IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i22p4341-d286920.html
   My bibliography  Save this article

Low Temperature deNOx Catalytic Activity with C 2 H 4 as a Reductant Using Mixed Metal Fe-Mn Oxides Supported on Activated Carbon

Author

Listed:
  • Fang Liu

    (School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China)

  • Li Yang

    (School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China)

  • Jie Cheng

    (School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China)

  • Xin Wu

    (School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China)

  • Wenbin Quan

    (School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China)

  • Kozo Saito

    (Department of Mechanical Engineering, University of Kentucky, Lexington, KY 40503, USA)

Abstract

The selective catalytic reduction of NO x (deNOx) at temperatures less than or at 200 °C was investigated while using C 2 H 4 as the reductant and mixed oxides of Fe and Mn supported on activated carbon; their activity was compared to that of MnOx and FeOx separately supported on activated carbon. The bimetallic oxide compositions maintained high NO conversion of greater than 80–98% for periods that were three times greater than those of the supported monometallic oxides. To examine potential reasons for the significant increases in activity maintenance, and subsequent deactivation, the catalysts were examined by using bulk and surface sensitive analytical techniques before and after catalyst testing. No significant changes in Brunauer-Emmett-Teller (BET) surface areas or porosities were observed between freshly-prepared and tested catalysts whereas segregation of FeOx and MnOx species was readily observed in the mono-oxide catalysts after reaction testing that was not detected in the mixed oxide catalysts. Furthermore, x-ray diffraction and Raman spectroscopy data detected cubic Fe 3 Mn 3 O 8 in both the freshly-prepared and reaction-tested mixed oxide catalysts that were more crystalline after testing. The presence of this compound, which is known to stabilize multivalent Fe species and to enhance oxygen transfer reactions, may be the reason for the high and relatively stable NO conversion activity, and its increased crystallinity during longer-term testing may also decrease surface availability of the active sites responsible for NO conversion. These results point to a potential of further enhancing catalyst stability and activity for low temperature deNOx that is applicable to advanced SCR processing with lower costs and less deleterious side effects to processing equipment.

Suggested Citation

  • Fang Liu & Li Yang & Jie Cheng & Xin Wu & Wenbin Quan & Kozo Saito, 2019. "Low Temperature deNOx Catalytic Activity with C 2 H 4 as a Reductant Using Mixed Metal Fe-Mn Oxides Supported on Activated Carbon," Energies, MDPI, vol. 12(22), pages 1-14, November.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:22:p:4341-:d:286920
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/22/4341/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/22/4341/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Adamczyk, Wojciech P. & Isaac, Benjamin & Parra-Alvarez, John & Smith, Sean T. & Harris, Derek & Thornock, Jeremy N. & Zhou, Minmin & Smith, Philip J. & Żmuda, Robert, 2018. "Application of LES-CFD for predicting pulverized-coal working conditions after installation of NOx control system," Energy, Elsevier, vol. 160(C), pages 693-709.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wu, Haiqian & Kuang, Min & Wang, Jialin & Zhao, Xiaojuan & Yang, Guohua & Ti, Shuguang & Ding, Jieyi, 2020. "Lower-arch location effect on the flow field, coal combustion, and NOx formation characteristics in a cascade-arch, down-fired furnace," Applied Energy, Elsevier, vol. 268(C).
    2. Tuttle, Jacob F. & Blackburn, Landen D. & Andersson, Klas & Powell, Kody M., 2021. "A systematic comparison of machine learning methods for modeling of dynamic processes applied to combustion emission rate modeling," Applied Energy, Elsevier, vol. 292(C).
    3. Darbandi, Masoud & Fatin, Ali & Bordbar, Hadi, 2020. "Numerical study on NOx reduction in a large-scale heavy fuel oil-fired boiler using suitable burner adjustments," Energy, Elsevier, vol. 199(C).
    4. Spinti, Jennifer P. & Smith, Philip J. & Smith, Sean T. & Díaz-Ibarra, Oscar H., 2023. "Atikokan Digital Twin, Part B: Bayesian decision theory for process optimization in a biomass energy system," Applied Energy, Elsevier, vol. 334(C).
    5. Xiao, Guolin & Gao, Xiaori & Lu, Wei & Liu, Xiaodong & Asghar, Aamer Bilal & Jiang, Liu & Jing, Wenlin, 2023. "A physically based air proportioning methodology for optimized combustion in gas-fired boilers considering both heat release and NOx emissions," Applied Energy, Elsevier, vol. 350(C).
    6. Spinti, Jennifer P. & Smith, Philip J. & Smith, Sean T., 2022. "Atikokan Digital Twin: Machine learning in a biomass energy system," Applied Energy, Elsevier, vol. 310(C).
    7. Tang, Zhenhao & Sui, Mengxuan & Wang, Xu & Xue, Wenyuan & Yang, Yuan & Wang, Zhi & Ouyang, Tinghui, 2024. "Theory-guided deep neural network for boiler 3-D NOx concentration distribution prediction," Energy, Elsevier, vol. 299(C).
    8. Chen, Xi & Zhong, Wenqi & Li, Tianyu, 2023. "Fast prediction of temperature and chemical species distributions in pulverized coal boiler using POD reduced-order modeling for CFD," Energy, Elsevier, vol. 276(C).
    9. Lopez-Ruiz, G. & Alava, I. & Urresti, I. & Blanco, J.M. & Naud, B., 2021. "Experimental and numerical study of NOx formation in a domestic H2/air coaxial burner at low Reynolds number," Energy, Elsevier, vol. 221(C).
    10. Michalina Kurkus-Gruszecka & Piotr Krawczyk & Janusz Lewandowski, 2021. "Numerical Analysis on the Flue Gas Temperature Maintenance System of a Solid Fuel-Fired Boiler Operating at Minimum Loads," Energies, MDPI, vol. 14(15), pages 1-14, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:22:p:4341-:d:286920. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.