IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v222y2021ics0360544221002619.html
   My bibliography  Save this article

An approach for upgrading lignite to improve slurryability: Blending with direct coal liquefaction residue under microwave-assisted pyrolysis

Author

Listed:
  • Gu, Suqian
  • Xu, Zhiqiang
  • Ren, Yangguang
  • Tu, Yanan
  • Sun, Meijie
  • Liu, Xiangyang

Abstract

As the composition of direct coal liquefaction residue (DCLR) is complex and difficult to handle, more importantly its dielectric properties are excellent, it is used as consumable wave-absorbents to enhance the microwave pyrolysis of lignite for slurryability improvement. The effects of the different additions of DCLR on the evolution of pyrolysis products were studied by using gas chromatography, Fourier transform infrared spectroscopy (FTIR), Raman spectroscopy, and low-temperature N2 adsorption analysis. The results indicated that microwave-assisted pyrolysis with DCLR was a promising method for improving slurryability of lignite and an effective method for utilizing DCLR. The introduced DCLR accelerated the heating rate of the process of microwave upgrading lignite, facilitating the decomposition of active oxygen-containing functional groups and aliphatic hydrocarbons and then their transformation into stable ether groups and aromatic structures. In the meantime, it was converted into gaseous products, mainly composed of H2, CO, and CH4, and solid products with high quality. Additionally, the cyclization and aromatization of organic structures were improved, as well as the order degree of aromatic systems, especially with 12 wt% of DCLR added. Furthermore, the existing and newly formed structures of micropores and mesopores in the upgraded lignite (UL) were remarkably reduced with the increase of DCLR contents. The re-absorption capacity was dramatically reduced and the slurryability of UL was improved as a result of the changes in chemical properties and pore structures. The maximum solid concentration of lignite water slurry (LWS) increased from 41.73 wt% to 65.42 wt% with lower pseudo-plasticity and static stability.

Suggested Citation

  • Gu, Suqian & Xu, Zhiqiang & Ren, Yangguang & Tu, Yanan & Sun, Meijie & Liu, Xiangyang, 2021. "An approach for upgrading lignite to improve slurryability: Blending with direct coal liquefaction residue under microwave-assisted pyrolysis," Energy, Elsevier, vol. 222(C).
    • Handle: RePEc:eee:energy:v:222:y:2021:i:c:s0360544221002619
    DOI: 10.1016/j.energy.2021.120012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221002619
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.120012?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. Feng, Ping & Hao, Lifang & Huo, Chaofei & Wang, Ze & Lin, Weigang & Song, Wenli, 2014. "Rheological behavior of coal bio-oil slurries," Energy, Elsevier, vol. 66(C), pages 744-749.
    2. Ma, Rui & Sun, Shichang & Geng, Haihong & Fang, Lin & Zhang, Peixin & Zhang, Xianghua, 2018. "Study on the characteristics of microwave pyrolysis of high-ash sludge, including the products, yields, and energy recovery efficiencies," Energy, Elsevier, vol. 144(C), pages 515-525.
    3. Karasu, Seçkin & Altan, Aytaç & Bekiros, Stelios & Ahmad, Wasim, 2020. "A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series," Energy, Elsevier, vol. 212(C).
    4. Feng, Ping & Lin, Weigang & Jensen, Peter Arendt & Song, Wenli & Hao, Lifang & Raffelt, Klaus & Dam-Johansen, Kim, 2016. "Entrained flow gasification of coal/bio-oil slurries," Energy, Elsevier, vol. 111(C), pages 793-802.
    5. Lin, Kuo-Hsiung & Lai, Nina & Zeng, Jun-Yan & Chiang, Hung-Lung, 2020. "Microwave-pyrolysis treatment of biosludge from a chemical industrial wastewater treatment plant for exploring product characteristics and potential energy recovery," Energy, Elsevier, vol. 199(C).
    6. Sonibare, Oluwadayo O. & Haeger, Tobias & Foley, Stephen F., 2010. "Structural characterization of Nigerian coals by X-ray diffraction, Raman and FTIR spectroscopy," Energy, Elsevier, vol. 35(12), pages 5347-5353.
    7. Li, He & Shi, Shiliang & Lin, Baiquan & Lu, Jiexin & Ye, Qing & Lu, Yi & Wang, Zheng & Hong, Yidu & Zhu, Xiangnan, 2019. "Effects of microwave-assisted pyrolysis on the microstructure of bituminous coals," Energy, Elsevier, vol. 187(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. Ren, Yangguang & Lv, Ziqi & Xu, Zhiqiang & Wang, Qun & Wang, Zhe, 2023. "Slurry-ability mathematical modeling of microwave-modified lignite: A comparative analysis of multivariate non-linear regression model and XGBoost algorithm model," Energy, Elsevier, vol. 281(C).
    2. Chen, Long & Wang, Hong & Tu, Zhi & Hu, Jian & Wu, Fangfang, 2024. "Renewable fuel and value-added chemicals potential of reed straw waste (RSW) by pyrolysis: Kinetics, thermodynamics, products characterization, and biochar application for malachite green removal," Renewable Energy, Elsevier, vol. 229(C).
    3. Gao, Mingqiang & Cheng, Cheng & Miao, Zhenyong & Wan, Keji & He, Qiongqiong, 2023. "Physicochemical properties, combustion kinetics and thermodynamics of oxidized lignite," Energy, Elsevier, vol. 268(C).
    4. Zhou, Xiao-Dong & Wu, Hao & Liu, Jing-Mei & Huang, Xue-Li & Fan, Xing & Jin, Li-Jun & Zhu, Yu-Fei & Ma, Feng-Yun & Zhong, Mei, 2022. "Study on oxygen species in the products of co-liquefaction of coal and petroleum residues," Energy, Elsevier, vol. 260(C).
    5. Zhang, Wei & Wang, Deming & Xin, Haihui & Wang, Chenguang & Xu, Zuoming & Hou, Zhenhai & Qi, Zhangfan, 2024. "Reignition characteristics of lignite affected by pre-oxidation and liquid nitrogen cold soaking," Energy, Elsevier, vol. 303(C).
    6. Ren, Yangguang & Xu, Zhiqiang & Gu, Suqian, 2022. "Physicochemical properties and slurry ability changes of lignite after microwave upgrade with the assist of lignite semi-coke," Energy, Elsevier, vol. 252(C).
    7. Zhu, Hongqing & Liao, Qi & Qu, Baolin & Hu, Lintao & Wang, Haoran & Gao, Rongxiang & Zhang, Yilong, 2023. "Relationship between the main functional groups and complex permittivity in pre-oxidised lignite at terahertz frequencies based on grey correlation analysis," Energy, Elsevier, vol. 278(C).
    8. Zhu, Hongqing & Liao, Qi & Hu, Lintao & Xie, Linhao & Qu, Baolin & Gao, Rongxiang, 2023. "Effect of removal of alkali and alkaline earth metals in cornstalk on slagging/fouling and co-combustion characteristics of cornstalk/coal blends for biomass applications," Renewable Energy, Elsevier, vol. 207(C), pages 275-285.

    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. Feng, Ping & Li, Xiaoyang & Wang, Jinyu & Li, Jie & Wang, Huan & He, Lu, 2021. "The mixtures of bio-oil derived from different biomass and coal/char as biofuels: Combustion characteristics," Energy, Elsevier, vol. 224(C).
    2. Zhang, Chao & Zhao, Yangsheng & Feng, Zijun & Wang, Lei & Meng, Qiaorong & Lu, Yang & Gao, Qiang, 2023. "Comparative study on the chemical structure characteristics of lump coal during superheated water vapor pyrolysis and conventional pyrolysis," Energy, Elsevier, vol. 276(C).
    3. Luo, Juan & Ma, Rui & Lin, Junhao & Sun, Shichang & Gong, Guojin & Sun, Jiaman & Chen, Yi & Ma, Ning, 2023. "Review of microwave pyrolysis of sludge to produce high quality biogas: Multi-perspectives process optimization and critical issues proposal," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    4. Yi, Shuping & Hao, Lifang & Li, Songgeng & Song, Wenli, 2019. "The influence of water content in rice husk bio-oil on the rheological properties of coal bio-oil slurries," Energy, Elsevier, vol. 189(C).
    5. Xin, Lin & An, Mingyu & Feng, Mingze & Li, Kaixuan & Cheng, Weimin & Liu, Weitao & Hu, Xiangming & Wang, Zhigang & Han, Limin, 2021. "Study on pyrolysis characteristics of lump coal in the context of underground coal gasification," Energy, Elsevier, vol. 237(C).
    6. Yutao, Zhang & Yuanbo, Zhang & Yaqing, Li & Xueqiang, Shi & Yujie, Zhang, 2021. "Heat effects and kinetics of coal spontaneous combustion at various oxygen contents," Energy, Elsevier, vol. 234(C).
    7. Qian, Jiaxin & Wu, Jiahui & Yao, Lei & Mahmut, Saniye & Zhang, Qiang, 2021. "Comprehensive performance evaluation of Wind-Solar-CCHP system based on emergy analysis and multi-objective decision method," Energy, Elsevier, vol. 230(C).
    8. Yang, Wei & Wang, Yihan & Yan, Fazhi & Si, Guangyao & Lin, Baiquan, 2022. "Evolution characteristics of coal microstructure and its influence on methane adsorption capacity under high temperature pyrolysis," Energy, Elsevier, vol. 254(PA).
    9. Yuxuan Zhou & Shugang Li & Yang Bai & Hang Long & Yuchu Cai & Jingfei Zhang, 2023. "Joint Characterization and Fractal Laws of Pore Structure in Low-Rank Coal," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    10. Zhong, Hanbin & Xiong, Qingang & Yin, Lina & Zhang, Juntao & Zhu, Yuqin & Liang, Shengrong & Niu, Ben & Zhang, Xinyu, 2020. "CFD-based reduced-order modeling of fluidized-bed biomass fast pyrolysis using artificial neural network," Renewable Energy, Elsevier, vol. 152(C), pages 613-626.
    11. Wen, Danyan & Liu, Li & Wang, Yudong & Zhang, Yaojie, 2022. "Forecasting crude oil market returns: Enhanced moving average technical indicators," Resources Policy, Elsevier, vol. 76(C).
    12. Rajpal, Sheetal & Lakhyani, Navin & Singh, Ayush Kumar & Kohli, Rishav & Kumar, Naveen, 2021. "Using handpicked features in conjunction with ResNet-50 for improved detection of COVID-19 from chest X-ray images," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    13. Hasankhani, Arezoo & Hakimi, Seyed Mehdi, 2021. "Stochastic energy management of smart microgrid with intermittent renewable energy resources in electricity market," Energy, Elsevier, vol. 219(C).
    14. Jia, Wenlong & Yang, Fan & Li, Changjun & Huang, Ting & Song, Shuoshuo, 2021. "A unified thermodynamic framework to compute the hydrate formation conditions of acidic gas/water/alcohol/electrolyte mixtures up to 186.2 MPa," Energy, Elsevier, vol. 230(C).
    15. Karasu, Seçkin & Altan, Aytaç, 2022. "Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization," Energy, Elsevier, vol. 242(C).
    16. Zhou, Yuzhou & Zhao, Jiexing & Zhai, Qiaozhu, 2021. "100% renewable energy: A multi-stage robust scheduling approach for cascade hydropower system with wind and photovoltaic power," Applied Energy, Elsevier, vol. 301(C).
    17. Zhang, Chao & Zhao, Yangsheng & Feng, Zijun & Meng, Qiaorong & Wang, Lei & Lu, Yang, 2023. "Thermal maturity and chemical structure evolution of lump long-flame coal during superheated water vapor–based in situ pyrolysis," Energy, Elsevier, vol. 263(PC).
    18. Hu, Rongchun & Zhang, Dongxu & Gu, Xudong, 2022. "Reliability analysis of a class of stochastically excited nonlinear Markovian jump systems," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    19. Tao, Ming & Yang, Zheng & Zhao, Yan & Wu, Xingyu & Wu, Chengqing, 2024. "Failure characteristics of microwave heat-treated stressed sandstone: Implications for deep rock breakage using TBM cutting," Energy, Elsevier, vol. 292(C).
    20. Fan, Yuqiang & Guan, Jun & He, Demin & Hong, Yu & Zhang, Qiumin, 2023. "The influence of inherent minerals on the constant-current electrolysis process of coal-water slurry," Energy, Elsevier, vol. 285(C).

    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:222:y:2021:i:c:s0360544221002619. 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.