Wind Turbine Optimization for Minimum Cost of Energy in Low Wind Speed Areas Considering Blade Length and Hub Height
In recent years, sites with low annual average wind speeds have begun to be considered for the development of new wind farms. The majority of design methods for a wind turbine operating at low wind speed is to increase the blade length or hub height compared to a wind turbine operating in high wind...
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| Format: | Article |
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MDPI AG
2018-07-01
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| Series: | Applied Sciences |
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| Online Access: | http://www.mdpi.com/2076-3417/8/7/1202 |
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| author | Han Yang Jin Chen Xiaoping Pang |
| author_facet | Han Yang Jin Chen Xiaoping Pang |
| author_sort | Han Yang |
| collection | DOAJ |
| description | In recent years, sites with low annual average wind speeds have begun to be considered for the development of new wind farms. The majority of design methods for a wind turbine operating at low wind speed is to increase the blade length or hub height compared to a wind turbine operating in high wind speed sites. The cost of the rotor and the tower is a considerable portion of the overall wind turbine cost. This study investigates a method to trade-off the blade length and hub height during the wind turbine optimization at low wind speeds. A cost and scaling model is implemented to evaluate the cost of energy. The procedure optimizes the blades’ aero-structural performance considering blade length and the hub height simultaneously. The blade element momentum (BEM) code is used to evaluate blade aerodynamic performance and classical laminate theory (CLT) is applied to estimate the stiffness and mass per unit length of each blade section. The particle swarm optimization (PSO) algorithm is applied to determine the optimal wind turbine with the minimum cost of energy (COE). The results show that increasing rotor diameter is less efficient than increasing the hub height for a low wind speed turbine and the COE reduces 16.14% and 17.54% under two design schemes through the optimization. |
| first_indexed | 2024-04-13T14:35:33Z |
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| id | doaj.art-f7870a06b5df44ee831fa2a3d9f92cf6 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-04-13T14:35:33Z |
| publishDate | 2018-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-f7870a06b5df44ee831fa2a3d9f92cf62022-12-22T02:43:04ZengMDPI AGApplied Sciences2076-34172018-07-0187120210.3390/app8071202app8071202Wind Turbine Optimization for Minimum Cost of Energy in Low Wind Speed Areas Considering Blade Length and Hub HeightHan Yang0Jin Chen1Xiaoping Pang2State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044, ChinaState Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044, ChinaState Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044, ChinaIn recent years, sites with low annual average wind speeds have begun to be considered for the development of new wind farms. The majority of design methods for a wind turbine operating at low wind speed is to increase the blade length or hub height compared to a wind turbine operating in high wind speed sites. The cost of the rotor and the tower is a considerable portion of the overall wind turbine cost. This study investigates a method to trade-off the blade length and hub height during the wind turbine optimization at low wind speeds. A cost and scaling model is implemented to evaluate the cost of energy. The procedure optimizes the blades’ aero-structural performance considering blade length and the hub height simultaneously. The blade element momentum (BEM) code is used to evaluate blade aerodynamic performance and classical laminate theory (CLT) is applied to estimate the stiffness and mass per unit length of each blade section. The particle swarm optimization (PSO) algorithm is applied to determine the optimal wind turbine with the minimum cost of energy (COE). The results show that increasing rotor diameter is less efficient than increasing the hub height for a low wind speed turbine and the COE reduces 16.14% and 17.54% under two design schemes through the optimization.http://www.mdpi.com/2076-3417/8/7/1202wind turbine optimizationlow wind speed areascost of energyparticle swarm optimization |
| spellingShingle | Han Yang Jin Chen Xiaoping Pang Wind Turbine Optimization for Minimum Cost of Energy in Low Wind Speed Areas Considering Blade Length and Hub Height Applied Sciences wind turbine optimization low wind speed areas cost of energy particle swarm optimization |
| title | Wind Turbine Optimization for Minimum Cost of Energy in Low Wind Speed Areas Considering Blade Length and Hub Height |
| title_full | Wind Turbine Optimization for Minimum Cost of Energy in Low Wind Speed Areas Considering Blade Length and Hub Height |
| title_fullStr | Wind Turbine Optimization for Minimum Cost of Energy in Low Wind Speed Areas Considering Blade Length and Hub Height |
| title_full_unstemmed | Wind Turbine Optimization for Minimum Cost of Energy in Low Wind Speed Areas Considering Blade Length and Hub Height |
| title_short | Wind Turbine Optimization for Minimum Cost of Energy in Low Wind Speed Areas Considering Blade Length and Hub Height |
| title_sort | wind turbine optimization for minimum cost of energy in low wind speed areas considering blade length and hub height |
| topic | wind turbine optimization low wind speed areas cost of energy particle swarm optimization |
| url | http://www.mdpi.com/2076-3417/8/7/1202 |
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