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Automated, High-resolution Mobile Collection System for the Nitrogen Isotopic Analysis of NOx
Published on: December 20, 2016
Control of combustion-generated nitrogen oxides by selective non-catalytic reduction
M Tayyeb Javed1, Naseem Irfan, B M Gibbs
1Department of Chemical and Materials Engineering, Pakistan Institute of Engineering and Applied Sciences, P.O. Nilore, Islamabad, Pakistan. m.t.javed@pieas.edu.pk
Journal of Environmental Management
|July 18, 2006
Summary
Controlling nitrogen oxides (NOx) requires advanced techniques like selective non-catalytic reduction (SNCR). This review examines SNCR using ammonia, urea, and cyanuric acid, alongside complementary methods for efficient NOx removal.
Area of Science:
- Environmental Science
- Chemical Engineering
- Combustion Science
Background:
- Increasingly strict emission limits necessitate advanced nitrogen oxides (NOx) control technologies.
- Selective Non-Catalytic Reduction (SNCR) has emerged as a key NOx abatement strategy.
- This review focuses on SNCR and its comparative advantages.
Purpose of the Study:
- To provide a comprehensive review of NOx removal techniques, with a focus on SNCR.
- To analyze various reducing agents used in SNCR, including ammonia, urea, and cyanuric acid.
- To explore SNCR integration with other NOx control methods and future research directions.
Main Methods:
- Review of SNCR technology, including its emergence and comparison with alternatives.
- Analysis of gas-phase injection of ammonia, ammonium salts, urea solution, and cyanuric acid.
- Examination of reaction mechanisms, computational fluid dynamics (CFD) modeling, and coupled techniques.
Main Results:
- Detailed review of SNCR performance with different reducing agents (ammonia, urea, cyanuric acid).
- Discussion of reaction mechanisms and CFD modeling applications in SNCR.
- Exploration of combined SNCR strategies and two-stage NOx removal for enhanced efficiency.
Conclusions:
- SNCR is a viable NOx control technology with various reducing agent options.
- Coupling SNCR with other methods and advanced modeling can optimize performance.
- Further research is needed in specific areas to enhance overall NOx removal efficiency.
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