Effects of burner type on a bench-scale entrained flow gasifier and conceptual modeling of the system with Aspen Plus

Lee, Joongwon; Park, Seik; Seo, Hai-Kyung; Kim, Miyeong; Kim, Si-Moon; Chi, Junhwa; Kim, Kitae

doi:10.1007/s11814-011-0217-z

Cited by 11 publications

(12 citation statements)

References 9 publications

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“…Although there are some equilibrium-based ASPEN Plus models for EFGs [2e10], there are very few studies on the detailed kineticsbased ASPEN Plus model development [11e13, 16,17] in the literature. Some of the very few kinetics-based ASPEN Plus model for gasification includes the work of Wen and Chaung [11] who developed a single-step pyrolysis model with rate expressions for the reaction of char with CO 2 , O 2 and H 2 and a global rate for gaseous equilibrium.…”

Section: Introductionmentioning

confidence: 99%

“…Their study was validated with the gasification studies for the three Australian coals, CRC252, CRC274, and CRC299 [15]. Lee et al [16] also investigated the effects of different burner types and oxygen gas supply angle of the burner on the gas composition, carbon conversion and gasifier temperature of a bench-scale entrained flow gasifier in ASPEN Plus. They validated their model with the experimental data from the 1-ton-per-day oxygen-blown Korea Electronic Power Corporation (KEPCO) research institute gasifier.…”

Section: Introductionmentioning

confidence: 99%

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Modeling of the entrained flow gasification: Kinetics-based ASPEN Plus model

Adeyemi¹,

Janajreh²

2015

Renewable Energy

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a b s t r a c tIn this study, the entrained flow gasification (EFG) of Kentucky coal and wood waste had been investigated using detailed kinetics-based ASPEN Plus model and experimental diagnostics. The experimental investigation was conducted in the air-blown atmospheric drop tube experimental facility furnace. The exit gas composition at different equivalence ratios was obtained to validate the developed ASPEN Plus model. In addition, the scanning electron microscopy (SEM) images of the char were observed along the gasifier to determine the behavior of the feedstock subjected to gasification and to select proper char gasification models. The model takes into account the passive heating through moisture release, devolatilization, volatile combustion and char gasification. It made the investigation of the gasification process and running sensitivity studies practically feasible as current equilibrium and high fidelity coupled thermo-chemical-flow models are insufficient or pertaining much complexity to use. The model compares reasonably well with the experimental data obtained in this work and is been used to carry out sensitivity study. A rise in the diameter and height sizes lead to an increase in the mole fraction of CO and H 2 throughout the length of the gasifier, an opposite trend was observed for the CO 2 and H 2 O composition. It was also observed that the mole fraction of the syngas was lower for the biomass waste compared to the baseline coal as this is attributed to the higher oxygen content (43.62%) and lower carbon content (49.41%) of the waste biomass compared to coal.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling of the entrained flow gasification: Kinetics-based ASPEN Plus model

Adeyemi¹,

Janajreh²

2015

Renewable Energy

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“…Future plants will be hybrid power/chemical plants with gasification as the key unit operation; as a consequence, the thermochemical process has been emerging as the premier unit operation in the energy and chemical industries. Therefore, the gasification continues to be an important topic to research [3,6,7].…”

Section: Introductionmentioning

confidence: 99%

Thermochemical Equilibrium Model of Synthetic Natural Gas Production from Coal Gasification Using Aspen Plus

Barrera

Salazar²,

Pérez

2014

International Journal of Chemical Engineering

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The production of synthetic or substitute natural gas (SNG) from coal is a process of interest in Colombia where the reserves-to-production ratio (R/P) for natural gas is expected to be between 7 and 10 years, while the R/P for coal is forecasted to be around 90 years. In this work, the process to produce SNG by means of coal-entrained flow gasifiers is modeled under thermochemical equilibrium with the Gibbs free energy approach. The model was developed using a complete and comprehensive Aspen Plus model. Two typical technologies used in entrained flow gasifiers such as coal dry and coal slurry are modeled and simulated. Emphasis is put on interactions between the fuel feeding technology and selected energy output parameters of coal-SNG process, that is, energy efficiencies, power, and SNG quality. It was found that coal rank does not significantly affect energy indicators such as cold gas, process, and global efficiencies. However, feeding technology clearly has an effect on the process due to the gasifying agent. Simulations results are compared against available technical data with good accuracy. Thus, the proposed model is considered as a versatile and useful computational tool to study and optimize the coal to SNG process.

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“…To make FOA more universal for the continuous optimization problems, espe- 27 cially for those problems with optimal solutions that are not zero. This paper proposes an improved fruit 28 fly optimization algorithm based on differential evolution (DFOA) by modifying the expression of the 29 smell concentration judgment value and by introducing a differential vector to replace the stochastic 30 search. Through numerical experiments based on 12 benchmark instances, experimental results show 31 that the improved DFOA has a stronger global search ability, faster convergence, and convergence stabil-32 ity in high-dimensional functions than the original FOA and evolutionary algorithms from literature.…”

mentioning

confidence: 99%

“…This software has been used for gasification systems based 499 on a minimization of the Gibbs free energy at equilibrium[28]. The 500 simulation is developed under the assumption that the residence 501 time is long enough to allow the chemical reactions to reach equi-502 librium state and that the carbon conversion is an initial variable.503 Meanwhile, the model does not consider the effect of gasifier struc-504 ture and does not provide the distribution of each variable in the 505 gasifier.…”

mentioning

confidence: 99%