COSMO-based solvent selection and Aspen Plus process simulation for tar absorptive removal

Zhang, Xiaosong; Pan, Jiawei; Wang, Yinfeng; Qian, Tianle; Zhu, Yuezhao; Sun, Hongqi; Gao, Jian; Chen, Haijun; Gao, Ying; Liu, Chang

doi:10.1016/j.apenergy.2019.113314

Cited by 8 publications

(5 citation statements)

References 39 publications

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“…Experimental and simulation-based studies have been reported to investigate the efficiency of different gas cleaning techniques in reducing the tar content of producer gas from biomass gasification. In the study of Harb et al [71] and Zhang et al [72], the oil-based gas washing process (OLGA), which combines a collector with an absorber and a stripper to separate light and heavy tar, was investigated for its tar removal efficiency by process simulation using Aspen Plus. The results of the simulation by Harb et al using methyl-oleate as the absorbent showed an overall tar removal efficiency of 98.8% for an initial tar concentration of 7098 mg/Nm 3 using an oil flow rate of 5500 kg/h at 333 K. While the use of the mixture of soybean oil and N-formylmorpholin at the optimized condition in the study of Zhang et al showed that the process can reduced the tar content of producer gas from 9030 mg/Nm 3 to below 30 mg/Nm 3 .…”

Section: Producer Gas Cleaningmentioning

confidence: 99%

Simulation and Techno-Economic Assessment of Hydrogen Production from Biomass Gasification-Based Processes: A Review

2022

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The development of low-carbon fuels from renewable resources is a key measure to reduce carbon dioxide emissions and mitigate climate change. Biomass gasification with subsequent gas processing and purification is a promising route to produce low-carbon hydrogen. In the past decade, simulation-based modelling using Aspen Plus software has supported the investigation of future potential industrial applications of this pathway. This article aims to provide a review of the modelling and economic assessment of woody biomass gasification-based hydrogen production, with focus on the evaluation of the model accuracy in predicting producer gas composition in comparison with experimental data depending on the approach implemented. The assessment of comprehensive models, which integrate biomass gasification with gas processing and purification, highlights how downstream gas processing could improve the quality of the syngas and, thus, the hydrogen yield. The information in this article provides an overview of the current practices, challenges, and opportunities for future research, particularly for the development of a comprehensive pathway for hydrogen production based on biomass gasification. Moreover, this review includes a techno-economic assessment of biomass to hydrogen processes, which will be useful for implementation at industrial-scale.

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Section: Producer Gas Cleaningmentioning

confidence: 99%

Simulation and Techno-Economic Assessment of Hydrogen Production from Biomass Gasification-Based Processes: A Review

2022

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“…Zhang et al [23] screened several solvents using the conductor-like screening model for real solvents (COSMO-RS) and a mixture of soybean oil and N-formylmorpholine turned out to be an optimal solvent for tar absorption. The simulation results were found to be in good agreement with the experimental data.…”

Section: Introductionmentioning

confidence: 99%

Experimental and Modeling Studies on the Removal of Tars from Coal‐Derived Syngas Using Methyl Oleate

2021

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The absorption of model tar compounds (benzene, toluene, and xylene) in methyl oleate is studied in a fixed-bed absorption column. The dynamic system involving the recirculation of the tar-rich solvent is modeled as a combination of various steady-state snapshots in time, and this approach effectively predicts the performance of the absorber. The rate-based model shows a good agreement with the experimental data as compared to the equilibrium-based model. Further, a pilotscale absorber is designed for the removal of tars from syngas generated in a coalto-methanol plant. The validated rate-based model is used to predict the effect of various operating and geometry parameters on the absorption efficiency of the pilot-scale absorber. The regeneration of the solvent by steam stripping and reboiled stripping is evaluated.

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“…In one word, vegetable oils, as a low-cost, sustainable, and highly efficient absorber, are the most promising choice for tar removal with scrubbers. 21 …”

Section: Introductionmentioning

confidence: 99%

“…What is more, based on the study of Tarnpradab et al, the spent vegetable oil could be recovered by filtration and centrifugal sedimentation and the regenerated vegetable oil still showed more than 90% efficiency for gravimetric tar. In one word, vegetable oils, as a low-cost, sustainable, and highly efficient absorber, are the most promising choice for tar removal with scrubbers …”

Section: Introductionmentioning

confidence: 99%

“…In one word, vegetable oils, as a low-cost, sustainable, and highly efficient absorber, are the most promising choice for tar removal with scrubbers. 21 The available studies about vegetable oil-based absorption mostly focused on the mechanical process, such as the formation of microbubbles, 9 the control of bubbler size, 23 and the development of integrated systems, 22 while less attention has been given on the oil itself. Vegetable oils are a general designation of the oily materials derived from vegetables, and they are usually hybrid liquids that contain saturated (cannot chemically add hydrogen) and unsaturated (can be hydrogenated) 24 fatty acids.…”

Section: Introductionmentioning

confidence: 99%

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Experimental and Comprehensive Evaluation of Vegetable Oils for Biomass Tar Absorption

Wang

Tao

et al. 2020

ACS Omega

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Biomass tar is the bottleneck of biomass gasification, which not only is adverse to energy production but also brings severe environmental issues. A scrubber with vegetable oil is considered as a low-cost but efficient approach for tar removal, but the effects of oil’s properties on different tar absorptions were rarely reported. In this study, canola oil, palm oil, and pure oleic acid and linoleic acid, which are the main compounds of vegetable oils, were employed for absorptive removal of benzene, toluene, and phenol. The degree of unsaturation, average molecular weight, and average chain length of solvents were quantitatively characterized. A series of time and temperature-dependent absorption experiments were conducted, and the relationship between oils’ properties and absorption performances was built. Results showed that pure oleic acid had the biggest absorption capacity for benzene and toluene due to the mono-unsaturated structure. Increasing the average molecular weight and chain length also enhanced tar absorption. Moreover, Grey relative analysis was employed to investigate the influence of each factor on tar absorption. The average molecular weight exerted the most significant influence on tar absorption in the tested temperature range whose comprehensive relevance coefficients reached the highest at 0.9810, 0.7669, and 0.7739 for benzene, toluene, and phenol, respectively. This study puts more attention on the nature of vegetable oils, and we hope to provide useful information for modulating a better oil-based scrubber medium and further enhancing tar absorptive removal.

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COSMO-based solvent selection and Aspen Plus process simulation for tar absorptive removal

Cited by 8 publications

References 39 publications

Simulation and Techno-Economic Assessment of Hydrogen Production from Biomass Gasification-Based Processes: A Review

Simulation and Techno-Economic Assessment of Hydrogen Production from Biomass Gasification-Based Processes: A Review

Experimental and Modeling Studies on the Removal of Tars from Coal‐Derived Syngas Using Methyl Oleate

Experimental and Comprehensive Evaluation of Vegetable Oils for Biomass Tar Absorption

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