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Atmosphere
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Selective Catalytic Reduction (SCR) of NOx
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Selective Catalytic Reduction (SCR) of NOx

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Air Pollution Control".

Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 5103

Special Issue Editor

Dr. Jun Zhao

E-Mail Website
Guest Editor
Department of Biology, Institute of Advanced Materials, Hong Kong Baptist University, Hong Kong, China
Interests: biomass conversion; heterogeneous catalysis; clean energy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Nitrogen oxide (NOx) is one of the main pollutants in the atmosphere, and can cause environmental problems such as photochemical smog and acid rain. NOx mainly comes from coal combustion in power plants and automobile exhaust. NOx’s selective catalytic reduction (SCR) is an effective technology for removing NOx, and has been widely used. However, this technology also faces some problems, such as the danger and inconvenience when using NH3 as a reducing agent, and the potential threat to the environment caused by the toxicity of the catalyst. In recent years, researchers have developed various reducing agents and catalysts to improve the reduction efficiency of NOx while reducing catalyst costs and environmental risks. At the same time, efforts were also devoted to in-depth research on the catalytic mechanism of NOx SCR. This Special Issue welcomes both review and original research articles on the SCR of NOx, including but not limited to the following topics:

  • Advances in NOx SCR catalysts;
  • Advances in the study of NOx reaction mechanisms;
  • Recent advances in NOx SCR process control;
  • Technology innovation related with NOx SCR;
  • Life cycle assessment of NOx SCR.

Dr. Jun Zhao
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • NOx
  • Selective catalytic reduction
  • catalysis

Published Papers (2 papers)

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Research

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14 pages, 3657 KiB  
Article
Prediction of NOx Concentration at SCR Inlet Based on BMIFS-LSTM
by Meiyan Song, Jianzhong Xue, Shaohua Gao, Guodong Cheng, Jun Chen, Haisong Lu and Ze Dong
Atmosphere 2022, 13(5), 686; https://doi.org/10.3390/atmos13050686 - 25 Apr 2022
Cited by 13 | Viewed by 1921
Abstract
As the main energy source for thermal power generation, coal generates a large amount of NOx during its incineration in boilers, and excessive NOx emissions can cause serious pollution to the air environment. Selective catalytic reduction denitrification (SCR) selects the optimal amount of [...] Read more.
As the main energy source for thermal power generation, coal generates a large amount of NOx during its incineration in boilers, and excessive NOx emissions can cause serious pollution to the air environment. Selective catalytic reduction denitrification (SCR) selects the optimal amount of ammonia to be injected for denitrification based on the measurement of NOx concentration by the automatic flue gas monitoring system. Since the automatic flue gas monitoring system has a large delay in measurement, it cannot accurately reflect the real-time changes of NOx concentration at the SCR inlet when the unit load fluctuates, leading to problems such as ammonia escape and NOx emission exceeding the standard. In response to these problems, this paper proposes an SCR inlet NOx concentration prediction algorithm based on BMIFS-LSTM. An improved mutual information feature selection algorithm (BMIFS) is used to filter out the auxiliary variables with maximum correlation and minimum redundancy with NOx concentration, and reduce the coupling and dimensionality among the variables in the data set. The dominant and auxiliary variables are then fed together into a long short-term memory neural network (LSTM) to build a prognostic model. Simulation experiments are conducted using historical operation data of a 300 MW thermal power unit. The experimental results show that the algorithm in this paper reduces the average relative error by 3.45% and the root mean square error by 1.50 compared with the algorithm without auxiliary variable extraction, which can accurately reflect the real-time changes of NOx concentration at the SCR inlet, solve the problem of delay in NOx concentration measurement, and reduce the occurrence of atmospheric pollution caused by excessive NOx emissions. Full article
(This article belongs to the Special Issue Selective Catalytic Reduction (SCR) of NOx)
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11 pages, 2238 KiB  
Perspective
Progress in Metal-Organic Framework Catalysts for Selective Catalytic Reduction of NOx: A Mini-Review
by Yuan Gao, Si-Yan Gong, Baixiao Chen, Wen-Hao Xing, Yan-Fei Fei, Zhong-Ting Hu and Zhiyan Pan
Atmosphere 2022, 13(5), 793; https://doi.org/10.3390/atmos13050793 - 13 May 2022
Cited by 5 | Viewed by 2435
Abstract
Nitrogen oxides released from the combustion of fossil fuels are one of the main air pollutants. Selective catalytic reduction technology is the most widely used nitrogen oxide removal technology in the industry. With the development of nanomaterials science, more and more novel nanomaterials [...] Read more.
Nitrogen oxides released from the combustion of fossil fuels are one of the main air pollutants. Selective catalytic reduction technology is the most widely used nitrogen oxide removal technology in the industry. With the development of nanomaterials science, more and more novel nanomaterials are being used as catalysts for the selective reduction of nitrogen oxides. In recent years, metal-organic frameworks (MOFs), with large specific surface areas and abundant acid and metal sites, have been extensively studied in the selective catalytic reduction of nitrogen oxides. This review summarizes recent progress in monometallic MOFs, bimetallic MOFs, and MOF-derived catalysts for the selective catalytic reduction of nitrogen oxides and compares the reaction mechanisms of different catalysts. This article also suggests the advantages and disadvantages of MOF-based catalysts compared with traditional catalysts and points out promising research directions in this field. Full article
(This article belongs to the Special Issue Selective Catalytic Reduction (SCR) of NOx)
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