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Technoeconomic analysis of biorefinery based on multistep kinetics and integration of geothermal energy

机译:基于多步动力学和地热能整合的生物精炼厂技术经济分析

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摘要

In this work, a technoeconomic study is conducted to assess the feasibility of integrating geothermal energy into a biorefinery for biofuel production. The biorefinery is based on a thermochemical conversion platform that converts 2,000 metric tons of corn stover per day into biofuels via gasification. Geothermal heat is utilized in the biorefinery to generate process steam for gasification and steam-methane reforming. A process simulation model is developed to simulate the operation of the proposed biorefinery, and corresponding economic analysis tools are utilized to predict the product value. Process steam at 150 ºC with a flow rate of approximately 16 kg/s is assumed to be generated by utilizing the heat from geothermal resources producing a geothermal liquid at 180 °C and a total flowrate of 105 kg/s. In addition to the use for gasification and steam-methane reforming, additional geothermal capacity at 100 kg/sec from multiple wells is used for electricity production via Organic Rankine Cycle to add to the profitability of the biorefinery. The total capital investment, operating costs, and total product values are calculated considering an operating duration of 20 years for the plant and the data are reported based on the 2012 cost year. Simulation results show that the price of the fuel obtained from the present biorefinery utilizing geothermal energy ranges from $5.18 to $5.50 per gallon gasoline equivalent, which is comparable to $5.14 using the purchased steam. One important incentive for using geothermal energy in the present scenario is the reduction of greenhouse gas emissions resulting from the combustion of fossil fuels used to generate the purchased steam. Geothermal energy is an important renewable energy resource, and this study provides a unique way of integrating geothermal energy into a biorefinery to produce biofuels in an environmentally friendly manner.In the other part of the study, the simulation of biomass gasification is carried out using multistep kinetics under various oxygen-enriched air and steam conditions. The oxygen percentage is increased from 21% to 45% (by volume). Five different kinds of biomass feedstocks including pine wood, maple-oak mixture (50/50 by weight), seed corn, corn stover, and switchgrass are used in this study. The bed temperature is maintained at 800 oC. Different conditions such as flowrates of biomass and different oxygen-enriched air and steam ratios are used to simulate different cases. The simulation results for different species are in good agreement with the experimental data.. From the results, it is evident that the proposed gasification kinetics model can predict the syngas compositions. The model is able to capture the effects of biomass feedstock and oxygen and steam concentrations. The model is able to predict the concentrations of H2, CO, CO2, H2O, CH4, N2 in the syngas; nonetheless, more rigorous simulation has to be carried out to model NOx, NH3, and other higher alkane and alkenes such as C2H4, C2H2, C2H6 etc.
机译:在这项工作中,进行了一项技术经济研究,以评估将地热能纳入生物炼油厂以生产生物燃料的可行性。该生物精炼厂基于一个热化学转化平台,该平台每天通过气化将2,000吨玉米秸秆转化为生物燃料。在生物精炼厂中利用地热来产生用于气化和蒸汽-甲烷重整的工艺蒸汽。建立了过程模拟模型以模拟拟建生物炼油厂的运行,并利用相应的经济分析工具预测产品价值。假定通过利用来自地热资源的热量产生150°C的工艺蒸汽,其流量约为16 kg / s,而地热资源产生的热量为180°C的地热液体。除了用于气化和蒸汽甲烷重整之外,还通过有机朗肯循环利用多口井以100千克/秒的速度提供额外的地热发电能力,以提高生物精炼厂的盈利能力。计算总资本投资,运营成本和产品总价值时,要考虑该工厂的运营年限为20年,并基于2012成本年度报告数据。模拟结果表明,利用地热能从目前的生物炼油厂获得的燃料价格在每加仑汽油当量5.18至5.50美元之间,与使用购买的蒸汽时的5.14美元可比。在当前情况下,使用地热能的一项重要诱因是减少了用于产生购买蒸汽的化石燃料燃烧所产生的温室气体排放。地热能是一种重要的可再生能源,这项研究提供了一种独特的方法,可以将地热能整合到生物提炼厂中,从而以一种环境友好的方式生产生物燃料。在各种富氧空气和蒸汽条件下的动力学。氧气百分比从21%增加到45%(按体积计)。在这项研究中,使用了五种不同类型的生物质原料,包括松木,枫木-橡木混合物(重量比为50/50),玉米种子,玉米秸秆和柳枝switch。床温保持在800 oC。使用不同的条件(例如生物质的流量以及不同的富氧空气和蒸汽比)来模拟不同的情况。不同物种的模拟结果与实验数据吻合良好。从结果可以明显看出,提出的气化动力学模型可以预测合成气的组成。该模型能够捕获生物质原料以及氧气和蒸汽浓度的影响。该模型能够预测合成气中H2,CO,CO2,H2O,CH4,N2的浓度。但是,必须进行更严格的模拟以模拟NOx,NH3和其他高级烷烃和烯烃,例如C2H4,C2H2,C2H6等。

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  • 作者

    Banerjee, Sudhanya;

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  • 年度 2012
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  • 原文格式 PDF
  • 正文语种 en
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