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Optimization of pyrolysis efficiency based on optical property of semicoke in terahertz region

Author

Listed:
  • Li, Yi Z.
  • Wu, Shi X.
  • Yu, Xiao L.
  • Bao, Ri M.
  • Wu, Zhi K.
  • Wang, Wei
  • Zhan, Hong L.
  • Zhao, Kun
  • Ma, Yue
  • Wu, Jian X.
  • Liu, Shao H.
  • Li, Shu Y.

Abstract

The correlation between pyrolysis conditions and fuel production has been extensively studied. Terahertz parameters, instead of thermal kinetic parameters, were investigated to reveal such interior correlation in this work. Different ventilating rate (V), heating rate (β) and final temperature (T) were controlled in several pyrolysis experiments of oil shale to prepare semicoke with varied amount of oil content, respectively. It was observed that V = 0.6 L/min, β = 15 °C/min and T = 550 °C were the expected conditions to produce fuel. The critical points in terahertz parameter corresponded well with that in oil yield. Intervals where increasing V, β and T contributed to oil yield best can be determined by comparing the trend of absorption index at 0.4, 0.6, 0.8, 1.0 THz. Therefore terahertz parameter of semicoke may characterize the organic matter in semicoke that may convert to additional fuel and terahertz method can be applied to optimize pyrolysis efficiency.

Suggested Citation

  • Li, Yi Z. & Wu, Shi X. & Yu, Xiao L. & Bao, Ri M. & Wu, Zhi K. & Wang, Wei & Zhan, Hong L. & Zhao, Kun & Ma, Yue & Wu, Jian X. & Liu, Shao H. & Li, Shu Y., 2017. "Optimization of pyrolysis efficiency based on optical property of semicoke in terahertz region," Energy, Elsevier, vol. 126(C), pages 202-207.
    • Handle: RePEc:eee:energy:v:126:y:2017:i:c:p:202-207
    DOI: 10.1016/j.energy.2017.03.020
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    References listed on IDEAS

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    1. Jiang, X.M. & Han, X.X. & Cui, Z.G., 2007. "New technology for the comprehensive utilization of Chinese oil shale resources," Energy, Elsevier, vol. 32(5), pages 772-777.
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    1. Qu, Baolin & Wang, Jingxin & Zhu, Hongqing & Hu, Lintao & Liao, Qi, 2024. "Experimental study on evolution and mechanism for dielectric response of different rank coals in terahertz band," Energy, Elsevier, vol. 288(C).
    2. Qu, Baolin & Zhu, Hongqing & Tian, Rui & Hu, Lintao & Wang, Jingxin & Liao, Qi & Gao, Rongxiang & Wang, Haoran, 2023. "Investigation of the impact of pyrite content on the terahertz dielectric response of coals and rapid recognition with kernel-SVM," Energy, Elsevier, vol. 285(C).
    3. Zhan, Honglei & Qin, Fankai & Chen, Sitong & Chen, Ru & Meng, Zhaohui & Miao, Xinyang & Zhao, Kun, 2022. "Two-step pyrolysis degradation mechanism of oil shale through comprehensive analysis of pyrolysis semi-cokes and pyrolytic gases," Energy, Elsevier, vol. 241(C).
    4. Jiang, Haiyan & Liu, Shuai & Wang, Jiao & You, Yuan & Yuan, Shibao, 2023. "Study on evolution mechanism of the pyrolysis of chang 7 oil shale from Ordos basin in China," Energy, Elsevier, vol. 272(C).
    5. Zhan, Honglei & Chen, Mengxi & Zhao, Kun & Li, Yizhang & Miao, Xinyang & Ye, Haimu & Ma, Yue & Hao, Shijie & Li, Hongfang & Yue, Wenzheng, 2018. "The mechanism of the terahertz spectroscopy for oil shale detection," Energy, Elsevier, vol. 161(C), pages 46-51.
    6. Zhan, Honglei & Wang, Yan & Chen, Mengxi & Chen, Ru & Zhao, Kun & Yue, Wenzheng, 2020. "An optical mechanism for detecting the whole pyrolysis process of oil shale," Energy, Elsevier, vol. 190(C).

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