Review of Key Technologies for Offshore Floating Wind Power Generation
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- Meng, Yongqing & Yan, Shuhao & Wu, Kang & Ning, Lianhui & Li, Xuan & Wang, Xiuli & Wang, Xifan, 2021. "Comparative economic analysis of low frequency AC transmission system for the integration of large offshore wind farms," Renewable Energy, Elsevier, vol. 179(C), pages 1955-1968.
- Bing Wang & Zhen Tang & Xiang Gao & Weiyang Liu & Xianhui Chen, 2019. "Distributed Control Strategy of the Leader-Follower for Offshore Wind Farms under Fault Conditions," Sustainability, MDPI, vol. 11(8), pages 1-20, April.
- Antonio Galán-Lavado & Matilde Santos, 2021. "Analysis of the Effects of the Location of Passive Control Devices on the Platform of a Floating Wind Turbine," Energies, MDPI, vol. 14(10), pages 1-19, May.
- Zhang, Jinhua & Yan, Jie & Infield, David & Liu, Yongqian & Lien, Fue-sang, 2019. "Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model," Applied Energy, Elsevier, vol. 241(C), pages 229-244.
- Hedi Basbas & Yong-Chao Liu & Salah Laghrouche & Mickaël Hilairet & Franck Plestan, 2022. "Review on Floating Offshore Wind Turbine Models for Nonlinear Control Design," Energies, MDPI, vol. 15(15), pages 1-27, July.
- Christos S. Ioakimidis & Konstantinos N. Genikomsakis, 2018. "Integration of Seawater Pumped-Storage in the Energy System of the Island of São Miguel (Azores)," Sustainability, MDPI, vol. 10(10), pages 1-14, September.
- Hahn, Henning & Hau, Daniel & Dick, Christian & Puchta, Matthias, 2017. "Techno-economic assessment of a subsea energy storage technology for power balancing services," Energy, Elsevier, vol. 133(C), pages 121-127.
- Li, Xuan & Zhang, Wei, 2020. "Long-term fatigue damage assessment for a floating offshore wind turbine under realistic environmental conditions," Renewable Energy, Elsevier, vol. 159(C), pages 570-584.
- Li, Liang & Liu, Yuanchuan & Yuan, Zhiming & Gao, Yan, 2018. "Wind field effect on the power generation and aerodynamic performance of offshore floating wind turbines," Energy, Elsevier, vol. 157(C), pages 379-390.
- Weiwei Yao & Changhong Deng & Dinglin Li & Man Chen & Peng Peng & Hao Zhang, 2019. "Optimal Sizing of Seawater Pumped Storage Plant with Variable-Speed Units Considering Offshore Wind Power Accommodation," Sustainability, MDPI, vol. 11(7), pages 1-18, April.
- Lu, Hongfang & Ma, Xin & Huang, Kun & Azimi, Mohammadamin, 2020. "Prediction of offshore wind farm power using a novel two-stage model combining kernel-based nonlinear extension of the Arps decline model with a multi-objective grey wolf optimizer," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
- Srikanth Bashetty & Selahattin Ozcelik, 2021. "Review on Dynamics of Offshore Floating Wind Turbine Platforms," Energies, MDPI, vol. 14(19), pages 1-30, September.
- Shahram Hanifi & Xiaolei Liu & Zi Lin & Saeid Lotfian, 2020. "A Critical Review of Wind Power Forecasting Methods—Past, Present and Future," Energies, MDPI, vol. 13(15), pages 1-24, July.
- Domínguez-García, José Luis & Rogers, Daniel J. & Ugalde-Loo, Carlos E. & Liang, Jun & Gomis-Bellmunt, Oriol, 2012. "Effect of non-standard operating frequencies on the economic cost of offshore AC networks," Renewable Energy, Elsevier, vol. 44(C), pages 267-280.
- Foley, Aoife M. & Leahy, Paul G. & Marvuglia, Antonino & McKeogh, Eamon J., 2012. "Current methods and advances in forecasting of wind power generation," Renewable Energy, Elsevier, vol. 37(1), pages 1-8.
- Wen, Binrong & Tian, Xinliang & Dong, Xingjian & Peng, Zhike & Zhang, Wenming, 2017. "Influences of surge motion on the power and thrust characteristics of an offshore floating wind turbine," Energy, Elsevier, vol. 141(C), pages 2054-2068.
- Liao, Hao & Hu, Weihao & Wu, Xiawei & Wang, Ni & Liu, Zhou & Huang, Qi & Chen, Cong & Chen, Zhe, 2020. "Active power dispatch optimization for offshore wind farms considering fatigue distribution," Renewable Energy, Elsevier, vol. 151(C), pages 1173-1185.
- Yang, Kyoungboo & Kwak, Gyeongil & Cho, Kyungho & Huh, Jongchul, 2019. "Wind farm layout optimization for wake effect uniformity," Energy, Elsevier, vol. 183(C), pages 983-995.
- Luo, Xing & Wang, Jihong & Dooner, Mark & Clarke, Jonathan, 2015. "Overview of current development in electrical energy storage technologies and the application potential in power system operation," Applied Energy, Elsevier, vol. 137(C), pages 511-536.
- Chen, Ziwen & Wang, Xiaodong & Guo, Yize & Kang, Shun, 2021. "Numerical analysis of unsteady aerodynamic performance of floating offshore wind turbine under platform surge and pitch motions," Renewable Energy, Elsevier, vol. 163(C), pages 1849-1870.
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Cited by:
- Ghigo, Alberto & Faraggiana, Emilio & Giorgi, Giuseppe & Mattiazzo, Giuliana & Bracco, Giovanni, 2024. "Floating Vertical Axis Wind Turbines for offshore applications among potentialities and challenges: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 193(C).
- Fei Xie & Junxue Zhang & Guodong Wu & Chunxia Zhang & Hechi Wang, 2023. "The Environmental Sustainability Study of an Airport Building System Based on an Integrated LCA-Embodied Energy (Emergy)-ANN Analysis," Sustainability, MDPI, vol. 15(9), pages 1-19, May.
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Keywords
offshore wind energy; energy storage technology; energy management;All these keywords.
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