Using artificial intelligence capabilities to design and optimize smart offshore wind turbines
سال انتشار: 1402
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 157
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شناسه ملی سند علمی:
CUCONF12_003
تاریخ نمایه سازی: 7 تیر 1403
چکیده مقاله:
As the world grapples with the urgent need for sustainable energy solutions, offshore wind power has emerged as a promising avenue for clean electricity generation. However, the complexities associated with the design, deployment, and maintenance of offshore wind turbines necessitate innovative approaches to maximize their efficiency and reliability. This article explores the transformative role of artificial intelligence (AI) and advanced algorithms in reshaping the landscape of offshore wind energy. The introduction highlights the global demand for renewable energy and the challenges inherent in offshore wind turbine design. Against this backdrop, AI emerges as a potent force capable of addressing these challenges comprehensively. The article delves into specific applications of AI throughout the offshore wind turbine lifecycle, from initial site selection to continuous operational enhancement. In the realm of site selection, AI algorithms analyze historical data to identify optimal locations for wind farms, while optimization algorithms fine-tune turbine layout and spacing for maximum energy production. Structural design benefits from AI-driven optimization, shaping components based on aerodynamic principles and material strength requirements. Control systems are revolutionized with real-time adaptability to environmental conditions, and predictive maintenance models anticipate potential failures. Performance monitoring employs AI for real-time data analysis, anomaly detection, and trend analysis, providing insights for continuous improvement. Fault detection is enhanced through machine learning models analyzing sensor data. Aerodynamic design benefits from computational fluid dynamics simulations optimized by AI algorithms. The adaptive learning mechanism ensures continuous improvement, enabling turbines to adapt to changing conditions over time. Environmental impact assessments are refined using AI to minimize ecological disruptions. Integration with smart grids optimizes electricity distribution, and cybersecurity measures protect against potential threats.
کلیدواژه ها:
نویسندگان
Seyed Reza Samaei
Post-doctoral, Lecturer of Technical and Engineering Faculty, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Mohammad Asadian Ghahfarrokhi
Assistant professor, Department of Marine industries, Science and Research Branch, Islamic Azad University, Tehran, Iran