Air co-gasification of coal and dried sewage sludge in a two-stage gasifier: Effect of blending ratio on the producer gas composition and tar removal

Jeong, Yong-Seong; Choi, Young-Kon; Park, Ki-Bum; Kim, Joo-Sik

doi:10.1016/j.energy.2019.07.093

Cited by 50 publications

(18 citation statements)

References 40 publications

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“…In accordance with this information, an extensive literature review is carried out in order to find appropriate data to train the ANN [3,9,16,[32][33][34][35][36][37][38][39][40][41][42][43][44]. In total, 120 datasets are selected for this work, being 56 for tar protocol samples, 47 for gravimetric samples and 17 for SPA samples.…”

Section: Ann Design and Data Collectionmentioning

confidence: 99%

Tar prediction in bubbling fluidized bed gasification through artificial neural networks

Serrano

Castelló

2020

Chemical Engineering Journal

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Section: Ann Design and Data Collectionmentioning

confidence: 99%

Tar prediction in bubbling fluidized bed gasification through artificial neural networks

Serrano

Castelló

2020

Chemical Engineering Journal

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“…However, hydrogen produced from coal through coal gasification technology is considered a promising opportunity due to widely available and inexpensive coal resources (Milbrandt and Mann, 2009;Minchener, 2013). Coal gasification technology is a multiphase reaction technology that involves: pyrolysis or devolatilization, coal gasification, gas clean-up or heat recovery, water gas shift reaction, and hydrogen separation (Xu et al, 2014;Jeong et al, 2019;and Zhang et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Modelling And Simulation Of Hydrogen Production Plant for Minimum Carbon Dioxide Emission

Olanrewaju

Oboh²,

Adesina³

et al. 2023

J. Eng. Exact Sci.

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The use of coal as a source of energy for hydrogen production is desirable because it is widely available, inexpensive, and guarantees long-term availability compared to natural gas. In this study, modeling and simulation of a hydrogen production plant from coal gasification was carried out. The study also optimized process variables affecting hydrogen production for minimum carbon dioxide emissions. Modeling and simulation of a hydrogen plant was carried out using ASPEN One Suites Ver. 11 software, while optimization of process variables was done using response surface methodology (RSM). Central Composite Design (CCD) was used to design the process variables such as carbon ratio (0.715-0.75), gasification temperature (1023.15 –1223.15 K), and pressure (1-3 MPa). The independent variables for hydrogen generation and carbon dioxide emissions (CO2e-) were correlated using a quadratic model The coal gasification parameters were optimized numerically using the desirability function to maximize the hydrogen produced and minimize the CO2e-. The results reveal that gasification temperature has a greater effect on maximizing hydrogen production and carbon dioxide emission (CO2e-) reduction. Results also showed the optimal conditions for minimizing the cost and maximizing the hydrogen production: a gasification temperature of 1223.15 K, an oxygen to coal ratio of 0.715, and a gasification pressure of 1 MPa. Keywords: Hydrogen production, optimization, ASPEN, gasification, RSM, Coal Energy.

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“…Coal gasification technology is a multiphase reaction technology involving both gaseous phase and solid phase reactions [8][9][10][11]. This implies complex interaction of pyrolysis, heterogeneous reactions of carbon with O 2 , CO 2 , and H 2 O, and homogeneous reactions [12].…”

Section: Introductionmentioning

confidence: 99%

“…For example, Jeong et al [30] studied the two-stage gasification of biomass via active carbon, for the sake of enhancing the hydrogen production and lowering tar production using lab-scale and pilot-scale experimental systems. They also evaluated the co-gasification performance of coal and dried sewage sludge [10]. Jahromi et al [31] developed a CFD model for biomass gasification and syngas formation.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on Coal Gasification in a Full-Scale Two-Stage Entrained-Flow Gasifier

Wang

et al. 2020

Energies

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In this paper, coal gasification characteristics in the reductor were investigated in a full-scale two-stage pressurized entrained-flow gasifier, which has been seldom conducted previously. The present study aimed at elucidating the effects of gasifying agent concentration, coal input rate, and operation period under full reductor load on the performance of a utility two-stage pressurized entrained-flow gasifier for the first time. When the steam input in the combustor was raised from 3318 kg/h to 5722 kg/h, the total outputs of H2, CO, and CO2 were increased by 1765 Nm3/h and 2063 Nm3/h, respectively, while the CH4 output was decreased by 49 Nm3/h. The coal conversion rate was minimal at low steam input. In addition, more coal gasified in the reductor could increase the output of CH4, while CH4 could reach 1.24% with the coal input in the range of 8000–10,000 kg/h. The present work can offer a further understanding of the gasification performance in the reductor of the full-scale two-stage pressurized entrained-flow gasifier, and motivates the potential for clean utilization of coal resource.

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Air co-gasification of coal and dried sewage sludge in a two-stage gasifier: Effect of blending ratio on the producer gas composition and tar removal

Cited by 50 publications

References 40 publications

Tar prediction in bubbling fluidized bed gasification through artificial neural networks

Tar prediction in bubbling fluidized bed gasification through artificial neural networks

Modelling And Simulation Of Hydrogen Production Plant for Minimum Carbon Dioxide Emission

Experimental Study on Coal Gasification in a Full-Scale Two-Stage Entrained-Flow Gasifier

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