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Journal Abstract Search

188 related items for PubMed ID: 26476163

  • 1. Application of artificial neural networks to co-combustion of hazelnut husk-lignite coal blends.
    Yıldız Z, Uzun H, Ceylan S, Topcu Y.
    Bioresour Technol; 2016 Jan; 200():42-7. PubMed ID: 26476163
    [Abstract] [Full Text] [Related]

  • 2. Investigation of thermal conversion characteristics and performance evaluation of co-combustion of pine sawdust and lignite coal using TGA, artificial neural network modeling and likelihood method.
    Buyukada M.
    Bioresour Technol; 2019 Sep; 287():121461. PubMed ID: 31121444
    [Abstract] [Full Text] [Related]

  • 3. Probabilistic uncertainty analysis based on Monte Carlo simulations of co-combustion of hazelnut hull and coal blends: Data-driven modeling and response surface optimization.
    Buyukada M.
    Bioresour Technol; 2017 Feb; 225():106-112. PubMed ID: 27888726
    [Abstract] [Full Text] [Related]

  • 4. Investigation of co-combustion characteristics of sewage sludge and coffee grounds mixtures using thermogravimetric analysis coupled to artificial neural networks modeling.
    Chen J, Liu J, He Y, Huang L, Sun S, Sun J, Chang K, Kuo J, Huang S, Ning X.
    Bioresour Technol; 2017 Feb; 225():234-245. PubMed ID: 27894042
    [Abstract] [Full Text] [Related]

  • 5. Thermogravimetric investigation of hydrochar-lignite co-combustion.
    Liu Z, Quek A, Kent Hoekman S, Srinivasan MP, Balasubramanian R.
    Bioresour Technol; 2012 Nov; 123():646-52. PubMed ID: 22960124
    [Abstract] [Full Text] [Related]

  • 6. Thermochemical and trace element behavior of coal gangue, agricultural biomass and their blends during co-combustion.
    Zhou C, Liu G, Cheng S, Fang T, Lam PK.
    Bioresour Technol; 2014 Aug; 166():243-51. PubMed ID: 24914998
    [Abstract] [Full Text] [Related]

  • 7. Combustion behavior of different kinds of torrefied biomass and their blends with lignite.
    Toptas A, Yildirim Y, Duman G, Yanik J.
    Bioresour Technol; 2015 Feb; 177():328-36. PubMed ID: 25496955
    [Abstract] [Full Text] [Related]

  • 8. Interactions of coal gangue and pine sawdust during combustion of their blends studied using differential thermogravimetric analysis.
    Zhang Y, Zhang Z, Zhu M, Cheng F, Zhang D.
    Bioresour Technol; 2016 Aug; 214():396-403. PubMed ID: 27155794
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  • 10. Pyrolysis kinetics of hazelnut husk using thermogravimetric analysis.
    Ceylan S, Topçu Y.
    Bioresour Technol; 2014 Mar; 156():182-8. PubMed ID: 24508656
    [Abstract] [Full Text] [Related]

  • 11. Co-combustion of peanut hull and coal blends: Artificial neural networks modeling, particle swarm optimization and Monte Carlo simulation.
    Buyukada M.
    Bioresour Technol; 2016 Sep; 216():280-6. PubMed ID: 27243606
    [Abstract] [Full Text] [Related]

  • 12. Influence of biomass on coal slime combustion characteristics based on TG-FTIR, principal component analysis, and artificial neural network.
    Ni Z, Bi H, Jiang C, Sun H, Zhou W, Qiu Z, He L, Lin Q.
    Sci Total Environ; 2022 Oct 15; 843():156983. PubMed ID: 35764150
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  • 15. Thermogravimetric analysis of the behavior of sub-bituminous coal and cellulosic ethanol residue during co-combustion.
    Buratti C, Barbanera M, Bartocci P, Fantozzi F.
    Bioresour Technol; 2015 Jun 15; 186():154-162. PubMed ID: 25817025
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  • 17. Kinetic models comparison for steam gasification of coal/biomass blend chars.
    Xu C, Hu S, Xiang J, Yang H, Sun L, Su S, Wang B, Chen Q, He L.
    Bioresour Technol; 2014 Nov 15; 171():253-9. PubMed ID: 25203234
    [Abstract] [Full Text] [Related]

  • 18. Combustion characteristics of Malaysian oil palm biomass, sub-bituminous coal and their respective blends via thermogravimetric analysis (TGA).
    Idris SS, Rahman NA, Ismail K.
    Bioresour Technol; 2012 Nov 15; 123():581-91. PubMed ID: 22944493
    [Abstract] [Full Text] [Related]

  • 19. A comparison of thermal behaviors of raw biomass, pyrolytic biochar and their blends with lignite.
    Liu Z, Balasubramanian R.
    Bioresour Technol; 2013 Oct 15; 146():371-378. PubMed ID: 23948274
    [Abstract] [Full Text] [Related]

  • 20. Co-combustion of sewage sludge and coffee grounds under increased O2/CO2 atmospheres: Thermodynamic characteristics, kinetics and artificial neural network modeling.
    Chen J, Xie C, Liu J, He Y, Xie W, Zhang X, Chang K, Kuo J, Sun J, Zheng L, Sun S, Buyukada M, Evrendilek F.
    Bioresour Technol; 2018 Feb 15; 250():230-238. PubMed ID: 29174900
    [Abstract] [Full Text] [Related]

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