Abstract
Methanol (MeOH) is an important chemical which is mostly used as a fuel in power vehicles and engines. In recent years, methanol production from syngas derived from steam reforming of natural gas has been received much attention because of its economic advantages. In this paper, an artificial neural network (ANN) model was developed to simulate methanol production from fuel gas derived from steam reforming of natural gas. An experimental study was also carried out to validate the simulated results. Results showed that with increasing pressure from 10 to 30 bar methanol concentration and CO conversion increased from 21.1% to 22.3% and from 34.0% to 36.2%, respectively. Methanol concentration initially increased and then decreased with increasing reaction temperature.
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