Skip to ContentSkip to Navigation
Rijksuniversiteit Groningenfounded in 1614  -  top 100 university
Over ons Praktische zaken Waar vindt u ons W. (Wided) Medjroubi, PhD

Research interests

My research focuses on “The Role of Energy System Modeling and Open Science: Exploring Local and Sector-Specific Solutions, Strategies, and Environmental Impacts”. Along this research topic, I am interested in the following questions:

– How to develop robust, collaborative, and transparent models capable of effectively addressing the complexities of coupled and large-scale future energy systems?

– How can energy models and data capabilities contribute to the energy system resilience in the face of unforeseen disruptive events, such as geopolitical conflicts and extreme weather events (e.g., heatwaves)?

- How can we provide extensive, scientifically robust, and transparent insights that contribute to the successful implementation of the energy transition, particularly at the local and regional levels, to serve the interests of diverse stakeholders?

– What is the impact of climate change on energy production, consumption, and transport?

Moreover, two of my passion topics are: Geographic Information System (GIS) and Open Science and how they can be used in the context of energy system modelling to help with the energy transition.

Publicaties

Green hydrogen production potential in New Zealand cities: A bottom-up geospatial approach

GIS-based Modelling of Hydrogen Integration in Urban Energy Systems – a Systematic Review

Comparison of different methods of spatial disaggregation of electricity generation and consumption time series

Economic Assessment of Demand Response Using Coupled National and Regional Optimisation Models

Integration of water electrolysis facilities in power grids: A case study in northern Germany

Open Source Tool for the Analysis and Simulation of Urban Energy Infrastructures

SciGRID_gas - Data Model of the European Gas Transport Network

Assessment of the regionalised demand response potential in Germany using an open source tool and dataset

Detecting pipeline pathways in landsat 5 satellite images with deep learning

The sensitivity of power system expansion models