This is a project which is currently making use of HPC facilities at Newcastle University. It is active.
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This project investigates climate-resilient pathways for decarbonising the UK energy system through heat electrification and renewable energy integration. Using large-scale energy system modelling, climate projections, and optimisation techniques, the research evaluates the impacts of heat pumps, district heating networks, and future climate extremes on the reliability, resilience, cost, and carbon emissions of the UK's electricity and heating infrastructure. The project supports the development of net-zero energy strategies and climate adaptation planning.
The project will primarily use Python-based scientific computing and data analysis tools for large-scale energy system modelling, optimisation, and climate impact assessment. Software and libraries may include Python, NumPy, Pandas, SciPy, Matplotlib, Jupyter, PyPSA, optimisation solvers, and geospatial and climate data processing packages. Computational activities will involve high-performance data processing, scenario analysis, numerical simulations, optimisation, uncertainty quantification, and handling of large climate and energy system datasets. Parallel computing and batch processing workflows will be used to accelerate model execution and analysis across multiple scenarios.