logo
Language
Bookmarks
Log Out

Journals

Search Sites

Account

© 2022 Steel Science Portal

How to use

Advanced Search

Search Sites

site
site
site
site

Journal of the Japan Institute of Energy Vol. 103 (2024), No. 9

ISIJ International
belloff
ONLINE ISSN: 1882-6121
PRINT ISSN: 0916-8753
Publisher: The Japan Institute of Energy

Backnumber

  1. Vol. 103 (2024)

    1. No.10
    2. No.9
    3. No.8
    4. No.7
    5. No.6
    6. No.5
    7. No.4
    8. No.3
    9. No.2
    10. No.1

  2. Vol. 102 (2023)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  3. Vol. 101 (2022)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  4. Vol. 100 (2021)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  5. Vol. 99 (2020)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  6. Vol. 98 (2019)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  7. Vol. 97 (2018)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  8. Vol. 96 (2017)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  9. Vol. 95 (2016)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  10. Vol. 94 (2015)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  11. Vol. 93 (2014)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  12. Vol. 92 (2013)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  13. Vol. 91 (2012)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  14. Vol. 90 (2011)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  15. Vol. 89 (2010)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  16. Vol. 88 (2009)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  17. Vol. 87 (2008)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  18. Vol. 86 (2007)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  19. Vol. 85 (2006)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  20. Vol. 84 (2005)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  21. Vol. 83 (2004)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  22. Vol. 82 (2003)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.7
    7. No.6
    8. No.5
    9. No.4
    10. No.3
    11. No.2
    12. No.1

  23. Vol. 81 (2002)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.5
    7. No.4
    8. No.3
    9. No.2
    10. No.1

  24. Vol. 80 (2001)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.6
    7. No.5
    8. No.4
    9. No.3
    10. No.2
    11. No.1

  25. Vol. 79 (2000)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.6
    7. No.5
    8. No.4
    9. No.3
    10. No.2
    11. No.1

  26. Vol. 78 (1999)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.6
    7. No.5
    8. No.4
    9. No.3
    10. No.2
    11. No.1

  27. Vol. 77 (1998)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.6
    7. No.5
    8. No.4
    9. No.3
    10. No.2
    11. No.1

  28. Vol. 76 (1997)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.6
    7. No.5
    8. No.4
    9. No.3
    10. No.2
    11. No.1

  29. Vol. 75 (1996)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.6
    7. No.5
    8. No.4
    9. No.3
    10. No.2
    11. No.1

  30. Vol. 74 (1995)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.6
    7. No.5
    8. No.4
    9. No.3
    10. No.2
    11. No.1

  31. Vol. 73 (1994)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.6
    7. No.5
    8. No.4
    9. No.3
    10. No.2
    11. No.1

  32. Vol. 72 (1993)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.6
    7. No.4
    8. No.3
    9. No.2
    10. No.1

  33. Vol. 71 (1992)

    1. No.12
    2. No.11
    3. No.10
    4. No.9
    5. No.8
    6. No.6
    7. No.5
    8. No.4
    9. No.3
    10. No.2
    11. No.1

Keyword Ranking

21 Nov. (Last 30 Days)

Journal of the Japan Institute of Energy Vol. 103 (2024), No. 9

Derivation of Chemical Structural Parameters of High Volatile Coals by Combining 13C-NMR Spectra and Proximate Analysis

Katsuhiko YOKOHAMA, Hiroaki WATANABE

pp. 67-82

DOI:

10.3775/jie.103.67

Abstract

It is important to understand the amount of tar and soot generated in the thermal decomposition process of coal, because it is a factor inhibiting operation in the downsteram process. A reaction analysis method considering the chemical structure of coal based on the Chemical Percolation Devolatilization (CPD) theory has been used to predict the generation amount of pyrolysis gas, but the calculation error was large in the conventional chemical structure estimation method from 13C-NMR spectrum analysis. Therefore, this study aimed to construct a method for selecting chemical structural parameters. First, the CPD-α model was proposed by comparing the proximate volatiles of eight kinds of high-volatile coals with the CPD model calculation results, focusing on the reaction of α carbon connected to the aromatic cluster. Next, a chemical structure estimation method was found in which the chemical shift peak position of the bridgehead carbon was set as a function of aromatic carbon concentration and methylene carbon concentration measured by 13C-NMR spectral analysis. In addition, it was found that the CPD-α model combined with the structure estimation method can accurately evaluate the amount of pyrolysis gas generated in the thermogravimetric analysis and high-pressure flow tube reaction test equipment.

mendeley

Bookmark

Detail

PDF Download

Share it with SNS

Article Title

Derivation of Chemical Structural Parameters of High Volatile Coals by Combining 13C-NMR Spectra and Proximate Analysis

twitter
facebook
mendeley

Bibtex

Ris

Article Access Ranking

21 Nov. (Last 30 Days)

You can use this feature after you logged into the site.
Please click the button below.

Advanced Search

Article Title

Author

Abstract

Journal Title

Year

Please enter the publication date
with Christian era
(4 digits).

Please enter your search criteria.