IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i2p334-d477451.html
   My bibliography  Save this article

A Model for Predicting Arsenic Volatilization during Coal Combustion Based on the Ash Fusion Temperature and Coal Characteristic

Author

Listed:
  • Bo Zhao

    (Hubei Provincial Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources, Wuhan University of Science and Technology, Wuhan 430081, China)

  • Geng Chen

    (Hubei Provincial Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources, Wuhan University of Science and Technology, Wuhan 430081, China)

  • Zijiang Xiong

    (Hubei Provincial Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources, Wuhan University of Science and Technology, Wuhan 430081, China)

  • Linbo Qin

    (Hubei Provincial Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources, Wuhan University of Science and Technology, Wuhan 430081, China)

  • Wangsheng Chen

    (Hubei Provincial Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources, Wuhan University of Science and Technology, Wuhan 430081, China)

  • Jun Han

    (Industrial Safety Engineering Technology Research Center of Hubei Province, Wuhan University of Science and Technology, Wuhan 430081, China)

Abstract

Arsenic emission from coal combustion power plants has attracted increasing attention due to its high toxicity. In this study, it was found that there was a close relationship between the ash fusion temperature (AFT) and arsenic distribution based on the thermodynamic equilibrium calculation. In addition to the AFT, coal characteristics and combustion temperature also considerably affected the distribution and morphology of arsenic during coal combustion. Thus, an arsenic volatilization model based on the AFT, coal type, and combustion temperature during coal combustion was developed. To test the accuracy of the model, blending coal combustion experiments were carried out. The experimental results and published data proved that the developed arsenic volatilization model can accurately predict arsenic emission during co-combustion, and the errors of the predicted value for bituminous and lignite were 2.3–9.8%, with the exception of JingLong (JL) coal when combusted at 1500 °C.

Suggested Citation

  • Bo Zhao & Geng Chen & Zijiang Xiong & Linbo Qin & Wangsheng Chen & Jun Han, 2021. "A Model for Predicting Arsenic Volatilization during Coal Combustion Based on the Ash Fusion Temperature and Coal Characteristic," Energies, MDPI, vol. 14(2), pages 1-11, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:334-:d:477451
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/2/334/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/2/334/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Oksana Marinina & Marina Nevskaya & Izabela Jonek-Kowalska & Radosław Wolniak & Mikhail Marinin, 2021. "Recycling of Coal Fly Ash as an Example of an Efficient Circular Economy: A Stakeholder Approach," Energies, MDPI, vol. 14(12), pages 1-21, June.
    2. Jaroslaw Krzywanski & Wojciech Nowak & Karol Sztekler, 2022. "Novel Combustion Techniques for Clean Energy," Energies, MDPI, vol. 15(13), pages 1-3, June.

    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:14:y:2021:i:2:p:334-:d:477451. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.