Wind Turbine and Wind Farm Flows
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A3: Wind, Wave and Tidal Energy".
Deadline for manuscript submissions: 22 November 2024 | Viewed by 1989
Special Issue Editor
Special Issue Information
Dear Colleagues,
The growth of the worldwide energy demand and the impact that human activities have on the current and future global climate are challenges and constraints that need to be taken into account nowadays. Renewable energy sources are viable options that provide electricity with a limited carbon footprint and, therefore, have a key role in the energy transition process worldwide. The exploitation of the wind resource, in particular, has played a leading role in many countries where the wind blows sufficiently, leading to both onshore and offshore installations. Recent trends, such as
- Wind resource assessment in a changing climate
- Wind farm aerodynamics optimization
- Wake losses
- Global upstream blockage
- Interaction of wind farms and terrain
- Interaction of wind farms with a stratified atmosphere
- Wind farm control
- Floating turbine aerodynamics
represent key research aspects to define new guidelines for the planning, installation, and operation of wind farms during their lifetime. The aim of this research effort is to improve the understanding of farm aerodynamics to maximize the power production at every time and throughout the park. This goal can be tackled by means of experiments, numerical simulations, and theoretical models. This Special Issue aims to collect cutting-edge research works to update the current understanding of wind farms, how they extract power from the atmosphere and interact with it, and how they can operate in different configurations, such as offshore floating turbines.
Dr. Antonio Segalini
Guest Editor
Manuscript Submission Information
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Keywords
- wind resource
- wind farm aerodynamics
- wake losses
- blockage losses
- farm control
- floating turbines
- farm planning and operation
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Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: A Comparative Study of Advanced Deep Learning Models for 24-Hours Wind Turbine Power Generation Forecasting
Authors: Laios Ioannis; Moustris Konstantinos; Zafirakis Dimitrios; Spyropoulos Georgios
Affiliation: Air Pollution Lab., Department of Mechanical Engineers, School of Engineers, University of West Attica, P.Ralli & 250 Thivon Str., Aegaleo, Athens GR12244, Greece; [email protected] (L.I.); [email protected] (K.M.)
2 Soft Energy Applications & Environmental Protection Laboratory, University of West Attica, P.Ralli & 250 Thivon Str., Aegaleo, Athens GR12244, Greece; [email protected] (D.Z.); [email protected] (G.S.)
*Correspondence: [email protected]
Title: Numerical study of a J-shape vertical axis wind turbine with variable pitch.
Authors: Malak Gherbi; Patrick Verdin
Affiliation: Cranfield University, UK
