Determine the Optimal Algorithm of Priority Panel in CNG Refueling Station to Minimize Energy Cost

Saadat-targhi, Morteza; Khadem, Javad; Farzaneh-Gord, Mahmood

doi:10.22067/jacsm.2021.72060.1052

Determine the Optimal Algorithm of Priority Panel in CNG Refueling Station to Minimize Energy Cost

Document Type : Original Article

Authors

Morteza Saadat-targhi ¹

Javad Khadem ²

Mahmood Farzaneh-Gord ³

¹ Esfarayen University of Technology, Esfarayen, North Khorasan, Iran

² Department of Mechanical Engineering, University of Birjand, Birjand, Iran

³ Mechanical Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran.

10.22067/jacsm.2021.72060.1052

Abstract

The fast filling process is the main process that occurs in the CNG refueling station. The main objective of the present study is to apply a thermodynamic analysis for a complete modeling of a CNG refueling station with several consecutive refueling . The results of the thermodynamic analysis have been validated against the experimental data and previous studies. The AGA8 Equation of State has been used to calculate the thermodynamic properties of CNG. There are many researches concentrated on the thermodynamic modeling of CNG refueling station, but didn't address the optimal algorithm of priority panel. Filling time minimizing, filling mass maximizing and average specific energy consumption minimizing have been employed as the objective function for the optimization problem. Finally, the optimal algorithm of priority panel has been determined as the main goal of the present study. The conclusive results of the optimization problem are presented. Achieving more accurate modeling and modeling the process of several consecutive refueling is one of the most important results of the present study. The optimal algorithm of priority panel are obtained for PPM225 algorithm . An economic analysis is performed to see the results more clearly. The results of the economic analysis show that 65,700,000,000 Rials (43,800,000 kWh) can be saved in one year.

Keywords

Modeling

Natural gas

Fast filling

Optimization

Subjects

Thermodynamics

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