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A FAST LAGRANGIAN SIMULATION METHOD FOR FLOW ANALYSIS AND RUNNER DESIGN IN PELTON TURBINES
In the present work, an alternative numerical methodology is developed for a fast and effective simulation and analysis of the complex flow and energy conversion in Pelton impulse hydro turbines. The algorithm is based on the Lagrangian approach and the unsteady free-surface flow during the jet-buck...
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Published in: | Journal of hydrodynamics. Series B 2012-12, Vol.24 (6), p.930-941 |
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description | In the present work, an alternative numerical methodology is developed for a fast and effective simulation and analysis of the complex flow and energy conversion in Pelton impulse hydro turbines. The algorithm is based on the Lagrangian approach and the unsteady free-surface flow during the jet-bucket interaction is simulated by tracking the trajectories of representative fluid particles at very low computer cost. Modern regression tools are implemented in a new parameterization technique of the inner bucket surface. Key-feature of the model is the introduction of additional terms into the particle motion equations to account for various hydraulic losses and the flow spreading, which are regulated and evaluated with the aid of experimental data in a Laboratory Pelton turbine. The model is applied to study the jet-runner interaction in various operation conditions and then to perform numerical design optimization of the bucket shape, using a stochastic optimizer based on evolutionary algorithms. The obtained optimum runner attains remarkably higher hydraulic efficiency in the entire load range. Finally, a new small Pelton turbine (150 kW) is designed, manufactured and tested in the Laboratory, and its performance and efficiency verify the model predictions. |
doi_str_mv | 10.1016/S1001-6058(11)60321-1 |
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The algorithm is based on the Lagrangian approach and the unsteady free-surface flow during the jet-bucket interaction is simulated by tracking the trajectories of representative fluid particles at very low computer cost. Modern regression tools are implemented in a new parameterization technique of the inner bucket surface. Key-feature of the model is the introduction of additional terms into the particle motion equations to account for various hydraulic losses and the flow spreading, which are regulated and evaluated with the aid of experimental data in a Laboratory Pelton turbine. The model is applied to study the jet-runner interaction in various operation conditions and then to perform numerical design optimization of the bucket shape, using a stochastic optimizer based on evolutionary algorithms. The obtained optimum runner attains remarkably higher hydraulic efficiency in the entire load range. Finally, a new small Pelton turbine (150 kW) is designed, manufactured and tested in the Laboratory, and its performance and efficiency verify the model predictions.</description><identifier>ISSN: 1001-6058</identifier><identifier>EISSN: 1878-0342</identifier><identifier>DOI: 10.1016/S1001-6058(11)60321-1</identifier><language>eng</language><publisher>Singapore: Elsevier Ltd</publisher><subject>bucket shape parameterization ; Buckets ; Computational fluid dynamics ; Computer simulation ; Engineering ; Engineering Fluid Dynamics ; Fluid flow ; hydraulic efficiency ; Hydraulics ; Hydrology/Water Resources ; Lagrangian simulation ; Mathematical models ; Numerical and Computational Physics ; numerical design optimization ; Parametrization ; Pelton turbine ; Simulation ; Turbines ; 拉格朗日方法 ; 数值模拟方法 ; 模型应用 ; 水斗式水轮机 ; 流道设计 ; 流量分析 ; 自由表面流 ; 进化算法</subject><ispartof>Journal of hydrodynamics. 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Series B</title><addtitle>J Hydrodyn</addtitle><addtitle>Journal of Hydrodynamics</addtitle><description>In the present work, an alternative numerical methodology is developed for a fast and effective simulation and analysis of the complex flow and energy conversion in Pelton impulse hydro turbines. The algorithm is based on the Lagrangian approach and the unsteady free-surface flow during the jet-bucket interaction is simulated by tracking the trajectories of representative fluid particles at very low computer cost. Modern regression tools are implemented in a new parameterization technique of the inner bucket surface. Key-feature of the model is the introduction of additional terms into the particle motion equations to account for various hydraulic losses and the flow spreading, which are regulated and evaluated with the aid of experimental data in a Laboratory Pelton turbine. The model is applied to study the jet-runner interaction in various operation conditions and then to perform numerical design optimization of the bucket shape, using a stochastic optimizer based on evolutionary algorithms. The obtained optimum runner attains remarkably higher hydraulic efficiency in the entire load range. Finally, a new small Pelton turbine (150 kW) is designed, manufactured and tested in the Laboratory, and its performance and efficiency verify the model predictions.</description><subject>bucket shape parameterization</subject><subject>Buckets</subject><subject>Computational fluid dynamics</subject><subject>Computer simulation</subject><subject>Engineering</subject><subject>Engineering Fluid Dynamics</subject><subject>Fluid flow</subject><subject>hydraulic efficiency</subject><subject>Hydraulics</subject><subject>Hydrology/Water Resources</subject><subject>Lagrangian simulation</subject><subject>Mathematical models</subject><subject>Numerical and Computational Physics</subject><subject>numerical design optimization</subject><subject>Parametrization</subject><subject>Pelton turbine</subject><subject>Simulation</subject><subject>Turbines</subject><subject>拉格朗日方法</subject><subject>数值模拟方法</subject><subject>模型应用</subject><subject>水斗式水轮机</subject><subject>流道设计</subject><subject>流量分析</subject><subject>自由表面流</subject><subject>进化算法</subject><issn>1001-6058</issn><issn>1878-0342</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqFkFFv0zAQxyMEEmPwEZDM25AInB0nsZ-Qt6ZdpMxBSSoEL5brOiVVl2xxC5RPj0sGPE73cPfw-9-dfkHwGsN7DDj5UGMAHCYQswuM3yYQERziJ8EZZikLIaLkqZ__Is-DF85tAaKEAz0Lvgo0F3WDCrGohFzkQqI6v1kWoslLiW6y5rqcoXlZoXlRfkZCiuJLndd-mKFqKWVWoVlW5wuJcok-ZUXjQ82yusxlVr8MnrV65-yrh34eNPOsuboOi3KRX4kiNDQm-zBKOeWaW7bWKU1TlpKWrCIOBGvWUo4pcEOilnBmgK8s19TGKzArylgLLYvOg3fT2h-6b3W_UdvhMPb-oHLr3c_j9rj9pSwBTCABHHv8YsLvxuH-YN1e3XbO2N1O93Y4OIVJ6otBDB6NJ9SMg3OjbdXd2N3q8agwqJN59ce8OmlV-NS9eYV9LplyzvP9xo7_X3os-HEKWq_re-eDznS2N3bdjdbs1XroHt3w5uHlb0O_uffX__1MvW0Se_A3c82ctg</recordid><startdate>20121201</startdate><enddate>20121201</enddate><creator>ANAGNOSTOPOULOS, John S.</creator><creator>PAPANTONIS, Dimitris E.</creator><general>Elsevier Ltd</general><general>Springer Singapore</general><general>School of Mechanical Engineering, National Technical University of Athens, Greece</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W92</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SU</scope><scope>7TB</scope><scope>7U5</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20121201</creationdate><title>A FAST LAGRANGIAN SIMULATION METHOD FOR FLOW ANALYSIS AND RUNNER DESIGN IN PELTON TURBINES</title><author>ANAGNOSTOPOULOS, John S. ; PAPANTONIS, Dimitris E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c452t-37949a9e8da7477872f2b39021a8f491409c23f298c09be9a4e5b0cb488f0f83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>bucket shape parameterization</topic><topic>Buckets</topic><topic>Computational fluid dynamics</topic><topic>Computer simulation</topic><topic>Engineering</topic><topic>Engineering Fluid Dynamics</topic><topic>Fluid flow</topic><topic>hydraulic efficiency</topic><topic>Hydraulics</topic><topic>Hydrology/Water Resources</topic><topic>Lagrangian simulation</topic><topic>Mathematical models</topic><topic>Numerical and Computational Physics</topic><topic>numerical design optimization</topic><topic>Parametrization</topic><topic>Pelton turbine</topic><topic>Simulation</topic><topic>Turbines</topic><topic>拉格朗日方法</topic><topic>数值模拟方法</topic><topic>模型应用</topic><topic>水斗式水轮机</topic><topic>流道设计</topic><topic>流量分析</topic><topic>自由表面流</topic><topic>进化算法</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>ANAGNOSTOPOULOS, John S.</creatorcontrib><creatorcontrib>PAPANTONIS, Dimitris E.</creatorcontrib><collection>维普_期刊</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>维普中文期刊数据库</collection><collection>中文科技期刊数据库-工程技术</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>CrossRef</collection><collection>Environmental Engineering Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Journal of hydrodynamics. Series B</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>ANAGNOSTOPOULOS, John S.</au><au>PAPANTONIS, Dimitris E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A FAST LAGRANGIAN SIMULATION METHOD FOR FLOW ANALYSIS AND RUNNER DESIGN IN PELTON TURBINES</atitle><jtitle>Journal of hydrodynamics. Series B</jtitle><stitle>J Hydrodyn</stitle><addtitle>Journal of Hydrodynamics</addtitle><date>2012-12-01</date><risdate>2012</risdate><volume>24</volume><issue>6</issue><spage>930</spage><epage>941</epage><pages>930-941</pages><issn>1001-6058</issn><eissn>1878-0342</eissn><abstract>In the present work, an alternative numerical methodology is developed for a fast and effective simulation and analysis of the complex flow and energy conversion in Pelton impulse hydro turbines. The algorithm is based on the Lagrangian approach and the unsteady free-surface flow during the jet-bucket interaction is simulated by tracking the trajectories of representative fluid particles at very low computer cost. Modern regression tools are implemented in a new parameterization technique of the inner bucket surface. Key-feature of the model is the introduction of additional terms into the particle motion equations to account for various hydraulic losses and the flow spreading, which are regulated and evaluated with the aid of experimental data in a Laboratory Pelton turbine. The model is applied to study the jet-runner interaction in various operation conditions and then to perform numerical design optimization of the bucket shape, using a stochastic optimizer based on evolutionary algorithms. The obtained optimum runner attains remarkably higher hydraulic efficiency in the entire load range. 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subjects | bucket shape parameterization Buckets Computational fluid dynamics Computer simulation Engineering Engineering Fluid Dynamics Fluid flow hydraulic efficiency Hydraulics Hydrology/Water Resources Lagrangian simulation Mathematical models Numerical and Computational Physics numerical design optimization Parametrization Pelton turbine Simulation Turbines 拉格朗日方法 数值模拟方法 模型应用 水斗式水轮机 流道设计 流量分析 自由表面流 进化算法 |
title | A FAST LAGRANGIAN SIMULATION METHOD FOR FLOW ANALYSIS AND RUNNER DESIGN IN PELTON TURBINES |
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