Abstract
AbstractThis paper studies and compares the results of a simple and fast heuristic method, genetic algorithm (GA), and the exhaustive search method (ES) concerning the minimization of fuel consumption of a natural gas compressor station (CS). The results, obtained for an input data set [natural gas flow rate of 150 million standard cubic meters per day (MMSCMD), suction pressure of 5.45 MPa, and discharge pressure of 6.9 MPa], showed that for a CS with similar turbo-compressor (TC) units, all of the applied methods achieved the same solution (fuel consumption rate of 3.620 kg/s). By contrast, for a CS with dissimilar TC units, the GA and ES methods attained a lower fuel consumption rate (3.738 kg/s) than that obtained by the heuristic method (3.753 kg/s). The effect of changing the CS flow rate, suction, and discharge pressures on optimal fuel consumption rate was also investigated. In the first case study, a 100 MMSCMD (or 100%) increase in the flow rate, 8.3 bar (or 13%) increase in discharge pressur...
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