Harnessing Heterogeneity: Understanding Urban Demand to Support the Energy Transition

This thesis demonstrates that heterogeneous spatio-temporal demand profiles are required for a realistic representation of urban energy systems. This is needed to prepare them for the energy transition. Therefore, existing and future urban energy system models should be expanded with more detailed spatio-temporal local demand data that account...

Transmission expansion planning under increased uncertainties, towards efficient and sustainable power systems

The ongoing liberalization process around the world has led to the emergence of energy markets, facilitating more international trade between countries making the best use of energy resources and optimizing overall power systems. Consequently, inter-area power exchanges have significantly increased and further growth can be foreseen. In Europe,...

The Power of Electric Vehicles - Exploring the Value of Flexible Electricity Demand in a Multi-actor Context

Electric vehicles (EVs) have the potential to play a crucial role in clean and intelligent power systems. The key to this potential lies in the flexibility that EVs provide by the ability to shift their electricity demand in time. This flexibility can be used to facilitate the integration of renewable energy sources by adjusting EV demand to the...

Electricity without borders - The need for cross-border transmission investment in Europe

An increase in cross-border electricity flows is foreseen in Europe in the coming decades due to large-scale penetration of renewable energy, the electrical integration of the Euro-Mediterranean region, the electrification of transport, and possible shifts in electricity generation dispatch caused by the evolution of CO2 prices. This...

Integration of stochastic generation in power systems

Stochastic Generation is the electrical power production by the use of an uncontrollable prime energy mover, corresponding mainly to renewable energy sources. For the large-scale integration of stochastic generation in power systems, methods are necessary for the modeling of power generation uncertainty. In this thesis, new tools for the...