Wind Characteristics in the Taiwan Strait: A Case Study of the First Offshore Wind Farm in Taiwan
This study analyzed the wind speed data of the met mast in the first commercial-scale offshore wind farm of Taiwan from May 2017 to April 2018. The mean wind speed and standard deviation, wind rose, histogram, wind speed profile, and diurnal variation of wind speed with associated changes in wind di...
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-12-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/13/24/6492 |
| _version_ | 1797545308246245376 |
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| author | Ke-Sheng Cheng Cheng-Yu Ho Jen-Hsin Teng |
| author_facet | Ke-Sheng Cheng Cheng-Yu Ho Jen-Hsin Teng |
| author_sort | Ke-Sheng Cheng |
| collection | DOAJ |
| description | This study analyzed the wind speed data of the met mast in the first commercial-scale offshore wind farm of Taiwan from May 2017 to April 2018. The mean wind speed and standard deviation, wind rose, histogram, wind speed profile, and diurnal variation of wind speed with associated changes in wind direction revealed some noteworthy findings. First, the standard deviation of the corresponding mean wind speed is somewhat high. Second, the Hellmann exponent is as low as 0.05. Third, afternoons in winter and nights and early mornings in summer have the highest and lowest wind speed in a year, respectively. Regarding the histogram, the distribution probability of wind is bimodal, which can be depicted as a mixture of two gamma distributions. In addition, the corresponding change between the hourly mean wind speed and wind direction revealed that the land–sea breeze plays a significant role in wind speed distribution, wind profile, and wind energy production. The low Hellmann exponent is discussed in detail. To further clarify the effect of the land–sea breeze for facilitating future wind energy development in Taiwan, we propose some recommendations. |
| first_indexed | 2024-03-10T14:13:35Z |
| format | Article |
| id | doaj.art-53e6a69c50da4ad49922e58ede1f2f14 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T14:13:35Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-53e6a69c50da4ad49922e58ede1f2f142023-11-20T23:57:37ZengMDPI AGEnergies1996-10732020-12-011324649210.3390/en13246492Wind Characteristics in the Taiwan Strait: A Case Study of the First Offshore Wind Farm in TaiwanKe-Sheng Cheng0Cheng-Yu Ho1Jen-Hsin Teng2Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei 10617, TaiwanHydrotech Research Institute, National Taiwan University, Taipei 10617, TaiwanResearch and Development Center, Central Weather Bureau, Taipei 100006, TaiwanThis study analyzed the wind speed data of the met mast in the first commercial-scale offshore wind farm of Taiwan from May 2017 to April 2018. The mean wind speed and standard deviation, wind rose, histogram, wind speed profile, and diurnal variation of wind speed with associated changes in wind direction revealed some noteworthy findings. First, the standard deviation of the corresponding mean wind speed is somewhat high. Second, the Hellmann exponent is as low as 0.05. Third, afternoons in winter and nights and early mornings in summer have the highest and lowest wind speed in a year, respectively. Regarding the histogram, the distribution probability of wind is bimodal, which can be depicted as a mixture of two gamma distributions. In addition, the corresponding change between the hourly mean wind speed and wind direction revealed that the land–sea breeze plays a significant role in wind speed distribution, wind profile, and wind energy production. The low Hellmann exponent is discussed in detail. To further clarify the effect of the land–sea breeze for facilitating future wind energy development in Taiwan, we propose some recommendations.https://www.mdpi.com/1996-1073/13/24/6492probability density functionbimodalmixture distributionmonsoonland–sea breezeHellmann exponent |
| spellingShingle | Ke-Sheng Cheng Cheng-Yu Ho Jen-Hsin Teng Wind Characteristics in the Taiwan Strait: A Case Study of the First Offshore Wind Farm in Taiwan Energies probability density function bimodal mixture distribution monsoon land–sea breeze Hellmann exponent |
| title | Wind Characteristics in the Taiwan Strait: A Case Study of the First Offshore Wind Farm in Taiwan |
| title_full | Wind Characteristics in the Taiwan Strait: A Case Study of the First Offshore Wind Farm in Taiwan |
| title_fullStr | Wind Characteristics in the Taiwan Strait: A Case Study of the First Offshore Wind Farm in Taiwan |
| title_full_unstemmed | Wind Characteristics in the Taiwan Strait: A Case Study of the First Offshore Wind Farm in Taiwan |
| title_short | Wind Characteristics in the Taiwan Strait: A Case Study of the First Offshore Wind Farm in Taiwan |
| title_sort | wind characteristics in the taiwan strait a case study of the first offshore wind farm in taiwan |
| topic | probability density function bimodal mixture distribution monsoon land–sea breeze Hellmann exponent |
| url | https://www.mdpi.com/1996-1073/13/24/6492 |
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