生产贫氢合成气将沼气转化为液态烃燃料的技术经济分析

IF 4.3 Q2 ENGINEERING, CHEMICAL
Tomy Hos,  and , Moti Herskowitz*, 
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引用次数: 0

摘要

大型沼气厂是CH4和CO2的可行来源,可有效转化为高价值产品。具体而言,液态碳氢化合物的生产可以提高绿色燃料的可用性,同时在现场实现显著的二氧化碳减排。在本研究中,通过将沼气干法转化为贫氢合成气,在CO加氢和低聚反应器中进一步转化,模拟了液态烃的生产。根据已公布的饲料成分实验结果,使用CHEMCAD对该过程进行建模。为重整器设定了CO2/CH4的高摩尔进料比(>;1.7),以最大限度地减少蒸汽需求,同时避免碳的形成并达到最佳的H2/CO摩尔比(0.7)。基于一个容量为5000 Nm3/h的沼气厂,对两种选择进行了技术经济评估,该沼气厂每年生产1380万至1570万升的运输燃料混合原料。该工艺的经济性主要取决于沼气的成本和可用性。对于方案1(将合成气一次性转化为液体燃料)和方案2(从低聚反应器回收尾气),液体燃料的最低售价分别为1.47/L和1.37/L,并且在沼气产量增加到>;20 000Nm3/h。尾气回收(方案2)产生了更高的生产力,从而产生了更大的碳产量(基于甲烷的77.9%)和能源效率(67.1%)。通过实施二氧化碳税或其他减少资本投资的激励措施,可以提高该工艺的经济可行性。它为有效地将沼气转化为液态烃提供了一条潜在的途径,以满足运输部门对可再生燃料作为混合燃料的日益增长的需求,同时提高工厂的可持续性。
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 Analysis of Biogas Conversion to Liquid Hydrocarbon Fuels through Production of Lean-Hydrogen Syngas

Techno-economic Analysis of Biogas Conversion to Liquid Hydrocarbon Fuels through Production of Lean-Hydrogen Syngas

Large-scale biogas plants are a viable source of CH4 and CO2 to be converted efficiently into high-value products. Specifically, production of liquid hydrocarbons can enhance the availability of green fuels while achieving significant CO2 reductions on site. In this study, the production of liquid hydrocarbons is simulated by dry reforming of biogas into lean-hydrogen syngas, further converted in CO hydrogenation and oligomerization reactors. The process was modeled by using CHEMCAD based on published experimental results with the projected feed composition. A high molar feed ratio of CO2/CH4 (>1.7) was set for the reformer to minimize steam requirement while avoiding carbon formation and reaching an optimal H2 to CO molar ratio (0.7). Two options were techno-economically evaluated based on a biogas plant with a capacity of 5000 N m3/h that produces between 13.8 and 15.7 million liters per year of blending stock for transportation fuels. The economics of the process depends mainly on the cost and availability of the biogas. The minimum selling price of the liquid fuels is $1.47/L and $1.37/L for options 1 (once-through conversion of syngas to liquid fuels) and 2 (recycle of tail gas from oligomerization reactor), respectively, and can be significantly reduced in case the biogas throughput is increased to >20 000 N m3/h. Recycling of the tail gas (option 2) yielded higher productivity, resulting in higher carbon yield (77.9% on the basis of methane) and energy efficiency (67.1%). The economic viability of the process can be improved by implementing CO2 tax or other incentives to reduce capital investment. It provides a potential route for efficient conversion of biogas into liquid hydrocarbons to meet the increased demand for renewable fuels as blending stock in the transportation sector while improving the sustainability of the plant.

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来源期刊
ACS Engineering Au
ACS Engineering Au 化学工程技术-
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期刊介绍: )ACS Engineering Au is an open access journal that reports significant advances in chemical engineering applied chemistry and energy covering fundamentals processes and products. The journal's broad scope includes experimental theoretical mathematical computational chemical and physical research from academic and industrial settings. Short letters comprehensive articles reviews and perspectives are welcome on topics that include:Fundamental research in such areas as thermodynamics transport phenomena (flow mixing mass & heat transfer) chemical reaction kinetics and engineering catalysis separations interfacial phenomena and materialsProcess design development and intensification (e.g. process technologies for chemicals and materials synthesis and design methods process intensification multiphase reactors scale-up systems analysis process control data correlation schemes modeling machine learning Artificial Intelligence)Product research and development involving chemical and engineering aspects (e.g. catalysts plastics elastomers fibers adhesives coatings paper membranes lubricants ceramics aerosols fluidic devices intensified process equipment)Energy and fuels (e.g. pre-treatment processing and utilization of renewable energy resources; processing and utilization of fuels; properties and structure or molecular composition of both raw fuels and refined products; fuel cells hydrogen batteries; photochemical fuel and energy production; decarbonization; electrification; microwave; cavitation)Measurement techniques computational models and data on thermo-physical thermodynamic and transport properties of materials and phase equilibrium behaviorNew methods models and tools (e.g. real-time data analytics multi-scale models physics informed machine learning models machine learning enhanced physics-based models soft sensors high-performance computing)
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