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WhatsApp: +86 18203695377WEBMachine learningenabled analysis of product distribution and composition in biomasscoal copyrolysis. Alireza Shafizadeh, Hossein Shahbeik, Shahin Rafiee, Zahra Fardi, Keikhosro Karimi, Wanxi Peng, Xiangmeng Chen, Meisam Tabatabaei, Mortaza Aghbashlo.
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WhatsApp: +86 18203695377WEBMay 15, 2023 · Machine learning approaches are emerging as a promising method for assisting in the control of thermochemical processes. eXtreme Gradient Boosting (XGB) and Random Forest (RF) were applied, for the first time, for prediction of fuel properties of hydrochar from cohydrothermal carbonization of sewage sludge (SS) and biomass.
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WhatsApp: +86 18203695377WEBSemantic Scholar extracted view of "Prediction and evaluation of fuel properties of hydrochar from waste solid biomass: Machine learning algorithm based on proposed PSO–NN model" by Lin Mu et al. ... Investigation of the copyrolysis of coal slime and coffee industry residue based on machine learning methods and TGFTIR: Synergistic .
WhatsApp: +86 18203695377WEBDec 13, 2023 · From coal to biomass gasifiion: comparison of thermodynamic efficiency. Energy 32, 1248–1259 (2007). Article CAS Google Scholar
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WhatsApp: +86 18203695377WEBSep 13, 2023 · Experiments on the reactivity of the biomass, coal, and semicoke in nonisothermal heating shows that the reactivity is higher for biomass than for coal and semicoke: the mean reactivity is 7,, and min/°C, respectively. In these conditions, the semicoke is the least reactive fuel. The content of volatiles plays the main role during ...
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WhatsApp: +86 18203695377WEBApr 15, 2024 · Machine learning was used to model T α in pyrolysis from preliminary analyses of biomass.. NN and RF algorithms were explored, and crucial hyperparameters were optimized. • With R 2 of and RMES of K, RF model presented high prediction accuracy.. α was the dominant factor on T α and the compositional properties .
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WhatsApp: +86 18203695377WEBCofiring and biomass firing have become programs in coalfired power plants towards net zero emissions. Cofiring with biomass and other solid waste fuel in a coalfired power plant will undoubtedly impact the power plant's performance. This study evaluates machine learning algorithms for modeling thermal efficiency in a coalfired power plant. The .
WhatsApp: +86 18203695377WEBDec 11, 2023 · Before entering the briquette machine, the feed materials are mixed with water and wheat flour as a binder. Biomass and coal particles were sieved by using the BSS mesh size, and the mean particle size of each sample was calculated. In the present experiments, five sets of samples were prepared and shown in Fig. 2.
WhatsApp: +86 18203695377WEBMar 24, 2022 · Fig. 1: Key equations for biomass pyrolysis and inline steam reforming process. Step 1: biomass pyrolysis in the primary reactor. Step 2: steam reforming of the biomass pyrolysis volatiles in the ...
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WhatsApp: +86 18203695377WEBFeb 15, 2022 · Abstract. Coal and biomass cothermochemical conversion has caught significant attentions, in which the copyrolysis is always the primary process. The traditional pyrolysis kinetic models are developed individually for coal and biomass, in which the synergistic effect wasn't comprehensively considered. In the present study, we .
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