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Field
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laboratory-scale turbines. Combined with modern measurement methods, these facilities offer ideal conditions for addressing real-world wind energy challenges under controlled laboratory settings. The position
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these challenges by exploring and developing advanced methodologies for wind turbine drivetrain condition monitoring. The successful candidate will primarily focus on: Signal processing techniques: Developing and
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industries, including: Aerospace: Faster, more efficient design and real-time condition monitoring for safer aircraft and spacecraft. Civil Engineering: Real-time health monitoring for bridges and skyscrapers
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data, energy yield data, condition monitoring system data, nacelle lidar data, maintenance data etc), and decommissioning. Despite the wind energy sector’s success in data collection, significant
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Infrared heating heats people and surfaces directly, without heating the air in between. Thus, it is claimed that radiant heating can provide thermal comfort at lower internal air temperatures
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the opportunity you’ve been seeking. Join us to tackle some of the most intriguing and impactful challenges in the domain of wind energy, digitalization, and autonomous decision-making. We are looking for a
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local gas/liquid phase conditions. Whilst direct simulations of breakup are possible, computational cost is high, restricting applications to small sections of geometry and for modest run times
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net zero aviation. This project will explore the science of novel cooling technologies, such as phase change materials and heat transfer enhancement, for the air systems used to condition the turbine
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of this position will be the investigation of meteorological phenomena impacting the wind energy sector, in particular with respect to wind resources and wind conditions. For example, investigating how large-scale
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to fluctuating inflow conditions specific for new generations of large offshore wind turbines and wind farms. Providing system services opens new degrees of freedom, which can be used to optimise