Abstract

Suqiao Gas Storage Group is a seasonal peaking gas storage in North China, where energy consumption cost of the compressor gas injection is more than 30% of the operation cost of the gas storage. In the Suqiao Gas Storage, the main energy consumption equipment is the electrically driven compressor. Aimed at the problem of high energy consumption of compressor, the influencing factors of compressor energy consumption are found out by analyzing the formula of compressor indicated power. According to the gas injection status of the gas storage, the main influencing factors are the inlet pressure, outlet pressure, clearance and compression ratio of the compressor. The relationship between power consumption and various influencing factors is obtained by testing the power consumption of compressor and the main influencing factors. Based on the above analysis results, the optimization model of compressor energy consumption is established, the compressor energy optimization software was compiled by C#, and the calculation results of the software were applied on site, which reduced the energy consumption of the on-site compressor, saved the gas production and operation cost of the gas storage, and provided the basis for scientific storage of gas storage.

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