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Asymmetric supercapacitor based on activated expanded graphite and pinecone tree activated carbon with excellent stability

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  • Barzegar, Farshad
  • Bello, Abdulhakeem
  • Dangbegnon, Julien K.
  • Manyala, Ncholu
  • Xia, Xiaohua

Abstract

This work presents results obtained from the production of low-cost carbons from expanded graphite (EG) and pinecone (PC) biomass, activated in potassium hydroxide (KOH) and finally carbonized in argon and hydrogen atmosphere. A specific surface area of 808m2g−1 and 457m2g−1 were measured for activated pinecone carbon (APC) and activated expanded graphite (AEG), respectively. The electrochemical characterization of the novel materials in a 2-electrode configuration as supercapacitor electrode shows a specific capacitance of 69Fg−1 at 0.5Ag−1, high energy density of 24.6Whkg−1 at a power density of 400Wkg−1. This asymmetric supercapacitor also exhibits outstanding stability after voltage holding at the maximum voltage for 110h, suggesting that the asymmetric device based on different carbon materials has a huge capacity for a high-performance electrode in electrochemical applications.

Suggested Citation

  • Barzegar, Farshad & Bello, Abdulhakeem & Dangbegnon, Julien K. & Manyala, Ncholu & Xia, Xiaohua, 2017. "Asymmetric supercapacitor based on activated expanded graphite and pinecone tree activated carbon with excellent stability," Applied Energy, Elsevier, vol. 207(C), pages 417-426.
    • Handle: RePEc:eee:appene:v:207:y:2017:i:c:p:417-426
    DOI: 10.1016/j.apenergy.2017.05.110
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    References listed on IDEAS

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    1. Maziarka, Przemyslaw & Sommersacher, Peter & Wang, Xia & Kienzl, Norbert & Retschitzegger, Stefan & Prins, Wolter & Hedin, Niklas & Ronsse, Frederik, 2021. "Tailoring of the pore structures of wood pyrolysis chars for potential use in energy storage applications," Applied Energy, Elsevier, vol. 286(C).
    2. Li, Dezhi & Li, Shuo & Zhang, Shubo & Sun, Jianrui & Wang, Licheng & Wang, Kai, 2022. "Aging state prediction for supercapacitors based on heuristic kalman filter optimization extreme learning machine," Energy, Elsevier, vol. 250(C).

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