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Pumps as Turbines (PATs) by Analysis with CFD Models

Authors :
Plua, Frank
Hidalgo, Victor
Cando, Edgar
Pérez-Sánchez, Modesto
López Jiménez, Petra Amparo
Source :
International Journal on Advanced Science, Engineering and Information Technology. 12:1098
Publication Year :
2022
Publisher :
Insight Society, 2022.

Abstract

[EN] Pumps as turbines (PATs) are the typical solution for electrification using micro hydropower plants (MHP) in the rural sector. Other engineering applications where lately the use of PATs have increased are irrigation, water supply, and energy recovery systems due to their availability, short delivery time, long service life, economic feasibility, construction, and maintenance advantages. However, selecting the suitable pump(s) is difficult because manufacturers only provide performance curves when operating in pump mode; therefore, there is no universal method to predict that issue. For this reason, theoretical, analytical, experimental, and numerical simulation research have been made to predict these curves and the PATs' performance. The present paper analyzes PATs with Computational Fluid Dynamics (CFD) based on advanced research. For this aim, information from a wide range of types of pumps with different rotation speeds was classified to examine case approaches, computational domains, mesh generation, boundary conditions, optimization of elements, and CFD package used to establish the effectiveness of this tool and to find characteristics which have not been enough investigated at present. Most studies used CFD simulations with ANSYS code and K-¿ turbulence closure model, which presented adequate results. Finally, this paper shows that numerical simulations with CFD analysis were successfully carried out to determine pump performance and predict curves in direct and reverse mode, improving certain components and conducting more profound research on certain specific issues.<br />The authors gratefully acknowledge the financial support provided by Escuela Politécnica Nacional for the development of the project: PIS 19-06, PII-DIM-2019-06, and Process Simulation Laboratory of Mechanical Engineering Faculty

Details

ISSN :
24606952 and 20885334
Volume :
12
Database :
OpenAIRE
Journal :
International Journal on Advanced Science, Engineering and Information Technology
Accession number :
edsair.doi.dedup.....71c19633e60ff19b60c96bcc7de97c5e
Full Text :
https://doi.org/10.18517/ijaseit.12.3.15290