Shape optimization of bi-directional flow passage components based on a genetic algorithm and computational fluid dynamics. Issue 8 (3rd August 2018)

• Record Type: Journal Article
• Authors: Gao, Xueping; Tian, Ye; Sun, Bowen
• Is Part Of: Engineering optimization. Volume 50:Issue 8(2018)
• Page Start: 1287
• Page End: 1303
• Publication Date: 2018-08-03
• Subjects: Inlet/outlet diffusion segment -- genetic algorithm -- shape optimization -- computational fluid dynamics; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2017.1400543
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: The inlet/outlet is an important part of a water conveyance system in a pumped storage power station (PSPS). Its hydraulic characteristics are directly related to the operation and economic benefit of the PSPS. Frequent changes between inflow and outflow operations pose significant challenges in the design of the inlet/outlet diffusion segment shape. In this study, an effective optimization method, including three-dimensional parametric modelling, computational fluid dynamics and a genetic algorithm, is introduced and coupled to the design of the diffusion segment shape. The hydraulic characteristics of bi-directional flow, including the head loss, velocity uneven distribution and uneven discharge distribution, are selected as the objective function in the optimization method. Using this method, the recommended shape of the inlet/outlet is studied and its hydraulic characteristics are discussed. The results indicate that the optimized inlet/outlet has better performance.