiple processes modeling and identification for a cleaner supercritical power plant via Grey Wolf Optimizer," Energy, Elsevier, vol. 252(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:293:y:2024:i:c:s0360544224004353. 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.