Conceptual design of furfural extraction, oxidative upgrading and product recovery: COSMO-RS-based process-level solvent screening

IF 3.9 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Ville Tuppurainen , Lorenz Fleitmann , Jani Kangas , Kai Leonhard , Juha Tanskanen
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引用次数: 0

Abstract

Liquid phase oxidation of furfural using hydrogen peroxide offers a promising route for bio-based C4 furanones and diacids; however, only dilute water-based process designs have been previously suggested that have limited techno-economic potential. In this study, a conceptual process design is presented, where aqueous furfural is extracted using an organic solvent, coupled with peroxide oxidation and product recovery in the presence of the solvent. To address the problem of solvent selection, the COSMO-RS-based solvent screening framework is applied, where quantum mechanics-based thermodynamics are utilized in pinch-based process models. About 2500 solvent candidates were identified as feasible. Focusing on a set of 400 solvent candidates revealed energy consumption values (Qreb,tot/prod recov) between approximately 2 MWh/tonne and 33 MWh/tonne, signifying the potential of the solvent-based process in outperforming the reference aqueous process (49.4 MWh/tonne). The study provides potential solvent candidates and future directions to consider in more costly computational and experimental efforts.

Abstract Image

糠醛提取、氧化升级和产品回收的概念设计:基于 COSMO-RS 的工艺级溶剂筛选
使用过氧化氢对糠醛进行液相氧化为生物基 C4 呋喃酮和二元酸的生产提供了一条前景广阔的途径;然而,之前提出的仅有稀释水基工艺设计,其技术经济潜力有限。本研究提出了一种概念性工艺设计,即使用有机溶剂萃取水基糠醛,同时在溶剂存在的情况下进行过氧化物氧化和产品回收。为了解决溶剂选择问题,我们采用了基于 COSMO-RS 的溶剂筛选框架,在该框架中,基于量子力学的热力学被用于基于夹持的工艺模型中。约有 2500 种候选溶剂被确定为可行。通过对一组 400 种候选溶剂的研究发现,能耗值(Qreb,tot/ṁprod recov)介于约 2 兆瓦时/吨和 33 兆瓦时/吨之间,这表明基于溶剂的工艺具有超越参考水基工艺(49.4 兆瓦时/吨)的潜力。该研究提供了潜在的候选溶剂和未来方向,供成本更高的计算和实验工作考虑。
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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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