Topic: Flexible Demand to Integrate Renewables? What Happens When Households Attempt to Shift Load?
Speaker: Philipp Grünewald, from University of Oxford
Bio: Philipp Grünewald is Deputy Director of Energy Research at the University of Oxford, Flexibility Theme Leader of the Energy Programme at the Environmental Change Institute and Fellow of the Institution of Civil Engineers. He currently holds a Fellowship from the UK Engineering and Physical Sciences Research Council (EPSRC) and from the Frank Jackson Foundation. He is an associate member of the UK Energy Research Centre and the Oxford Martin Programme on Integrating Renewables.
Phil leads the METER study, which develops machine learning tools and collects data on the relationship between household activity patterns and electricity demand.
He obtained his PhD from Imperial College London for his modelling of the role of large scale storage in low carbon energy systems. Previously he developed laser tools for the PV industry and a 13nm microstepper for Intel.
Abstract: Integrating large scale renewable energy technologies relies on new forms of flexibility to make up for the loss in responsive fossil fuel plants. Storage is an obvious technical solution. Demand response is another. But how much can we rely on flexible demand to balance supply? We present new data shining a light on UK household patterns that give rise to high and/or more flexible demand. Activity records show what activities are behind periods of high demand and how people respond when trying to avoid them. These data could form the basis for better load prediction and estimations of system flexibility. They also provide some fascinating insights into household dynamics, including gender (power) balances and the UK's obsession with tea.
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