利用技术经济分析和生命周期分析优化以甜菜为原料生产生物基异丙醇的可持续供应链

IF 3.9 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Ching-Mei Wen, Marianthi Ierapetritou
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引用次数: 0

摘要

本研究利用地理信息系统 (GIS) 框架,对以甜菜为原料生产生物基异丙醇 (IPA) 的技术经济和生命周期分析进行了研究。该研究以创新的 IPA 生产技术为重点,通过优化从甜菜到异丙醇的供应链,证明了将第一代生物质转化为可持续化学品的经济和环境可行性。研究结果表明,成本最优的生产能力为 55,800 公吨/年,在减少排放和运营成本方面具有巨大潜力。生物异丙醇的生产成本可能比化石来源的异丙醇价格低 70%。此外,据估计,生物基 IPA 的潜在利润几乎是其主要原材料糖市场价格的两倍,这证明了将第一代生物质转化为可持续 IPA 生产的经济可行性。研究还探讨了设施集群对运输排放和成本的影响,揭示了扩大工厂产能以应对需求增长的战略方法。这项研究为化工行业设计使用第一代生物质的可持续工业实践提供了启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of sustainable supply chain for bio-based isopropanol production from sugar beet using techno-economic and life cycle analysis

This study examines the techno-economic and life cycle analysis of bio-based isopropanol (IPA) production from sugar beet, utilizing a Geographical Information System (GIS)-enabled framework. By focusing on the innovative IPA production technology, the research demonstrates the economic and environmental feasibility of converting first-generation biomass into sustainable chemicals through the optimization of the Sugar Beet-to-Isopropanol supply chain. Findings highlight a cost-optimal production capacity of 55,800 mt/year with significant potential for reducing emissions and operational costs. The production cost of bio-IPA is potentially 70 % less than the fossil-derived IPA price. Additionally, the potential profits from bio-based IPA are estimated to be nearly double the market price of its primary raw material, sugar, demonstrating the economic feasibility of converting the first-generation biomass for sustainable IPA production. The study also explores the impact of facility clustering on transportation emissions and costs, revealing strategic approaches to expanding plant capacities in response to increasing demand. This research provides insights for designing sustainable industrial practices using first-generation biomass in the chemical industry.

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来源期刊
Computers & Chemical Engineering
Computers & Chemical Engineering 工程技术-工程:化工
CiteScore
8.70
自引率
14.00%
发文量
374
审稿时长
70 days
期刊介绍: Computers & Chemical Engineering is primarily a journal of record for new developments in the application of computing and systems technology to chemical engineering problems.
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