Isothermal Stage Kinetics of Direct Coal Liquefaction for Shenhua Shendong Bituminous Coal

Jiang, Hongbo; Wang, Xiuhui; Shan, Xiangen; Li, Kejian; Zhang, Xuwen; Cao, Xueping; Weng, Han‐Rong

doi:10.1021/acs.energyfuels.5b01484

Cited by 8 publications

(2 citation statements)

References 10 publications

(21 reference statements)

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“…At the beginning of the liquefaction reaction, the easily reactive part of coal is rapidly transformed, while the other parts remain unreactive. As the reaction progresses, the hard-to-react part only reacts once the easily reactive part has been completely transformed, while the generated asphaltene and preasphaltene undergo hydrogenation [11]. Therefore, when considering the existence of differences in the reactivity of different components of coal, it is important to discuss the kinetics of the coal liquefaction reactions at different reaction stages separately.…”

Section: Introductionmentioning

confidence: 99%

A Study on the Hydro-Liquefaction Kinetics of Shengli Lignite during the Heating-Up and Isothermal Stages under Mild Conditions

Li,

Zhang,

Huang

et al. 2024

Energies

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Studying the hydro-liquefaction kinetics of lignite contributes to optimizing the mild liquefaction process for lignite. In this paper, the direct liquefaction performance of Shengli lignite (SL) was investigated using a H2/THN system with 4 MPa of initial pressure, and reaction kinetic models were established for the heating-up stage and the isothermal stage. The result showed that the liquefaction performance of the SL was excellent, with a conversion of 62.18% and an oil and gas (O + G) yield of 29.88% at 698.15 K. After one hour of reaction, the conversion and O + G yield were 94.61% and 76.78%, respectively. During the heating-up stage, the easily reactive part of the SL was 50.07%, and it was converted directly into oil, gas, asphaltene (AS), and preasphaltene (PA) simultaneously. There was no significant secondary hydrogenation conversion of the AS and PA products. During the isothermal stage, the hard-to-react part was predominantly converted into AS and PA, while the remaining easily reactive part continue to react completely. The conversion of AS and PA into oil and gas was a rate-controlling step during this stage. The amount of unreacted coal estimated using the model calculated in the isothermal stage was 2.98%, which was significantly consistent with the experimental value of 2.81%.

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Section: Introductionmentioning

confidence: 99%

A Study on the Hydro-Liquefaction Kinetics of Shengli Lignite during the Heating-Up and Isothermal Stages under Mild Conditions

Li,

Zhang,

Huang

et al. 2024

Energies

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“…Their study also shows that because of the higher H/C ratio of biomass compared to that of coal, the hydrogen consumption in the direct liquefaction plant and CO 2 emission associated with hydrogen production can be reduced by increasing the biomass content in the system [39]. Even though several efforts have been made to understand the kinetics and thermal behavior of DCL reactions and the hydrodynamics of DCL reactors [40][41][42][43], the direct coal-biomass to liquids (CBTL) process has been hardly modeled in details at the equipment-level or at the system-level especially with a focus on reduction of GHG emission from this process. Process modeling and simulation of the liquefaction section and the hydrogen production section simultaneously can help to accurately estimate the throughput of the hydrogen production section and associated CO 2 emission with different types and ratios of coal, biomass and shale gas.…”

Section: Introductionmentioning

confidence: 99%

Process modeling of direct coal-biomass to liquids (CBTL) plants with shale gas utilization and CO2 capture and storage (CCS)

Jiang

Bhattacharyya

2016

Applied Energy

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Direct coal liquefaction (DCL) technologies have been commercially demonstrated for producing transportation fuels from non-petroleum sources. However, significant amount of hydrogen is required in the DCL process due to the low H/C ratio in coal. As a result, DCL processes are usually associated with a high level CO 2 emission from hydrogen production units. Hence, direct coal biomass to liquids (CBTL) processes with CO 2 capture and storage (CCS) and shale gas utilization are proposed in this work as an option for reducing CO 2 emission. In this study, the focus is on process simulation and calculation of material and energy balances of novel direct CBTL plants, which can be used as a basis for further studies, such as optimization, techno-economic analysis and life-cycle analysis. In this process, coal with moderate amount of biomass is converted into syncrude through reaction with the hydrogen-donor solvent and gaseous hydrogen in a catalytic two-stage liquefaction unit. Hydrogen required for the liquefaction and product upgrading unit is produced from the liquefaction residue partial oxidation unit and the shale gas steam reforming unit or from the coal/biomass/residue co-gasification unit. Different CCS technologies are evaluated to achieve 90% overall carbon capture if high extent of CO 2 capture is considered. Results of individual plant sections are validated with the existing data, if available. Sensitivity studies have been conducted to analyze the effects of key operating parameters and design parameters, such as the sources of hydrogen, CCS technologies, extent of CCS, and biomass/coal ratio.

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Analyzing point cloud of coal mining process in much dust environment based on dynamic graph convolution neural network

Zhao

Guo

et al. 2022

Environ Sci Pollut Res

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Isothermal Stage Kinetics of Direct Coal Liquefaction for Shenhua Shendong Bituminous Coal

Cited by 8 publications

References 10 publications

A Study on the Hydro-Liquefaction Kinetics of Shengli Lignite during the Heating-Up and Isothermal Stages under Mild Conditions

A Study on the Hydro-Liquefaction Kinetics of Shengli Lignite during the Heating-Up and Isothermal Stages under Mild Conditions

Process modeling of direct coal-biomass to liquids (CBTL) plants with shale gas utilization and CO2 capture and storage (CCS)

Analyzing point cloud of coal mining process in much dust environment based on dynamic graph convolution neural network

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