DeNOx Technology Selection and Optimal Design of SNCR System for a 300MWe CFB Boiler

Wei Gang Huang; Jing Ji Li; Hai Rui Yang

doi:10.4028/www.scientific.net/AMM.492.7

Paper Titles

Preface, Committees and Sponsors

Prediction of Vehicle Fuel Consumption Model Based on Artificial Neural Network
p.3

DeNOx Technology Selection and Optimal Design of SNCR System for a 300MWe CFB Boiler
p.7

Design and Development of 850t/h CFB Boiler with Energy Saving Technology
p.13

Evaluation the Role of Multi-Stage Compression and Waste Heat Recovery on Compressed Air Energy Storage System Performance
p.19

Appropriate Electric Energy Conservation Measures for Big Mosques in Riyadh City
p.24

Bayesian Algorithm Based on Airborne Power Supply System
p.31

Study on the Cooling System of Super-Capacitors for Hybrid Electric Vehicle
p.37

A Charging Management of Electric Vehicles Based on Campus Survey Data
p.43

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 492DeNOx Technology Selection and Optimal Design of...

DeNOx Technology Selection and Optimal Design of SNCR System for a 300MWe CFB Boiler

Abstract:

With the increasing pressure on NO_x removal in China, a part of CFB boilers have to install the deNO_x devices to meet the updated emission regulation. Aiming to the large-scale 300MWe CFB boilers, the existing SCR and SNCR technologies are compared and the SNCR technology using urea as reductant is recommended based on the technical, economic and safety concerns. The design of the SNCR system is also presented. By employing the CFD method, the different urea distributions inside the cyclone are illustrated and the layout of 10 nozzles for each cyclone is optimized to the outer side of cyclone inlet. The technological flow chart of the SNCR system is given to show the whole process of urea storage, transport and injection.

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Periodical:

Applied Mechanics and Materials (Volume 492)

Pages:

7-12

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.492.7

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Online since:

January 2014

Authors:

Wei Gang Huang, Jing Ji Li, Hai Rui Yang

Keywords:

300MWe, CFB, CFD, SCR, SNCR

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