Abstract

Selective catalytic reduction (SCR) is one of the most efficient methods to reduce NOx emissions from coal-fired power plants. This paper deals with an optimal design tower type SCR-deNOx facility for a 1000 MW coal-fired power plant. Combined with computational fluid dynamics (CFD), the configuration of the baffles geometry was studied with spatial constraints. Flow field was regulated at the ammonia injection grid (AIG) with the dual aim of reducing difficulties in implementing the non-uniformed ammonia (NH3) injection strategy and achieving a more homogeneous distribution at the catalyst entrance. A flow model test (FMT) was carried out at a laboratory scale to verify the design results. The results of the flow model test are in good agreement with the computational fluid dynamics. It is indicated that small-sized baffles are recommended for installation at the upstream side of the facility as the optimal design and ability to regulate the flow field at the ammonia injection grid makes it an effective way to deal with spatial constraints. This paper provides a good reference for optimizing the tower type SCR-deNOx facilities with spatial constraints.

Highlights

  • Emission of nitrogen oxides (NOx ) will lead to severe environmental problems

  • Regulating the flow field at the ammonia injection grid (AIG) is proven to be an effective way to deal with spatial constraints

  • Baffles geometry and the non-uniformed ammonia injection strategy are performed via computational fluid dynamics

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Summary

Introduction

Emission of nitrogen oxides (NOx ) will lead to severe environmental problems. NOx is considered to be responsible for the formation of photochemical smog, acid rain, tropospheric ozone, ozone layer depletion, and a variety of health problems for human beings [1,2,3]. NOx reduction efficiency and low NH3 slip, optimal design of the flow field and non-uniformed NH3 injection strategy should be carried out for the SCR-deNOx facilities [14]. Many studies have been conducted on the optimization of flow field for the π type SCR-deNOx facilities. Research on the optimal design of the tower type SCR-deNOx facilities are scarce. With an increasing number of tower type SCR-deNOx facilities [20,21], it is necessary to implement flow regulation and ensure optimal design. Computational fluid dynamics (CFD) simulation is nowadays commonly applied to the flow field regulation of SCR-deNOx facilities [22,23]. A flow model test (FMT) is carried out to verify the CFD simulation results This may provide an effective approach to optimize the tower type

Facility Optimization
CFD Simulation
FMT Validation
Results and Discussion
Conclusions
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