Multi-Objective Structural Optimization Design of Horizontal-Axis Wind Turbine Blades Using the Non-Dominated Sorting Genetic Algorithm II and Finite Element Method
A multi-objective optimization method for the structural design of horizontal-axis wind turbine (HAWT) blades is presented. The main goal is to minimize the weight and cost of the blade which uses glass fiber reinforced plastic (GFRP) coupled with carbon fiber reinforced plastic (CFRP) materials. T...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2014-02-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1996-1073/7/2/988 |
| _version_ | 1811300090636140544 |
|---|---|
| author | Jie Zhu Xin Cai Pan Pan Rongrong Gu |
| author_facet | Jie Zhu Xin Cai Pan Pan Rongrong Gu |
| author_sort | Jie Zhu |
| collection | DOAJ |
| description | A multi-objective optimization method for the structural design of horizontal-axis wind turbine (HAWT) blades is presented. The main goal is to minimize the weight and cost of the blade which uses glass fiber reinforced plastic (GFRP) coupled with carbon fiber reinforced plastic (CFRP) materials. The number and the location of layers in the spar cap, the width of the spar cap and the position of the shear webs are employed as the design variables, while the strain limit, blade/tower clearance limit and vibration limit are taken into account as the constraint conditions. The optimization of the design of a commercial 1.5 MW HAWT blade is carried out by combining FEM analysis and a multi-objective evolutionary algorithm under ultimate (extreme) flap-wise load and edge-wise load conditions. The best solutions are described and the comparison of the obtained results with the original design is performed to prove the efficiency and applicability of the method. |
| first_indexed | 2024-04-13T06:45:12Z |
| format | Article |
| id | doaj.art-eb285ade66ef47d2a049419ae981f5ac |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-13T06:45:12Z |
| publishDate | 2014-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-eb285ade66ef47d2a049419ae981f5ac2022-12-22T02:57:36ZengMDPI AGEnergies1996-10732014-02-0172988100210.3390/en7020988en7020988Multi-Objective Structural Optimization Design of Horizontal-Axis Wind Turbine Blades Using the Non-Dominated Sorting Genetic Algorithm II and Finite Element MethodJie Zhu0Xin Cai1Pan Pan2Rongrong Gu3National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing 210098, ChinaNational Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing 210098, ChinaNational Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing 210098, ChinaNational Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing 210098, ChinaA multi-objective optimization method for the structural design of horizontal-axis wind turbine (HAWT) blades is presented. The main goal is to minimize the weight and cost of the blade which uses glass fiber reinforced plastic (GFRP) coupled with carbon fiber reinforced plastic (CFRP) materials. The number and the location of layers in the spar cap, the width of the spar cap and the position of the shear webs are employed as the design variables, while the strain limit, blade/tower clearance limit and vibration limit are taken into account as the constraint conditions. The optimization of the design of a commercial 1.5 MW HAWT blade is carried out by combining FEM analysis and a multi-objective evolutionary algorithm under ultimate (extreme) flap-wise load and edge-wise load conditions. The best solutions are described and the comparison of the obtained results with the original design is performed to prove the efficiency and applicability of the method.http://www.mdpi.com/1996-1073/7/2/988structural optimization designhorizontal-axis wind turbine (HAWT) bladesnon-dominated sorting genetic algorithm (NSGA) IIfinite element method (FEM)blade weight |
| spellingShingle | Jie Zhu Xin Cai Pan Pan Rongrong Gu Multi-Objective Structural Optimization Design of Horizontal-Axis Wind Turbine Blades Using the Non-Dominated Sorting Genetic Algorithm II and Finite Element Method Energies structural optimization design horizontal-axis wind turbine (HAWT) blades non-dominated sorting genetic algorithm (NSGA) II finite element method (FEM) blade weight |
| title | Multi-Objective Structural Optimization Design of Horizontal-Axis Wind Turbine Blades Using the Non-Dominated Sorting Genetic Algorithm II and Finite Element Method |
| title_full | Multi-Objective Structural Optimization Design of Horizontal-Axis Wind Turbine Blades Using the Non-Dominated Sorting Genetic Algorithm II and Finite Element Method |
| title_fullStr | Multi-Objective Structural Optimization Design of Horizontal-Axis Wind Turbine Blades Using the Non-Dominated Sorting Genetic Algorithm II and Finite Element Method |
| title_full_unstemmed | Multi-Objective Structural Optimization Design of Horizontal-Axis Wind Turbine Blades Using the Non-Dominated Sorting Genetic Algorithm II and Finite Element Method |
| title_short | Multi-Objective Structural Optimization Design of Horizontal-Axis Wind Turbine Blades Using the Non-Dominated Sorting Genetic Algorithm II and Finite Element Method |
| title_sort | multi objective structural optimization design of horizontal axis wind turbine blades using the non dominated sorting genetic algorithm ii and finite element method |
| topic | structural optimization design horizontal-axis wind turbine (HAWT) blades non-dominated sorting genetic algorithm (NSGA) II finite element method (FEM) blade weight |
| url | http://www.mdpi.com/1996-1073/7/2/988 |
| work_keys_str_mv | AT jiezhu multiobjectivestructuraloptimizationdesignofhorizontalaxiswindturbinebladesusingthenondominatedsortinggeneticalgorithmiiandfiniteelementmethod AT xincai multiobjectivestructuraloptimizationdesignofhorizontalaxiswindturbinebladesusingthenondominatedsortinggeneticalgorithmiiandfiniteelementmethod AT panpan multiobjectivestructuraloptimizationdesignofhorizontalaxiswindturbinebladesusingthenondominatedsortinggeneticalgorithmiiandfiniteelementmethod AT rongronggu multiobjectivestructuraloptimizationdesignofhorizontalaxiswindturbinebladesusingthenondominatedsortinggeneticalgorithmiiandfiniteelementmethod |