Xia Heng, Tang Jian, Aljerf Loai, Chen Jiakun
Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China; Beijing Laboratory of Smart Environmental Protection, Beijing 100124, China.
Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China; Beijing Laboratory of Smart Environmental Protection, Beijing 100124, China.
Sci Total Environ. 2024 Dec 1;954:176241. doi: 10.1016/j.scitotenv.2024.176241. Epub 2024 Sep 18.
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 concentrations throughout 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.
理论研究已经解释了城市固体废物焚烧(MSWI)中二噁英(DXN)的形成过程。这个过程包括DXN的生成、吸附和排放。实际的DXN浓度往往与理论模型有显著偏差。这种差异受到几个关键因素的影响:城市固体废物(MSW)综合处理工艺的类型、废物的特性以及运行控制。MSWI过程中DXN生成、吸附和排放浓度的变化情况仍不清楚。在研究MSW特定成分的核算时,这种不明确性尤为明显。为了揭示DXN的演变过程,本文提出了一个针对MSWI厂DXN浓度全过程的综合数值模拟模型。该模型基于MSW燃烧和DXN生成机制的现有知识设计,利用FLIC和ASPEN模拟软件。它包含六个关键阶段以促进DXN模拟:析出与生成、高温热解、高温气相合成、低温催化合成、在活性炭上的吸附以及向大气排放。在基准和多种运行条件下,模拟实验证实了该模型能够有效呈现整个过程中DXN浓度的演变情况。因此,本研究提出了一个旨在加强减少DXN排放策略的制定以及推动智能控制技术创新的模型。