Three-dimensional honeycomb-like hierarchically structured carbon for high-performance supercapacitors derived from high-ash-content sewage sludge
In this work, we demonstrate for the first time that three-dimensional honeycomb-like hierarchically structured carbon (HSC) can be prepared by using high-ash-content sewage sludge as a carbon precursor. The fly-silicon process plays a crucial role in the formation of honeycomb-like hierarchical str...
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Published in | Journal of materials chemistry. A, Materials for energy and sustainability Vol. 3; no. 29; pp. 15225 - 15234 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
01.01.2015
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Subjects | |
Online Access | Get full text |
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Summary: | In this work, we demonstrate for the first time that three-dimensional honeycomb-like hierarchically structured carbon (HSC) can be prepared by using high-ash-content sewage sludge as a carbon precursor. The fly-silicon process plays a crucial role in the formation of honeycomb-like hierarchical structures. The as-resulted HSC exhibits novel honeycomb-like frameworks, high specific surface area (2839 m super(2) g super(-1)), large pore volume (2.65 cm super(3) g super(-1)), interconnected hierarchical porosity, and excellent electrochemical performance. The high specific capacitance of 379 F g super(-1) as well as excellent rate capability and outstanding cycling stability (over 90% capacitance retention after 20 000 cycles even at a high current density of 20 A g super(-1)), makes it suitable for high-performance supercapacitor electrode materials. The assembled HSC//HSC symmetric supercapacitor presents enhanced supercapacitive behavior with a high energy density of 30.5 W h kg super(-1) in aqueous solution. This strategy provides an effective method to develop high-performance electrode materials derived from other high-ash-content biomass wastes for supercapacitors. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 2050-7488 2050-7496 |
DOI: | 10.1039/c5ta03217b |