Pyrolytic characteristics of fine materials from municipal solid waste using TG-FTIR, Py-GC/MS, and deep learning approach: Kinetics, thermodynamics, and gaseous products distribution

Chemosphere ◽  
2022 ◽  
pp. 133533
Author(s):  
Kunsen Lin ◽  
Lu Tian ◽  
Youcai Zhao ◽  
Chunlong Zhao ◽  
Meilan Zhang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Learning Approach ◽  
Gaseous Products

Effects of Gangue on Pyrolysis of Municipal Solid Waste

2013 ◽  
Vol 779-780 ◽  
pp. 1394-1397
Author(s):  
Jin Wei Jia ◽  
Xin Qian Shu ◽  
He Long Hui ◽  
Xing Min Fu ◽  
Shu Cheng Liu ◽  
...  
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Fixed Bed ◽  
Pyrolysis Product ◽  
Char Yield ◽  
Fixed Bed Reactor ◽  
Yield Increase ◽  
Gaseous Products ◽  
Pyrolytic Reaction ◽  
Liquid Yield

To investigate the effects of gangue on pyrolysis of municipal solid waste (MSW), pyrolysis of MSW with gangue has been conducted by TG and fixed-bed reactor, respectively. The effect of gangue on pyrolysis product yields and compositions of gaseous products was investigated and the obtained results were compared with similar experiments without gangue. It was shown that gangue can improve the pyrolytic reaction of MSW, reduce the char yield, increase the liquid yield. And influences of gangue on yields of H2, CO, CH4 and CO2 were more apparent, the yields of H2, CO and CO2 with gangue were improved 12.5%, 11.8% and 175%, respectively, conversely, the yield of CH4 was reduced 15.4% compared with no gangue.

Characteristics of Gaseous Produced from Co-Pyrolysis of Municipal Solid Waste and Corn Stalk

2014 ◽  
Vol 1010-1012 ◽  
pp. 947-951
Author(s):  
Jin Wei Jia ◽  
Ming Yuan Lu ◽  
Yue Fu Yuan ◽  
Lu Liu ◽  
Feng Sheng Yang ◽  
...  
Keyword(s):  
Experimental Study ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Atmospheric Pressure ◽  
Fixed Bed ◽  
Pyrolysis Product ◽  
Fixed Bed Reactor ◽  
Corn Stalk ◽  
Product Yields ◽  
Gaseous Products

An experimental study on co-pyrolysis of municipal solid waste and corn stalk was performed in a fixed-bed reactor under atmospheric pressure. The effect of different blending ratio on the pyrolysis product yields and compositions of the gaseous products was investigated. The results indicated that there exist synergetic effects in the co-pyrolysis of municipal solid waste and corn stalk. Under the different blending ratio conditions, the char and liquid yields were lower than the theoretical values calculated on pyrolysis of each individual municipal solid waste and corn stalk, and consequently the gas yields were higher. H2 and CH4 obtained co-pyrolysis at 800°C-900°C of 40% blending ratio conditions were higher than those of municipal solid waste and corn stalk alone.

Combustion performance of fine screenings from municipal solid waste: Thermo-kinetic investigation and deep learning modeling via TG-FTIR

Energy ◽  
2021 ◽  
pp. 122783
Author(s):  
Lu Tian ◽  
Kunsen Lin ◽  
Youcai Zhao ◽  
Chunlong Zhao ◽  
Qifei Huang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Kinetic Investigation ◽  
Combustion Performance

scholarly journals Combustible Gaseous Products from Pyrolysis of Combustible Fractions of Municipal Solid Waste

2016 ◽  
Vol 42 (3) ◽  
pp. 191-196
Author(s):  
W. K. Buah ◽  
P. T. Williams
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Gaseous Products

scholarly journals Variables Influencing per Capita Production, Separate Collection, and Costs of Municipal Solid Waste in the Apulia Region (Italy): An Experience of Deep Learning

2021 ◽  
Vol 18 (2) ◽  
pp. 752
Author(s):  
Fabrizio Fasano ◽  
Anna Sabrina Addante ◽  
Barbara Valenzano ◽  
Giovanni Scannicchio
Keyword(s):  
Deep Learning ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Circular Economy ◽  
Residential Buildings ◽  
Learning Approaches ◽  
Waste Collection ◽  
Environmental Matrices ◽  
Msw Management ◽  
Per Capita

Municipal solid waste (MSW) must be managed to reduce its impact on environmental matrices and population health as much as possible. In particular, the variables that influence the production, separate waste collection, and costs of MSW must be understood. Although many studies have shown that such factors are specific to an area, the awareness of these factors has created opportunities to implement operations to enable more effective and efficient MSW management services, and to specifically respond to the variables that have the most impact. The deep learning approaches used in this study are effective in achieving this goal and can be used in any other territorial context to ensure that the organizations that deal with these issues are more aware and create useful plans to promote the circular economy. Our findings indicate the important influence of number of rooms in a residential buildings and construction years on MSW production, the combination of services such as municipal collection centers and door-to-door service for separate MSW collection and the characteristics of the residential buildings in the municipalities on MSW management costs.

Municipal solid waste landfills biogas utilization

2019 ◽  
Vol 57 ◽  
pp. 192-202
Author(s):  
A Yurchenko ◽  
◽  
D Kulikova ◽  
E Dmitruk ◽  
L Cheberiachko ◽  
...  
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Municipal Solid Waste Landfills ◽  
Solid Waste Landfills
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