Optimal Design of a Micro Reversible Pump Turbine for Balancing Generation Mode and Storage Mode
Year: 2025
Type: article
Abstract: ABSTRACT The inefficiency of traditional micro horizontal pump units (double‐suction centrifugal pumps) when operating in reverse mode as water turbines has hindered their application in pumped storage systems. In response, this study proposes an optimization approach integrating Bezier curve control, bidirectional weighting, and genetic algorithms (GA) based on computational fluid dynamics (CFD) to enhance the reversible high‐efficiency performance of double‐suction centrifugal pumps. Bezier curve control is employed to regulate the blade meridional line, enabling the construction of a weighted objective function tailored for two modes. Subsequently, optimal parameter combinations are sought through GA optimization. Additionally, this research presents design considerations for the suction/pressurization chamber and volute to reduce the influence of secondary factors on unit efficiency. The resulting reversible pump‐turbine, based on the optimized blade parameters, not only maintains high efficiency in storage mode but also achieves comparable efficiency levels in generation mode. Model testing and simulation analysis of internal flow dynamics validate the efficacy and feasibility of the proposed optimization strategy, facilitating the integration of pump‐turbines into pumped storage systems.
Source: Energy Science & Engineering
DOI: 10.1002/ese3.70024
Authors: Tengjiao Guo, Jiale Pan, Ran Tao, Ruofu Xiao
Institution: China Agricultural University
Language: English
Subfield: Mechanics of Materials
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,780
Funder: State Grid Corporation of China
Award: G7821445333
OpenAlex ID: W4407758356
