IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v167y2022ics1364032122004580.html
   My bibliography  Save this article

Prospect of modeling industrial scale flow batteries – From experimental data to accurate overpotential identification

Author

Listed:
  • Kurilovich, Aleksandr A.
  • Trovò, Andrea
  • Pugach, Mikhail
  • Stevenson, Keith J.
  • Guarnieri, Massimo

Abstract

A vast literature exists on modelling of small-scale single-cell experiments for flow batteries, but very few reports have been published on large stacks, consisting of tens of cells, each with an active area of hundred square centimeters. In this report, a large set of measurements taken on a kW-class vanadium test facility is used to develop an accurate ad-hoc physical model. Experimental data consist of polarization curves at a broad range of states of charge and electrolyte flow rates, as well as electrochemical impedance spectra. The model is capable to decouple three sources of voltage losses: activation, ohmic, and concentration overpotentials. In addition, a new numerical approach for identifying the main parameters of electrochemical kinetics and mass-transport has been proposed. To the best of our knowledge, this is the first time when a model for voltage losses analyses was developed and fitted to a data from large-scale flow battery, being validated with a sensitivity analysis study. Investigations showed that activation losses have a sophisticated nature in combination with mass-transport limitations and play an important role in a wide range of loading current densities. As a result, they must be included in a reliable model able to reflect a non-linear voltage behavior of large stacks. This work also highlights that, in the investigated case, activation losses are likely to be attributed to the positive electrode rather than to the negative one. The obtained results could facilitate the development of advanced simulation and design of large-scale flow battery stacks.

Suggested Citation

  • Kurilovich, Aleksandr A. & Trovò, Andrea & Pugach, Mikhail & Stevenson, Keith J. & Guarnieri, Massimo, 2022. "Prospect of modeling industrial scale flow batteries – From experimental data to accurate overpotential identification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    • Handle: RePEc:eee:rensus:v:167:y:2022:i:c:s1364032122004580
    DOI: 10.1016/j.rser.2022.112559
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032122004580
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2022.112559?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. Yin, Cong & Guo, Shaoyun & Fang, Honglin & Liu, Jiayi & Li, Yang & Tang, Hao, 2015. "Numerical and experimental studies of stack shunt current for vanadium redox flow battery," Applied Energy, Elsevier, vol. 151(C), pages 237-248.
    2. Zhou, X.L. & Zhao, T.S. & An, L. & Zeng, Y.K. & Yan, X.H., 2015. "A vanadium redox flow battery model incorporating the effect of ion concentrations on ion mobility," Applied Energy, Elsevier, vol. 158(C), pages 157-166.
    3. Bullich-Massagué, Eduard & Cifuentes-García, Francisco-Javier & Glenny-Crende, Ignacio & Cheah-Mañé, Marc & Aragüés-Peñalba, Mònica & Díaz-González, Francisco & Gomis-Bellmunt, Oriol, 2020. "A review of energy storage technologies for large scale photovoltaic power plants," Applied Energy, Elsevier, vol. 274(C).
    4. Trovò, Andrea & Alotto, Piergiorgio & Giomo, Monica & Moro, Federico & Guarnieri, Massimo, 2021. "A validated dynamical model of a kW-class Vanadium Redox Flow Battery," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 183(C), pages 66-77.
    5. Al-Ghussain, Loiy & Abubaker, Ahmad M. & Darwish Ahmad, Adnan, 2021. "Superposition of Renewable-Energy Supply from Multiple Sites Maximizes Demand-Matching: Towards 100% Renewable Grids in 2050," Applied Energy, Elsevier, vol. 284(C).
    6. Xu, Q. & Zhao, T.S. & Zhang, C., 2014. "Effects of SOC-dependent electrolyte viscosity on performance of vanadium redox flow batteries," Applied Energy, Elsevier, vol. 130(C), pages 139-147.
    7. Pugach, M. & Kondratenko, M. & Briola, S. & Bischi, A., 2018. "Zero dimensional dynamic model of vanadium redox flow battery cell incorporating all modes of vanadium ions crossover," Applied Energy, Elsevier, vol. 226(C), pages 560-569.
    8. Pugach, M. & Vyshinsky, V. & Bischi, A., 2019. "Energy efficiency analysis for a kilo-watt class vanadium redox flow battery system," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    9. Sun, J. & Jiang, H.R. & Zhang, B.W. & Chao, C.Y.H. & Zhao, T.S., 2020. "Towards uniform distributions of reactants via the aligned electrode design for vanadium redox flow batteries," Applied Energy, Elsevier, vol. 259(C).
    10. Spodniak, Petr & Ollikka, Kimmo & Honkapuro, Samuli, 2021. "The impact of wind power and electricity demand on the relevance of different short-term electricity markets: The Nordic case," Applied Energy, Elsevier, vol. 283(C).
    11. Wei, L. & Zhao, T.S. & Xu, Q. & Zhou, X.L. & Zhang, Z.H., 2017. "In-situ investigation of hydrogen evolution behavior in vanadium redox flow batteries," Applied Energy, Elsevier, vol. 190(C), pages 1112-1118.
    12. Cheng, Ziqiang & Tenny, Kevin M. & Pizzolato, Alberto & Forner-Cuenca, Antoni & Verda, Vittorio & Chiang, Yet-Ming & Brushett, Fikile R. & Behrou, Reza, 2020. "Data-driven electrode parameter identification for vanadium redox flow batteries through experimental and numerical methods," Applied Energy, Elsevier, vol. 279(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. Ikechukwu S. Anyanwu & Fulvio Buzzi & Pekka Peljo & Aldo Bischi & Antonio Bertei, 2024. "System-Level Dynamic Model of Redox Flow Batteries (RFBs) for Energy Losses Analysis," Energies, MDPI, vol. 17(21), pages 1-21, October.
    2. Chen, Hui & Li, Xiangrong & Gao, Hai & Liu, Jianguo & Yan, Chuanwei & Tang, Ao, 2019. "Numerical modelling and in-depth analysis of multi-stack vanadium flow battery module incorporating transport delay," Applied Energy, Elsevier, vol. 247(C), pages 13-23.
    3. Guarnieri, Massimo & Trovò, Andrea & Picano, Francesco, 2020. "Enhancing the efficiency of kW-class vanadium redox flow batteries by flow factor modulation: An experimental method," Applied Energy, Elsevier, vol. 262(C).
    4. Chou, Yi-Sin & Hsu, Ning-Yih & Jeng, King-Tsai & Chen, Kuan-Hsiang & Yen, Shi-Chern, 2016. "A novel ultrasonic velocity sensing approach to monitoring state of charge of vanadium redox flow battery," Applied Energy, Elsevier, vol. 182(C), pages 253-259.
    5. Toja, F. & Perlini, L. & Facchi, D. & Casalegno, A. & Zago, M., 2024. "Dramatic mitigation of capacity decay and volume variation in vanadium redox flow batteries through modified preparation of electrolytes," Applied Energy, Elsevier, vol. 354(PB).
    6. Wang, Shaoliang & Xu, Zeyu & Wu, Xiaoliang & Zhao, Huan & Zhao, Jinling & Liu, Jianguo & Yan, Chuanwei & Fan, Xinzhuang, 2020. "Analyses and optimization of electrolyte concentration on the electrochemical performance of iron-chromium flow battery," Applied Energy, Elsevier, vol. 271(C).
    7. Zhang, Yunong & Liu, Le & Xi, Jingyu & Wu, Zenghua & Qiu, Xinping, 2017. "The benefits and limitations of electrolyte mixing in vanadium flow batteries," Applied Energy, Elsevier, vol. 204(C), pages 373-381.
    8. Wan, Shuaibin & Liang, Xiongwei & Jiang, Haoran & Sun, Jing & Djilali, Ned & Zhao, Tianshou, 2021. "A coupled machine learning and genetic algorithm approach to the design of porous electrodes for redox flow batteries," Applied Energy, Elsevier, vol. 298(C).
    9. Souentie, Stamatios & Amr, Issam & Alsuhaibani, Abdulrahman & Almazroei, Essa & Hammad, Ahmad D., 2017. "Temperature, charging current and state of charge effects on iron-vanadium flow batteries operation," Applied Energy, Elsevier, vol. 206(C), pages 568-576.
    10. Lei, Y. & Zhang, B.W. & Zhang, Z.H. & Bai, B.F. & Zhao, T.S., 2018. "An improved model of ion selective adsorption in membrane and its application in vanadium redox flow batteries," Applied Energy, Elsevier, vol. 215(C), pages 591-601.
    11. Cheng, Ziqiang & Tenny, Kevin M. & Pizzolato, Alberto & Forner-Cuenca, Antoni & Verda, Vittorio & Chiang, Yet-Ming & Brushett, Fikile R. & Behrou, Reza, 2020. "Data-driven electrode parameter identification for vanadium redox flow batteries through experimental and numerical methods," Applied Energy, Elsevier, vol. 279(C).
    12. Nawaz Edoo & Robert T. F. Ah King, 2021. "Techno-Economic Analysis of Utility-Scale Solar Photovoltaic Plus Battery Power Plant," Energies, MDPI, vol. 14(23), pages 1-22, December.
    13. Ramon Yoshiura & Alexander Duenas & Aaron Epiney, 2022. "Dynamical System Scaling of a Thermocline Thermal Storage System in the Thermal Energy Distribution System (TEDS) Facility," Energies, MDPI, vol. 15(12), pages 1-27, June.
    14. Yuan, Chenguang & Xing, Feng & Zheng, Qiong & Zhang, Huamin & Li, Xianfeng & Ma, Xiangkun, 2020. "Factor analysis of the uniformity of the transfer current density in vanadium flow battery by an improved three-dimensional transient model," Energy, Elsevier, vol. 194(C).
    15. Qiu, Rui & Zhang, Haoran & Wang, Guotao & Liang, Yongtu & Yan, Jinyue, 2023. "Green hydrogen-based energy storage service via power-to-gas technologies integrated with multi-energy microgrid," Applied Energy, Elsevier, vol. 350(C).
    16. Angel L. Cedeño & Reinier López Ahuar & José Rojas & Gonzalo Carvajal & César Silva & Juan C. Agüero, 2022. "Model Predictive Control for Photovoltaic Plants with Non-Ideal Energy Storage Using Mixed Integer Linear Programming," Energies, MDPI, vol. 15(17), pages 1-21, September.
    17. Shen, Boyang & Chen, Yu & Li, Chuanyue & Wang, Sheng & Chen, Xiaoyuan, 2021. "Superconducting fault current limiter (SFCL): Experiment and the simulation from finite-element method (FEM) to power/energy system software," Energy, Elsevier, vol. 234(C).
    18. Thomas Kuppelwieser & David Wozabal, 2023. "Intraday power trading: toward an arms race in weather forecasting?," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(1), pages 57-83, March.
    19. He, Qijiao & Li, Zheng & Zhao, Dongqi & Yu, Jie & Tan, Peng & Guo, Meiting & Liao, Tianjun & Zhao, Tianshou & Ni, Meng, 2023. "A 3D modelling study on all vanadium redox flow battery at various operating temperatures," Energy, Elsevier, vol. 282(C).
    20. Savolainen, Rebecka & Lahdelma, Risto, 2022. "Optimization of renewable energy for buildings with energy storages and 15-minute power balance," Energy, Elsevier, vol. 243(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:rensus:v:167:y:2022:i:c:s1364032122004580. 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.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.