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Theoretical study and optimization of a CNG fueling sub-station compressor driven by linear motor

机译:直线电机驱动的CNG加油站式压缩机的理论研究与优化

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As an important equipment in compressed natural gas fueling sub-station (CNG sub-station), the CNG sub-station compressor compresses natural gas from CNG tube trailer to cascade reservoirs or CNG vehicle. In this paper, a two stage CNG sub-station compressor driven by linear motor was presented. Based on theoretical analysis of the proposed compressor, a mathematical model was developed to optimize the key parameters, which involved four sub modules: piston motion module, two stage compress module, linear motor module, and CNG tube trailer module. Based on the numerical simulation of a CNG sub-station compression process with the presented compressor, an adaptive mechanism of compression ratio and a utilization mechanism of kinetic energy were proposed. Moreover, an improved particle swarm optimization (PSO) algorithm was introduced to minimize energy consumption and maximize the average capacity of the compressor. The diameters of piston and clump weights of the two stages were optimized by the proposed algorithm. Finally, the performance of conventional solution and optimal solution were compared by simulation.
机译:作为压缩天然气加气站(CNG子站)的重要设备,CNG子站压缩机将天然气从CNG管拖车压缩到梯级储罐或CNG车辆。本文提出了一种由线性电动机驱动的二级压缩天然气变电站压缩机。在对所建议的压缩机进行理论分析的基础上,开发了一个数学模型以优化关键参数,该模型涉及四个子模块:活塞运动模块,两级压缩模块,线性电动机模块和CNG管挂车模块。基于所提出的压缩器对CNG变电站压缩过程的数值模拟,提出了压缩比的自适应机制和动能利用机制。此外,引入了一种改进的粒子群优化(PSO)算法,以最小化能耗并最大化压缩机的平均容量。通过提出的算法对两个阶段的活塞直径和团块重量进行了优化。最后,通过仿真比较了常规解法和最优解的性能。

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