IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v148y2018icp941-964.html
   My bibliography  Save this article

Systems modeling, simulation and analysis for robust operations and improved design of entrained-flow pulverized coal gasifiers

Author

Listed:
  • Cao, Zhikai
  • Li, Tao
  • Zhang, Quancong
  • Zhou, Hua
  • Song, Can
  • You, Fengqi

Abstract

Gasification processes with complex reaction systems typically require stable operating condition. However, variations of feedstock flow, composition of feedstock, and environmental factors, as well as other factors, may cause abnormal operating conditions. This work proposes a novel systems modeling and analysis method by combining computational fluid dynamics (CFD) and process simulation for the Shell pulverized coal gasifier. The proposed method considers the Shell pulverized coal entrained-flow gasifier with two parts: a gasification core zone and a heat exchange and water gas shift zone. High-fidelity CFD models of gasification core zone is developed to obtain characteristics of flow field, temperature field and composition profiles within the gasification core zone. An equation-oriented process simulation model is further developed for the heat exchange & water gas shift zone. The proposed hybrid method is validated by comparing with industrial operating data. Three cases for abnormal operating condition are further investigated with the proposed hybrid model. The most significant factors that influence the process operability are found to be the characteristics of gas and particles hydrodynamic behaviors of the inner layer of the gasification core zone. The results show that obvious vortex for the gas and particles is beneficial to the normal and abnormal operating conditions. To improve the operability of the entrained-flow gasifier under abnormal operating condition, it is crucial to keep the swirl zone of the vortex at the center of the reactor. In the end, an improved design for gasifier is presented by adjusting the bias angle of the nozzle to make the swirl zone of the vortex more obvious. According to the simulation results, the optimal bias angle is 5.0*(π/180) rad for the gasifier under both nominal and abnormal conditions.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:148:y:2018:i:c:p:941-964
    DOI: 10.1016/j.energy.2018.01.134
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544218301622
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2018.01.134?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. Liu, Hengwei & Ni, Weidou & Li, Zheng & Ma, Linwei, 2008. "Strategic thinking on IGCC development in China," Energy Policy, Elsevier, vol. 36(1), pages 1-11, January.
    2. Niemelä, Niko P. & Tolvanen, Henrik & Saarinen, Teemu & Leppänen, Aino & Joronen, Tero, 2017. "CFD based reactivity parameter determination for biomass particles of multiple size ranges in high heating rate devolatilization," Energy, Elsevier, vol. 128(C), pages 676-687.
    3. Irfan, Muhammad F. & Usman, Muhammad R. & Kusakabe, K., 2011. "Coal gasification in CO2 atmosphere and its kinetics since 1948: A brief review," Energy, Elsevier, vol. 36(1), pages 12-40.
    4. Watanabe, Hiroaki & Ahn, Seongyool & Tanno, Kenji, 2017. "Numerical investigation of effects of CO2 recirculation in an oxy-fuel IGCC on gasification characteristics of a two-stage entrained flow coal gasifier," Energy, Elsevier, vol. 118(C), pages 181-189.
    5. Schulze, S. & Richter, A. & Vascellari, M. & Gupta, A. & Meyer, B. & Nikrityuk, P.A., 2016. "Novel intrinsic-based submodel for char particle gasification in entrained-flow gasifiers: Model development, validation and illustration," Applied Energy, Elsevier, vol. 164(C), pages 805-814.
    6. Kiso, F. & Matsuo, M., 2011. "A simulation study on the enhancement of the shift reaction by water injection into a gasifier," Energy, Elsevier, vol. 36(7), pages 4032-4040.
    7. Lee, Hyeon-Hui & Lee, Jae-Chul & Joo, Yong-Jin & Oh, Min & Lee, Chang-Ha, 2014. "Dynamic modeling of Shell entrained flow gasifier in an integrated gasification combined cycle process," Applied Energy, Elsevier, vol. 131(C), pages 425-440.
    8. Chen, Chih-Jung & Hung, Chen-I. & Chen, Wei-Hsin, 2012. "Numerical investigation on performance of coal gasification under various injection patterns in an entrained flow gasifier," Applied Energy, Elsevier, vol. 100(C), pages 218-228.
    9. Yang, Sheng & Qian, Yu & Ma, Donghui & Wang, Yifan & Yang, Siyu, 2017. "BGL gasifier for coal-to-SNG: A comparative techno-economic analysis," Energy, Elsevier, vol. 133(C), pages 158-170.
    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. 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).
    2. 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).
    3. Lu, Yue & Li, Zhengqi & Jiang, Guangfei & Huang, Chunchao & Chen, Zhichao, 2024. "Study on mixing performance of atmospheric entrained flow gasification burner using fine ash as feedstock," Energy, Elsevier, vol. 292(C).
    4. 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).
    5. 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.
    6. Meng, Sai & Zulli, Paul & Yang, Chaohe & Wang, Zhe & Meng, Qingbo & Zhang, Guangqing, 2022. "Energy and exergy analyses of an intensified char gasification process," Energy, Elsevier, vol. 239(PD).
    7. 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).
    8. 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).
    9. 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.

    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. Qin, Shiyue & Chang, Shiyan & Yao, Qiang, 2018. "Modeling, thermodynamic and techno-economic analysis of coal-to-liquids process with different entrained flow coal gasifiers," Applied Energy, Elsevier, vol. 229(C), pages 413-432.
    2. Zhang, Qian & Li, Qingfeng & Zhang, Linxian & Wang, Zhiqing & Jing, Xuliang & Yu, Zhongliang & Song, Shuangshuang & Fang, Yitian, 2014. "Preliminary study on co-gasification behavior of deoiled asphalt with coal and biomass," Applied Energy, Elsevier, vol. 132(C), pages 426-434.
    3. Wang, Kangcheng & Zhang, Jie & Shang, Chao & Huang, Dexian, 2021. "Operation optimization of Shell coal gasification process based on convolutional neural network models," Applied Energy, Elsevier, vol. 292(C).
    4. 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.
    5. 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).
    6. Fang, Neng & Li, Zhengqi & Wang, Jiaquan & Zhang, Bin & Zeng, Lingyan & Chen, Zhichao & Wang, Haopeng & Liu, Xiaoying & Zhang, Xiaoyan, 2018. "Experimental investigations on air/particle flow characteristics in a 2000 t/d GSP pulverized coal gasifier with an improved burner," Energy, Elsevier, vol. 165(PB), pages 432-441.
    7. Lee, Sung-Wook & Park, Jong-Soo & Lee, Chun-Boo & Lee, Dong-Wook & Kim, Hakjoo & Ra, Ho Won & Kim, Sung-Hyun & Ryi, Shin-Kun, 2014. "H2 recovery and CO2 capture after water–gas shift reactor using synthesis gas from coal gasification," Energy, Elsevier, vol. 66(C), pages 635-642.
    8. Ján Kačur & Marek Laciak & Milan Durdán & Patrik Flegner, 2023. "Investigation of Underground Coal Gasification in Laboratory Conditions: A Review of Recent Research," Energies, MDPI, vol. 16(17), pages 1-55, August.
    9. 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.
    10. Im-orb, Karittha & Simasatitkul, Lida & Arpornwichanop, Amornchai, 2016. "Techno-economic analysis of the biomass gasification and Fischer–Tropsch integrated process with off-gas recirculation," Energy, Elsevier, vol. 94(C), pages 483-496.
    11. Moioli, Stefania & Giuffrida, Antonio & Romano, Matteo C. & Pellegrini, Laura A. & Lozza, Giovanni, 2016. "Assessment of MDEA absorption process for sequential H2S removal and CO2 capture in air-blown IGCC plants," Applied Energy, Elsevier, vol. 183(C), pages 1452-1470.
    12. Igor Donskoy, 2023. "Techno-Economic Efficiency Estimation of Promising Integrated Oxyfuel Gasification Combined-Cycle Power Plants with Carbon Capture," Clean Technol., MDPI, vol. 5(1), pages 1-18, February.
    13. Duan, Zhengxiao & Zhang, Yanni & Deng, Jun & Shu, Pan & Yao, Di, 2023. "A systematic exploration of mapping knowledge domains for free radical research related to coal," Energy, Elsevier, vol. 282(C).
    14. Prabu, V. & Geeta, K., 2015. "CO2 enhanced in-situ oxy-coal gasification based carbon-neutral conventional power generating systems," Energy, Elsevier, vol. 84(C), pages 672-683.
    15. Prabowo, Bayu & Aziz, Muhammad & Umeki, Kentaro & Susanto, Herri & Yan, Mi & Yoshikawa, Kunio, 2015. "CO2-recycling biomass gasification system for highly efficient and carbon-negative power generation," Applied Energy, Elsevier, vol. 158(C), pages 97-106.
    16. Kim, Ryang-Gyoon & Hwang, Chan-Won & Jeon, Chung-Hwan, 2014. "Kinetics of coal char gasification with CO2: Impact of internal/external diffusion at high temperature and elevated pressure," Applied Energy, Elsevier, vol. 129(C), pages 299-307.
    17. 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).
    18. Zhao, Jingyu & Deng, Jun & Wang, Tao & Song, Jiajia & Zhang, Yanni & Shu, Chi-Min & Zeng, Qiang, 2019. "Assessing the effectiveness of a high-temperature-programmed experimental system for simulating the spontaneous combustion properties of bituminous coal through thermokinetic analysis of four oxidatio," Energy, Elsevier, vol. 169(C), pages 587-596.
    19. Samuel C. Bayham & Andrew Tong & Mandar Kathe & Liang-Shih Fan, 2016. "Chemical looping technology for energy and chemical production," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 5(2), pages 216-241, March.
    20. Ren, Siyue & Feng, Xiao & Wang, Yufei, 2021. "Emergy evaluation of the integrated gasification combined cycle power generation systems with a carbon capture system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(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:148:y:2018:i:c:p:941-964. 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.