Results 61 to 70 of about 51,068 (247)

Comparing the economic feasibility of offshore floating wind and solar photovoltaic technologies in Central Mediterranean deep waters [PDF]

open access: yes, 2015
Malta, being a very small and densely populated island in the central Mediterranean, has little space for large scale onshore wind turbine or photovoltaic projects. Maltese territorial waters are mostly too deep for conventional offshore wind farms
Farrugia, Robert N.   +3 more
core   +1 more source

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

open access: yesEnergy Science &Engineering, EarlyView.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson   +3 more
wiley   +1 more source

Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems

open access: yesEnergy Science &Engineering, EarlyView.
This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk   +4 more
wiley   +1 more source

Acceleration-based fault-tolerant control design of offshore fixed wind turbines [PDF]

open access: yes, 2016
Wind turbines (WTs) are basically controlled by varying the generator load torque (with the so-called torque control) and the blade pitch angles (with the so-called pitch control) based on measurement of the generator shaft speed.
Acho Zuppa, Leonardo   +3 more
core   +2 more sources

Technoeconomic Assessment of Wind Power Potential in the Vicinity of GolGohar Sirjan Mining and Industrial Company

open access: yesEnergy Science &Engineering, EarlyView.
Graphical abstract of wind energy study in the Vicinity of GolGohar Sirjan Mining and Industrial Company. ABSTRACT Wind energy is a central pillar of sustainable energy transition; however, its feasibility strongly depends on site‐specific wind regimes and economic conditions.
Hossein Amiri
wiley   +1 more source

Modeling the effects of seasonal weather and site conditions on wind turbine failure modes [PDF]

open access: yes, 2013
It is important that the impact of the offshore environment on wind turbine reliability is reduced significantly due to the importance of offshore wind deployment to global energy targets.
McMillan, David, Wilson, Graeme
core  

Feasibility of Wind‐Powered Green Hydrogen Production via a Hybrid Graph Neural Network‐Transformer Forecasting Model

open access: yesEnergy Science &Engineering, EarlyView.
ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei   +2 more
wiley   +1 more source

Research on Structural Failure Analysis and Strengthening Design of Offshore Wind Turbine Blades

open access: yesJournal of Marine Science and Engineering, 2022
The existing blade protection mechanisms are highly dependent on the control system and its power supply. Safety of offshore wind turbines cannot be guaranteed under extreme weather when the control protection mechanisms fail.
Xiaohan Fu, Meiping Sheng
doaj   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

open access: yesEnergy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom   +2 more
wiley   +1 more source

Assessment of Offshore Wind Power Potential and Wind Energy Prediction Using Recurrent Neural Networks

open access: yesJournal of Marine Science and Engineering
In recent years, Taiwan has actively pursued the development of renewable energy, with offshore wind power assessments indicating that 80% of the world’s best wind fields are located in the western seas of Taiwan.
Chih-Chiang Wei, Cheng-Shu Chiang
doaj   +1 more source

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