IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v166y2019icp373-379.html
   My bibliography  Save this article

Thermal-calculation method for entrained-flow coal gasifiers

Author

Listed:
  • Wang, Haopeng
  • Chen, Zhichao
  • Zhang, Bin
  • Zeng, Lingyan
  • Li, Zhengqi
  • Zhang, Xiaoyan
  • Fang, Neng
  • Liu, Xiaoying

Abstract

While entrained-flow coal gasifiers (EFCGs) have been widely used in coal-gasification technologies, the thermal-calculation method, which is important for assessing the design and operation of EFCGs, has never been reported. Based on the fundamental thermal-calculation method for coal-fired boilers, and combined with the two-stage equilibrium model through the difference between the gasification and exit temperatures, we propose a thermal-calculation method for EFCGs to calculate the syngas composition, carbon conversion and energy distributions. The calculated gas compositions and heat loss are in good agreement with experimental data for industrial-scale plants. In the two-stage equilibrium module, the function for calculating the water participation ratio involved in the first-stage equilibrium reaction is improved by considering the influences of the ratios of oxygen/carbon and water/carbon, in addition to the gasification temperature. As the carbon conversion efficiency is significantly influenced by the oxygen/carbon and water/carbon ratios in the first-stage equilibrium system, the calculated carbon conversion efficiencies correspond more closely to the experimental data than the other models considering only the gasification temperature.

Suggested Citation

  • Wang, Haopeng & Chen, Zhichao & Zhang, Bin & Zeng, Lingyan & Li, Zhengqi & Zhang, Xiaoyan & Fang, Neng & Liu, Xiaoying, 2019. "Thermal-calculation method for entrained-flow coal gasifiers," Energy, Elsevier, vol. 166(C), pages 373-379.
  • Handle: RePEc:eee:energy:v:166:y:2019:i:c:p:373-379
    DOI: 10.1016/j.energy.2018.10.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544218319856
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2018.10.004?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. Xu, Shisen & Ren, Yongqiang & Wang, Baomin & Xu, Yue & Chen, Liang & Wang, Xiaolong & Xiao, Tiancun, 2014. "Development of a novel 2-stage entrained flow coal dry powder gasifier," Applied Energy, Elsevier, vol. 113(C), pages 318-323.
    2. Cao, Zhikai & Li, Tao & Zhang, Quancong & Zhou, Hua & Song, Can & You, Fengqi, 2018. "Systems modeling, simulation and analysis for robust operations and improved design of entrained-flow pulverized coal gasifiers," Energy, Elsevier, vol. 148(C), pages 941-964.
    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. Fang, Neng & Li, Zhengqi & Xie, Cheng & Liu, Shuxuan & Zeng, Lingyan & Chen, Zhichao & Zhang, Bin, 2020. "The application of fly ash gasification for purifying the raw syngas in an industrial-scale entrained flow gasifier," Energy, Elsevier, vol. 195(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. Fang, Neng & Li, Zhengqi & Liu, Shuxuan & Xie, Cheng & Zeng, Lingyan & Chen, Zhichao, 2021. "Experimental air/particle flow characteristics of an 80,000 Nm3/h fly ash entrained-flow gasifier with different multi-burner arrangements," Energy, Elsevier, vol. 215(PB).
    2. Ouyang, Ziqu & Song, Wenhao & Li, Shiyuan & Liu, Jingzhang & Ding, Hongliang, 2020. "Experiment study on NOx emission characteristics of the ultra-low volatile fuel in a 2 MW novel pulverized fuel self-sustained preheating combustor," Energy, Elsevier, vol. 209(C).
    3. Fang, Neng & Li, Zhengqi & Xie, Cheng & Liu, Shuxuan & Lu, Yue & Zeng, Lingyan & Chen, Zhichao, 2021. "Influence of the multi-burner bias angle on the air/particle flow characteristics in an improved fly ash entrained-flow gasifier," Energy, Elsevier, vol. 234(C).
    4. Kim, Mukyeong & Ye, Insoo & Jo, Hyunbin & Ryu, Changkook & Kim, Bongkeun & Lee, Jeongsoo, 2020. "New reduced-order model optimized for online dynamic simulation of a Shell coal gasifier," Applied Energy, Elsevier, vol. 263(C).
    5. Sahu, Nitesh Kumar & Kumar, Mayank & Dewan, Anupam, 2022. "Sophisticated interplay of operating conditions governs flow field transition and optimal conversion inside tangentially fired gasifiers," Energy, Elsevier, vol. 252(C).
    6. Samiran, Nor Afzanizam & Jaafar, Mohammad Nazri Mohd & Ng, Jo-Han & Lam, Su Shiung & Chong, Cheng Tung, 2016. "Progress in biomass gasification technique – With focus on Malaysian palm biomass for syngas production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1047-1062.
    7. Li, Fenghai & Li, Zhenzhu & Huang, Jiejie & Fang, Yitian, 2014. "Understanding mineral behaviors during anthracite fluidized-bed gasification based on slag characteristics," Applied Energy, Elsevier, vol. 131(C), pages 279-287.
    8. Li, Tian & Niu, Yanqing & Wang, Liang & Shaddix, Christopher & Løvås, Terese, 2018. "High temperature gasification of high heating-rate chars using a flat-flame reactor," Applied Energy, Elsevier, vol. 227(C), pages 100-107.
    9. Chen, Xiaodong & Kong, Lingxue & Bai, Jin & Dai, Xin & Li, Huaizhu & Bai, Zongqing & Li, Wen, 2017. "The key for sodium-rich coal utilization in entrained flow gasifier: The role of sodium on slag viscosity-temperature behavior at high temperatures," Applied Energy, Elsevier, vol. 206(C), pages 1241-1249.
    10. Luo, Yimo & Shao, Shuangquan & Xu, Hongbo & Tian, Changqing & Yang, Hongxing, 2014. "Experimental and theoretical research of a fin-tube type internally-cooled liquid desiccant dehumidifier," Applied Energy, Elsevier, vol. 133(C), pages 127-134.
    11. Guangyu Li & Luping Wang & Chaowei Wang & Chang’an Wang & Ping Wu & Defu Che, 2020. "Experimental Study on Coal Gasification in a Full-Scale Two-Stage Entrained-Flow Gasifier," Energies, MDPI, vol. 13(18), pages 1-15, September.
    12. Li, Zhengkuan & Tian, Songfeng & Zhang, Du & Chang, Chengzhi & Zhang, Qian & Zhang, Peijie, 2022. "Optimization study on improving energy efficiency of power cycle system of staged coal gasification coupled with supercritical carbon dioxide," Energy, Elsevier, vol. 239(PC).
    13. Li, Guangyu & Xu, Shisen & Zhao, Xuebin & Sun, Ruijin & Wang, Chang’an & Liu, Kang & Mao, Qisen & Che, Defu, 2020. "Investigation of chemical composition and morphology of ash deposition in syngas cooler of an industrialized two-stage entrained-flow coal gasifier," Energy, Elsevier, vol. 194(C).
    14. Liao, Gaoliang & E, Jiaqiang & Zhang, Feng & Chen, Jingwei & Leng, Erwei, 2020. "Advanced exergy analysis for Organic Rankine Cycle-based layout to recover waste heat of flue gas," Applied Energy, Elsevier, vol. 266(C).
    15. Zhou, Hua & Xie, Taili & You, Fengqi, 2018. "On-line simulation and optimization of a commercial-scale shell entrained-flow gasifier using a novel dynamic reduced order model," Energy, Elsevier, vol. 149(C), pages 516-534.
    16. Zhou, Jianzhao & Chu, Yin Ting & Ren, Jingzheng & Shen, Weifeng & He, Chang, 2023. "Integrating machine learning and mathematical programming for efficient optimization of operating conditions in organic Rankine cycle (ORC) based combined systems," Energy, Elsevier, vol. 281(C).
    17. Wang, Dandan & Li, Sheng & He, Song & Gao, Lin, 2019. "Coal to substitute natural gas based on combined coal-steam gasification and one-step methanation," Applied Energy, Elsevier, vol. 240(C), pages 851-859.
    18. Ögren, Yngve & Tóth, Pál & Garami, Attila & Sepman, Alexey & Wiinikka, Henrik, 2018. "Development of a vision-based soft sensor for estimating equivalence ratio and major species concentration in entrained flow biomass gasification reactors," Applied Energy, Elsevier, vol. 226(C), pages 450-460.
    19. Cao, Zhikai & Wu, Qi & Zhou, Hua & Chen, Pingping & You, Fengqi, 2020. "Dynamic modeling, systematic analysis, and operation optimization for shell entrained-flow heavy residue gasifier," Energy, Elsevier, vol. 197(C).
    20. Wang, Hairong & Yan, Jianbo & Dong, Liang, 2016. "Simulation and economic evaluation of biomass gasification with sets for heating, cooling and power production," Renewable Energy, Elsevier, vol. 99(C), pages 360-368.

    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:166:y:2019:i:c:p:373-379. 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.