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There are many long-distance gas pipeline put into operation in recent years, it make certain research value of single gas pipeline. Minimum energy consumption has always been the goal of pipeline enterprises, so this paper studies the optimal energy consumption based on energy consumption calculation. The implementation of steady state optimization aims to minimize the total compressing operation cost of the compressor stations. Two sub-problems arise from the operation scheme, the pipeline-level optimization and station-level optimization. The problem is solved by the improved dynamic programming method and enumerative algorithm, and develop the energy consumption software with Visual Basic.net. This paper uses the second Shanxi-Beijing pipeline as example. A variety of working conditions is optimized by optimization software. The study found: the software can accurately calculate the optimal results; the more the amount of output closer to design input, the smaller saving space through contrast to the actual; it is need to consider transportation costs and energy consumption and select the appropriate value, which can achieve maximum benefit.

Intelligent System and Minimum Energy Consumption Optimization for a Single Natural Gas Pipeline