Simultaneous efficiency improvement of pump and turbine modes for a counter-rotating type pump-turbine
This article presents a multi-objective optimization to improve the hydrodynamic performance of a counter-rotating type pump-turbine operated in pump and turbine modes. The hub and tip blade angles of impellers/runners with four blades, which were extracted through a sensitivity test, were optimized...
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2016-11-01
|
Series: | Advances in Mechanical Engineering |
Online Access: | https://doi.org/10.1177/1687814016676680 |
_version_ | 1818418561305018368 |
---|---|
author | Jin-Woo Kim Jun-Won Suh Young-Seok Choi Kyoung-Yong Lee Joon-Hyung Kim Toshiaki Kanemoto Jin-Hyuk Kim |
author_facet | Jin-Woo Kim Jun-Won Suh Young-Seok Choi Kyoung-Yong Lee Joon-Hyung Kim Toshiaki Kanemoto Jin-Hyuk Kim |
author_sort | Jin-Woo Kim |
collection | DOAJ |
description | This article presents a multi-objective optimization to improve the hydrodynamic performance of a counter-rotating type pump-turbine operated in pump and turbine modes. The hub and tip blade angles of impellers/runners with four blades, which were extracted through a sensitivity test, were optimized using a hybrid multi-objective genetic algorithm with a surrogate model based on Latin hypercube sampling. Three-dimensional steady incompressible Reynolds-averaged Navier–Stokes equations with the shear stress transport turbulence model were discretized via finite volume approximations and solved on a hexahedral grid to analyze the flow in the pump-turbine domain. For the major hydrodynamic performance parameters, the pump and turbine efficiencies were selected as the objective functions. Global Pareto-optimal solutions were searched using the response surface approximation surrogate model with the non-dominated sorting genetic algorithm, which is a multi-objective genetic algorithm. The trade-off between the two objective functions was determined and described with regard to the Pareto-optimal solutions. As a result, the pump and turbine efficiencies for the arbitrarily selected optimum designs in the Pareto-optimal solutions were increased as compared with the reference design. |
first_indexed | 2024-12-14T12:24:38Z |
format | Article |
id | doaj.art-7a12d6771930422d9ed8528f14d10722 |
institution | Directory Open Access Journal |
issn | 1687-8140 |
language | English |
last_indexed | 2024-12-14T12:24:38Z |
publishDate | 2016-11-01 |
publisher | SAGE Publishing |
record_format | Article |
series | Advances in Mechanical Engineering |
spelling | doaj.art-7a12d6771930422d9ed8528f14d107222022-12-21T23:01:22ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402016-11-01810.1177/1687814016676680Simultaneous efficiency improvement of pump and turbine modes for a counter-rotating type pump-turbineJin-Woo Kim0Jun-Won Suh1Young-Seok Choi2Kyoung-Yong Lee3Joon-Hyung Kim4Toshiaki Kanemoto5Jin-Hyuk Kim6Thermal & Fluid System R&D Group, Korea Institute of Industrial Technology, Cheonan-si, Republic of KoreaThermal & Fluid System R&D Group, Korea Institute of Industrial Technology, Cheonan-si, Republic of KoreaThermal & Fluid System R&D Group, Korea Institute of Industrial Technology, Cheonan-si, Republic of KoreaThermal & Fluid System R&D Group, Korea Institute of Industrial Technology, Cheonan-si, Republic of KoreaThermal & Fluid System R&D Group, Korea Institute of Industrial Technology, Cheonan-si, Republic of KoreaInstitute of Ocean Energy, Saga University, Saga, JapanThermal & Fluid System R&D Group, Korea Institute of Industrial Technology, Cheonan-si, Republic of KoreaThis article presents a multi-objective optimization to improve the hydrodynamic performance of a counter-rotating type pump-turbine operated in pump and turbine modes. The hub and tip blade angles of impellers/runners with four blades, which were extracted through a sensitivity test, were optimized using a hybrid multi-objective genetic algorithm with a surrogate model based on Latin hypercube sampling. Three-dimensional steady incompressible Reynolds-averaged Navier–Stokes equations with the shear stress transport turbulence model were discretized via finite volume approximations and solved on a hexahedral grid to analyze the flow in the pump-turbine domain. For the major hydrodynamic performance parameters, the pump and turbine efficiencies were selected as the objective functions. Global Pareto-optimal solutions were searched using the response surface approximation surrogate model with the non-dominated sorting genetic algorithm, which is a multi-objective genetic algorithm. The trade-off between the two objective functions was determined and described with regard to the Pareto-optimal solutions. As a result, the pump and turbine efficiencies for the arbitrarily selected optimum designs in the Pareto-optimal solutions were increased as compared with the reference design.https://doi.org/10.1177/1687814016676680 |
spellingShingle | Jin-Woo Kim Jun-Won Suh Young-Seok Choi Kyoung-Yong Lee Joon-Hyung Kim Toshiaki Kanemoto Jin-Hyuk Kim Simultaneous efficiency improvement of pump and turbine modes for a counter-rotating type pump-turbine Advances in Mechanical Engineering |
title | Simultaneous efficiency improvement of pump and turbine modes for a counter-rotating type pump-turbine |
title_full | Simultaneous efficiency improvement of pump and turbine modes for a counter-rotating type pump-turbine |
title_fullStr | Simultaneous efficiency improvement of pump and turbine modes for a counter-rotating type pump-turbine |
title_full_unstemmed | Simultaneous efficiency improvement of pump and turbine modes for a counter-rotating type pump-turbine |
title_short | Simultaneous efficiency improvement of pump and turbine modes for a counter-rotating type pump-turbine |
title_sort | simultaneous efficiency improvement of pump and turbine modes for a counter rotating type pump turbine |
url | https://doi.org/10.1177/1687814016676680 |
work_keys_str_mv | AT jinwookim simultaneousefficiencyimprovementofpumpandturbinemodesforacounterrotatingtypepumpturbine AT junwonsuh simultaneousefficiencyimprovementofpumpandturbinemodesforacounterrotatingtypepumpturbine AT youngseokchoi simultaneousefficiencyimprovementofpumpandturbinemodesforacounterrotatingtypepumpturbine AT kyoungyonglee simultaneousefficiencyimprovementofpumpandturbinemodesforacounterrotatingtypepumpturbine AT joonhyungkim simultaneousefficiencyimprovementofpumpandturbinemodesforacounterrotatingtypepumpturbine AT toshiakikanemoto simultaneousefficiencyimprovementofpumpandturbinemodesforacounterrotatingtypepumpturbine AT jinhyukkim simultaneousefficiencyimprovementofpumpandturbinemodesforacounterrotatingtypepumpturbine |