铁基催化剂催化木质素两段加氢热解生产BTX的技术经济评价

Giuseppe Bagnato, Jamie Horgan and Aimaro Sanna
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引用次数: 0

摘要

生物质中所含木质素的热降解,以及所产生的生物油的催化升级,为芳香族商品化学品,特别是苯、甲苯和二甲苯(统称为“BTX”)提供了一条有前途的可再生生产途径。该技术广泛采用的主要障碍是相对于石油衍生BTX生产而言,其经济上的劣势。先前的工作已经确定,用于加氢脱氧(HDO)升级步骤的铁基氧化锆催化剂能够选择性地生成芳烃(高达12 wt%),并最大限度地减少催化剂结焦。研究了在情景1 (S1)和情景2 (S2)下,采用feeox /ZrO2和Fe/ZrO2催化HDO将2000吨/天的木质素废弃物转化为商品化学品的假设工业规模生物质加氢热解装置的技术经济评价(TEA)。TEA是通过构建一个强大的模型来执行的,该模型集成了该过程的技术和经济方面。然后使用蒙特卡罗型敏感性分析来检查预测收益的敏感性。由于每年的制造成本(COM)估计为88/ 1.58亿英镑/年,预计收入为1.16 / 1.71亿英镑/年,预计在方案1和方案2中,基本情况流程每年分别获得约2760万英镑和1270万英镑的收益,敏感性分析产生的模拟总收入约为65% (S1)和95% (S2)。研究发现,对盈利能力最敏感的变量是生物油产量,建议将生物油产量最大化作为进一步研究的重点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Techno-economic assessment of two-stage hydropyrolysis of lignin for BTX production using iron-based catalysts†

Techno-economic assessment of two-stage hydropyrolysis of lignin for BTX production using iron-based catalysts†

The thermal degradation of the lignin contained in biomass, followed by catalytic upgrading of the resultant bio-oil, offers a promising renewable generation pathway for aromatic commodity chemicals, in particular benzene, toluene and xylene (collectively ‘BTX’). The primary barrier to widespread adoption of this technology is its economic unfavourability relative to petroleum-derived BTX production. Previous work has determined that iron-based zirconium oxide catalysts for the hydrodeoxygenation (HDO) upgrading step are able to selectively generate aromatic hydrocarbons (up to 12 wt%) and minimise catalyst coking. The techno-economic assessment (TEA) of a hypothetical industrial-scale biomass hydropyrolysis plant, converting 2000 tonnes per day of lignin waste into commodity chemicals using FeReOx/ZrO2 and Fe/ZrO2 catalysed HDO respectively in scenario 1 (S1) and scenario 2 (S2), was investigated. The TEA was carried out by constructing a robust model that integrates both technical and economic aspects of the process. A Monte Carlo-type sensitivity analysis was then used to examine the sensitivity of the predicted earnings. With the yearly Cost of Manufacturing (COM) estimated to be 88/158 M£ per year and revenues predicted to be 116/171 M£ per year, the base-case processes were predicted to make a yearly gain of approximately 27.6 and 12.7 M£ per year respectively in scenarios 1 and 2, with the sensitivity analysis yielding gross earnings of approximately 65% (S1) and 95% (S2) of simulations. The variable to which the profitability was most sensitive was found to be the bio-oil yield, and maximisation of this yield is recommended as a focus of further research.

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