Unveiling dioxin dynamics: A whole-process simulation study of municipal solid waste incineration

被引:4
|
作者
Xia, Heng [1 ,2 ]
Tang, Jian [1 ,2 ]
Aljerf, Loai [3 ,4 ]
Chen, Jiakun [1 ,2 ]
机构
[1] Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
[2] Beijing Lab Smart Environm Protect, Beijing 100124, Peoples R China
[3] Al Sham Private Univ, Fac Pharm, Damascus 5910011, Syria
[4] Univ Findlay, Dept Phys Sci, Coll Sci, 1000 N Main St, Findlay, OH 45840 USA
关键词
Municipal solid waste incineration (MSWI); Dioxins (DXN); Generation; adsorption and emission; Mechanism model; Numerical simulation model; PCDD/F; CHLOROPHENOLS; COMBUSTION; MECHANISM; PATHWAY;
D O I
10.1016/j.scitotenv.2024.176241
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Theoretical research has explained the process of dioxin (DXN) formation in the municipal solid waste incineration (MSWI). This process includes the generation, adsorption, and emission of DXN. Actual DXN concentrations often significantly deviate from theoretical models. This discrepancy is influenced by several key factors: the type of integrated municipal solid waste (MSW) treatment process, the characteristics of the waste, and the operational controls. The progression of DXN generation, adsorption, and emission concentrations within the MSWI process remains unclear. This lack of clarity is especially pronounced when examining the accounting for the specific components of the MSW. To unravel the evolution of DXN, this article proposes a comprehensive numerical simulation model for the entire process of DXN concentration in an MSWI plant. The model is designed based on existing knowledge of MSW combustion and DXN mechanisms, leveraging FLIC and ASPEN simulation software. It incorporates six key stages to facilitate the DXN simulation: precipitation and formation, high- temperature pyrolysis, high-temperature gas-phase synthesis, low-temperature catalytic synthesis, adsorption on activated carbon, and emission to the atmosphere. Under both benchmark and multiple operating conditions, the simulated experiments confirm the effective representation of the evolution of DXN concentrationsthroughout the process. Consequently, this study presents a model designed to enhance the development of strategies aimed at reducing DXN emissions and to foster innovation in intelligent control technologies.
引用
收藏
页数:25
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