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The neural network model based on the relation between the reactor temperature and heat input to the reactor is used.
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The reactor temperature between 150 and 210 °C was maintained by circulation of oil from a thermostat and remained constant confirming the efficient heat exchange without hot-spot formation.
The product gas composition, and gas and wall temperatures across the reactor were considered at 50, 60 and 70 bar(g), while the reactor temperature was varied between 1200 and 1400 °C.
Good agreement is obtained between predicted and measured product yields as functions of the reactor temperature.
The reactor temperature was controlled via a PID temperature controller.
The first reactor requires a recirculation of a portion of the reactor outlet gas for the control of the reactor temperature.
A Digi-Sense DualLogR Thermocouple Meter was used to monitor the reactor temperature during the run.
The reactor temperature, pH, and dissolved oxygen (DO2) were monitored using specific probes (Mettler-Toledo®).
The residence time setpoint in the reactor was 12 min and the reactor temperature was maintained at 185°C by injection of steam.
For slurry feeding rates in the range 0.42 1.26 g/min, H2O C molar ratios in the range 1.48 1.98, and absolute reactor pressures in the range 1 6 bar, the nominal reactor temperature was between 1009 and 1273 °C yielding high-quality syngas with a carbon conversion up to 94% within residence times of less than 5 s.
The reaction time was based upon the internal reactor temperature, which was monitored using a thermocouple probe inserted into one of the reactors.
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