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Performance of Commercially Available Supercapacitors

Author

Listed:
  • Mazen Yassine

    (Mechanical Engineering Department, Santa Clara University, Santa Clara, CA 95053, USA)

  • Drazen Fabris

    (Mechanical Engineering Department, Santa Clara University, Santa Clara, CA 95053, USA)

Abstract

High energy density storage device exhibiting a reliable lifecycle is needed in the 21st century. Hence, energy storage research is critical for reducing energy consumption. Supercapacitors exhibit such characteristics via interfacial ion electrosorption and fast redox reactions. They are a feasible solution for transportation applications, among others, due to their superb characteristics. In this paper, we provide a background on supercapacitors, review public data on commercially available supercapacitors for performance characteristics, and finally summarize their performance in terms of energy density, equivalent series resistance, and device time consistency.

Suggested Citation

  • Mazen Yassine & Drazen Fabris, 2017. "Performance of Commercially Available Supercapacitors," Energies, MDPI, vol. 10(9), pages 1-12, September.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:9:p:1340-:d:110939
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    Citations

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    Cited by:

    1. Song Xu & Zhenlin Wang & Jingfei Chen & Wei Jiang, 2022. "Research and Design of LC Series Resonant Wireless Power Transfer System with Modulation Control Method for Supercapacitor Charging in Linear Motion Systems," Energies, MDPI, vol. 15(18), pages 1-19, September.
    2. Adam Moyseowicz & Agata Moyseowicz, 2021. "One-Pot Synthesis of Bismuth Sulfide Nanostructures as an Active Electrode Material for Aqueous Hybrid Capacitors," Energies, MDPI, vol. 14(9), pages 1-13, May.
    3. Caizán-Juanarena, Leire & Sleutels, Tom & Borsje, Casper & ter Heijne, Annemiek, 2020. "Considerations for application of granular activated carbon as capacitive bioanode in bioelectrochemical systems," Renewable Energy, Elsevier, vol. 157(C), pages 782-792.
    4. Ivan Radaš & Ivan Župan & Viktor Šunde & Željko Ban, 2021. "Route Profile Dependent Tram Regenerative Braking Algorithm with Reduced Impact on the Supply Network," Energies, MDPI, vol. 14(9), pages 1-22, April.

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