Azizifar, S., Banooni, S. (2015). Modeling and Optimization of Industrial Multi-Stage Compressed Air System Using Actual Variable Effectiveness in Hot Regions. Journal of Modern Processes in Manufacturing and Production, 4(2), 29-46.
Shahram Azizifar; Salem Banooni. "Modeling and Optimization of Industrial Multi-Stage Compressed Air System Using Actual Variable Effectiveness in Hot Regions". Journal of Modern Processes in Manufacturing and Production, 4, 2, 2015, 29-46.
Azizifar, S., Banooni, S. (2015). 'Modeling and Optimization of Industrial Multi-Stage Compressed Air System Using Actual Variable Effectiveness in Hot Regions', Journal of Modern Processes in Manufacturing and Production, 4(2), pp. 29-46.
Azizifar, S., Banooni, S. Modeling and Optimization of Industrial Multi-Stage Compressed Air System Using Actual Variable Effectiveness in Hot Regions. Journal of Modern Processes in Manufacturing and Production, 2015; 4(2): 29-46.
Modeling and Optimization of Industrial Multi-Stage Compressed Air System Using Actual Variable Effectiveness in Hot Regions
Department of Mechanical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Iran
Abstract
In this article, modeling and optimization of power consumption of two–stage compressed air system has been investigated. To do so, the two – stage compressed air cycle with intercooler of FAJR Petroleum Company was considered. This cycle includes two centrifugal compressors, a shell, and a tube intercooler. For modeling of power consumption, actual compressors isentropic efficiencies and intercooler thermal effectiveness are calculated from experimental data. In these equations isentropic efficiency of compressors is a function of inlet temperature and thermal effectiveness of the intercooler is a function of inlet air temperature, inlet water temperature of the intercooler and inlet volumetric flow rate of the cycle. For optimization of power consumption, the Lagrangian method is used. Power consumption and isentropic efficiency of the first and second stage compressors, thermal effectiveness of the intercooler and entropy generation 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.
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