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Sustainable Energy Storage Systems: The Promise of Biomass-Derived Carbon Materials for High-Performance Supercapacitors
Автор(ы)
Aigerim R. Seitkazinova
Muhammad Hashami
Meruyert Nazhipkyzy
Roza G. Abdulkarimova
Aigerim G. Zhaxybayeva
Saltanat S. Kaliyeva
Balken T. Kuderina
Bakhytzhan T. Lesbayev
Дата публикации
26 апреля 2026 г.
Тип
journal article
Издатель
Multidisciplinary Digital Publishing Institute
Журнал
Том
16
Выпуск
9
Первая страница
524
Последняя страница
524
ISSN
2079-4991
Аннотация
The rapid demand for sustainable and efficient energy storage solutions has prompted the pursuit of eco-friendly electrode materials. Biomass-derived carbons from food waste offer a promising pathway to meet this need by combining waste valorization, environmental benefits, and high electrochemical performance. This review highlights that food waste biomass is an effective and inexpensive source of precursors for producing high-performance carbon materials for supercapacitors. Food waste, which includes fruit peels and vegetable residues, cereal husks, and oilseed residues, is a good source of lignocellulosic components, heteroatoms, and structural features that determine the electrochemical characteristics of the derived carbons. These wastes produce hierarchically porous carbons with high surface areas (>1500 m2 g−1) on pyrolysis and activation that provide superior ion transport, wettability and pseudocapacitive behaviour. Their electrochemical performance includes capacitances up to 520 F g−1 and energy densities of 35–70 Wh kg−1 in optimized systems, particularly under extended voltage windows or in hybrid supercapacitor configurations, and high cycling stability is equal to or even better than traditional carbons such as activated carbon and graphene. Additionally, biomass valorization contributes to a high level of greenhouse gas capture, decreases landfill, and correlates with the idea of a circular economy. The commercialization potential of biomass-based supercapacitors is supported by recent developments in AI-based optimization, combined with scalable synthesis methods, which would support ecologically, economically, and technologically sustainable energy storage on a large scale.
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