Route Optimization of Pipeline in Gas-Liquid Two-Phase Flow Based on Genetic Algorithm

• Main Authors: Jun Zhou, Guangchuan Liang, Tao Deng, Jing Gong
• Format: Article
• Language: English
• Published: Hindawi Limited 2017-01-01
• Series: International Journal of Chemical Engineering
• Online Access: http://dx.doi.org/10.1155/2017/1640303

This paper describes the problems in route optimization of two-phase pipelines. Combining the hydraulic calculation with route optimization theory, this paper establishes an automatic route optimization model and adopts the general genetic algorithm (gGA) and steady-state genetic algorithm (ssGA) to solve the model, respectively, gets the optimal route, and discusses the influence of parameters setting to the result. This algorithm was applied in determining pipelines routes in coalbed methane gathering and transporting system in Shanxi Province, China. The result shows that the algorithm is feasible, which improves the hydraulic properties by reducing the pressure drop along the line while the pipeline length is still acceptable.