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Effect of spray operation conditions on Nox emission control in a power station
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0002-2978-6217
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-8466-356X
2023 (English)In: Chemical engineering research & design, ISSN 0263-8762, E-ISSN 1744-3563, Vol. 191, p. 214-225Article in journal (Refereed) Published
Abstract [en]

Adequately mixing of reactants is an important factor for efficient deNOx process in power station NOx emission control system. In this study, an experimental validated CFD simulation is conducted to investigate the effect of spray operation conditions on the mixing uniformity of reactant ammonia vapor in deNOx process occurring in a power station's furnace. According to the CFD simulation results, it is found that spray momentum ratio, initial droplet size and initial ammonia concentration all affect the mixing uniformity of ammonia vapor. Overall, a larger spray momentum ratio, larger initial droplet size and lower ammonia concentration contributes positively to the mixing uniformity. By comparing the same spray momentum ratio but different nozzle inlet velocity and furnace inlet velocity, it is found that the impact of spray momentum ratio mainly comes from furnace inlet velocity not nozzle inlet velocity. In addition, gravity should not be neglected. In the end, the method described in this study could provide a systematic way to study the effects of nozzle operation conditions on deNOx process.

Place, publisher, year, edition, pages
Institution of Chemical Engineers , 2023. Vol. 191, p. 214-225
Keywords [en]
Ammonia, CFD, NOx emission, Power station, Spray, Drops, Emission control, Furnaces, Inlet flow, Mixing, Momentum, Spray nozzles, Ammonia vapors, CFD simulations, Inlet velocity, Mixing uniformities, Momentum ratio, NOx emissions, Operation conditions, Spray momentum
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-61797DOI: 10.1016/j.cherd.2023.01.013ISI: 000926870700001Scopus ID: 2-s2.0-85146913261OAI: oai:DiVA.org:mdh-61797DiVA, id: diva2:1735249
Available from: 2023-02-08 Created: 2023-02-08 Last updated: 2023-03-01Bibliographically approved

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Zhou, JialeAslanidou, IoannaKyprianidis, Konstantinos

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