Dioxin Simulation in MSWI Furnace via Zone Segmentation
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Solution Overview
Problem
Current municipal solid waste incineration (MSWI) processes fail to effectively analyze and reduce dioxin-like pollutants, particularly at the outlet of the waste heat boiler, due to incomplete understanding of dioxin generation mechanisms and lack of attention to G1 flue gas in existing numerical simulation models.
Innovation Solution
A simulation analysis system and method that divides the incinerator furnace into solid phase combustion, gas phase combustion, high temperature heat exchange, and low temperature heat exchange zones, using a modular approach with RStoic, RGibbs, RYield, Sep, Fsplit, and Mixer modules for detailed simulation and analysis of dioxin concentration, including single factor and orthogonal test analyses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If numerical simulation models focus only on G3 flue gas detection, then the modeling complexity is reduced, but the ability to analyze dioxin generation mechanism at the waste heat boiler outlet is insufficient
Solution Approach 1:
The simulation model is segmented into multiple zones including the waste heat boiler outlet zone and the chimney outlet zone, allowing separate analysis of dioxin concentrations at different locations. This segmentation enables focused study of G1 flue gas at the waste heat boiler outlet without requiring complete redesign of the entire simulation system.
2Measurement precision
If the incinerator furnace is divided into multiple zones for detailed simulation, then the dioxin generation mechanism analysis is improved, but the device complexity increases
Solution Approach 1:
Different zones within the incinerator furnace are assigned different simulation characteristics and parameters according to their specific functions. For example, the waste heat boiler outlet zone focuses on dioxin formation conditions while other zones address different combustion stages, allowing detailed local analysis without uniformly increasing complexity throughout the entire system.
3Loss of information
If comprehensive simulation of all furnace areas is performed, then the understanding of dioxin combustion and regeneration is improved, but the analysis time and computational resources increase
Solution Approach 1:
The simulation model incorporates preliminary definitions of dioxin formation pathways, combustion reactions, and regeneration mechanisms for each zone before running the actual simulation. This preliminary setup allows the system to efficiently execute comprehensive analyses without requiring excessive computational time during the actual simulation phase.
Data Source
AI summary
A simulation analysis system for dioxin concentration in furnace of municipal solid waste incineration process includes an area division module, the area division module is connected with a numerical simulation module, the numerical simulation module is connected with a single-factor analysis module, the single-factor analysis module includes an orthogonal test analysis module, and the orthogonal test analysis module is connected with a control module; the area division module is used for dividing areas in the incinerator, the numerical simulation module is used for conducting modeling simulation on the divided areas, the single-factor analysis module is used for conducting single-factor analysis according to the output of the numerical simulation module, and the orthogonal test analysis module is used for conducting orthogonal test analysis according to the output of the numerical simulation module.