IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v325y2022ics0306261922011102.html
   My bibliography  Save this article

Numerical investigations of soot generation during wood-log combustion

Author

Listed:
  • Chen, Tao
  • Sjöblom, Jonas
  • Ström, Henrik

Abstract

Soot formation is an important challenge in the design of modern wood stoves, as soot not only deteriorates the combustion efficiency but also poses threats to human health. Although soot formation in biomass combustion has been studied previously, the investigation at wood stove level is still rare due to its complex nature. In this paper, numerical simulations are performed to uncover the basic trends of soot formation during wood log combustion. The soot formation model is developed based on a particle-resolved biomass combustion algorithm, where the intraparticle heat and mass transfer effect, soot mass fraction and particle size are all resolved. Besides, simplified tar and precursor models are used in solving the reaction kinetics of soot formation. The integrated model is first validated through the combustion simulation of a micron-sized coal particle in air, where the predicted flame temperature and the soot volume fraction show improved agreement with experimental data compared to a previous modeling work. Thereafter, the soot formation during wood-log combustion in a confined stove is studied. Different combustion behaviors are observed for varying numbers of wood logs and for variations in the wood-log stacking. Additionally, the flow field temperature, tar, soot, and oxygen concentrations during the combustion are analyzed. Finally, the influences of the air intake rate, the relative distance between wood logs, and temperature boundary condition on the soot formation are discussed. This work provides useful information for the design and the optimization of modern wood stoves.

Suggested Citation

  • Chen, Tao & Sjöblom, Jonas & Ström, Henrik, 2022. "Numerical investigations of soot generation during wood-log combustion," Applied Energy, Elsevier, vol. 325(C).
    • Handle: RePEc:eee:appene:v:325:y:2022:i:c:s0306261922011102
    DOI: 10.1016/j.apenergy.2022.119841
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261922011102
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2022.119841?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. Trubetskaya, Anna & Timko, Michael T & Umeki, Kentaro, 2020. "Prediction of fast pyrolysis products yields using lignocellulosic compounds and ash contents," Applied Energy, Elsevier, vol. 257(C).
    2. Böhler, Lukas & Fallmann, Markus & Görtler, Gregor & Krail, Jürgen & Schittl, Florian & Kozek, Martin, 2021. "Emission limited model predictive control of a small-scale biomass furnace," Applied Energy, Elsevier, vol. 285(C).
    3. Bach-Oller, Albert & Furusjö, Erik & Umeki, Kentaro, 2019. "On the role of potassium as a tar and soot inhibitor in biomass gasification," Applied Energy, Elsevier, vol. 254(C).
    4. Anca-Couce, Andrés & Caposciutti, Gianluca & Gruber, Thomas & Kelz, Joachim & Bauer, Thomas & Hochenauer, Christoph & Scharler, Robert, 2019. "Single large wood log conversion in a stove: Experiments and modelling," Renewable Energy, Elsevier, vol. 143(C), pages 890-897.
    5. Trubetskaya, Anna & Souihi, Nabil & Umeki, Kentaro, 2019. "Categorization of tars from fast pyrolysis of pure lignocellulosic compounds at high temperature," Renewable Energy, Elsevier, vol. 141(C), pages 751-759.
    6. Cao, Wenhan & Martí-Rosselló, Teresa & Li, Jun & Lue, Leo, 2019. "Prediction of potassium compounds released from biomass during combustion," Applied Energy, Elsevier, vol. 250(C), pages 1696-1705.
    7. Böhler, Lukas & Krail, Jürgen & Görtler, Gregor & Kozek, Martin, 2020. "Fuzzy model predictive control for small-scale biomass combustion furnaces," Applied Energy, Elsevier, vol. 276(C).
    8. Font Palma, Carolina, 2013. "Modelling of tar formation and evolution for biomass gasification: A review," Applied Energy, Elsevier, vol. 111(C), pages 129-141.
    9. Ferreiro, A.I. & Segurado, R. & Costa, M., 2020. "Modelling soot formation during biomass gasification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    10. Scharler, Robert & Gruber, Thomas & Ehrenhöfer, Armin & Kelz, Joachim & Bardar, Ramin Mehrabian & Bauer, Thomas & Hochenauer, Christoph & Anca-Couce, Andrés, 2020. "Transient CFD simulation of wood log combustion in stoves," Renewable Energy, Elsevier, vol. 145(C), pages 651-662.
    11. Trubetskaya, Anna & Brown, Avery & Tompsett, Geoffrey A. & Timko, Michael T. & Kling, Jens & Broström, Markus & Andersen, Mogens Larsen & Umeki, Kentaro, 2018. "Characterization and reactivity of soot from fast pyrolysis of lignocellulosic compounds and monolignols," Applied Energy, Elsevier, vol. 212(C), pages 1489-1500.
    12. Venturini, Elisa & Vassura, Ivano & Zanetti, Cristian & Pizzi, Andrea & Toscano, Giuseppe & Passarini, Fabrizio, 2015. "Evaluation of non-steady state condition contribution to the total emissions of residential wood pellet stove," Energy, Elsevier, vol. 88(C), pages 650-657.
    13. Du, Yifan & Lin, Weigang & Glarborg, Peter, 2021. "Particulate emissions from a modern wood stove – Influence of KCl," Renewable Energy, Elsevier, vol. 170(C), pages 1215-1227.
    14. He, Qing & Guo, Qinghua & Umeki, Kentaro & Ding, Lu & Wang, Fuchen & Yu, Guangsuo, 2021. "Soot formation during biomass gasification: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(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. Wu, Runmin & Song, Xudong & Guo, Qinghua & Liu, Dong & Wei, Juntao & Wang, Jiaofei & Bai, Yonghui & Yu, Guangsuo, 2023. "Study on the application of laser diagnosis technology in the rapid real time measurement of soot," Applied Energy, Elsevier, vol. 350(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. He, Qing & Guo, Qinghua & Umeki, Kentaro & Ding, Lu & Wang, Fuchen & Yu, Guangsuo, 2021. "Soot formation during biomass gasification: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    2. Čespiva, Jakub & Wnukowski, Mateusz & Niedzwiecki, Lukasz & Skřínský, Jan & Vereš, Ján & Ochodek, Tadeáš & Pawlak-Kruczek, Halina & Borovec, Karel, 2020. "Characterization of tars from a novel, pilot scale, biomass gasifier working under low equivalence ratio regime," Renewable Energy, Elsevier, vol. 159(C), pages 775-785.
    3. Anca-Couce, A. & Hochenauer, C. & Scharler, R., 2021. "Bioenergy technologies, uses, market and future trends with Austria as a case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    4. Alejandro Lyons Cerón & Alar Konist & Heidi Lees & Oliver Järvik, 2021. "Effect of Woody Biomass Gasification Process Conditions on the Composition of the Producer Gas," Sustainability, MDPI, vol. 13(21), pages 1-17, October.
    5. Stanisławski, Rafał & Robert Junga, & Nitsche, Marek, 2022. "Reduction of the CO emission from wood pellet small-scale boiler using model-based control," Energy, Elsevier, vol. 243(C).
    6. Ferreiro, A.I. & Segurado, R. & Costa, M., 2020. "Modelling soot formation during biomass gasification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    7. Trubetskaya, Anna & Timko, Michael T & Umeki, Kentaro, 2020. "Prediction of fast pyrolysis products yields using lignocellulosic compounds and ash contents," Applied Energy, Elsevier, vol. 257(C).
    8. Qin, Tao & Lu, Qiuxiang & Xiang, Hao & Luo, Xiulin & Shenfu, Yuan, 2023. "Ca promoted Ni–Co bimetallic catalyzed coal pyrolysis and char steam gasification," Energy, Elsevier, vol. 282(C).
    9. Ahmed, A.M.A & Salmiaton, A. & Choong, T.S.Y & Wan Azlina, W.A.K.G., 2015. "Review of kinetic and equilibrium concepts for biomass tar modeling by using Aspen Plus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1623-1644.
    10. Neves, Daniel & Thunman, Henrik & Tarelho, Luís & Larsson, Anton & Seemann, Martin & Matos, Arlindo, 2014. "Method for online measurement of the CHON composition of raw gas from biomass gasifier," Applied Energy, Elsevier, vol. 113(C), pages 932-945.
    11. Li, Dun & Gao, Jianmin & Zhao, Ziqi & Du, Qian & Dong, Heming & Cui, Zhaoyang, 2022. "Effects of iron on coal pyrolysis-derived soot formation," Energy, Elsevier, vol. 249(C).
    12. Kuo, Po-Chih & Illathukandy, Biju & Wu, Wei & Chang, Jo-Shu, 2021. "Energy, exergy, and environmental analyses of renewable hydrogen production through plasma gasification of microalgal biomass," Energy, Elsevier, vol. 223(C).
    13. Erić, Aleksandar & Cvetinović, Dejan & Milutinović, Nada & Škobalj, Predrag & Bakić, Vukman, 2022. "Combined parametric modelling of biomass devolatilisation process," Renewable Energy, Elsevier, vol. 193(C), pages 13-22.
    14. Monteiro, Eliseu & Ismail, Tamer M. & Ramos, Ana & Abd El-Salam, M. & Brito, Paulo & Rouboa, Abel, 2018. "Experimental and modeling studies of Portuguese peach stone gasification on an autothermal bubbling fluidized bed pilot plant," Energy, Elsevier, vol. 142(C), pages 862-877.
    15. Michela Costa & Maurizio La Villetta & Daniele Piazzullo & Domenico Cirillo, 2021. "A Phenomenological Model of a Downdraft Biomass Gasifier Flexible to the Feedstock Composition and the Reactor Design," Energies, MDPI, vol. 14(14), pages 1-29, July.
    16. Buentello-Montoya, David & Zhang, Xiaolei & Li, Jun & Ranade, Vivek & Marques, Simão & Geron, Marco, 2020. "Performance of biochar as a catalyst for tar steam reforming: Effect of the porous structure," Applied Energy, Elsevier, vol. 259(C).
    17. Ruivo, Luís & Silva, Tiago & Neves, Daniel & Tarelho, Luís & Frade, Jorge, 2023. "Thermodynamic guidelines for improved operation of iron-based catalysts in gasification of biomass," Energy, Elsevier, vol. 268(C).
    18. Wang, Chao & Zhu, Lianfeng & Zhang, Mengjuan & Han, Zhennan & Jia, Xin & Bai, Dingrong & Duo, Wenli & Bi, Xiaotao & Abudula, Abuliti & Guan, Guoqing & Xu, Guangwen, 2022. "A two-stage circulated fluidized bed process to minimize tar generation of biomass gasification for fuel gas production," Applied Energy, Elsevier, vol. 323(C).
    19. Ravenni, Giulia & Sárossy, Zsuzsa & Ahrenfeldt, Jesper & Henriksen, Ulrik Birk, 2018. "Activity of chars and activated carbons for removal and decomposition of tar model compounds – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 1044-1056.
    20. Luigi F. Polonini & Domenico Petrocelli & Simone P. Parmigiani & Adriano M. Lezzi, 2019. "Influence on CO and PM Emissions of an Innovative Burner Pot for Pellet Stoves: An Experimental Study," Energies, MDPI, vol. 12(4), pages 1-13, February.

    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:appene:v:325:y:2022:i:c:s0306261922011102. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.