IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v261y2022ipas0360544222021260.html
   My bibliography  Save this article

Research on the co-pyrolysis of coal slime and lignin based on the combination of TG-FTIR, artificial neural network, and principal component analysis

Author

Listed:
  • Ni, Zhanshi
  • Bi, Haobo
  • Jiang, Chunlong
  • Sun, Hao
  • Zhou, Wenliang
  • Qiu, Zhicong
  • He, Liqun
  • Lin, Qizhao

Abstract

Confronted with the shortage of fossil energy, the large inventory and the serious pollution of industrial solid waste, the development of clean and efficient industrial solid waste disposal methods have become a trend. In this study, Thermogravimetric-Fourier transform infrared spectrometry was utilized to carry out the co-pyrolysis experiment of coal slime and lignin. Pyrolysis experiments were carried out following 7 different mass mixing ratios. The initial pyrolysis temperatures of CS, S9G1, S7G3, S5G5, S3G7, S1G9, and LIG were 414.5, 373.3, 287.6, 233.3, 225.8, 218.6, and 209.6 °C, respectively. By observing the evolution of the gaseous products of the sample pyrolysis, the results showed that the gaseous products mainly include hydrocarbons, aldehydes, ethers, and alcohols. The ratio of lignin in the mixture was changed, and the interaction between the sample particles was different. The principal component analysis method provided helps to understand the mechanism of co-pyrolysis of coal slime and lignin. The relative error of the established artificial neural network prediction was less than 2.5%. This paper comprehensively analyzed the interaction and gas evolution law during the co-pyrolysis of coal slime and lignin.

Suggested Citation

  • Ni, Zhanshi & Bi, Haobo & Jiang, Chunlong & Sun, Hao & Zhou, Wenliang & Qiu, Zhicong & He, Liqun & Lin, Qizhao, 2022. "Research on the co-pyrolysis of coal slime and lignin based on the combination of TG-FTIR, artificial neural network, and principal component analysis," Energy, Elsevier, vol. 261(PA).
    • Handle: RePEc:eee:energy:v:261:y:2022:i:pa:s0360544222021260
    DOI: 10.1016/j.energy.2022.125238
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222021260
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.125238?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Xie, Candie & Liu, Jingyong & Zhang, Xiaochun & Xie, Wuming & Sun, Jian & Chang, Kenlin & Kuo, Jiahong & Xie, Wenhao & Liu, Chao & Sun, Shuiyu & Buyukada, Musa & Evrendilek, Fatih, 2018. "Co-combustion thermal conversion characteristics of textile dyeing sludge and pomelo peel using TGA and artificial neural networks," Applied Energy, Elsevier, vol. 212(C), pages 786-795.
    2. Chen, Guan-Bang & Wu, Fang-Hsien & Fang, Tzu-Lu & Lin, Hsien-Tsung & Chao, Yei-Chin, 2021. "A study of Co-gasification of sewage sludge and palm kernel shells," Energy, Elsevier, vol. 218(C).
    3. Ma, Jinxing & Wang, Zhiwei & Zhu, Chaowei & Xu, Yinlun & Wu, Zhichao, 2014. "Electrogenesis reduces the combustion efficiency of sewage sludge," Applied Energy, Elsevier, vol. 114(C), pages 283-289.
    4. Sahoo, Abhisek & Kumar, Sachin & Mohanty, Kaustubha, 2021. "Kinetic and thermodynamic analysis of Putranjiva roxburghii (putranjiva) and Cassia fistula (amaltas) non-edible oilseeds using thermogravimetric analyzer," Renewable Energy, Elsevier, vol. 165(P1), pages 261-277.
    5. Li, Chao & Sun, Yifan & Dong, Dehua & Gao, Guanggang & Zhang, Shu & Wang, Yi & Xiang, Jun & Hu, Song & Mortaza, Gholizadeh & Hu, Xun, 2021. "Co-pyrolysis of cellulose/lignin and sawdust: Influence of secondary condensation of the volatiles on characteristics of biochar," Energy, Elsevier, vol. 226(C).
    6. Jiang, Chunlong & Zhou, Wenliang & Bi, Haobo & Ni, Zhanshi & Sun, Hao & Lin, Qizhao, 2022. "Co-pyrolysis of coal slime and cattle manure by TG–FTIR–MS and artificial neural network modeling: Pyrolysis behavior, kinetics, gas emission characteristics," Energy, Elsevier, vol. 247(C).
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Wang, Guangyu & Meng, Jinghui & Zhang, Kai, 2024. "Process intensification of non-uniform additive pattern for coal slime drying by microwave heating," Energy, Elsevier, vol. 302(C).
    2. Oliveira, Kátia D. & Battiston, Lucas L. & Battiston, Caroline B.N. & Prauchner, Marcos J. & Martins, Gesley A.V. & Carneiro, Mayara E.B. & Ávila-Neto, Cícero N. & Muniz, Graciela I.B., 2024. "Esterification of crude tall oil catalyzed by Beta zeolite," Renewable Energy, Elsevier, vol. 228(C).
    3. Jiang, Xu & Xu, Jun & He, Qichen & Wang, Cong & Jiang, Long & Xu, Kai & Wang, Yi & Su, Sheng & Hu, Song & Du, Zhenyi & Xiang, Jun, 2023. "A study of the relationships between coal heterogeneous chemical structure and pyrolysis behaviours: Mechanism and predicting model," Energy, Elsevier, vol. 282(C).

    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. Wen, Shaoting & Buyukada, Musa & Evrendilek, Fatih & Liu, Jingyong, 2020. "Uncertainty and sensitivity analyses of co-combustion/pyrolysis of textile dyeing sludge and incense sticks: Regression and machine-learning models," Renewable Energy, Elsevier, vol. 151(C), pages 463-474.
    2. Shahbeig, Hossein & Nosrati, Mohsen, 2020. "Pyrolysis of municipal sewage sludge for bioenergy production: Thermo-kinetic studies, evolved gas analysis, and techno-socio-economic assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    3. He, Yahui & Li, Xiaofu & Meng, Li & Zhang, Wenqi & Wang, Yinfeng & Wang, Lei & Bi, Xiaotao & Zhu, Yuezhao, 2024. "Experimental investigation on high-temperature co-gasification and melting behavior of petrochemical sludge and bituminous coal in CO2 atmosphere," Energy, Elsevier, vol. 303(C).
    4. Bi, Haobo & Wang, Chengxin & Lin, Qizhao & Jiang, Xuedan & Jiang, Chunlong & Bao, Lin, 2020. "Combustion behavior, kinetics, gas emission characteristics and artificial neural network modeling of coal gangue and biomass via TG-FTIR," Energy, Elsevier, vol. 213(C).
    5. Li, Chao & Sun, Yifan & Yi, Zijun & Zhang, Lijun & Zhang, Shu & Hu, Xun, 2022. "Co-pyrolysis of coke bottle wastes with cellulose, lignin and sawdust: Impacts of the mixed feedstock on char properties," Renewable Energy, Elsevier, vol. 181(C), pages 1126-1139.
    6. Cui, Longfei & Zhang, Yaning & Shi, Ce & Zhao, Wenke & Li, Bingxi, 2024. "Describing the microwave heating performances of the main constitutes of biomass," Energy, Elsevier, vol. 302(C).
    7. Dai, Ying & Sun, Meng & Fang, Hua & Yao, Huicong & Chen, Jianbiao & Tan, Jinzhu & Mu, Lin & Zhu, Yuezhao, 2024. "Co-combustion of binary and ternary blends of industrial sludge, lignite and pine sawdust via thermogravimetric analysis: Thermal behaviors, interaction effects, kinetics evaluation, and artificial ne," Renewable Energy, Elsevier, vol. 220(C).
    8. Prabhakaran, SP Sathiya & Swaminathan, Ganapathiraman & Joshi, Viraj V., 2022. "Combustion and pyrolysis kinetics of Australian lignite coal and validation by artificial neural networks," Energy, Elsevier, vol. 242(C).
    9. Chen, Zhibin & Wang, Li & Huang, Zhiwei & Zhuang, Ping & Shi, Yiguang & Evrendilek, Fatih & Huang, Shengzheng & He, Yao & Liu, Jingyong, 2024. "Dynamic and optimal ash-to-gas responses of oxy-fuel and air combustions of soil remediation biomass," Renewable Energy, Elsevier, vol. 225(C).
    10. Wen, Shaoting & Yan, Youping & Liu, Jingyong & Buyukada, Musa & Evrendilek, Fatih, 2019. "Pyrolysis performance, kinetic, thermodynamic, product and joint optimization analyses of incense sticks in N2 and CO2 atmospheres," Renewable Energy, Elsevier, vol. 141(C), pages 814-827.
    11. Jiang, Chunlong & Zhou, Wenliang & Bi, Haobo & Ni, Zhanshi & Sun, Hao & Lin, Qizhao, 2022. "Co-pyrolysis of coal slime and cattle manure by TG–FTIR–MS and artificial neural network modeling: Pyrolysis behavior, kinetics, gas emission characteristics," Energy, Elsevier, vol. 247(C).
    12. Xie, Candie & Liu, Jingyong & Zhang, Xiaochun & Xie, Wuming & Sun, Jian & Chang, Kenlin & Kuo, Jiahong & Xie, Wenhao & Liu, Chao & Sun, Shuiyu & Buyukada, Musa & Evrendilek, Fatih, 2018. "Co-combustion thermal conversion characteristics of textile dyeing sludge and pomelo peel using TGA and artificial neural networks," Applied Energy, Elsevier, vol. 212(C), pages 786-795.
    13. Thiagarajan Janakiraman & Abhijeet Pathy & Srividhya Poosari Kumaravel & Balasubramanian Paramasivan, 2022. "Effect of coconut shell in gasification kinetics of palm kernel shells at various blending ratios," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 8333-8350, June.
    14. Ju-Hyoung Park & Min-Ho Jin & Young-Joo Lee & Gyu-Seob Song & Jong Won Choi & Dong-Wook Lee & Young-Chan Choi & Se-Joon Park & Kwang Ho Song & Joeng-Geun Kim, 2019. "Two-in-One Fuel Synthetic Bioethanol-Lignin from Lignocellulose with Sewage Sludge and Its Air Pollutants Reduction Effects," Energies, MDPI, vol. 12(16), pages 1-15, August.
    15. Teng, Sin Yong & Loy, Adrian Chun Minh & Leong, Wei Dong & How, Bing Shen & Chin, Bridgid Lai Fui & Máša, Vítězslav, 2019. "Catalytic thermal degradation of Chlorella Vulgaris: Evolving deep neural networks for optimization," MPRA Paper 95772, University Library of Munich, Germany.
    16. Wang, Pengqian & Wang, Chang'an & Yuan, Maobo & Wang, Chaowei & Zhang, Jinping & Du, Yongbo & Tao, Zichen & Che, Defu, 2020. "Experimental evaluation on co-combustion characteristics of semi-coke and coal under enhanced high-temperature and strong-reducing atmosphere," Applied Energy, Elsevier, vol. 260(C).
    17. Lang, Sen & Zhang, Shouyu & Zhou, Yi & Yang, Jifan & Liu, Simeng & Zhang, Xingjia & Chen, Xuyang & Lyu, Bangyong & Liang, Ning, 2024. "Research on the hot densification mechanism of biomass wastes based on molecular dynamics simulation and components adjustment method," Energy, Elsevier, vol. 294(C).
    18. Thoharudin, & Hsiau, Shu-San & Chen, Yi-Shun & Yang, Shouyin, 2023. "Design optimization of fluidized bed pyrolysis for energy and exergy analysis using a simplified comprehensive multistep kinetic model," Energy, Elsevier, vol. 276(C).
    19. Tian, Lu & Lin, Kunsen & Zhao, Youcai & Zhao, Chunlong & Huang, Qifei & Zhou, Tao, 2022. "Combustion performance of fine screenings from municipal solid waste: Thermo-kinetic investigation and deep learning modeling via TG-FTIR," Energy, Elsevier, vol. 243(C).
    20. Zhuang, Xiuzheng & Song, Yanpei & Zhan, Hao & Yin, Xiuli & Wu, Chuangzhi, 2019. "Synergistic effects on the co-combustion of medicinal biowastes with coals of different ranks," Renewable Energy, Elsevier, vol. 140(C), pages 380-389.

    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:eee:energy:v:261:y:2022:i:pa:s0360544222021260. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.