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Potential of Offshore Wind Energy and Extreme Wind Speed Forecasting on the West Coast of Taiwan

Author

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  • Pei-Chi Chang

    (Tainan Hydraulics Laboratory, National Cheng Kung University, 1 University Road, Tainan 701, Taiwan
    Research Center for Energy Technology and Strategy, National Cheng Kung University, 1 University Road, Tainan 701, Taiwan)

  • Ray-Yeng Yang

    (Tainan Hydraulics Laboratory, National Cheng Kung University, 1 University Road, Tainan 701, Taiwan
    Research Center for Energy Technology and Strategy, National Cheng Kung University, 1 University Road, Tainan 701, Taiwan)

  • Chi-Ming Lai

    (Research Center for Energy Technology and Strategy, National Cheng Kung University, 1 University Road, Tainan 701, Taiwan
    Department of Civil Engineering, National Cheng Kung University, 1 University Road, Tainan 701, Taiwan)

Abstract

It is of great importance and urgency for Taiwan to develop offshore wind power. However, relevant data on offshore wind energy resources are limited. This study imported wind speeds measured by a tidal station and a buoy into the software WAsP to estimate the high-altitude wind speeds in the two areas. A light detection and ranging (Lidar) system was set up near the tidal station and buoy. High-altitude wind speeds measured by the Lidar system were compared with the WAsP-estimated values, and it was discovered that the two data sets were consistent. Then, long-term wind speed data observed by buoys and tidal stations at various locations were imported into WAsP to forecast wind speeds at heights of 55–200 m on the west coast of Taiwan. The software WAsP Engineering was used to analyze the extreme wind speeds in the same areas. The results show that wind speeds at 100 m are approximately 9.32–11.24 m/s, which means that the coastal areas of west Taiwan are rich in wind energy resources. When a long-term 10-min average wind speed is used, the extreme wind speed on the west coast is estimated to be between 36.4 and 55.3 m/s.

Suggested Citation

  • Pei-Chi Chang & Ray-Yeng Yang & Chi-Ming Lai, 2015. "Potential of Offshore Wind Energy and Extreme Wind Speed Forecasting on the West Coast of Taiwan," Energies, MDPI, vol. 8(3), pages 1-16, February.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:3:p:1685-1700:d:46212
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    References listed on IDEAS

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    Cited by:

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    2. Wei Sun & Mohan Liu & Yi Liang, 2015. "Wind Speed Forecasting Based on FEEMD and LSSVM Optimized by the Bat Algorithm," Energies, MDPI, vol. 8(7), pages 1-23, June.
    3. Liuming Jing & Dae-Hee Son & Sang-Hee Kang & Soon-Ryul Nam, 2017. "Unsynchronized Phasor-Based Protection Method for Single Line-to-Ground Faults in an Ungrounded Offshore Wind Farm with Fully-Rated Converters-Based Wind Turbines," Energies, MDPI, vol. 10(4), pages 1-15, April.
    4. Hufang Yang & Zaiping Jiang & Haiyan Lu, 2017. "A Hybrid Wind Speed Forecasting System Based on a ‘Decomposition and Ensemble’ Strategy and Fuzzy Time Series," Energies, MDPI, vol. 10(9), pages 1-30, September.
    5. Nguyen, Thi Anh Tuyet & Chou, Shuo-Yan, 2018. "Impact of government subsidies on economic feasibility of offshore wind system: Implications for Taiwan energy policies," Applied Energy, Elsevier, vol. 217(C), pages 336-345.
    6. Christopher Jung & Dirk Schindler & Alexander Buchholz & Jessica Laible, 2017. "Global Gust Climate Evaluation and Its Influence on Wind Turbines," Energies, MDPI, vol. 10(10), pages 1-18, September.
    7. Ke-Sheng Cheng & Cheng-Yu Ho & Jen-Hsin Teng, 2020. "Wind Characteristics in the Taiwan Strait: A Case Study of the First Offshore Wind Farm in Taiwan," Energies, MDPI, vol. 13(24), pages 1-21, December.
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    9. Shih-Chieh Liao & Shih-Chieh Chang & Tsung-Chi Cheng, 2021. "Managing the Volatility Risk of Renewable Energy: Index Insurance for Offshore Wind Farms in Taiwan," Sustainability, MDPI, vol. 13(16), pages 1-27, August.

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