Simulation of Syngas Production from Municipal Solid Waste Gasification in a Bubbling Fluidized Bed Using Aspen Plus

2013 ◽  
Vol 52 (42) ◽  
pp. 14768-14775 ◽  
Author(s):  
Miaomiao Niu ◽  
Yaji Huang ◽  
Baosheng Jin ◽  
Xinye Wang
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Fluidized Bed ◽  
Aspen Plus ◽  
Syngas Production ◽  
Bubbling Fluidized Bed ◽  
Waste Gasification

Hydrogen-rich syngas production from municipal solid waste gasification through the application of central composite design: An optimization study

2020 ◽  
Vol 45 (58) ◽  
pp. 33260-33273
Author(s):  
Guanyi Chen ◽  
Imtiaz Ali Jamro ◽  
Saleem Raza Samo ◽  
Terrence Wenga ◽  
Humair Ahmed Baloch ◽  
...  
Keyword(s):  
Municipal Solid Waste ◽  
Central Composite Design ◽  
Solid Waste ◽  
Syngas Production ◽  
Optimization Study ◽  
Waste Gasification ◽  
Central Composite

scholarly journals Artificial neural network based modelling approach for municipal solid waste gasification in a fluidized bed reactor

2016 ◽  
Vol 58 ◽  
pp. 202-213 ◽  
Author(s):  
Daya Shankar Pandey ◽  
Saptarshi Das ◽  
Indranil Pan ◽  
James J. Leahy ◽  
Witold Kwapinski
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Fluidized Bed ◽  
Fluidized Bed Reactor ◽  
Artificial Neural ◽  
Waste Gasification ◽  
Modelling Approach

Simulation of municipal solid waste gasification for syngas production in fixed bed reactors

2010 ◽  
Vol 11 (8) ◽  
pp. 619-628 ◽  
Author(s):  
Chong Chen ◽  
Yu-qi Jin ◽  
Jian-hua Yan ◽  
Yong Chi
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Fixed Bed ◽  
Syngas Production ◽  
Fixed Bed Reactors ◽  
Waste Gasification

Nitrogen evolution during the co-combustion of hydrothermally treated municipal solid waste and coal in a bubbling fluidized bed

2014 ◽  
Vol 34 (1) ◽  
pp. 79-85 ◽  
Author(s):  
Liang Lu ◽  
Yuqi Jin ◽  
Hongmei Liu ◽  
Xiaojun Ma ◽  
Kunio Yoshikawa
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Fluidized Bed ◽  
Bubbling Fluidized Bed ◽  
Nitrogen Evolution

scholarly journals A Numerical Investigation of Municipal Solid Waste Gasification Using Aspen Plus

2014 ◽  
Vol 90 ◽  
pp. 710-717 ◽  
Author(s):  
Sharmina Begum ◽  
M.G. Rasul ◽  
Delwar Akbar
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Numerical Investigation ◽  
Aspen Plus ◽  
Waste Gasification

scholarly journals Simulation of biomass and municipal solid waste pellet gasification using Aspen Plus

2021 ◽  
Vol 1192 (1) ◽  
pp. 012023
Author(s):  
A D D Diallo ◽  
M F R Alkhatib ◽  
M Z Alam ◽  
M Mel
Keyword(s):  
Sensitivity Analysis ◽  
Moisture Content ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Equivalence Ratio ◽  
Energy Content ◽  
Aspen Plus ◽  
Syngas Production ◽  
Gasification Process ◽  
Gasification Temperature

Abstract The work deals with the simulation of biomass and municipal solid waste pellet gasification using Aspen Plus software. The effects of key parameters on the composition of the emitted gas are discussed, including gasification temperature, moisture content, and equivalence ratio. The sensitivity analysis was studied with the Aspen Plus Software, which includes FORTRAN modules. The simulation is validated using experimental results, which revealed that it was roughly correct. Using air as the gasification agent, the sensitivity analysis findings confirm higher temperatures promote syngas production with increased hydrogen and energy content. The simulation results demonstrated that CO2 concentration (3.95%) increases from 450°C to 600°C and then decreased drastically near 0.225kmol/hr. at 900°C. As the gasification temperature rises from 450°C to 900°C, the CO concentration rises and the H2: CO ratio falls. At 900°C, increasing the gasification temperature results in a product gas with more H2 (65%) and CO (12.43%), resulting in a higher calorific value, whereas the contents of CH4, CO2, and H2O followed an inverse correlation. CH4 decreased with temperature because of the formation of exothermic methane reactions. When the gasification process reaches 800°C, all components except CO2 become steady, and gasification reactions were achieved. The equivalence ratio (ER) ranged from 0.2 to 0.3. The gas produced by a gasifier is highly dependent on the ER value. The ER determines the gas quality, and it must be less than 1 to ensure that it gasifies the fuel rather than burnt. Moisture content was 10wt. %, this is an essential parameter for the optimum conditions during the gasification process. Moisture content determines the gas characteristics at the exit phase. The model predictions and calculated values are in good agreement.

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