Identify and prioritization of factors affecting the energy consumption in CNG stations by using data envelopment analysis

With regard to the issue of the use of CNG fuel has been carried out to reduce fuel costs, lower pollution and saving natural resources soreduce costs of stations and increase profits per cubic meter of gas is one of the most important factors affecting investment in the industry to attract applicants. Also, given the widespread CNG industry, Installation of energy efficient strategies can be effective in reducing product cost. In this study, using Shannon entropy to weight of criteria "Brand Equipment", "energy efficiency" and "energy consumption" was calculated. Using TOPSIS technique to prioritize key indicators affecting the energy consumption in stations then to ensure the identification of the parameters the analytic hierarchy process (AHP) and expert opinion was used. Finally, the indicators were prioritized by using DEA. Results indicate that there is nineteen main indicators are effective in reducing energy consumption of stations that The indicators’ main electric compressor "," Main fan compressor "," Electric water pump "," fan pump oil "and" water heater "has been the most effective also efficient and inefficient use of equipment (as one of the criteria affecting the energy station) were identified in various capacities of station.