IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v204y2023icp774-787.html
   My bibliography  Save this article

Prediction of thermal degradation of biopolymers in biomass under pyrolysis atmosphere by means of machine learning

Author

Listed:
  • Kartal, Furkan
  • Dalbudak, Yağmur
  • Özveren, Uğur

Abstract

Biomass is the most widespread among renewable energy sources and offers many advantages. However, the heterogeneous structure of biomass brings many disadvantages. Therefore, characterization of thermal degradation of biopolymeric structures in biomass such as hemicellulose (HC), cellulose (CL), and lignin (LN) is very important for the efficiency of any biomass-based thermal process. On the other hand, the characterization of these biopolymers requires various experimental procedures that consume resources and time. Artificial neural networks (ANN) as a machine learning approach provide a remarkable opportunity to identify patterns in the complex structure of biomass fuels and their thermochemical degradation processes. In this study, a new model was developed for the first time to generate differential thermogravimetric analysis (DTG) curves for HC, CL and LN in biomass using proximate analysis results of raw biomass. DTG curves were evaluated using a ANN model developed with the open-source “TensorFlow” library in Python software. ANN model performed excellently with R2 values above 0.998. The results show that the newly developed model can estimate the thermal degradation for any temperature, so that biopolymer fractions in the degraded biomass can be calculated immediately, which has not been reported before.

Suggested Citation

  • Kartal, Furkan & Dalbudak, Yağmur & Özveren, Uğur, 2023. "Prediction of thermal degradation of biopolymers in biomass under pyrolysis atmosphere by means of machine learning," Renewable Energy, Elsevier, vol. 204(C), pages 774-787.
    • Handle: RePEc:eee:renene:v:204:y:2023:i:c:p:774-787
    DOI: 10.1016/j.renene.2023.01.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148123000174
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2023.01.017?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. Nimmanterdwong, Prathana & Chalermsinsuwan, Benjapon & Piumsomboon, Pornpote, 2021. "Prediction of lignocellulosic biomass structural components from ultimate/proximate analysis," Energy, Elsevier, vol. 222(C).
    2. Wang, Chang’an & Zhang, Xiaoming & Liu, Yinhe & Che, Defu, 2012. "Pyrolysis and combustion characteristics of coals in oxyfuel combustion," Applied Energy, Elsevier, vol. 97(C), pages 264-273.
    3. Goyal, H.B. & Seal, Diptendu & Saxena, R.C., 2008. "Bio-fuels from thermochemical conversion of renewable resources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(2), pages 504-517, February.
    4. Van de Velden, Manon & Baeyens, Jan & Brems, Anke & Janssens, Bart & Dewil, Raf, 2010. "Fundamentals, kinetics and endothermicity of the biomass pyrolysis reaction," Renewable Energy, Elsevier, vol. 35(1), pages 232-242.
    5. Asif, M. & Muneer, T., 2007. "Energy supply, its demand and security issues for developed and emerging economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(7), pages 1388-1413, September.
    6. Collard, François-Xavier & Blin, Joël, 2014. "A review on pyrolysis of biomass constituents: Mechanisms and composition of the products obtained from the conversion of cellulose, hemicelluloses and lignin," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 594-608.
    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. Ahmed, Gaffer & Kishore, Nanda, 2024. "Synergistic effects on properties of biofuel and biochar produced through co-feed pyrolysis of Erythrina indica and Azadirachta indica biomass," Renewable Energy, Elsevier, vol. 227(C).
    2. Burov, Nikita O. & Savelenko, Vsevolod D. & Ershov, Mikhail A. & Vikhritskaya, Anastasia O. & Tikhomirova, Ekaterina O. & Klimov, Nikita A. & Kapustin, Vladimir M. & Chernysheva, Elena A. & Sereda, Al, 2023. "Knowledge contribution from science to technology in the conceptualization model to produce sustainable aviation fuels from lignocellulosic biomass," Renewable Energy, Elsevier, vol. 215(C).
    3. Ahmed, Gaffer & Kishore, Nanda, 2023. "Fuel phase extraction from pyrolytic liquid of Azadirachta indica biomass followed by subsequent characterization of pyrolysis products," Renewable Energy, Elsevier, vol. 219(P1).

    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. Mohsin Raza & Abrar Inayat & Basim Abu-Jdayil, 2021. "Crude Glycerol as a Potential Feedstock for Future Energy via Thermochemical Conversion Processes: A Review," Sustainability, MDPI, vol. 13(22), pages 1-27, November.
    2. Mohsin Raza & Abrar Inayat & Ashfaq Ahmed & Farrukh Jamil & Chaouki Ghenai & Salman R. Naqvi & Abdallah Shanableh & Muhammad Ayoub & Ammara Waris & Young-Kwon Park, 2021. "Progress of the Pyrolyzer Reactors and Advanced Technologies for Biomass Pyrolysis Processing," Sustainability, MDPI, vol. 13(19), pages 1-42, October.
    3. Lohri, Christian Riuji & Rajabu, Hassan Mtoro & Sweeney, Daniel J. & Zurbrügg, Christian, 2016. "Char fuel production in developing countries – A review of urban biowaste carbonization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1514-1530.
    4. Al-Rumaihi, Aisha & Shahbaz, Muhammad & Mckay, Gordon & Mackey, Hamish & Al-Ansari, Tareq, 2022. "A review of pyrolysis technologies and feedstock: A blending approach for plastic and biomass towards optimum biochar yield," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    5. Jun Sheng Teh & Yew Heng Teoh & Heoy Geok How & Thanh Danh Le & Yeoh Jun Jie Jason & Huu Tho Nguyen & Dong Lin Loo, 2021. "The Potential of Sustainable Biomass Producer Gas as a Waste-to-Energy Alternative in Malaysia," Sustainability, MDPI, vol. 13(7), pages 1-31, April.
    6. M. N. Uddin & Kuaanan Techato & Juntakan Taweekun & Md Mofijur Rahman & M. G. Rasul & T. M. I. Mahlia & S. M. Ashrafur, 2018. "An Overview of Recent Developments in Biomass Pyrolysis Technologies," Energies, MDPI, vol. 11(11), pages 1-24, November.
    7. 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.
    8. Zhenghui Xu & Xiang Xiao & Ping Fang & Lyumeng Ye & Jianhang Huang & Haiwen Wu & Zijun Tang & Dongyao Chen, 2020. "Comparison of Combustion and Pyrolysis Behavior of the Peanut Shells in Air and N 2 : Kinetics, Thermodynamics and Gas Emissions," Sustainability, MDPI, vol. 12(2), pages 1-14, January.
    9. Alves, José Luiz Francisco & da Silva, Jean Constantino Gomes & Mumbach, Guilherme Davi & de Sena, Rennio Felix & Machado, Ricardo Antonio Francisco & Marangoni, Cintia, 2022. "Prospection of catole coconut (Syagrus cearensis) as a new bioenergy feedstock: Insights from physicochemical characterization, pyrolysis kinetics, and thermodynamics parameters," Renewable Energy, Elsevier, vol. 181(C), pages 207-218.
    10. Bhoi, P.R. & Ouedraogo, A.S. & Soloiu, V. & Quirino, R., 2020. "Recent advances on catalysts for improving hydrocarbon compounds in bio-oil of biomass catalytic pyrolysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 121(C).
    11. Cai, Junmeng & He, Yifeng & Yu, Xi & Banks, Scott W. & Yang, Yang & Zhang, Xingguang & Yu, Yang & Liu, Ronghou & Bridgwater, Anthony V., 2017. "Review of physicochemical properties and analytical characterization of lignocellulosic biomass," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 309-322.
    12. Kawale, Harshal D. & Kishore, Nanda, 2020. "Comparative study on pyrolysis of Delonix Regia, Pinewood sawdust and their co-feed for plausible bio-fuels production," Energy, Elsevier, vol. 203(C).
    13. Collard, François-Xavier & Blin, Joël, 2014. "A review on pyrolysis of biomass constituents: Mechanisms and composition of the products obtained from the conversion of cellulose, hemicelluloses and lignin," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 594-608.
    14. Cai, Junmeng & Xu, Di & Dong, Zhujun & Yu, Xi & Yang, Yang & Banks, Scott W. & Bridgwater, Anthony V., 2018. "Processing thermogravimetric analysis data for isoconversional kinetic analysis of lignocellulosic biomass pyrolysis: Case study of corn stalk," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2705-2715.
    15. Jalalifar, Salman & Masoudi, Mojtaba & Abbassi, Rouzbeh & Garaniya, Vikram & Ghiji, Mohammadmahdi & Salehi, Fatemeh, 2020. "A hybrid SVR-PSO model to predict a CFD-based optimised bubbling fluidised bed pyrolysis reactor," Energy, Elsevier, vol. 191(C).
    16. Mao, Xiao & Kang, Qinhao & Liu, Yang & Siyal, Asif Ali & Ao, Wenya & Ran, Chunmei & Fu, Jie & Deng, Zeyu & Song, Yongmeng & Dai, Jianjun, 2019. "Microwave-assisted pyrolysis of furfural residue in a continuously operated auger reactor: Biochar characterization and analysis," Energy, Elsevier, vol. 168(C), pages 573-584.
    17. Kan, Tao & Strezov, Vladimir & Evans, Tim J., 2016. "Lignocellulosic biomass pyrolysis: A review of product properties and effects of pyrolysis parameters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1126-1140.
    18. Gorugantu SriBala & Hans‐Heinrich Carstensen & Kevin M. Van Geem & Guy B. Marin, 2019. "Measuring biomass fast pyrolysis kinetics: State of the art," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(2), March.
    19. Yang, Yuhan & Wang, Tiancheng & Hu, Hongyun & Yao, Dingding & Zou, Chan & Xu, Kai & Li, Xian & Yao, Hong, 2021. "Influence of partial components removal on pyrolysis behavior of lignocellulosic biowaste in molten salts," Renewable Energy, Elsevier, vol. 180(C), pages 616-625.
    20. Primaz, Carmem T. & Ribes-Greus, Amparo & Jacques, Rosângela A., 2021. "Valorization of cotton residues for production of bio-oil and engineered biochar," Energy, Elsevier, vol. 235(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:renene:v:204:y:2023:i:c:p:774-787. 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.