| Title |
A conceptual sorting strategy of municipal solid waste towards efficient gasification |
| ID_Doc |
12193 |
| Authors |
Liang, R; Chen, C; Ge, YD; Tao, JY; Yan, BB; Wang, HD; Wang, KW; Bu, QG; Chen, GY |
| Title |
A conceptual sorting strategy of municipal solid waste towards efficient gasification |
| Year |
2024 |
| Published |
|
| DOI |
10.1016/j.enconman.2024.118209 |
| Abstract |
Gasification is a promising way to convert residual municipal solid waste (RMSW) to high-valued syngas. Waste sorting is helpful to alleviate the heterogeneity problem of waste on gasification. This paper aimed to search for an optimal sorting strategy and evaluate the influence of waste sorting on downstream gasification. A sorting strategy based on elemental composition was proposed and compared with common source and density based strategies. The results validated the enhancement of waste sorting on RMSW gasification, where the elemental composition based strategy showed optimal gasification. The yield of syngas, cold gas efficiency, the lower heating value of syngas and H2/CO were increased by 37.14 %, 38.95 %, 2.18 % and 8.81 %, respectively. It also showed a good effect on the improvement of air gasification compared with the literature, especially for H2/CO. This paper also discussed the economic and environmental potential of the elemental composition based sorting method. The waste sorting can help increase 29,250 RMB/year and reduce CO2 emission by 81 t/year. This method has potential for industrial application. It is suggested that further fast elemental composition characterization technologies and intelligent sorting equipment can be developed. Limitations and future perspectives were discussed from gasification simulation models, more energy utilization technologies, the underlying logic of waste sorting and sustainability evaluation. It is hoped that this work can provide insightful fundamentals to their applications in RMSW sorting, thus benefiting resource recovery and circular economy. |
| Author Keywords |
Municipal solid waste; Sorting; Energy utilization; Machine learning; Elemental composition; Sustainability |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001201857000001 |
| WoS Category |
Thermodynamics; Energy & Fuels; Mechanics |
| Research Area |
Thermodynamics; Energy & Fuels; Mechanics |
| PDF |
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