Flow Field Optimization for Enhanced SCR Denitrification: A Numerical Study of the Chizhou Power Plant Retrofit
Year: 2025
Type: article
Abstract: Denitrification technology in thermal power plants plays a critical role in reducing nitrogen oxide (NOx) emissions, thereby improving air quality and mitigating climate change. This study conducts a numerical simulation of the SCR (Selective Catalytic Reduction) system at the Chizhou Power Plant to optimize its flow field configuration. The original system exhibited severe flow non-uniformity, with local maximum velocities reaching 40 m/s and a velocity deviation coefficient of 28% at the inlet of the first catalyst layer. After optimizing the deflector design, the maximum local velocity was reduced to 21 m/s, and the velocity deviation coefficient decreased to 14.1%. These improvements significantly enhanced flow uniformity, improved catalyst efficiency, and are expected to extend equipment service life. The findings provide a practical reference for the retrofit and performance enhancement of SCR systems in similar coal-fired power plants.
Source: Processes
DOI: 10.3390/pr13072304
Authors: Wendong Wang, Zongming Peng, Sanmei Zhao, Bin Li, Haihua Li, Zhongqian Ling, Maosheng Liu, Guangxue Zhang
Institution: China Jiliang University
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,896
OpenAlex ID: W4412514152
