Our objective is to support the governance of energy technology change with dynamic decision support models.
What actors, determinants and mechanisms are fostering or hindering the spread of clean and energy-efficient technologies?
How should an efficient and effective trans-formation towards a sustainable energy system be
governed and managed?
We are developing and testing dynamic theories on institutional structures, decision making and energy system behavior.
We apply and visualize simulation models as
micro worlds and boundary objects for strategy making, policy design and analyses.