Skip to ContentSkip to Navigation
How to find us prof. dr. ir. M. A. van den Broek

prof. dr. ir. M. A. van den Broek

Adjunct Hoogleraar
prof. dr. ir. M. A. van den Broek


Algorithmic Computing and Data mining for Climate integrated Energy System Models. NWO big data and energy system integration project.

in collaboration with Utrecht University, TenneT, and KNMI

The large-scale use of renewable energy poses new challenges, due to daily and yearly fluctuations in the weather. Energy network operators use computer models to help them select the best combination of financial and practical measures to tackle these challenges. The goal of this study is to improve these models. For instance, processes in the areas of climate, weather, energy production and energy demand will be collectively analysed through the use of Big Data analysis techniques. This will make it possible to estimate the requirements for a reliable electricity supply under future weather conditions while also making allowance for new trends, such as the electrification of transport and heating.

DIRT-XEvaluating sediment Delivery Impacts on Reservoirs in changing climaTe and society aCROSS scales and sectors

In this project IREES is responible for assessment of interactions between energy sector and hydropower.

Hydropower already provides about 14% of the energy production in EU-27+UK with very high shares in countries like Sweden, Norway, and Austria. Services of the water reservoirs to the energy sector and water sector will become even more important with the implementation of the Paris Agreement and the UN Sustainable Development Goals (SDG) #7 “Affordable and clean energy” and #6 “Clean water and sanitation”.

The integration of hydrological process modelling with economic models assessing water stress, cross-sectoral conflicts, and energy system enables investigation into the how hydrologic impacts are best translated into economic consequences and what are the implications of climate impacts within these systems. Furthermore, the project will improve models to assess interdependencies and economic value of water usage across sectors and their response to changes in runoff and water storage volumes. Theme 3 is supported indirectly through the evaluation of socioeconomic scenarios, incorporating SSPs and targeted model experiments and comparison of the outcomes with the long-term objectives in the Paris Agreement.

Last modified:23 June 2020 2.49 p.m.