Intelligent Designs for Wind Power Generation
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".
Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 3622
Special Issue Editors
Interests: intelligent control systems; industrial AI; renewable energy and smart grid
Interests: Computational Fluid Dynamics (CFD); Large-Eddy Simulation (LES); Atmospheric Boundary-Layer (ABL); wind-turbine wake; urban wind energy; gas dispersion; ABL stratification
Special Issue Information
Dear Colleagues,
In recent decades, wind power generation has experienced a rapid increase, and the global installed wind power capacity is predicted to be up to 5806GW by 2050. The increasing penetration of wind power in electrical networks has presented various challenges and threats to the power grid. The aging of the deployed turbines has also increased the demand for operation optimization and intelligent maintenance of wind farms. Moreover, offshore wind turbines are faced with harsher and more uncertain environments, which require more research efforts on diagnosis and prognostics. Recently, the rise of intelligent technologies including machine learning, intelligent control, 5G tech, etc. has attracted attention from both the academic and industrial communities. Hence, the aim of this Special Issue is to critically address the challenges and issues concerned with wind energy and provide appropriate solutions to enhance wind power generation. Topics of interest for publication include but are not limited to the following:
- Grid integration of wind power.
- Wind power forecasting.
- Wind-energy-based hybrid systems.
- Information and communication technologies for wind power.
- Floating offshore wind power technologies.
- Energy storage systems for wind power integration.
- Intelligent control and optimization of wind turbines.
- Security of wind power generation.
- Wind-turbine wake.
- wind-farm optimization.
Prof. Dr. Qinmin Yang
Dr. Ashvinkumar Chaudhari
Guest Editors
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Keywords
- wind power
- intelligent control
- optimization
- computing intelligence
- 5G communication
- power grid integration
- wind-turbine wake
- wind-farm optimization
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