The objective of this paper is to model the
main reactions that take place in the Claus reactor furnace and compare it with
actual data and simulated process. Since the most important point is the
selection of suitable reaction conditions to increase the reactor performance, the model
is formulated to predict the performance of the Claus plant. To
substantiate the theoretical model, we used actual process condition and feed
composition in Shahid Hasheminejad Gas Refinery. Model equations have been
solved by using MATLAB program. Results from MATLAB are compared with those
from SULSIM?simulator and with actual plant data. The AAD (Average Absolute
Deviation) of modeling results with actual data is 2.07% and AAD of simulation
results with real data is 4.77%. Error values are very little and show accuracy
and precision of modeling and simulation. The predicting curve for different
parameters of the reactor furnace according to variable conditions and specifications
Cite this paper
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