Unnikrishna Menon , Brajesh Kumar Dubey , Amit Kumar
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Additionally, the significance of usually disregarded qualitative analysis of biocarbon, including H/C and O/C ratio, and the structural heterogeneity of similar waste biomass feedstocks following different heat treatment methods are addressed. These compositional changes lead to variations in electrochemical performance. The correlation between material properties and electrochemical performance is established through a comprehensive analysis of synthesis methodologies and resulting structural modifications. Also, various recent publications report specific capacitance of biomass-based hard carbon prediction using Machine Learning (ML). However, this review identifies certain limitations in existing approaches. These limitations are also discussed in detail, contributing to new knowledge in the field. Finally, the challenges in storage mechanisms and perspectives on future research directions with an insight into ML influencing the performance of hard carbon-based electrodes are examined.</div></div>","PeriodicalId":253,"journal":{"name":"Biomass & Bioenergy","volume":"198 ","pages":"Article 107844"},"PeriodicalIF":5.8000,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Engineering biomass-derived hard carbon for secondary batteries and supercapacitors. Are we there yet? A comprehensive review\",\"authors\":\"Unnikrishna Menon , Brajesh Kumar Dubey , Amit Kumar\",\"doi\":\"10.1016/j.biombioe.2025.107844\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Addressing the global energy demand requires innovative solutions, particularly in light of rising atmospheric CO<sub>2</sub> levels and the imperative to transition away from coal. Carbonaceous materials obtained from biomass waste streams (known as hard carbons) show considerable potential owing to their abundance and beneficial characteristics for energy storage devices. However, there is a lack of understanding of the complex and heterogeneous nature of biomass. This hinders industrialists from making well-informed decisions on material selection. This review explores the progression of waste biomass-derived hard carbon materials tailored as a sustainable alternative to conventional carbon sources. Additionally, the significance of usually disregarded qualitative analysis of biocarbon, including H/C and O/C ratio, and the structural heterogeneity of similar waste biomass feedstocks following different heat treatment methods are addressed. These compositional changes lead to variations in electrochemical performance. The correlation between material properties and electrochemical performance is established through a comprehensive analysis of synthesis methodologies and resulting structural modifications. Also, various recent publications report specific capacitance of biomass-based hard carbon prediction using Machine Learning (ML). However, this review identifies certain limitations in existing approaches. These limitations are also discussed in detail, contributing to new knowledge in the field. Finally, the challenges in storage mechanisms and perspectives on future research directions with an insight into ML influencing the performance of hard carbon-based electrodes are examined.</div></div>\",\"PeriodicalId\":253,\"journal\":{\"name\":\"Biomass & Bioenergy\",\"volume\":\"198 \",\"pages\":\"Article 107844\"},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2025-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomass & Bioenergy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0961953425002557\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURAL ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomass & Bioenergy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0961953425002557","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURAL ENGINEERING","Score":null,"Total":0}
Engineering biomass-derived hard carbon for secondary batteries and supercapacitors. Are we there yet? A comprehensive review
Addressing the global energy demand requires innovative solutions, particularly in light of rising atmospheric CO2 levels and the imperative to transition away from coal. Carbonaceous materials obtained from biomass waste streams (known as hard carbons) show considerable potential owing to their abundance and beneficial characteristics for energy storage devices. However, there is a lack of understanding of the complex and heterogeneous nature of biomass. This hinders industrialists from making well-informed decisions on material selection. This review explores the progression of waste biomass-derived hard carbon materials tailored as a sustainable alternative to conventional carbon sources. Additionally, the significance of usually disregarded qualitative analysis of biocarbon, including H/C and O/C ratio, and the structural heterogeneity of similar waste biomass feedstocks following different heat treatment methods are addressed. These compositional changes lead to variations in electrochemical performance. The correlation between material properties and electrochemical performance is established through a comprehensive analysis of synthesis methodologies and resulting structural modifications. Also, various recent publications report specific capacitance of biomass-based hard carbon prediction using Machine Learning (ML). However, this review identifies certain limitations in existing approaches. These limitations are also discussed in detail, contributing to new knowledge in the field. Finally, the challenges in storage mechanisms and perspectives on future research directions with an insight into ML influencing the performance of hard carbon-based electrodes are examined.
期刊介绍:
Biomass & Bioenergy is an international journal publishing original research papers and short communications, review articles and case studies on biological resources, chemical and biological processes, and biomass products for new renewable sources of energy and materials.
The scope of the journal extends to the environmental, management and economic aspects of biomass and bioenergy.
Key areas covered by the journal:
• Biomass: sources, energy crop production processes, genetic improvements, composition. Please note that research on these biomass subjects must be linked directly to bioenergy generation.
• Biological Residues: residues/rests from agricultural production, forestry and plantations (palm, sugar etc), processing industries, and municipal sources (MSW). Papers on the use of biomass residues through innovative processes/technological novelty and/or consideration of feedstock/system sustainability (or unsustainability) are welcomed. However waste treatment processes and pollution control or mitigation which are only tangentially related to bioenergy are not in the scope of the journal, as they are more suited to publications in the environmental arena. Papers that describe conventional waste streams (ie well described in existing literature) that do not empirically address ''new'' added value from the process are not suitable for submission to the journal.
• Bioenergy Processes: fermentations, thermochemical conversions, liquid and gaseous fuels, and petrochemical substitutes
• Bioenergy Utilization: direct combustion, gasification, electricity production, chemical processes, and by-product remediation
• Biomass and the Environment: carbon cycle, the net energy efficiency of bioenergy systems, assessment of sustainability, and biodiversity issues.