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评估氨纤维膨胀(AFEX)预处理条件对乙醇生产成本的影响。

Evaluating the impact of ammonia fiber expansion (AFEX) pretreatment conditions on the cost of ethanol production.

机构信息

Biomass Conversion Research Laboratory, Department of Chemical Engineering and Material Science, Michigan State University, 3900 Collins Rd., Lansing, MI 48910, United States.

出版信息

Bioresour Technol. 2011 Jan;102(2):1277-83. doi: 10.1016/j.biortech.2010.08.058. Epub 2010 Aug 22.

Abstract

Ammonia fiber expansion (AFEX) pretreatment is an ammonia-based process for improving the susceptibility of lignocellulosic biomass to enzymatic attack. Four parameters--ammonia loading, water loading, reaction temperature, and residence time--can be varied in order to optimize AFEX pretreatment. The effect of these parameters on process economics of ethanol production was studied using a leading biorefinery model. Ammonia loading and residence time had the greatest impact on the economics of ethanol production, primarily due to processing costs for the chilled water condenser and the capital cost of the AFEX reactor. Water loading and reaction temperature had only modest impact on process economics. In addition, the impact of pretreatment conditions on makeup ammonia requirements was explored experimentally, which ranged from 15 to 25 g ammonia/kg biomass. Overall, pretreatment conditions can change the costs of ethanol production by up to 35 cents per gallon ethanol in an 850 ton/day refinery. By linking the results obtained from this Aspen model to experimental results for ethanol production and makeup ammonia recovery, this study can be used to create an economic optimum for AFEX pretreatment in contrast with simply maximizing fermentable sugar production.

摘要

氨纤维膨胀(AFEX)预处理是一种基于氨的方法,用于提高木质纤维素生物质对酶攻击的敏感性。可以改变四个参数——氨负荷、水负荷、反应温度和停留时间——以优化 AFEX 预处理。使用领先的生物精炼模型研究了这些参数对乙醇生产工艺经济性的影响。氨负荷和停留时间对乙醇生产的经济性影响最大,主要是由于冷水冷凝器的加工成本和 AFEX 反应器的资本成本。水负荷和反应温度对工艺经济性的影响较小。此外,还通过实验探索了预处理条件对补氨要求的影响,范围为 15 至 25 克氨/千克生物质。总的来说,在一个每天 850 吨的炼油厂中,预处理条件每加仑乙醇的生产成本最高可达 35 美分。通过将从该 Aspen 模型获得的结果与乙醇生产和补氨回收的实验结果联系起来,本研究可以用于创建与单纯最大化可发酵糖生产相比的 AFEX 预处理的经济最佳方案。

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