Biomass-Based N, P, and S Self-Doped Porous Carbon for High-Performance Supercapacitors

  • Guangzhen Zhao
  • , Yanjiang Li
  • , Guang Zhu
  • , Junyou Shi*
  • , Ting Lu
  • , Likun Pan
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

159 Scopus citations

Abstract

Biomass-based hierarchically porous carbon is green and eco-friendly, which exhibits a wide potential for energy storage due to its large specific surface area and multiheteroatoms codoping. Herein, nitrogen (N), phosphorus (P), and sulfur (S) self-doped hierarchically porous carbon (N-P-S-HPC) has been prepared by a one-step method from a peanut meal for the first time. The as-prepared N-P-S-HPC possesses a typical hierarchically porous framework (micropores, mesopores, and macropores) with an extremely large specific surface area (2090 m2 g-1) and N (11.2 atomic %), P (0.82 atomic %), and S (0.64 atomic %) doping. N-P-S-HPC as an electrode for supercapacitors displays an ultrahigh specific capacitance of 525 F g-1 (1 A g-1) with the contributions of electrical double layer capacitance (EDLC) and pseudocapacitance (PC). Remarkably, the capacitance retention of N-P-S-HPC reaches up to 68% (10 A g-1). The N-P-S-HPC//N-P-S-HPC symmetrical supercapacitor delivers a maximum energy density (24.9 Wh kg-1 at 400 W kg-1). After 6000 cycles at 300 mV s-1, the capacitance loss is only 10%, indicating excellent cycling stability of the peanut meal converted N-P-S-HPC, which enables it to be a promising candidate for energy storage and renewable delivery devices.

Original languageEnglish
Pages (from-to)12052-12060
Number of pages9
JournalACS Sustainable Chemistry and Engineering
Volume7
Issue number14
DOIs
StatePublished - 15 Jul 2019

Keywords

  • Heteroatom self-doped
  • Large specific surface area
  • Peanut meal
  • Porous carbon
  • Supercapacitors

Fingerprint

Dive into the research topics of 'Biomass-Based N, P, and S Self-Doped Porous Carbon for High-Performance Supercapacitors'. Together they form a unique fingerprint.

Cite this