Optimization of a Small Wind Turbine for a Rural Area: A Case Study of Deniliquin, New South Wales, Australia
The performance of a wind turbine is affected by wind conditions and blade shape. This study aimed to optimize the performance of a 20 kW horizontal-axis wind turbine (HAWT) under local wind conditions at Deniliquin, New South Wales, Australia. Ansys Fluent (version 18.2, Canonsburg, PA, USA) was us...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-05-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/13/9/2292 |
| _version_ | 1797568728064327680 |
|---|---|
| author | Nour Khlaifat Ali Altaee John Zhou Yuhan Huang Ali Braytee |
| author_facet | Nour Khlaifat Ali Altaee John Zhou Yuhan Huang Ali Braytee |
| author_sort | Nour Khlaifat |
| collection | DOAJ |
| description | The performance of a wind turbine is affected by wind conditions and blade shape. This study aimed to optimize the performance of a 20 kW horizontal-axis wind turbine (HAWT) under local wind conditions at Deniliquin, New South Wales, Australia. Ansys Fluent (version 18.2, Canonsburg, PA, USA) was used to investigate the aerodynamic performance of the HAWT. The effects of four Reynolds-averaged Navier–Stokes turbulence models on predicting the flows under separation condition were examined. The transition SST model had the best agreement with the NREL CER data. Then, the aerodynamic shape of the rotor was optimized to maximize the annual energy production (AEP) in the Deniliquin region. Statistical wind analysis was applied to define the Weibull function and scale parameters which were 2.096 and 5.042 m/s, respectively. The HARP_Opt (National Renewable Energy Laboratory, Golden, CO, USA) was enhanced with design variables concerning the shape of the blade, rated rotational speed, and pitch angle. The pitch angle remained at 0° while the rising wind speed improved rotor speed to 148.4482 rpm at rated speed. This optimization improved the AEP rate by 9.068% when compared to the original NREL design. |
| first_indexed | 2024-03-10T20:01:04Z |
| format | Article |
| id | doaj.art-275f7a3cf9544100a9248979d36f2c97 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T20:01:04Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-275f7a3cf9544100a9248979d36f2c972023-11-19T23:33:27ZengMDPI AGEnergies1996-10732020-05-01139229210.3390/en13092292Optimization of a Small Wind Turbine for a Rural Area: A Case Study of Deniliquin, New South Wales, AustraliaNour Khlaifat0Ali Altaee1John Zhou2Yuhan Huang3Ali Braytee4Centre of Green Technology, University of Technology Sydney, Ultimo 2007, AustraliaCentre of Green Technology, University of Technology Sydney, Ultimo 2007, AustraliaCentre of Green Technology, University of Technology Sydney, Ultimo 2007, AustraliaCentre of Green Technology, University of Technology Sydney, Ultimo 2007, AustraliaCentre of Green Technology, University of Technology Sydney, Ultimo 2007, AustraliaThe performance of a wind turbine is affected by wind conditions and blade shape. This study aimed to optimize the performance of a 20 kW horizontal-axis wind turbine (HAWT) under local wind conditions at Deniliquin, New South Wales, Australia. Ansys Fluent (version 18.2, Canonsburg, PA, USA) was used to investigate the aerodynamic performance of the HAWT. The effects of four Reynolds-averaged Navier–Stokes turbulence models on predicting the flows under separation condition were examined. The transition SST model had the best agreement with the NREL CER data. Then, the aerodynamic shape of the rotor was optimized to maximize the annual energy production (AEP) in the Deniliquin region. Statistical wind analysis was applied to define the Weibull function and scale parameters which were 2.096 and 5.042 m/s, respectively. The HARP_Opt (National Renewable Energy Laboratory, Golden, CO, USA) was enhanced with design variables concerning the shape of the blade, rated rotational speed, and pitch angle. The pitch angle remained at 0° while the rising wind speed improved rotor speed to 148.4482 rpm at rated speed. This optimization improved the AEP rate by 9.068% when compared to the original NREL design.https://www.mdpi.com/1996-1073/13/9/2292horizontal-axis wind turbine (HAWT)optimizationcomputational fluid dynamics (CFD)aerodynamicgenetic algorithm |
| spellingShingle | Nour Khlaifat Ali Altaee John Zhou Yuhan Huang Ali Braytee Optimization of a Small Wind Turbine for a Rural Area: A Case Study of Deniliquin, New South Wales, Australia Energies horizontal-axis wind turbine (HAWT) optimization computational fluid dynamics (CFD) aerodynamic genetic algorithm |
| title | Optimization of a Small Wind Turbine for a Rural Area: A Case Study of Deniliquin, New South Wales, Australia |
| title_full | Optimization of a Small Wind Turbine for a Rural Area: A Case Study of Deniliquin, New South Wales, Australia |
| title_fullStr | Optimization of a Small Wind Turbine for a Rural Area: A Case Study of Deniliquin, New South Wales, Australia |
| title_full_unstemmed | Optimization of a Small Wind Turbine for a Rural Area: A Case Study of Deniliquin, New South Wales, Australia |
| title_short | Optimization of a Small Wind Turbine for a Rural Area: A Case Study of Deniliquin, New South Wales, Australia |
| title_sort | optimization of a small wind turbine for a rural area a case study of deniliquin new south wales australia |
| topic | horizontal-axis wind turbine (HAWT) optimization computational fluid dynamics (CFD) aerodynamic genetic algorithm |
| url | https://www.mdpi.com/1996-1073/13/9/2292 |
| work_keys_str_mv | AT nourkhlaifat optimizationofasmallwindturbineforaruralareaacasestudyofdeniliquinnewsouthwalesaustralia AT alialtaee optimizationofasmallwindturbineforaruralareaacasestudyofdeniliquinnewsouthwalesaustralia AT johnzhou optimizationofasmallwindturbineforaruralareaacasestudyofdeniliquinnewsouthwalesaustralia AT yuhanhuang optimizationofasmallwindturbineforaruralareaacasestudyofdeniliquinnewsouthwalesaustralia AT alibraytee optimizationofasmallwindturbineforaruralareaacasestudyofdeniliquinnewsouthwalesaustralia |