H-2-rich syngas production from gasification involving kinetic modeling: RSM-utility optimization and techno-economic analysis
RSC ADVANCES(2023)
摘要
In this research article, H2 rich syngas production is optimized using response surface methodology (RSM) and a utility concept involving chemical kinetic modeling considering eucalyptus wood sawdust (CH1.63 O1.02 ) 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 (i.e., particle size "dp ", temperature "T", 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 H2 maximization and CO2 minimization are considered whereas for multi-objective function a utility parameter (80% H2 : 20% CO2 ) is considered. The regression coefficients (RH2 2 = 0.89, RCO2 2 = 0.98 and RU 2 = 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 T, SBR, and dp . RSM optimization gives H2 |max = 51.75 vol%, CO2 |min = 14.65 vol% and utility gives H2 |opt. = 51.69 vol% (0.11%down arrow), CO2 |opt. = 14.70 vol% (0.34%up arrow). The techno-economic analysis for a 200 m3 per day syngas production plant (at industrial scale) assured a payback period of 4.8 (similar to 5) years with a minimum profit margin of 142% when syngas selling price is set as 43 INR (0.52 USD) per kg.
更多查看译文
关键词
gasification,kinetic modeling,optimization,rsm-utility,techno-economic
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要