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Computational modelling of ground heat exchangers for geothermal energy


Faculty of Engineering and Physical Sciences

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Dr Amirul Khan , Dr S J Rees No more applications being accepted Funded PhD Project (Students Worldwide)
Leeds United Kingdom Environmental Engineering

About the Project

Geothermal energy sources have received significant attention in recent years as a source of renewable energy. Ground source heat pump (GSHP) systems using ground heat exchangers (GHEs) are one of the most popular geothermal technologies, using the ground as a heat source in winter and a heat sink in summer for heating and cooling buildings. These systems are capable of achieving more energy-efficient performance than conventional heating and cooling systems in the long term. However, geothermal energy currently supplies less than a few percent of the total energy consumed worldwide. The dominant factor of the ineffective utilisation of geothermal energy is the uncertainty involved in estimating the efficiency and cost-effectiveness of geothermal systems. One of the main reasons for this uncertainty is the absence of computational tools capable of simulating rigorous geothermal processes in a computationally efficient manner. In this project, we aim to develop a massively parallel Lattice Boltzmann method (LBM)-based computationally efficient model capable of simulating convective–conductive processes occurring in a complicated three-dimensional geometry, using the graphics processing units (GPUs) with short computational time.


Funding Notes

A highly competitive EPSRC Doctoral Training Partnership Studentship consisting of the award of fees with a maintenance grant of £15,609 per annum for session 2021/22 for 3.5 years.
This opportunity is open to all applicants, with a number of awards for Non-UK nationals limited by UKRI to 1. All candidates will be placed into the EPSRC Doctoral Training Partnership Studentship Competition and selection is based on academic merit.
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