IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v193y2022icp13-22.html
   My bibliography  Save this article

Combined parametric modelling of biomass devolatilisation process

Author

Listed:
  • Erić, Aleksandar
  • Cvetinović, Dejan
  • Milutinović, Nada
  • Škobalj, Predrag
  • Bakić, Vukman

Abstract

Devolatilisation is a process of volatile components formation that takes place immediately after the drying process and precedes combustion or gasification. The paper presents the procedure for determining the composition of devolatilisation products on the wheat residue biomass sample. The components considered devolatilisation products are carbon monoxide, carbon dioxide, hydrogen, water vapor, hydrogen sulfide, ammonia, ethene, methane, and tar. The procedure relies on two independent models that adopt two distinct principles. The first model of energy and mass balance does not consider the analysis of the influence of temperature, and therefore the system is indeterminate. The second model that involves the temperature influence is based on defining the equilibrium composition of gaseous components of the devolatilisation process by applying the principle of minimum Gibbs function. This model gives the gas-phase composition of the water/carbon dioxide, carbon monoxide/carbon dioxide, and hydrocarbons/carbon dioxide systems. Combining these two models using an iterative procedure leads to an exact composition of the devolatilisation products, including tar as a condensed product. The analysis was performed in the temperature range of 700–950 K. The model is validated against already published numerical and experimental work and presented a high level of agreement. The main advantage of the proposed combined parametric modelling relies on the simplicity of its input data which refers to the proximate and the ultimate analysis of the biomass feedstock.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:193:y:2022:i:c:p:13-22
    DOI: 10.1016/j.renene.2022.04.129
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148122005973
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2022.04.129?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. Xing, Jiangkuan & Wang, Haiou & Luo, Kun & Wang, Shuai & Bai, Yun & Fan, Jianren, 2019. "Predictive single-step kinetic model of biomass devolatilization for CFD applications: A comparison study of empirical correlations (EC), artificial neural networks (ANN) and random forest (RF)," Renewable Energy, Elsevier, vol. 136(C), pages 104-114.
    2. Naik, Satyanarayan & Goud, Vaibhav V. & Rout, Prasant K. & Jacobson, Kathlene & Dalai, Ajay K., 2010. "Characterization of Canadian biomass for alternative renewable biofuel," Renewable Energy, Elsevier, vol. 35(8), pages 1624-1631.
    3. Karim, Md Rezwanul & Bhuiyan, Arafat Ahmed & Sarhan, Abd Alhamid Rafea & Naser, Jamal, 2020. "CFD simulation of biomass thermal conversion under air/oxy-fuel conditions in a reciprocating grate boiler," Renewable Energy, Elsevier, vol. 146(C), pages 1416-1428.
    4. Thoharudin, & Hsiau, Shu-San & Chen, Yi-Shun & Yang, Shouyin, 2022. "Numerical modeling of biomass fast pyrolysis by using an improved comprehensive reaction scheme for energy analysis," Renewable Energy, Elsevier, vol. 181(C), pages 355-364.
    5. Machin, Einara Blanco & Pedroso, Daniel Travieso & Proenza, Nestor & Silveira, José Luz & Conti, Leonetto & Braga, Lúcia Bollini & Machin, Adrian Blanco, 2015. "Tar reduction in downdraft biomass gasifier using a primary method," Renewable Energy, Elsevier, vol. 78(C), pages 478-483.
    6. 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.
    7. Ngamsidhiphongsa, Nathada & Ghoniem, Ahmed F. & Arpornwichanop, Amornchai, 2021. "Detailed kinetic mechanism of devolatilization stage and CFD modeling of downdraft gasifiers using pelletized palm oil empty fruit bunches," Renewable Energy, Elsevier, vol. 179(C), pages 2267-2276.
    8. Niu, Miaomiao & Sun, Rongyue & Ding, Kuan & Gu, Haiming & Cui, Xiaobo & Wang, Liang & Hu, Jichu, 2022. "Synergistic effect on thermal behavior and product characteristics during co-pyrolysis of biomass and waste tire: Influence of biomass species and waste blending ratios," Energy, Elsevier, vol. 240(C).
    9. Liu, Xiaodan & Feng, Xuping & He, Yong, 2019. "Rapid discrimination of the categories of the biomass pellets using laser-induced breakdown spectroscopy," Renewable Energy, Elsevier, vol. 143(C), pages 176-182.
    10. Banja, Manjola & Sikkema, Richard & Jégard, Martin & Motola, Vincenzo & Dallemand, Jean-François, 2019. "Biomass for energy in the EU – The support framework," Energy Policy, Elsevier, vol. 131(C), pages 215-228.
    11. Emami Taba, Leila & Irfan, Muhammad Faisal & Wan Daud, Wan Ashri Mohd & Chakrabarti, Mohammed Harun, 2012. "The effect of temperature on various parameters in coal, biomass and CO-gasification: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5584-5596.
    Full references (including those not matched with items on IDEAS)

    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. Vikram, Shruti & Deore, Sujeetkumar P. & De Blasio, Cataldo & Mahajani, Sanjay M. & Kumar, Sandeep, 2023. "Air gasification of high-ash solid waste in a pilot-scale downdraft gasifier: Experimental and numerical analysis," Energy, Elsevier, vol. 270(C).
    2. Pitak, Lakkana & Sirisomboon, Panmanas & Saengprachatanarug, Khwantri & Wongpichet, Seree & Posom, Jetsada, 2021. "Rapid elemental composition measurement of commercial pellets using line-scan hyperspectral imaging analysis," Energy, Elsevier, vol. 220(C).
    3. Zhang, Ziyin & Pang, Shusheng & Levi, Tana, 2017. "Influence of AAEM species in coal and biomass on steam co-gasification of chars of blended coal and biomass," Renewable Energy, Elsevier, vol. 101(C), pages 356-363.
    4. Zhang, Zhikun & Zhu, Zongyuan & Shen, Boxiong & Liu, Lina, 2019. "Insights into biochar and hydrochar production and applications: A review," Energy, Elsevier, vol. 171(C), pages 581-598.
    5. Po-Chih Kuo & Wei Wu, 2014. "Design, Optimization and Energetic Efficiency of Producing Hydrogen-Rich Gas from Biomass Steam Gasification," Energies, MDPI, vol. 8(1), pages 1-17, December.
    6. Suopajärvi, Hannu & Pongrácz, Eva & Fabritius, Timo, 2013. "The potential of using biomass-based reducing agents in the blast furnace: A review of thermochemical conversion technologies and assessments related to sustainability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 511-528.
    7. Collazo, Joaquín & Pazó, José Antonio & Granada, Enrique & Saavedra, Ángeles & Eguía, Pablo, 2012. "Determination of the specific heat of biomass materials and the combustion energy of coke by DSC analysis," Energy, Elsevier, vol. 45(1), pages 746-752.
    8. Surup, Gerrit Ralf & Hunt, Andrew J. & Attard, Thomas & Budarin, Vitaliy L. & Forsberg, Fredrik & Arshadi, Mehrdad & Abdelsayed, Victor & Shekhawat, Dushyant & Trubetskaya, Anna, 2020. "The effect of wood composition and supercritical CO2 extraction on charcoal production in ferroalloy industries," Energy, Elsevier, vol. 193(C).
    9. Ruiz, J.A. & Juárez, M.C. & Morales, M.P. & Muñoz, P. & Mendívil, M.A., 2013. "Biomass gasification for electricity generation: Review of current technology barriers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 174-183.
    10. Salkuyeh, Yaser Khojasteh & Elkamel, Ali & Thé, Jesse & Fowler, Michael, 2016. "Development and techno-economic analysis of an integrated petroleum coke, biomass, and natural gas polygeneration process," Energy, Elsevier, vol. 113(C), pages 861-874.
    11. Gojiya, Anil & Deb, Dipankar & Iyer, Kannan K.R., 2019. "Feasibility study of power generation from agricultural residue in comparison with soil incorporation of residue," Renewable Energy, Elsevier, vol. 134(C), pages 416-425.
    12. 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.
    13. Nadia Cerone & Francesco Zimbardi, 2018. "Gasification of Agroresidues for Syngas Production," Energies, MDPI, vol. 11(5), pages 1-18, May.
    14. Jadwiga Wyszkowska & Agata Borowik & Magdalena Zaborowska & Jan Kucharski, 2023. "Calorific Value of Zea mays Biomass Derived from Soil Contaminated with Chromium (VI) Disrupting the Soil’s Biochemical Properties," Energies, MDPI, vol. 16(9), pages 1-19, April.
    15. Chen, Tao & Sjöblom, Jonas & Ström, Henrik, 2022. "Numerical investigations of soot generation during wood-log combustion," Applied Energy, Elsevier, vol. 325(C).
    16. de Sousa, Moisés Abreu & Cancino, Leonel R. & Deschamps, Isadora Schramm & Bazzo, Edson, 2024. "CRFD modeling of high-temperature reciprocating grate degradation in a 15 t/h eucalyptus wood chip boiler," Renewable Energy, Elsevier, vol. 230(C).
    17. 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.
    18. Singh, Yengkhom Disco & Mahanta, Pinakeswar & Bora, Utpal, 2017. "Comprehensive characterization of lignocellulosic biomass through proximate, ultimate and compositional analysis for bioenergy production," Renewable Energy, Elsevier, vol. 103(C), pages 490-500.
    19. Ud Din, Zia & Zainal, Z.A., 2016. "Biomass integrated gasification–SOFC systems: Technology overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1356-1376.
    20. He, Xinyan & Liu, Zhaoxia & Niu, Wenjuan & Yang, Li & Zhou, Tan & Qin, Di & Niu, Zhiyou & Yuan, Qiaoxia, 2018. "Effects of pyrolysis temperature on the physicochemical properties of gas and biochar obtained from pyrolysis of crop residues," Energy, Elsevier, vol. 143(C), pages 746-756.

    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:193:y:2022:i:c:p:13-22. 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.