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Field
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energy (ORE) technologies (for conversion of wind, wave and tidal energy to electricity). With the wide availability and constant improvement of in-house, commercial and open-source codes, covering
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. Indeed, information technology is predicted to consume 21% of the world electricity supply by 2030. There is hence a pressing economic and societal urge to find more energy efficient solutions. To make
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adaptive. The transition to the net zero energy system requires a new set of tools and approaches as there is increased recognition that the existing toolkit is unable to accommodate deep uncertainty
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theoretical physics, he looks at how unconventional computing systems can be used to create energy efficient hardware for AI applications. He has particular interests in unconventional machine learning
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& environmental science. Project description This study aims to investigate the pivotal role of wind turbine owners’ decisions and policy alternatives for enhancing the integration of offshore wind energy into
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This study will investigate the pivotal role of wind turbine owners’ decisions and the policy alternatives aimed at increasing the integration of offshore wind energy into electricity grids. In
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The production of vast amounts of nuclear fusion energy in tokamak and compact spherical reactor designs, as a replica of nuclear reactions in the sun, rely on the deuterium (D)-tritium (T) reaction
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This PhD studentship, hosted by the Energy Demand Research Centre , will explore questions of how individual and social organisation affect the potential to realise deep energy demand reduction
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Background: The UK and the World are rapidly shifting towards multi-energy systems, such as districts and industrial parks with large amounts of renewable electricity, renewable heating & cooling
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fusion reactions and alpha particle energy deposition. This involves coupling particle based MC codes to the fluid code with quantifiable estimates of uncertainty. The project is part funded and supervised