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Updated: Mar 1, 2026

Ammonia Synthesis at Low Pressure
Published on: August 23, 2017
Numerical analysis of ammonia homogenization for selective catalytic reduction application
Jakov Baleta1, Matija Martinjak2, Milan Vujanović1
1Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lučića 5, 10 002, Zagreb, Croatia.
Selective catalytic reduction (SCR) using urea effectively reduces nitrogen oxides (NOx) from diesel engines. Optimizing urea injection and droplet size is key to minimizing ammonia slip and improving SCR system efficiency.
Area of Science:
- Chemical Engineering
- Environmental Science
- Automotive Engineering
Background:
- Selective Catalytic Reduction (SCR) using urea water solution is vital for NOx abatement in mobile diesel engines.
- The SCR process involves urea injection, thermolysis into ammonia, and NOx reduction over a catalyst.
- Optimizing ammonia uniformity and minimizing ammonia slip are critical design challenges.
Purpose of the Study:
- To demonstrate a developed mathematical framework for simulating the SCR process.
- To analyze ammonia generation, NOx reduction, and ammonia slip in a real SCR reactor.
- To investigate the impact of injection direction and droplet size on SCR performance.
Main Methods:
- Implementation of a mathematical framework in AVL FIRE® CFD software.
- Simulation of physical processes including urea droplet heating, evaporation, and thermolysis.
- 3D modeling of a real SCR reactor to predict key performance indicators.
Main Results:
- The study highlights the significant influence of droplet size on SCR process efficiency.
- Counterflow injection of urea was found to be beneficial for minimizing ammonia slip.
- The CFD model successfully predicted ammonia generation, NOx reduction, and ammonia slip.
Conclusions:
- Droplet size is a critical parameter for optimizing SCR systems.
- Counterflow injection strategies enhance SCR performance by reducing environmental ammonia release.
- The developed CFD framework provides a valuable tool for designing efficient deNOx systems.
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