基于遗传算法的天然气水合物管道提升优化

For the energy loss optimization study in the process of gas hydrate particle pipe hydraulic lifting, pipe hydraulic lifting process was optimized, which is the important part of deep-sea gas hydrate mining system. The optimization objective function is the consumed waterhead when lifting unit weight of the gas hydrate particles to a unit height along the vertical pipe, namely specific energy consumption. The optimization parameters are pipe inner diameter, slurry flow velocity, particle diameter, mineral density and volume fraction. Genetic algorithm of 1stopt software was used to get the minimum value of the objective function within the permitted scopes of the parameters,which is 0.153, the optimum operating condition was obtained that pipe diameter is 0.295m, slurry flow velocity is 1.534m/s, particle diameter is 10mm, mineral density is 1190kg/m3 and slurry volume fraction is 39.8%. The calculation results and the influence of the change of parameters on specific energy consumption were analyzed. It is concluded that influence of change of particle diameter on energy loss is minimum and that influence of mineral density is maximum.