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<p>Bioethanol derived from lignocellulosic biomass presents a sustainable and eco-friendly alternative to gasoline, promoting cleaner energy and reducing greenhouse gas emissions. This review critically examines bioethanol production from diverse lignocellulosic biomass sources, emphasizing yield optimization through advanced bioenergy production systems. Lignocellulosic materials, mainly sourced from agricultural residues, account for approximately 50% of global biomass availability. Bioethanol production typically involves four critical stages: pretreatment, hydrolysis, fermentation, and distillation. Effective pretreatment can increase fermentable sugar yield by up to 70%, while lignin removal efficiency remains a major challenge, often limited to ≤ 50%. The study also reviews research published from 2010 to 2024, utilizing 8480 documents retrieved from the Scopus database. Scientometric analysis using VOSviewer reveals a significant increase in publications post-2015, highlighting the growing focus on sustainable biofuels. Key search terms included "Bioethanol Production," "Agricultural Waste Utilization," and "Emission Reduction Technologies." Experimental findings discussed in this review show that ethanol-gasoline blends, particularly E20 (20% ethanol), achieve 18% higher brake thermal efficiency and a brake power output of 4.2&#xa0;kW at 24° bTDC compared to gasoline. Emission analysis indicates that E60 reduces CO and HC emissions by 75% and 66%, respectively, though NOx emissions can increase by 10%. Performance evaluation covers combustion characteristics such as cylinder temperature rise (up to 8%), increased flame speed, and improved heat release rates. This review provides comprehensive insights into production challenges, process improvements, engine performance impacts, and future research directions for bioethanol integration into transportation energy systems.</p>

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A comprehensive review on bioethanol production from diverse lignocellulosic biomass and its usability in SI engines: recent advances, scientometric analysis, and future perspectives

  • 期刊论文

  • 发表日期：

    2025年6月30日

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  • Chandra Shekhar,
  • Aqueel Ahmad,
  • Dinesh Kumar Singh

摘要

Bioethanol derived from lignocellulosic biomass presents a sustainable and eco-friendly alternative to gasoline, promoting cleaner energy and reducing greenhouse gas emissions. This review critically examines bioethanol production from diverse lignocellulosic biomass sources, emphasizing yield optimization through advanced bioenergy production systems. Lignocellulosic materials, mainly sourced from agricultural residues, account for approximately 50% of global biomass availability. Bioethanol production typically involves four critical stages: pretreatment, hydrolysis, fermentation, and distillation. Effective pretreatment can increase fermentable sugar yield by up to 70%, while lignin removal efficiency remains a major challenge, often limited to ≤ 50%. The study also reviews research published from 2010 to 2024, utilizing 8480 documents retrieved from the Scopus database. Scientometric analysis using VOSviewer reveals a significant increase in publications post-2015, highlighting the growing focus on sustainable biofuels. Key search terms included "Bioethanol Production," "Agricultural Waste Utilization," and "Emission Reduction Technologies." Experimental findings discussed in this review show that ethanol-gasoline blends, particularly E20 (20% ethanol), achieve 18% higher brake thermal efficiency and a brake power output of 4.2 kW at 24° bTDC compared to gasoline. Emission analysis indicates that E60 reduces CO and HC emissions by 75% and 66%, respectively, though NOx emissions can increase by 10%. Performance evaluation covers combustion characteristics such as cylinder temperature rise (up to 8%), increased flame speed, and improved heat release rates. This review provides comprehensive insights into production challenges, process improvements, engine performance impacts, and future research directions for bioethanol integration into transportation energy systems.