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An intelligent control of NH3 injection for optimizing the NOx/NH3 ratio in SCR system

Wang, Q; Li, C; Luo, KH; (2018) An intelligent control of NH3 injection for optimizing the NOx/NH3 ratio in SCR system. Journal of the Energy Institute 10.1016/j.joei.2018.10.008. (In press).

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Abstract

The distribution of nitrogen oxides (NOx) flux within the cross-section area in front of ammonia injection grid (AIG) under different operating conditions was obtained by computational fluid dynamics (CFD) method. Weight of NOx flux in the sub-zone corresponding to each of the ammonia (NH3) injection branch-pipes of AIG system was analyzed and the sensitivity of which against the plant power load was figured out. A number of “critical” ammonia injection branch-pipes were determined with regard to the weight sensitivity analysis. The selected “critical” branch-pipes were changed to be controlled by the automatic valves, and an intelligent tuning strategy was proposed. The NOx/NH3 mixing stoichiometry over the cross-section area in front of AIG system was significantly modified for the high utilization ratio of ammonia. A case work was launched on the selective catalytic reduction (SCR) system of a 660 MW plant. As a result, the ammonia consumption rate (ACR) was found to be reduced by 6.44% compared to that under previous control system, and was 9.31% lower than that of the unapplied system. The methodology for determining the “critical” branch-pipes and intelligent tuning strategy of ammonia injection notably saved the ammonia consumption of SCR system, and the formation of ammonium bisulfate (ABS) were greatly confined.

Type: Article
Title: An intelligent control of NH3 injection for optimizing the NOx/NH3 ratio in SCR system
DOI: 10.1016/j.joei.2018.10.008
Publisher version: https://doi.org/10.1016/j.joei.2018.10.008
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: SCR system, NOx flux distribution, Ammonia injection grid, Intelligent control, Ammonium bisulfate
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering
URI: http://discovery.ucl.ac.uk/id/eprint/10067612
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