FUZZY INFERENCE SYSTEM MODELING FOR BED ACTIVE CARBON RE-GENERATION PROCESS (CO2 Gas Factory Case)
ABSTRACT: Bed active carbon is
one of the most important materials that had great impact in determining level
of impurities in production of CO2 gas. In this particular factory case, there
is unavailability of standard duration time of heating and cooling and steam
flow rate for the re-generation process of bed active carbon. The paper
discusses the fuzzy inference system for modeling of re-generation process of
bed active carbon to find the optimum setting parameter. The fuzzy inference
system was build using real historical daily processing data. After validation
process, surface plot analysis was performed to find the optimum setting. The
result of re-generation parameter setting is 9-10 hours of heating process,
4.66-5.32 hours of cooling process, and 1500-2500 kg/hr of steam flow rate.
Author: I Nyoman Sutapa and
Iwan Halim Sahputra, M. D. Kurniawati
and S. Febriana
Journal Code: jptindustrigg050013
