Abstract
Energy meteorology looks at what we can learn from our past data and then projects forward by looking at what is applicable to future installations. The impacts of climate change may well affect where we choose our solar and our wind sites in the future.
This seminar looks at the interactions between the weather, climate and meteorology - and - how they impact different types of energy technologies. The desire is to be able to develop models that lead to cost-effective and sustainable management strategies.
Ultimately, we are looking at weather models to help make decisions in building energy systems and in energy management while taking into account a changing climate.
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Brief Bio
Dr Merlinde Kay is currently a senior lecturer within the School of Photovoltaic and Renewable Energy Engineering. She has 15 years’ experience in various aspects of atmospheric/environmental science, weather forecasting and modelling. Her recent area of expertise is in the Energy Meteorology space.
Dr Kay has worked as a research associate for the Centre for Energy and Environmental Markets in the School of Electrical Engineering and Telecommunications. This position involved working on wind energy forecasting for the energy sector in line with the National Electricity Markets (NEM) dispatch time frames. She has also worked as a weather risk analyst in the private sector for Weather Risk Management Services (WRMS). This position involved preparing meteorological forecasts with a specific focus on precise and accurate predictions of temperature and wind conditions for the energy sector, as well as preparing corporate reports and seasonal forecasts.
Dr Kay has successfully completed and led an ASI project which developed tools that combined weather and climate forecasting with strategies to manage large amounts of solar and wind energy in the main electricity grid. She was also the UNSW lead of the ARENA funded Australian Solar Energy Forecasting System (ASEFS), with the main contributions to the forecasting system the development of short term forecasts (1 – 6 hours ahead) using cloud motion vectors. Her current research is investigating the effects a changing climate will have on siting of renewable technologies
