Optimization procedure for variable speed turbine design
This article outlines a design procedure for variable speed Francis turbines using optimization software. A fully parameterized turbine design procedure is implemented in MATLAB $ ^{\circledR } $ . ANSYS $ ^{\circledR } $ CFX $ ^{\circledR } $ is used to create hill diagrams for each turbine design....
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2018-01-01
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| Series: | Engineering Applications of Computational Fluid Mechanics |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/19942060.2018.1507950 |
| _version_ | 1811309438572691456 |
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| author | Erik Tengs Pål-Tore Storli Martin Holst |
| author_facet | Erik Tengs Pål-Tore Storli Martin Holst |
| author_sort | Erik Tengs |
| collection | DOAJ |
| description | This article outlines a design procedure for variable speed Francis turbines using optimization software. A fully parameterized turbine design procedure is implemented in MATLAB $ ^{\circledR } $ . ANSYS $ ^{\circledR } $ CFX $ ^{\circledR } $ is used to create hill diagrams for each turbine design. An operation mode of no incidence losses is chosen, and the mean efficiency in the range $ \pm 20\% $ of the best efficiency point is used as optimization criterion. This characteristic is extracted for each design, and optiSLang $ ^{{\circledR }} $ is used for system coupling and optimization. In the global optimization loop, the downhill simplex method is used to maximize the turbine performance. For this article, the bounding geometry of the runner is kept as in the original configuration. This way, the performance of the different variable speed turbines can be compared directly. Two optimization parameters describing the blade leading-edge geometry have been used in the optimization procedure. The resulting design was an almost circular leading edge, and shows an increase in mean efficiency of 0.25% compared to the reference case. There was a significant change in the turbine performance, with close to no change at the best efficiency point, and an increase in efficiency of almost 1% at low rotational speed. The outlined procedure is parallelizable and can be performed within an industrial timeframe. |
| first_indexed | 2024-04-13T09:42:05Z |
| format | Article |
| id | doaj.art-8de743d0a1e84fa3b507bc08f94f8e05 |
| institution | Directory Open Access Journal |
| issn | 1994-2060 1997-003X |
| language | English |
| last_indexed | 2024-04-13T09:42:05Z |
| publishDate | 2018-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Engineering Applications of Computational Fluid Mechanics |
| spelling | doaj.art-8de743d0a1e84fa3b507bc08f94f8e052022-12-22T02:51:53ZengTaylor & Francis GroupEngineering Applications of Computational Fluid Mechanics1994-20601997-003X2018-01-0112165266110.1080/19942060.2018.15079501507950Optimization procedure for variable speed turbine designErik Tengs0Pål-Tore Storli1Martin Holst2Norwegian University of Science and TechnologyNorwegian University of Science and TechnologyEDR&Medeso ASThis article outlines a design procedure for variable speed Francis turbines using optimization software. A fully parameterized turbine design procedure is implemented in MATLAB $ ^{\circledR } $ . ANSYS $ ^{\circledR } $ CFX $ ^{\circledR } $ is used to create hill diagrams for each turbine design. An operation mode of no incidence losses is chosen, and the mean efficiency in the range $ \pm 20\% $ of the best efficiency point is used as optimization criterion. This characteristic is extracted for each design, and optiSLang $ ^{{\circledR }} $ is used for system coupling and optimization. In the global optimization loop, the downhill simplex method is used to maximize the turbine performance. For this article, the bounding geometry of the runner is kept as in the original configuration. This way, the performance of the different variable speed turbines can be compared directly. Two optimization parameters describing the blade leading-edge geometry have been used in the optimization procedure. The resulting design was an almost circular leading edge, and shows an increase in mean efficiency of 0.25% compared to the reference case. There was a significant change in the turbine performance, with close to no change at the best efficiency point, and an increase in efficiency of almost 1% at low rotational speed. The outlined procedure is parallelizable and can be performed within an industrial timeframe.http://dx.doi.org/10.1080/19942060.2018.1507950Numerical simulationsoptimizationhydraulic turbinesdesignCFD |
| spellingShingle | Erik Tengs Pål-Tore Storli Martin Holst Optimization procedure for variable speed turbine design Engineering Applications of Computational Fluid Mechanics Numerical simulations optimization hydraulic turbines design CFD |
| title | Optimization procedure for variable speed turbine design |
| title_full | Optimization procedure for variable speed turbine design |
| title_fullStr | Optimization procedure for variable speed turbine design |
| title_full_unstemmed | Optimization procedure for variable speed turbine design |
| title_short | Optimization procedure for variable speed turbine design |
| title_sort | optimization procedure for variable speed turbine design |
| topic | Numerical simulations optimization hydraulic turbines design CFD |
| url | http://dx.doi.org/10.1080/19942060.2018.1507950 |
| work_keys_str_mv | AT eriktengs optimizationprocedureforvariablespeedturbinedesign AT paltorestorli optimizationprocedureforvariablespeedturbinedesign AT martinholst optimizationprocedureforvariablespeedturbinedesign |