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Research and proposal on selective catalytic reduction reactor optimization for industrial boiler
Yiming Yang1,2,3, Jian Li1, Hong He1
1a Key Laboratory of Beijing on Regional Air Pollution Control , Beijing University of Technology , Beijing , People's Republic of China.
Journal of the Air & Waste Management Association (1995)
|August 25, 2017
Summary
This study optimized selective catalytic reduction (SCR) reactors for boiler denitrification (De-NOx) using CFD simulations. Reactor 2 and Ammonia Injection Grid 3 demonstrated superior performance, improving efficiency and simplifying development.
Area of Science:
- Chemical Engineering
- Environmental Engineering
- Computational Fluid Dynamics
Background:
- Boiler denitrification (De-NOx) is crucial for reducing harmful emissions.
- Selective Catalytic Reduction (SCR) is a key technology for De-NOx processes.
- Optimizing SCR reactor design and ammonia injection is essential for efficiency.
Purpose of the Study:
- To simulate and optimize a boiler De-NOx project using advanced CFD software.
- To develop and compare two SCR reactors, focusing on performance enhancements.
- To investigate and select the most effective Ammonia Injection Grid (AIG) design.
Main Methods:
- Utilized STAR-CCM+ software for computational fluid dynamics (CFD) simulations.
- Developed and analyzed two SCR reactors, with Reactor 2 based on an optimized Reactor 1.
- Designed, simulated, and compared three different Ammonia Injection Grids (AIGs).
Main Results:
- Reactor 2 exhibited outstanding performance compared to Reactor 1, simplifying development.
- AIG 3 demonstrated the best performance among the tested grids.
- Key performance indicators like gas flow, ammonia concentration, and temperature distribution were analyzed.
Conclusions:
- Reactor 2 and AIG 3 significantly enhance SCR reactor performance for De-NOx applications.
- The developed AIG 3 meets ammonia concentration targets without an ammonia mixer.
- The study proposes technical indicators for SCR reactor development with high application value.
