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Transient protection optimization of pipelines using air-chamber and air-inlet valves

机译:使用气室和进气阀的管道瞬态保护优化

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摘要

Air-chambers are mechanical devices capable of decreasing positive and increasing negative water-hammer pressures in pumping pipelines; however, large size air-chambers might increase the costs substantially. Also, air-inlet valves are powerful devices which can efficiently control negative pressures. Obtaining the best protection scheme where transient pressures are maintained in a safe bound while minimizing the protection cost is an optimization problem. In this research, a single objective optimization model is introduced in which the types and locations of air-inlet valves and the size of air-chamber are determined such that the total cost is minimized while all pressures along the pipeline are in the allowable range. Maximum and minimum transient pressures are considered as constraints in the optimization analysis using penalty functions. A self-adaptive real genetic algorithm is used to solve the problem. The model is applied to a real transmission pipeline with 4 m(3)/s flow capacity. The results indicate that the proposed model is capable to determine proper number of air-inlet valves, their locations and types so that the air-chamber size and the total cost are substantially reduced.
机译:气室是能够降低泵送管道中正向和负向的水锤压力的机械设备;但是,大型气室可能会大大增加成本。而且,进气阀是可以有效控制负压的强大装置。在瞬态压力保持在安全范围内同时将保护成本降至最低的情况下,获得最佳保护方案是一个优化问题。在这项研究中,引入了一个单一的目标优化模型,其中确定进气阀的类型和位置以及腔室的尺寸,以使总成本最小化,同时沿管道的所有压力均在允许范围内。在使用惩罚函数的优化分析中,最大和最小瞬态压力被视为约束。一种自适应的真实遗传算法用于解决该问题。该模型应用于流量为4 m(3)/ s的实际传输管道。结果表明,提出的模型能够确定进气阀的适当数量,其位置和类型,从而大大减少了进气室的尺寸和总成本。

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