Lisa Göransson is employed as Associate Professor at the division of Energy Technology, Chalmers
University of Technology. The focus of her research is on the integration of varying
renewable generation and energy systems modeling. She received her PhD in 2014 with a
thesis entitled “The impact of wind power variability on the least-cost dispatch of units in
the electricity generation system”. Her current work is dedicated to variation management,
sector coupling and degrees of decentralization. This work is carried out together with the
six PhD students under her supervision, and include collaborations with electrical
engineering, mathematics, computer science and social science. Her extensive work on
strategies to manage variations in the electricity and energy systems has resulted in a
functionality-based framework to support the choice of strategies in different system
contexts. The work relies on a foundation of new methods and models to include variability,
variation management strategies and sector coupling in tools for energy systems planning
developed within the her research group.
Lisa Göransson is employed as Associate Professor at the division of Energy Technology, Chalmers
University of Technology. The focus of her research is on the integration of varying
renewable generation and energy systems modeling. She received her PhD in 2014 with a
thesis entitled “The impact of wind power variability on the least-cost dispatch of units in
the electricity generation system”. Her current work is dedicated to variation management,
sector coupling and degrees of decentralization. This work is carried out together with the
six PhD students under her supervision, and include collaborations with electrical
engineering, mathematics, computer science and social science. Her extensive work on
strategies to manage variations in the electricity and energy systems has resulted in a
functionality-based framework to support the choice of strategies in different system
contexts. The work relies on a foundation of new methods and models to include variability,
variation management strategies and sector coupling in tools for energy systems planning
developed within the her research group.