Results 51 to 60 of about 3,374 (211)

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

Journal 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

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

Energy 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, Mojtaba Mirhosseini, Alireza Zahedi   +2 more
wiley   +1 more source

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

Energy 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, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source

A Comprehensive Review of AI‐Powered Energy Systems

Energy Science &Engineering, EarlyView.
The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo, Pedram Asef, Masoumeh Javadi, Mousa Marzband, Shady S. Refaat, Muhyaddin Rawa   +5 more
wiley   +1 more source

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

Journal 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

Renewable Energies in Kazakhstan: Current Status, Potential, Challenges, and Opportunities

Energy Science &Engineering, EarlyView.
Kazakhstan has strong renewable energy potential, with wind as the leading resource and solar and other sources offering additional opportunities. Key challenges include limited infrastructure, investment needs, and grid‐related technical issues. Despite these barriers, renewables can boost economic diversification, enhance energy security, create jobs,
Lyailim Taizhanova, Akhmetov Berik, Samal Syrlybekkyzy, Shynar Baimukasheva, Symbat Koibakova, Nurkhat Zhakiyev, Mohammad Alhuyi Nazari, Mohamed Salem   +7 more
wiley   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

Energy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

The X-Rotor Offshore Wind Turbine Concept [PDF]

Journal of Physics: Conference Series, 2019
Abstract The following paper provides an overview of a novel wind turbine concept known as the X-Rotor Offshore Wind Turbine. The X-Rotor is a new wind turbine concept that aims to reduce the cost of energy from offshore wind. Cost reductions are achieved through reduced capital costs and reduced maintenance costs.
Leithead, William, Camciuc, Arthur, Kazemi Amiri, Abbas, Carroll, James   +3 more
openaire   +3 more sources

How emerging market firms learn to lead in complex product systems: Evidence from China's civil aircraft industry

Global Strategy Journal, EarlyView.
Abstract Research Summary The rise of emerging market lead firms (LFs) in global value chains (GVCs) challenges the prevailing view that only multinational corporations (MNCs) from advanced economies lead systems integration, design, and innovation activities.
Yuanyuan Wu, Paola Perez‐Aleman
wiley   +1 more source

Quantifying the hurricane risk to offshore wind turbines [PDF]

Proceedings of the National Academy of Sciences, 2012
The U.S. Department of Energy has estimated that if the United States is to generate 20% of its electricity from wind, over 50 GW will be required from shallow offshore turbines. Hurricanes are a potential risk to these turbines. Turbine tower buckling has been observed in typhoons, but no offshore wind turbines have yet been built in the United States.
Stephen, Rose, Paulina, Jaramillo, Mitchell J, Small, Iris, Grossmann, Jay, Apt   +4 more
openaire   +2 more sources