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基于动力学模型的气化制富氢合成气:响应曲面法-效用优化及技术经济分析

H-rich syngas production from gasification involving kinetic modeling: RSM-utility optimization and techno-economic analysis.

作者信息

Sharma Ajay, Nath Ratnadeep

机构信息

Department of Chemical Engineering, Indian Institute of Technology Roorkee Uttarakhand 247667 India

Department of Mechanical Engineering, National Institute of Technology Mizoram Mizoram 796012 India

出版信息

RSC Adv. 2023 Mar 31;13(15):10308-10321. doi: 10.1039/d3ra00287j. eCollection 2023 Mar 27.

DOI:10.1039/d3ra00287j
PMID:37006364
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10065057/
Abstract

In this research article, H rich syngas production is optimized using response surface methodology (RSM) and a utility concept involving chemical kinetic modeling considering eucalyptus wood sawdust (CHO) as gasification feedstock. By adding water gas shift reaction, the modified kinetic model is validated with lab scale experimental data (2.56 ≤ root mean square error ≤ 3.67). Four operating parameters (, particle size " ", temperature "", steam to biomass ratio "SBR", and equivalence ratio "ER") of air-steam gasifier at three levels are used to frame the test cases. Single objective functions like H maximization and CO minimization are considered whereas for multi-objective function a utility parameter (80% H : 20% CO) is considered. The regression coefficients ( = 0.89, = 0.98 and = 0.90) obtained during the analysis of variance (ANOVA) confirm a close fitting of the quadratic model with the chemical kinetic model. ANOVA results indicate ER as the most influential parameter followed by , SBR, and . RSM optimization gives H| = 51.75 vol%, CO| = 14.65 vol% and utility gives H| = 51.69 vol% (0.11%↓), CO| = 14.70 vol% (0.34%↑). The techno-economic analysis for a 200 m per day syngas production plant (at industrial scale) assured a payback period of 4.8 (∼5) years with a minimum profit margin of 142% when syngas selling price is set as 43 INR (0.52 USD) per kg.

摘要

在本研究论文中,以桉木锯末(CHO)作为气化原料,采用响应面法(RSM)和涉及化学动力学建模的效用概念对富氢合成气的生产进行了优化。通过加入水煤气变换反应,利用实验室规模的实验数据(2.56≤均方根误差≤3.67)对改进的动力学模型进行了验证。采用空气 - 蒸汽气化炉的四个操作参数(粒度“ ”、温度“ ”、蒸汽与生物质比“SBR”和当量比“ER”),每个参数设置三个水平来构建测试案例。考虑了单一目标函数,如氢气最大化和一氧化碳最小化,而对于多目标函数,则考虑了一个效用参数(8氢气:20%一氧化碳)。在方差分析(ANOVA)过程中获得的回归系数( = 0.89, = 0.98和 = 0.90)证实了二次模型与化学动力学模型的紧密拟合。方差分析结果表明,当量比是最具影响力的参数,其次是 、蒸汽与生物质比和 。响应面法优化得到氢气含量 = 51.75体积%,一氧化碳含量 = 14.65体积%,效用优化得到氢气含量 = 51.69体积%(下降0.11%),一氧化碳含量 = 14.70体积%(上升0.34%)。对一个日产200立方米合成气的工厂(工业规模)进行的技术经济分析表明,当合成气售价设定为每千克43印度卢比(0.52美元)时,投资回收期为4.8(约5)年,最低利润率为142%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f0e/10065057/b004bccdce5f/d3ra00287j-f7.jpg
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Effect of Steam on the Tar Reforming during Circulating Fluidized Bed Char Gasification.蒸汽对循环流化床焦炭气化过程中焦油重整的影响。
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