Projects

MSc Dissertation: Long-Duration Storage for Net Zero

Python
Xarray
Pandas
SciPy
scikit-learn
Cartopy
Matplotlib
netCDF4
K-means Clustering
Synoptic Regimes
ERA5 Reanalysis
Hydrogen Storage Modelling

MSc research (Distinction · Dissertation A) on the UK's need for underground hydrogen storage to support net-zero electricity by 2050; awarded the Met Office Dissertation Prize.

Cluster centres of meteorological conditions during energy storage depletion events

My MSc dissertation at the University of Reading quantified the UK’s need for long-duration underground hydrogen storage to achieve net-zero carbon emissions by 2050. The research examined demand electrification scenarios, offshore wind power deployment, and the meteorological drivers behind energy storage deficits — identifying the weather patterns that cause prolonged shortfalls in renewable generation. The work drew on ERA5 reanalysis data and European-derived power datasets, and was awarded the Met Office MSc Dissertation Prize for outstanding research.

I presented this work at the 2024 Next Generation Energy and Climate Modelling Workshop (NextGenEC).

Time series of power anomalies and storage for a depletion event and recovery period Met Office MSc Atmosphere Ocean and Climate Dissertation Prize 2024 — awarded to Lainey Ward