In large processing sites the cost of fuel and power can be very significant and better management of the utility system can lead to significant cost savings. The R-curve is an analysis tool that provides guidelines for the cogeneration efficiency for a given site power-to-heat ratio demand of an ideal utility system. In this paper, the actual R-curve is combined with another graphical tool, representing the cost of cogeneration potential of a site. In fact in each case, actual R-curve is constructed and then another curve of ‘R-ratio vs. TAC’ is constructed to demonstrate the cost of each point of the R-Curve. Finally showing the results obtained for a case study, it is suggested to change sizes of the turbines in the utility system to improve the R-curve and also decrease the TAC for the same R-ratios. These changes are almost dependent to the case being studied.

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