IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v216y2023ics096014812300976x.html
   My bibliography  Save this article

Adaptive multistep model predictive control for tubular grid-connected solid oxide fuel cells

Author

Listed:
  • Yin, Linfei
  • Liu, Dongduan

Abstract

In the research of renewable energy power generation, tubular grid-connected solid oxide fuel cells with the apparent advantage in voltage regulation have been widely applied in power systems. Recently, a model predictive control has been applied to consider the nonlinear constraints of tubular grid-connected solid oxide fuel cells, which cannot be considered by a proportional-integral-derivative controller. Both model predictive control and proportional-integral-derivative controller achieve only 80% fuel efficiency. An adaptive multistep model predictive control (AMMPC) is proposed to improve the fuel efficiency of tubular grid-connected solid oxide fuel cells and simultaneously consider systemic thermodynamics and electrochemistry constraints. The AMMPC contains the advantages of adaptive control and multistep model predictive control. Both adaptive two-step model predictive control and three-step model predictive control are designed for tubular grid-connected solid oxide fuel cells. With the more accurate prediction ability, the AMMPC improves the fuel efficiency of tubular grid-connected solid oxide fuel cells with higher fuel efficiency (86.5%) than model predictive control (80%) and proportional-integral-derivative (80%). Both feasibility and effectiveness of the AMMPC are verified with high fuel efficiency under simple and complex power demands cases.

Suggested Citation

  • Yin, Linfei & Liu, Dongduan, 2023. "Adaptive multistep model predictive control for tubular grid-connected solid oxide fuel cells," Renewable Energy, Elsevier, vol. 216(C).
    • Handle: RePEc:eee:renene:v:216:y:2023:i:c:s096014812300976x
    DOI: 10.1016/j.renene.2023.119062
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014812300976X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2023.119062?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. Radenahmad, Nikdalila & Azad, Atia Tasfiah & Saghir, Muhammad & Taweekun, Juntakan & Bakar, Muhammad Saifullah Abu & Reza, Md Sumon & Azad, Abul Kalam, 2020. "A review on biomass derived syngas for SOFC based combined heat and power application," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    2. Siwei Han & Li Sun & Jiong Shen & Lei Pan & Kwang Y. Lee, 2018. "Optimal Load-Tracking Operation of Grid-Connected Solid Oxide Fuel Cells through Set Point Scheduling and Combined L1-MPC Control," Energies, MDPI, vol. 11(4), pages 1-23, March.
    3. Büyük, Mehmet & İnci, Mustafa, 2023. "Improved drift-free P&O MPPT method to enhance energy harvesting capability for dynamic operating conditions of fuel cells," Energy, Elsevier, vol. 267(C).
    4. Zeng, Zezhi & Qian, Yuping & Zhang, Yangjun & Hao, Changkun & Dan, Dan & Zhuge, Weilin, 2020. "A review of heat transfer and thermal management methods for temperature gradient reduction in solid oxide fuel cell (SOFC) stacks," Applied Energy, Elsevier, vol. 280(C).
    5. Nelson, James R. & Johnson, Nathan G., 2020. "Model predictive control of microgrids for real-time ancillary service market participation," Applied Energy, Elsevier, vol. 269(C).
    6. Emadi, Mohammad Ali & Chitgar, Nazanin & Oyewunmi, Oyeniyi A. & Markides, Christos N., 2020. "Working-fluid selection and thermoeconomic optimisation of a combined cycle cogeneration dual-loop organic Rankine cycle (ORC) system for solid oxide fuel cell (SOFC) waste-heat recovery," Applied Energy, Elsevier, vol. 261(C).
    7. Kim, Young Sang & Lee, Young Duk & Ahn, Kook Young, 2020. "System integration and proof-of-concept test results of SOFC–engine hybrid power generation system," Applied Energy, Elsevier, vol. 277(C).
    8. Qin, Yudi & Du, Jiuyu & Lu, Languang & Gao, Ming & Haase, Frank & Li, Jianqiu & Ouyang, Minggao, 2020. "A rapid lithium-ion battery heating method based on bidirectional pulsed current: Heating effect and impact on battery life," Applied Energy, Elsevier, vol. 280(C).
    9. Wang, Xusheng & Lv, Xiaojing & Mi, Xicong & Spataru, Catalina & Weng, Yiwu, 2022. "Coordinated control approach for load following operation of SOFC-GT hybrid system," Energy, Elsevier, vol. 248(C).
    10. Yin, Linfei & Qiu, Yao, 2022. "Neural network dynamic differential control for long-term price guidance mechanism of flexible energy service providers," Energy, Elsevier, vol. 255(C).
    11. Wu, Xiao-long & Xu, Yuan-wu & Zhao, Dong-qi & Zhong, Xiao-bo & Li, Dong & Jiang, Jianhua & Deng, Zhonghua & Fu, Xiaowei & Li, Xi, 2020. "Extended-range electric vehicle-oriented thermoelectric surge control of a solid oxide fuel cell system," Applied Energy, Elsevier, vol. 263(C).
    12. Collins, Jeffrey M. & McLarty, Dustin, 2020. "All-electric commercial aviation with solid oxide fuel cell-gas turbine-battery hybrids," Applied Energy, Elsevier, vol. 265(C).
    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. Ma, Shuai & Lin, Meng & Lin, Tzu-En & Lan, Tian & Liao, Xun & Maréchal, François & Van herle, Jan & Yang, Yongping & Dong, Changqing & Wang, Ligang, 2021. "Fuel cell-battery hybrid systems for mobility and off-grid applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    2. Chen, Jinwei & Hu, Zhenchao & Lu, Jinzhi & Zhang, Huisheng & Weng, Shilie, 2022. "A novel control strategy with an anode variable geometry ejector for a SOFC-GT hybrid system," Energy, Elsevier, vol. 261(PA).
    3. Promsen, Mungmuang & Komatsu, Yosuke & Sciazko, Anna & Kaneko, Shozo & Shikazono, Naoki, 2023. "Power maximization and load range extension of solid oxide fuel cell operation by water cooling," Energy, Elsevier, vol. 276(C).
    4. Mingfei Li & Jingjing Wang & Zhengpeng Chen & Xiuyang Qian & Chuanqi Sun & Di Gan & Kai Xiong & Mumin Rao & Chuangting Chen & Xi Li, 2024. "A Comprehensive Review of Thermal Management in Solid Oxide Fuel Cells: Focus on Burners, Heat Exchangers, and Strategies," Energies, MDPI, vol. 17(5), pages 1-30, February.
    5. Liang, Bo & Yao, Yue & Guo, Jin & Yang, Huazheng & Liang, Jiajiang & Zhao, Zhijiang & Wu, Gang & Zhan, Yuedong & Zhao, Xiaobo & Tao, Tao & Yao, Yingbang & Lu, Shengguo & Ruirui, Zhao, 2022. "Propane-fuelled microtubular solid oxide fuel cell stack electrically connected by an anodic rectangular window," Applied Energy, Elsevier, vol. 309(C).
    6. Montazerinejad, H. & Eicker, U., 2022. "Recent development of heat and power generation using renewable fuels: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    7. Ouyang, Tiancheng & Zhao, Zhongkai & Zhang, Mingliang & Xie, Shutao & Wang, Zhiping, 2022. "A micro off-grid power solution for solid oxide fuel cell waste heat reusing enabled peak load shifting by integrating compressed-air energy storage," Applied Energy, Elsevier, vol. 323(C).
    8. Dai, Huidong & Besser, R.S., 2022. "Understanding hydrogen sulfide impact on a portable, commercial, propane-powered solid-oxide fuel cell," Applied Energy, Elsevier, vol. 307(C).
    9. Chehrmonavari, Hamed & Kakaee, Amirhasan & Hosseini, Seyed Ehsan & Desideri, Umberto & Tsatsaronis, George & Floerchinger, Gus & Braun, Robert & Paykani, Amin, 2023. "Hybridizing solid oxide fuel cells with internal combustion engines for power and propulsion systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    10. Cheng, Gong & Wang, Zhangzhou & Wang, Xinzhi & He, Yurong, 2022. "All-climate thermal management structure for batteries based on expanded graphite/polymer composite phase change material with a high thermal and electrical conductivity," Applied Energy, Elsevier, vol. 322(C).
    11. Dehghan, Ali Reza & Fanaei, Mohammad Ali & Panahi, Mehdi, 2022. "Economic plantwide control of a hybrid solid oxide fuel cell - gas turbine system," Applied Energy, Elsevier, vol. 328(C).
    12. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Xing, Chengda & Zhang, Wujie & Wang, Yan & Yao, Baofeng, 2023. "Dynamic response assessment and multi-objective optimization of organic Rankine cycle (ORC) under vehicle driving cycle conditions," Energy, Elsevier, vol. 263(PA).
    13. Obara, Shin'ya, 2023. "Economic performance of an SOFC combined system with green hydrogen methanation of stored CO2," Energy, Elsevier, vol. 262(PA).
    14. Li, Jiaojiao & Zoghi, Mohammad & Zhao, Linfeng, 2022. "Thermo-economic assessment and optimization of a geothermal-driven tri-generation system for power, cooling, and hydrogen production," Energy, Elsevier, vol. 244(PB).
    15. Shi, Yao & Zhang, Zhiming & Chen, Xiaoqiang & Xie, Lei & Liu, Xueqin & Su, Hongye, 2023. "Data-Driven model identification and efficient MPC via quasi-linear parameter varying representation for ORC waste heat recovery system," Energy, Elsevier, vol. 271(C).
    16. Ebrahimi-Moghadam, Amir & Farzaneh-Gord, Mahmood, 2022. "Optimal operation of a multi-generation district energy hub based on electrical, heating, and cooling demands and hydrogen production," Applied Energy, Elsevier, vol. 309(C).
    17. Fan Li & Dong Liu & Ke Sun & Songheng Yang & Fangzheng Peng & Kexin Zhang & Guodong Guo & Yuan Si, 2024. "Towards a Future Hydrogen Supply Chain: A Review of Technologies and Challenges," Sustainability, MDPI, vol. 16(5), pages 1-36, February.
    18. La Fata, Alice & Brignone, Massimo & Procopio, Renato & Bracco, Stefano & Delfino, Federico & Barbero, Giulia & Barilli, Riccardo, 2024. "An energy management system to schedule the optimal participation to electricity markets and a statistical analysis of the bidding strategies over long time horizons," Renewable Energy, Elsevier, vol. 228(C).
    19. Xiaoyu Liu & Chong Zhao & Hao Guo & Zhongcheng Wang, 2022. "Performance Analysis of Ship Exhaust Gas Temperature Differential Power Generation," Energies, MDPI, vol. 15(11), pages 1-17, May.
    20. Ping, Xu & Yao, Baofeng & Zhang, Hongguang & Yang, Fubin, 2021. "Thermodynamic analysis and high-dimensional evolutionary many-objective optimization of dual loop organic Rankine cycle (DORC) for CNG engine waste heat recovery," Energy, Elsevier, vol. 236(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:renene:v:216:y:2023:i:c:s096014812300976x. 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.