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Sustainable Valorization of Lignocellulose: A Prospective Life Cycle Assessment of Deep Eutectic Solvent-Based Processes and Economic Viability

生命周期评估 深共晶溶剂 货币化 环境科学 持续性 生物量(生态学) 环境经济学 环境影响评价 废物管理 共晶体系 可扩展性 可再生能源 工艺工程 可持续发展 生化工程 自然资源经济学 环境工程 工业生态学 业务 比例(比率) 索引(排版) 情景分析 环境分析 钥匙(锁) 化学工业 影响评估
作者
Yun Wang,Han Gao,Jinliu Xiao,Yunkai Yu,Yanqing Yi,Junzhang Wu,Alessandro Manzardo,Jian Zhang,Zhiwei Wang,Qingshan Luo
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:59 (45): 24368-24379 被引量:6
标识
DOI:10.1021/acs.est.5c10054
摘要

The sustainable conversion of lignocellulosic biomass into high-value biobased products is a key low-carbon strategy to address global energy and environmental challenges. Deep eutectic solvents (DES) have emerged as green, tunable media for biomass pretreatment, but their environmental performance and scalability remain underexplored. This study applies a prospective life cycle assessment (pLCA) to a scaled-up multicomponent DES system based on volatile fatty acid (VFA) formulations. Laboratory-scale data were extrapolated through scale-up modeling, learning curves, and scenario analysis to simulate industrial conditions. Environmental impacts of the scaled-up system were compared to laboratory-scale and three conventional pretreatment technologies to assess trade-offs and feasibility. Results show that, with solvent recovery, the scaled DES system reduces environmental impacts by at least 67% across all midpoint categories and outperforms traditional methods. Monetization impact and economic analysis confirm its feasibility, showing a risk index below 0.65 and lower costs than binary DES systems, demonstrating superior environmental and economic potential. Sensitivity analysis highlights DES recovery as a key driver: increasing recovery from 50 to 90% cuts impacts by approximately 70%, underscoring its importance. This study delivers the first pLCA of a scaled multicomponent DES pretreatment, highlighting its environmental-economic trade-offs and supporting its sustainable industrial potential.
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