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生物质气化和合成气发酵生产乙醇的过程模拟。

Process simulation of ethanol production from biomass gasification and syngas fermentation.

机构信息

Department of Biosystems and Agricultural Engineering, Oklahoma State University, Stillwater, OK, USA.

Department of Biosystems and Agricultural Engineering, Oklahoma State University, Stillwater, OK, USA.

出版信息

Bioresour Technol. 2017 Dec;245(Pt A):925-932. doi: 10.1016/j.biortech.2017.08.193. Epub 2017 Sep 1.

DOI:10.1016/j.biortech.2017.08.193
PMID:28931209
Abstract

The hybrid gasification-syngas fermentation platform can produce more bioethanol utilizing all biomass components compared to the biochemical conversion technology. Syngas fermentation operates at mild temperatures and pressures and avoids using expensive pretreatment processes and enzymes. This study presents a new process simulation model developed with Aspen Plus® of a biorefinery based on a hybrid conversion technology for the production of anhydrous ethanol using 1200tons per day (wb) of switchgrass. The simulation model consists of three modules: gasification, fermentation, and product recovery. The results revealed a potential production of about 36.5million gallons of anhydrous ethanol per year. Sensitivity analyses were also performed to investigate the effects of gasification and fermentation parameters that are keys for the development of an efficient process in terms of energy conservation and ethanol production.

摘要

与生化转化技术相比,混合气化-合成气发酵平台可以利用所有生物质成分生产更多的生物乙醇。合成气发酵在温和的温度和压力下运行,避免使用昂贵的预处理工艺和酶。本研究提出了一种新的过程模拟模型,该模型使用 Aspen Plus®开发,基于混合转化技术,利用 1200 吨/天(wb)的柳枝稷生产无水乙醇的生物精炼厂。模拟模型由三个模块组成:气化、发酵和产品回收。结果表明,每年可生产约 3650 万加仑无水乙醇。还进行了敏感性分析,以研究气化和发酵参数的影响,这些参数是节能和提高乙醇生产效率的关键。

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引用本文的文献

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Modeling ethanol production through gas fermentation: a biothermodynamics and mass transfer-based hybrid model for microbial growth in a large-scale bubble column bioreactor.通过气体发酵模拟乙醇生产:一种基于生物热力学和传质的大规模鼓泡塔生物反应器中微生物生长的混合模型。
Biotechnol Biofuels. 2020 Mar 27;13:59. doi: 10.1186/s13068-020-01695-y. eCollection 2020.
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Dynamic modeling of syngas fermentation in a continuous stirred-tank reactor: Multi-response parameter estimation and process optimization.在连续搅拌釜式反应器中进行合成气发酵的动态建模:多响应参数估计和过程优化。
Biotechnol Bioeng. 2019 Oct;116(10):2473-2487. doi: 10.1002/bit.27108. Epub 2019 Jul 24.