Accurate energy yield prediction is of utmost importance for commercial scale photovoltaic systems. One key parameter crucial to the prediction accuracy is the quality of solar radiation data. Most energy yield prediction models rely on Typical Meteorological Year data with maximum temporal resolution of one hour. In this work we develop a methodology to generate Typical Meteorological Year data with much higher time resolution using gap filling methods that aim to maintain high-quality solar radiation data for photovoltaic yield modelling.

The SoERC conference is Australia's first research-only conference that highlights the latest advances in energy research. The conference takes place on 3rd and 4th July at the Australian National University, Canberra.

Impact of perovskite solar cell degradation on the lifetime energy yield and economic viability of perovskite/silicon tandem modules