IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v159y2020icp705-725.html

Mathematical analysis of steady-state non-premixed multi-zone combustion of porous biomass particles under counter-flow configuration

Author

Listed:
  • Hosseinzadeh, Saman
  • Fattahi, Abolfazl
  • Sadeghi, Sadegh
  • Rahmani, Ebrahim
  • Bidabadi, Mehdi
  • Zarei, Fatemeh
  • Xu, Fei

Abstract

In this study, non-premixed multi-zone combustion of porous lycopodium particles in a counter-flow configuration at steady state was modeled using a derived analytical model. To model the porosity, a reasonable series form is considered. In the derived analytical model, both convective and radiative heat losses were included. The overall combustion process was mathematically divided into pre-heating, drying, vaporization, flame, and post-flame zones and lycopodium particles and oxidizer are injected from opposite sides locating infinity away the stagnation plane. The particles are firstly dried and then vaporized in a limitedly finite region to produce a gaseous fuel of special chemical composition. Relevant conservation equations were formulated in both dimensional and dimensionless forms. Applying suitable jump and boundary conditions, the corresponding continuity and energy equations were solved using Mathematica and Matlab software. The derived analytical model was first validated through comparison against literature data and a satisfactory agreement was achieved. Then temperature distribution and mass fractions of fuel and oxidizer along the x direction were presented to describe the combustion characteristics. Finally, a series of parametric studies were conducted to study the effects of key operating conditions.

Suggested Citation

  • Hosseinzadeh, Saman & Fattahi, Abolfazl & Sadeghi, Sadegh & Rahmani, Ebrahim & Bidabadi, Mehdi & Zarei, Fatemeh & Xu, Fei, 2020. "Mathematical analysis of steady-state non-premixed multi-zone combustion of porous biomass particles under counter-flow configuration," Renewable Energy, Elsevier, vol. 159(C), pages 705-725.
    • Handle: RePEc:eee:renene:v:159:y:2020:i:c:p:705-725
    DOI: 10.1016/j.renene.2020.05.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148120307059
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2020.05.007?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Smith, Joseph D. & Sreedharan, Vikram & Landon, Mark & Smith, Zachary P., 2020. "Advanced design optimization of combustion equipment for biomass combustion," Renewable Energy, Elsevier, vol. 145(C), pages 1597-1607.
    2. Ke, Cunfeng & Zhang, Yaning & Gao, Yanan & Pan, Yaoyu & Li, Bingxi & Wang, Yunpu & Ruan, Roger, 2019. "Syngas production from microwave-assisted air gasification of biomass: Part 1 model development," Renewable Energy, Elsevier, vol. 140(C), pages 772-778.
    3. Bai, Bin & Liu, Yigang & Wang, Qiuxia & Zou, Jian & Zhang, Hua & Jin, Hui & Li, Xianwen, 2019. "Experimental investigation on gasification characteristics of plastic wastes in supercritical water," Renewable Energy, Elsevier, vol. 135(C), pages 32-40.
    4. Jin, Hui & Wang, Huibo & Wu, Zhenqun & Ren, Zhenhua & Ou, Zhisong, 2019. "Numerical investigation on drag coefficient and flow characteristics of two biomass spherical particles in supercritical water," Renewable Energy, Elsevier, vol. 138(C), pages 11-17.
    5. Zhang, Yaning & Ke, Cunfeng & Gao, Yanan & Liu, Shiyu & Pan, Yaoyu & Zhou, Nan & Wang, Yunpu & Fan, Liangliang & Peng, Peng & Li, Bingxi & Ruan, Roger, 2019. "Syngas production from microwave-assisted air gasification of biomass: Part 2 model validation," Renewable Energy, Elsevier, vol. 140(C), pages 625-632.
    6. Zhang, Yaning & Ke, Cunfeng & Fu, Wenming & Cui, Yunlei & Rehan, Mirza Abdullah & Li, Bingxi, 2020. "Simulation of microwave-assisted gasification of biomass: A review," Renewable Energy, Elsevier, vol. 154(C), pages 488-496.
    7. Zhong, Hanbin & Xiong, Qingang & Zhu, Yuqin & Liang, Shengrong & Zhang, Juntao & Niu, Ben & Zhang, Xinyu, 2019. "CFD modeling of the effects of particle shrinkage and intra-particle heat conduction on biomass fast pyrolysis," Renewable Energy, Elsevier, vol. 141(C), pages 236-245.
    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. Wei, Depeng & Peng, Qingguo & Yin, Ruixue & Wang, Hao & Tian, Xinghua & Yan, Feng & Fu, Guang, 2024. "Optimizing micro power generation with blended fuels and porous media for H2-fueled combustion," Renewable Energy, Elsevier, vol. 233(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. Farahani, Moein Farmahini & Akbari, Shahin & Sadeghi, Sadegh & Bidabadi, Mehdi & Moghadam, Mohammadamir Ghasemian & Xu, Fei, 2020. "Analytical study of transient counter-flow non-premixed combustion of biomass in presence of thermal radiation," Renewable Energy, Elsevier, vol. 159(C), pages 312-325.
    2. Stolecka, Katarzyna & Rusin, Andrzej, 2020. "Analysis of hazards related to syngas production and transport," Renewable Energy, Elsevier, vol. 146(C), pages 2535-2555.
    3. Wang, Cui & Jin, Hui & Peng, Pai & Chen, Jia, 2019. "Thermodynamics and LCA analysis of biomass supercritical water gasification system using external recycle of liquid residual," Renewable Energy, Elsevier, vol. 141(C), pages 1117-1126.
    4. Zhang, Yaning & Ke, Cunfeng & Fu, Wenming & Cui, Yunlei & Rehan, Mirza Abdullah & Li, Bingxi, 2020. "Simulation of microwave-assisted gasification of biomass: A review," Renewable Energy, Elsevier, vol. 154(C), pages 488-496.
    5. Kaczor, Zuzanna & Buliński, Zbigniew & Werle, Sebastian, 2020. "Modelling approaches to waste biomass pyrolysis: a review," Renewable Energy, Elsevier, vol. 159(C), pages 427-443.
    6. Huang, Jijiang & Veksha, Andrei & Chan, Wei Ping & Giannis, Apostolos & Lisak, Grzegorz, 2022. "Chemical recycling of plastic waste for sustainable material management: A prospective review on catalysts and processes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    7. 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.
    8. Wang, Linzheng & Zhang, Ruizhi & Deng, Ruiqu & Liu, Zeqing & Luo, Yonghao, 2023. "Comprehensive parametric study of fixed-bed co-gasification process through Multiple Thermally Thick Particle (MTTP) model," Applied Energy, Elsevier, vol. 348(C).
    9. Qing Wang & Yufeng Liu & Xudong Zhang & Huicheng Fu & Sen Lin & Shengyuan Song & Cencen Niu, 2020. "Study on an AHP-Entropy-ANFIS Model for the Prediction of the Unfrozen Water Content of Sodium-Bicarbonate-Type Salinization Frozen Soil," Mathematics, MDPI, vol. 8(8), pages 1-20, July.
    10. Aminmahalati, Alireza & Fazlali, Alireza & Safikhani, Hamed, 2021. "Multi-objective optimization of CO boiler combustion chamber in the RFCC unit using NSGA II algorithm," Energy, Elsevier, vol. 221(C).
    11. Zhang, Bowei & Guo, Simao & Jin, Hui, 2022. "Production forecast analysis of BP neural network based on Yimin lignite supercritical water gasification experiment results," Energy, Elsevier, vol. 246(C).
    12. Zhou, Tao & Yang, Shiliang & Wei, Yonggang & Hu, Jianhang & Wang, Hua, 2020. "Impact of wide particle size distribution on the gasification performance of biomass in a bubbling fluidized bed gasifier," Renewable Energy, Elsevier, vol. 148(C), pages 534-547.
    13. Sun, Jianlong & Bai, Bin & Yu, Xinyue & Wang, Yujie & Zhou, Weihong & Jin, Hui, 2024. "Thermodynamic analysis of a solar-assisted supercritical water gasification system for poly-generation of hydrogen-heat-power production from waste plastics," Energy, Elsevier, vol. 307(C).
    14. Li, Xuantong & Wu, Hongtu & Wang, Weizuo & Wang, Junying & Wu, Chunfei & Jin, Hui, 2025. "Efficient conversion of CO2 to CH4 through supercritical water gasification of plastic with calcium looping," Renewable Energy, Elsevier, vol. 249(C).
    15. Zhang, Bowei & Zhao, Xiao & Zhang, Jie & Wang, Junying & Jin, Hui, 2023. "An investigation of the density of nano-confined subcritical/supercritical water," Energy, Elsevier, vol. 284(C).
    16. Brillard, A. & Brilhac, J.F., 2020. "Improvements of global models for the determination of the kinetic parameters associated to the thermal degradation of lignocellulosic materials under low heating rates," Renewable Energy, Elsevier, vol. 146(C), pages 1498-1509.
    17. Liu, Xiangyang & Wang, Tao & Chu, Jianchun & He, Maogang & Li, Qibin & Zhang, Ying, 2020. "Understanding lignin gasification in supercritical water using reactive molecular dynamics simulations," Renewable Energy, Elsevier, vol. 161(C), pages 858-866.
    18. Kabir, Faryal & Gulfraz, Muhammad & Raja, Ghazala Kaukab & Inam-ul-Haq, Muhammad & Awais, Muhammad & Mustafa, Muhammad Salman & Khan, Sami Ullah & Tlili, Iskander & Shadloo, Mostafa Safdari, 2020. "Screening of native hyper-lipid producing microalgae strains for biomass and lipid production," Renewable Energy, Elsevier, vol. 160(C), pages 1295-1307.
    19. Du, Shaohua & Yuan, Shouzheng & Zhou, Qiang, 2021. "Numerical investigation of co-gasification of coal and PET in a fluidized bed reactor," Renewable Energy, Elsevier, vol. 172(C), pages 424-439.
    20. Chen, Yunan & Yi, Lei & Wei, Wenwen & Jin, Hui & Guo, Liejin, 2022. "Hydrogen production by sewage sludge gasification in supercritical water with high heating rate batch reactor," Energy, Elsevier, vol. 238(PA).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:renene:v:159:y:2020:i:c:p:705-725. 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/renewable-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.