Parameter Optimization and Performance Research: Radial Inflow Turbine in Ocean Thermal Energy Conversion
Combining one-dimensional parameter optimization and three-dimensional modeling optimization, a 30 kW radial inflow turbine for ocean thermal energy conversion was designed. In this paper, the effects of blade tip clearance, blade number, twist angle, and wheel–diameter ratio on the radial inflow tu...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/11/12/2293 |
| _version_ | 1797380466523766784 |
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| author | Yiming Wang Yun Chen Gang Xue Tianxu Zhang Yanjun Liu |
| author_facet | Yiming Wang Yun Chen Gang Xue Tianxu Zhang Yanjun Liu |
| author_sort | Yiming Wang |
| collection | DOAJ |
| description | Combining one-dimensional parameter optimization and three-dimensional modeling optimization, a 30 kW radial inflow turbine for ocean thermal energy conversion was designed. In this paper, the effects of blade tip clearance, blade number, twist angle, and wheel–diameter ratio on the radial inflow turbine were analyzed. The results show that the model prediction method based on 3D numerical simulation data can effectively complete secondary optimization of the radial turbine rotor. The prediction model can be used to directly obtain the optimal modeling parameter of the rotor. The tip clearance, blade number, twist angle, wheel–diameter ratio, and shaft efficiency were found to be 0.273 mm, 16, 43.378°, 0.241, and 88.467%, respectively. The optimized shaft efficiency of the turbine was found to be 2.239% higher than the one-dimensional design result, which is of great significance in reducing the system’s power generation costs and promoting the application of this approach in engineering power generation using ocean thermal energy. |
| first_indexed | 2024-03-08T20:37:40Z |
| format | Article |
| id | doaj.art-44b42b8395884f318b079c0311044e13 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-08T20:37:40Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-44b42b8395884f318b079c0311044e132023-12-22T14:18:50ZengMDPI AGJournal of Marine Science and Engineering2077-13122023-12-011112229310.3390/jmse11122293Parameter Optimization and Performance Research: Radial Inflow Turbine in Ocean Thermal Energy ConversionYiming Wang0Yun Chen1Gang Xue2Tianxu Zhang3Yanjun Liu4School of Mechanical Engineering, Key Laboratory of High-Efficiency and Clean Mechanical Manufacture of Ministry of Education, National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan 250061, ChinaInstitute of Marine Science and Technology, Shandong University, Qingdao 266237, ChinaInstitute of Marine Science and Technology, Shandong University, Qingdao 266237, ChinaSchool of Mechanical Engineering, Key Laboratory of High-Efficiency and Clean Mechanical Manufacture of Ministry of Education, National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan 250061, ChinaSchool of Mechanical Engineering, Key Laboratory of High-Efficiency and Clean Mechanical Manufacture of Ministry of Education, National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan 250061, ChinaCombining one-dimensional parameter optimization and three-dimensional modeling optimization, a 30 kW radial inflow turbine for ocean thermal energy conversion was designed. In this paper, the effects of blade tip clearance, blade number, twist angle, and wheel–diameter ratio on the radial inflow turbine were analyzed. The results show that the model prediction method based on 3D numerical simulation data can effectively complete secondary optimization of the radial turbine rotor. The prediction model can be used to directly obtain the optimal modeling parameter of the rotor. The tip clearance, blade number, twist angle, wheel–diameter ratio, and shaft efficiency were found to be 0.273 mm, 16, 43.378°, 0.241, and 88.467%, respectively. The optimized shaft efficiency of the turbine was found to be 2.239% higher than the one-dimensional design result, which is of great significance in reducing the system’s power generation costs and promoting the application of this approach in engineering power generation using ocean thermal energy.https://www.mdpi.com/2077-1312/11/12/2293ocean thermal energy conversionradial inflow turbineimpeller sculptsupport vector machineparameter optimization |
| spellingShingle | Yiming Wang Yun Chen Gang Xue Tianxu Zhang Yanjun Liu Parameter Optimization and Performance Research: Radial Inflow Turbine in Ocean Thermal Energy Conversion Journal of Marine Science and Engineering ocean thermal energy conversion radial inflow turbine impeller sculpt support vector machine parameter optimization |
| title | Parameter Optimization and Performance Research: Radial Inflow Turbine in Ocean Thermal Energy Conversion |
| title_full | Parameter Optimization and Performance Research: Radial Inflow Turbine in Ocean Thermal Energy Conversion |
| title_fullStr | Parameter Optimization and Performance Research: Radial Inflow Turbine in Ocean Thermal Energy Conversion |
| title_full_unstemmed | Parameter Optimization and Performance Research: Radial Inflow Turbine in Ocean Thermal Energy Conversion |
| title_short | Parameter Optimization and Performance Research: Radial Inflow Turbine in Ocean Thermal Energy Conversion |
| title_sort | parameter optimization and performance research radial inflow turbine in ocean thermal energy conversion |
| topic | ocean thermal energy conversion radial inflow turbine impeller sculpt support vector machine parameter optimization |
| url | https://www.mdpi.com/2077-1312/11/12/2293 |
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