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- W3198802014 abstract "This study presents the waste tire gasification in CO2 atmosphere aiming to produce higher H2 production. Therefore; the waste tire was gasified in horizontal tube reactor under different ranges of reaction temperature, heating rate, and residence time. Maximum H2 and gas yields of 46.28 mol % and 72.43 wt. % were obtained at higher temperature of 900 ℃, lower heating rate of 10 ℃/min, and lower residence time of 20 min. Tar and char products were decreased considerably from 15.34 to 4.24 wt. % and 35.23 to 23.25 wt. %, respectively. While, LHV and H2/CO molar ratio were ranged between 9.80-11.07 MJ/Nm3 and 1.41 to 2.18, respectively. Artificial neural network (ANN) model provided a strong relationship .i.e. the estimated regression coefficient (R2) values were obtained as; 0.90, 0.94, 0.93, and 0.96 for H2, CO, CO2, and CH4 respectively. The gasification was also carried out in thermogravimetric analyzer (TGA) under different heating rates hence; showed three different degradation stages. Kinetic parameters; activation energy (Ea), and R2 were estimated using Kissinger–Akahira–Sunose (KAS) model which were found to be 38.99 kJ/mol and 1.0 for stage 1, 63.01 kJ/mol and 0.94 for stage 2, and 84.73 kJ/mol and 0.91 for stage 3." @default.
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- W3198802014 date "2021-01-01" @default.
- W3198802014 modified "2023-09-27" @default.
- W3198802014 title "Enhanced Hydrogen Production from Waste Tires via CO <sub>2</sub>-Assisted Gasification by Using Artificial Neural Network and Thermogravimetric Analyses: Modelling and Product Analysis" @default.
- W3198802014 doi "https://doi.org/10.2139/ssrn.3915525" @default.
- W3198802014 hasPublicationYear "2021" @default.
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