Dr Phil Grünewald (FICE) uses interdisciplinary and data driven approaches to understand and household energy demand and its flexibility.
He is a Supernumerary Research Fellow and Tutor at Oriel College. Phil held an EPSRC Fellowship from 2015-21 and was PI of the METER study, which pioneered machine learning approaches to understand household energy use via diary and meter data.
Before joining the Engineering Science Department, Phil was at the School of Geography and the Environment (2013-20), where he led the Oxford Energy Network and the Flexibility theme of the Energy Program in the Environmental Change Institute.
Phil was awarded an interdisciplinary UKERC scholarship for his PhD at Imperial College London on the future role of grid storage.
Prior to academia, Phil developed the world’s first lithography tools for Intel, as a Marie Curie Fellow, and laser processes for the photovoltaic industry. He also cycled round the world.
