modeling and optimization of industrial multi-stage compressed air system using actual variable effectiveness in hot regions

in this article, modeling and optimization of power consumption of two–stage compressed airsystem has been investigated. to do so, the two – stage compressed air cycle with intercooler offajr petroleum company was considered. this cycle includes two centrifugal compressors, ashell, and a tube intercooler. for modeling of power consumption, actual compressors isentropicefficiencies and intercooler thermal effectiveness are calculated from experimental data. in theseequations isentropic efficiency of compressors is a function of inlet temperature and thermaleffectiveness of the intercooler is a function of inlet air temperature, inlet water temperature ofthe intercooler and inlet volumetric flow rate of the cycle. for optimization of powerconsumption, the lagrangian method is used. power consumption and isentropic efficiency of thefirst and second stage compressors, thermal effectiveness of the intercooler and entropygeneration of compressors are considered as the objective function and optimization conditions,respectively. in comparison to the experimental data, the modeling provided suitable accuracy.the optimization effectively reduced the power consumption of the cycle, especially in summer,in a way that the minimum and maximum reduction was 2.9% and 9.6%, respectively.