logo
言語
ブックマーク
ログアウト

ジャーナル

論文検索サイト

アカウント

© 2022 Steel Science Portal

ヘルプ

詳細検索

論文検索サイト

site
site
site
site

日本エネルギー学会誌 Vol. 82 (2003), No. 11

ISIJ International
belloff
オンライン版ISSN: 1882-6121
冊子版ISSN: 0916-8753
発行機関: The Japan Institute of Energy

Backnumber

  1. Vol. 103 (2024)

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

キーワードランキング

21 Dec. (Last 30 Days)

日本エネルギー学会誌 Vol. 82 (2003), No. 11

微粉炭粒子の燃焼履歴予測モデルの開発

富永 浩章, 安藤 隆, Hiroaki TOMINAGA, Takashi ANDO

pp. 849-855

DOI:

10.3775/jie.82.849

抄録

This paper describes a model called “FC-CBK” developed to represent the combustion histories of individual coal particles with a minimum amount of laboratory support. The FC-CBK model is a combination model of FLASHCHAIN model, one of the network depolymerization devolatilization models, and CBK8 model, a mechanism for char oxidation that quantitatively represents the latest stages of combustion. Each simulation represents the entire combustion history of particles injected into hot oxidizing gas, including drying, devolatilization, volatiles combustion with energy feedback to the particle, heterogeneous char ignition, thermal annealing, quasi-steady char oxidation with simultaneous reductions in particle density and size, and mineral effects during the char combustion. Whereas these mechanisms involve numerous reaction rate constants and physical properties, all the parameters in FC-CBK model may be specified from the proximate and ultimate analyses of the coals. In this paper, the outline of FC-CBK model, the result of the test predictions and the required input data are described.

他の人はこちらも検索

mendeley

ブックマーク

詳細

PDFダウンロード

SNSによる共有

論文タイトル

微粉炭粒子の燃焼履歴予測モデルの開発

twitter
facebook
mendeley

Bibtex

Ris

燃焼基礎実験炉を用いた燃焼履歴予測モデルFC-CBKの評価

富永 浩章, 小島 紀徳

pp. 856-865

DOI:

10.3775/jie.82.856

抄録

A model called “FC-CBK” is developed to predict the coal burnout profiles in a lot of furnaces. “FC-CBK” combines FLASHCHAIN, one of the network depolymerization devolatilization models, with CBK8, a mechanism for char oxidation that quantitatively represents the latest stages of burnout. Whereas these mechanisms involve numerous reaction rate constants and physical properties, all the parameters in “FC-CBK” may be specified from the coal's proximate and ultimate analyses.
In this study, an evaluation of “FC-CBK” was carried out to compare the predictions with the experimental data in an electrically heated drop-tube furnace. Firstly, the particle temperature histories in this furnace under various conditions were calculated by using a computational fluid dynamic code. Next, the obtained temperature histories were given to “FC-CBK” as the input data of the furnace conditions. Finally, the coal burnout profiles of eight coals were predicted by “FC-CBK” with the above-mentioned procedure. As a result of these verifications, we found “FC-CBK” can predict the accurate coal burnout profiles with giving the particle temperature histories.
The advanced features describing the late stages of burnout are hereby validated in conceptual terms, while the estimation of initial char reactivities still represents a major hurdle to any predictive capabilities based on only the basic coal analyses.

他の人はこちらも検索

mendeley

ブックマーク

詳細

PDFダウンロード

SNSによる共有

論文タイトル

燃焼基礎実験炉を用いた燃焼履歴予測モデルFC-CBKの評価

twitter
facebook
mendeley

Bibtex

Ris

原料炭中の塩素の定量と熱分解過程における原料炭中塩素の挙動

野村 誠治, 加藤 健次, 前野 幸彦

pp. 866-873

DOI:

10.3775/jie.82.866

抄録

Chlorine content of bituminous coal was determined and its behavior during carbonization was investigated. The chlorine content in the metallurgical coals used in this experiment was between 100 and 1, 500ppm. Most chlorine in coal and coke was removed by washing with water. CaO addition to coal increased the chlorine residue ratio in coke. The residue ratio of chlorine in coke increased with increasing Ca content in coal. This is considered because chlorine in coal is released as HCl, which is trapped in coke again in the form of CaCl2. The chlorine residue ratio of coke produced in actual coke oven was higher than that of coke produced in laboratory scale tube furnace. This is considered because released gas from coal has more chances to contact with calcium in the actual coke oven than in the tube furnace. Furthermore the removal of chlorine from NaCl was promoted by co-carbonization of NaCl with coal. This implies that H2O derived from coal decomposition may help chlorine to be released.

他の人はこちらも検索

mendeley

ブックマーク

詳細

PDFダウンロード

SNSによる共有

論文タイトル

原料炭中の塩素の定量と熱分解過程における原料炭中塩素の挙動

twitter
facebook
mendeley

Bibtex

Ris

論文アクセスランキング

21 Dec. (Last 30 Days)

この機能はログイン後に利用できます。
下のボタンをクリックしてください。

詳細検索

論文タイトル

著者

抄録

ジャーナル名

年

出版日を西暦で入力してください（4桁の数字）。

検索したいキーワードを入力して下さい