Determining the Optimized Hub Height of Wind Turbine Using the Wind Resource Map of South Korea
Although the size of the wind turbine has become larger to improve the economic feasibility of wind power generation, whether increases in rotor diameter and hub height always lead to the optimization of energy cost remains to be seen. This paper proposes an algorithm that calculates the optimized h...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-07-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/15/2949 |
| _version_ | 1811305789226221568 |
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| author | Jung-Tae Lee Hyun-Goo Kim Yong-Heack Kang Jin-Young Kim |
| author_facet | Jung-Tae Lee Hyun-Goo Kim Yong-Heack Kang Jin-Young Kim |
| author_sort | Jung-Tae Lee |
| collection | DOAJ |
| description | Although the size of the wind turbine has become larger to improve the economic feasibility of wind power generation, whether increases in rotor diameter and hub height always lead to the optimization of energy cost remains to be seen. This paper proposes an algorithm that calculates the optimized hub height to minimize the cost of energy (COE) using the regional wind profile database. The optimized hub height was determined by identifying the minimum COE after calculating the annual energy production (AEP) and cost increase, according to hub height increase, by using the wind profiles of the wind resource map in South Korea and drawing the COE curve. The optimized hub altitude was calculated as 75~80 m in the inland plain but as 60~70 m in onshore or mountain sites, where the wind profile at the lower layer from the hub height showed relatively strong wind speed than that in inland plain. The AEP loss due to the decrease in hub height was compensated for by increasing the rotor diameter, in which case COE also decreased in the entire region of South Korea. The proposed algorithm of identifying the optimized hub height is expected to serve as a good guideline when determining the hub height according to different geographic regions. |
| first_indexed | 2024-04-13T08:32:39Z |
| format | Article |
| id | doaj.art-bcf77f1b2621411085cfd9bfa2574041 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-13T08:32:39Z |
| publishDate | 2019-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-bcf77f1b2621411085cfd9bfa25740412022-12-22T02:54:13ZengMDPI AGEnergies1996-10732019-07-011215294910.3390/en12152949en12152949Determining the Optimized Hub Height of Wind Turbine Using the Wind Resource Map of South KoreaJung-Tae Lee0Hyun-Goo Kim1Yong-Heack Kang2Jin-Young Kim3New and Renewable Energy Resource & Policy Center, Korea Institute of Energy Research, 152 Gajeong-ro, Yuseong-gu, Daejeon 34129, KoreaNew and Renewable Energy Resource & Policy Center, Korea Institute of Energy Research, 152 Gajeong-ro, Yuseong-gu, Daejeon 34129, KoreaNew and Renewable Energy Resource & Policy Center, Korea Institute of Energy Research, 152 Gajeong-ro, Yuseong-gu, Daejeon 34129, KoreaNew and Renewable Energy Resource & Policy Center, Korea Institute of Energy Research, 152 Gajeong-ro, Yuseong-gu, Daejeon 34129, KoreaAlthough the size of the wind turbine has become larger to improve the economic feasibility of wind power generation, whether increases in rotor diameter and hub height always lead to the optimization of energy cost remains to be seen. This paper proposes an algorithm that calculates the optimized hub height to minimize the cost of energy (COE) using the regional wind profile database. The optimized hub height was determined by identifying the minimum COE after calculating the annual energy production (AEP) and cost increase, according to hub height increase, by using the wind profiles of the wind resource map in South Korea and drawing the COE curve. The optimized hub altitude was calculated as 75~80 m in the inland plain but as 60~70 m in onshore or mountain sites, where the wind profile at the lower layer from the hub height showed relatively strong wind speed than that in inland plain. The AEP loss due to the decrease in hub height was compensated for by increasing the rotor diameter, in which case COE also decreased in the entire region of South Korea. The proposed algorithm of identifying the optimized hub height is expected to serve as a good guideline when determining the hub height according to different geographic regions.https://www.mdpi.com/1996-1073/12/15/2949hub heightrotor diameterwind turbinecost of energyoptimization |
| spellingShingle | Jung-Tae Lee Hyun-Goo Kim Yong-Heack Kang Jin-Young Kim Determining the Optimized Hub Height of Wind Turbine Using the Wind Resource Map of South Korea Energies hub height rotor diameter wind turbine cost of energy optimization |
| title | Determining the Optimized Hub Height of Wind Turbine Using the Wind Resource Map of South Korea |
| title_full | Determining the Optimized Hub Height of Wind Turbine Using the Wind Resource Map of South Korea |
| title_fullStr | Determining the Optimized Hub Height of Wind Turbine Using the Wind Resource Map of South Korea |
| title_full_unstemmed | Determining the Optimized Hub Height of Wind Turbine Using the Wind Resource Map of South Korea |
| title_short | Determining the Optimized Hub Height of Wind Turbine Using the Wind Resource Map of South Korea |
| title_sort | determining the optimized hub height of wind turbine using the wind resource map of south korea |
| topic | hub height rotor diameter wind turbine cost of energy optimization |
| url | https://www.mdpi.com/1996-1073/12/15/2949 |
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