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in conjunction with the industry partner, this PhD project aims to develop a reliable numerical modelling framework capable of: (i) simulating coupled heat and fluid flow within deep geothermal
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pressures from climate change, urbanisation and ageing infrastructure. Although high-fidelity numerical models can simulate hydrodynamic and pollutant transport processes, their computational cost limits
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processes in riverine and estuarine systems. This model will be coupled with advection–diffusion–reaction equations to simulate pollutant transport, mixing and biochemical processes. To enable rapid
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. To effectively plan for water supply resilience, it is essential to robustly model future changes in hydrological systems. This project will develop a robust modelling framework to simulate future changes in water
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motivated PhD candidate with interests and skills in computational modelling and simulations, fluid dynamics, mechanical engineering, physics and applied mathematics. You should have experience in one or more
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numerical simulations; and (ii) quantify the influence of parametric uncertainty on geothermal system performance using these surrogate models, enabling rapid assessment of design and operational scenarios
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). Additional project costs will also be provided. Overview We are seeking a highly motivated PhD candidate with interests and skills in computational modelling and simulations, fluid dynamics, mechanical
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hydrological systems. This project will develop a robust modelling framework to simulate future changes in water resources in North and East England, using a combination of physically-based hydrological
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on empirical optimisation, leading to inefficiencies in energy use and impurity removal. This PhD project proposes to develop a Coupled Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) model
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productivity and energy efficiency. Bioprocess modelling: Employ simulation, techno-economic analysis (TEA), and life-cycle assessment (LCA) to assess cost and GHG performance. Candidate’s Competencies and