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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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will explore the impact of sour gases like H2S and vapor Mercury on corrosion in the oil and gas industry, focusing on developing prevention strategies. Student type Future Students Faculties and centres
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control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the opportunity to deeply engage with
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-house database of experimental real-world data enabling large-scale validation of developed algorithms. Wind turbine drivetrains are critical components, and their failures can lead to significant
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used in wind turbine blades, structural engineering exposed to offshore environments. However, the rapid growth of the wind turbine industry is expected to generate million tons of blade waste globally
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load predictions for wind turbines, specifically the foundations, with the ultimate objective of including structural health information in windfarm asset management to optimise structural lifetime
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treatment, wind turbines, construction machinery). Website for additional job details https://www.sintef.no/karriere-i-sintef/ledige-stillinger-i-sintef/stilling/145… Work Location(s) Number of offers
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rapidly changing characteristics. Simultaneously, the European energy system is also getting more coupled with other energy sectors like heat, gas, transport and industry. Power systems operating in such a
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via thermodynamic power cycles. However, conventional expansion machines (turbines or volumetric devices) face significant limitations at low power scales: - Turbomachinery suffers from reduced
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We are looking for a PhD student in aerothermal design of an outlet stator for an ultra-efficient aircraft engine (so-called outlet turbine rear structure, TRS). The position is in tight cooperation