Equilibrium Modeling and Optimization for Gasification of High-Ash Indian Coals by the Gibbs Free Energy Minimization Method

Sharma, Vikrant; Agarwal, Vijay K.

doi:10.1007/s41660-019-00094-7

Cited by 8 publications

(1 citation statement)

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“…The maximum H 2 /CO molar ratio was obtained as 0.74 using a steam–O 2 mixture as a gasifying agent. Li et al reported the design and modeling of an ash agglomerating fluidized-bed gasifier using Aspen Plus for low-rank Chinese coal to produce synthetic natural gas (SNG). − The exergy and energy efficiencies of the system were observed to be 55.3 and 61.5%, respectively, and the production cost (in CYN or Chinese Yuan) of SNG was found to be 1.87 CNY/Nm 3 by considering the coal price of 250 CNY/t in economic analysis. From the studies cited above, it can be inferred that utilizing the Aspen Plus simulation tool in modeling coal gasification processes involving multiple operating variables is very effective.…”

Section: Introductionmentioning

confidence: 99%

High-Ash Low-Rank Coal Gasification: Process Modeling and Multiobjective Optimization

2022

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The diversification of coal for its sustainable utilization in producing liquid transportation fuel is inevitable in countries with huge coal reserves. Gasification has been contemplated as one of the most promising thermochemical routes to convert coal into high-quality syngas, which can be utilized to produce liquid hydrocarbons through catalytic Fischer−Tropsch (F-T) synthesis. Liquid transportation fuel production through coal gasification could help deal with environmental challenges and renewable energy development. The present study aims to develop an equilibrium model of a downdraft fixed-bed gasifier using Aspen Plus simulator to predict the syngas compositions obtained from the gasification of high-ash low-rank coal at different operating conditions. Air is used as a gasifying agent in the present study. The model validation is done using published experimental and simulation results from previous investigations. The sensitivity analysis is done to observe the influence of the major operating parameters, such as equivalence ratio (ER), gasification temperature, and moisture content (MC), on the performance of the CL-RMC concerning syngas generation. The gasification performance of CL-RMC is analyzed by defining various performance parameters such as syngas composition, hydrogento-carbon monoxide (H 2 /CO), molar ratio, syngas yield (Y Syngas ), the lower heating value of syngas (LHV Syngas ), cold gas efficiency (CGE), and carbon conversion efficiency (CCE). The combined effects of the major operating parameters are studied through the response surface methodology (RSM) using the design of experiments. The optimized condition of the major operational parameters is determined for a target value of a H 2 /CO molar ratio of 1 and the maximum CGE and CCE using the multiobjective optimization approach. The high-degree accurate regression model equations were generated for the H 2 /CO molar ratio, CGE, and CCE using the variance analysis (ANOVA) tool. The optimal conditions of the major operating parameters, i.e., ER, gasification temperature, MC for the H 2 /CO molar ratio of 1, and the maximum CGE and CCE, are found to be 0.5, 655 °C, and 16.36 wt %, respectively. The corresponding optimal values of CGE and CCE are obtained as 22 and 16.36%, respectively, with a cumulative composite desirability value of 0.7348. The findings of the present investigation can be decisive for future developmental projects in countries concerning the utilization of high-ash low-rank coal in liquid fuel production through the gasification route.

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