IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v8y2015i3p1685-1700d46212.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/8/3/1685/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/8/3/1685/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lee, Bong-Hee & Ahn, Dong-Joon & Kim, Hyun-Goo & Ha, Young-Cheol, 2012. "An estimation of the extreme wind speed using the Korea wind map," Renewable Energy, Elsevier, vol. 42(C), pages 4-10.
    2. Jiang, Dong & Zhuang, Dafang & Huang, Yaohuan & Wang, Jianhua & Fu, Jingying, 2013. "Evaluating the spatio-temporal variation of China's offshore wind resources based on remotely sensed wind field data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 142-148.
    3. Onat, Nevzat & Ersoz, Sedat, 2011. "Analysis of wind climate and wind energy potential of regions in Turkey," Energy, Elsevier, vol. 36(1), pages 148-156.
    4. Sanz Rodrigo, J. & Borbón Guillén, F. & Gómez Arranz, P. & Courtney, M.S. & Wagner, R. & Dupont, E., 2013. "Multi-site testing and evaluation of remote sensing instruments for wind energy applications," Renewable Energy, Elsevier, vol. 53(C), pages 200-210.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cheng-Yu Ku & Lien-Kwei Chien, 2016. "Modeling of Load Bearing Characteristics of Jacket Foundation Piles for Offshore Wind Turbines in Taiwan," Energies, MDPI, vol. 9(8), pages 1-14, August.
    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.
    8. Thomas Poulsen & Charlotte Bay Hasager, 2017. "The (R)evolution of China: Offshore Wind Diffusion," Energies, MDPI, vol. 10(12), pages 1-32, December.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fazelpour, Farivar & Soltani, Nima & Soltani, Sina & Rosen, Marc A., 2015. "Assessment of wind energy potential and economics in the north-western Iranian cities of Tabriz and Ardabil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 87-99.
    2. Jia, Junmei & Yan, Zaizai & Peng, Xiuyun & An, Xiaoyan, 2020. "A new distribution for modeling the wind speed data in Inner Mongolia of China," Renewable Energy, Elsevier, vol. 162(C), pages 1979-1991.
    3. Chidean, Mihaela I. & Caamaño, Antonio J. & Ramiro-Bargueño, Julio & Casanova-Mateo, Carlos & Salcedo-Sanz, Sancho, 2018. "Spatio-temporal analysis of wind resource in the Iberian Peninsula with data-coupled clustering," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2684-2694.
    4. Nie, Bingchuan & Li, Jiachun, 2018. "Technical potential assessment of offshore wind energy over shallow continent shelf along China coast," Renewable Energy, Elsevier, vol. 128(PA), pages 391-399.
    5. Li, Delei & Geyer, Beate & Bisling, Peter, 2016. "A model-based climatology analysis of wind power resources at 100-m height over the Bohai Sea and the Yellow Sea," Applied Energy, Elsevier, vol. 179(C), pages 575-589.
    6. Saravanan Bhaskaran & Amrit Shankar Verma & Andrew J. Goupee & Subhamoy Bhattacharya & Amir R. Nejad & Wei Shi, 2023. "Comparison of Extreme Wind and Waves Using Different Statistical Methods in 40 Offshore Wind Energy Lease Areas Worldwide," Energies, MDPI, vol. 16(19), pages 1-26, October.
    7. Liu, Fa & Sun, Fubao & Liu, Wenbin & Wang, Tingting & Wang, Hong & Wang, Xunming & Lim, Wee Ho, 2019. "On wind speed pattern and energy potential in China," Applied Energy, Elsevier, vol. 236(C), pages 867-876.
    8. Wang, Jianzhou & Qin, Shanshan & Jin, Shiqiang & Wu, Jie, 2015. "Estimation methods review and analysis of offshore extreme wind speeds and wind energy resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 26-42.
    9. Waewsak, Jompob & Landry, Mathieu & Gagnon, Yves, 2015. "Offshore wind power potential of the Gulf of Thailand," Renewable Energy, Elsevier, vol. 81(C), pages 609-626.
    10. Elena Roibas-Millan & Javier Cubas & Santiago Pindado, 2017. "Studies on Cup Anemometer Performances Carried out at IDR/UPM Institute. Past and Present Research," Energies, MDPI, vol. 10(11), pages 1-17, November.
    11. Lu, Xi & McElroy, Michael B. & Nielsen, Chris P. & Chen, Xinyu & Huang, Junling, 2013. "Optimal integration of offshore wind power for a steadier, environmentally friendlier, supply of electricity in China," Energy Policy, Elsevier, vol. 62(C), pages 131-138.
    12. Kang, Dongbum & Ko, Kyungnam & Huh, Jongchul, 2015. "Determination of extreme wind values using the Gumbel distribution," Energy, Elsevier, vol. 86(C), pages 51-58.
    13. Yang, Zihao & Dong, Sheng, 2024. "A novel framework for wind energy assessment at multi-time scale based on non-stationary wind speed models: A case study in China," Renewable Energy, Elsevier, vol. 226(C).
    14. Kim, Dae-Young & Kim, Yeon-Hee & Kim, Bum-Suk, 2021. "Changes in wind turbine power characteristics and annual energy production due to atmospheric stability, turbulence intensity, and wind shear," Energy, Elsevier, vol. 214(C).
    15. Charlotte Bay Hasager, 2014. "Offshore winds mapped from satellite remote sensing," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 3(6), pages 594-603, November.
    16. Kim, Dae-Young & Kim, Bum-Suk, 2022. "Differences in wind farm energy production based on the atmospheric stability dissipation rate: Case study of a 30 MW onshore wind farm," Energy, Elsevier, vol. 239(PE).
    17. Khahro, Shahnawaz Farhan & Tabbassum, Kavita & Mahmood Soomro, Amir & Liao, Xiaozhong & Alvi, Muhammad Bux & Dong, Lei & Manzoor, M. Farhan, 2014. "Techno-economical evaluation of wind energy potential and analysis of power generation from wind at Gharo, Sindh Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 460-474.
    18. Chen, Xinping & Wang, Kaimin & Zhang, Zenghai & Zeng, Yindong & Zhang, Yao & O'Driscoll, Kieran, 2017. "An assessment of wind and wave climate as potential sources of renewable energy in the nearshore Shenzhen coastal zone of the South China Sea," Energy, Elsevier, vol. 134(C), pages 789-801.
    19. He, J.Y. & Chan, P.W. & Li, Q.S. & Lee, C.W., 2022. "Characterizing coastal wind energy resources based on sodar and microwave radiometer observations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    20. Sajid Ali & Choon-Man Jang, 2019. "Selection of Best-Suited Wind Turbines for New Wind Farm Sites Using Techno-Economic and GIS Analysis in South Korea," Energies, MDPI, vol. 12(16), pages 1-22, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:8:y:2015:i:3:p:1685-1700:d:46212. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.