Energy Systems Modelling and Impact Assessment

Our mission is to contribute to sustainable development through decision support with analysis of future energy systems and assessment of the impact of energy technologies.

The section assesses the transition of the energy system considering the energy trilemma, ensuring high societal value, low climate and environmental impact, and high security of supply. Furthermore, the section research how to balance energy systems with high shares of variable renewable energy generation with different flexibility options (transmission grids, storages, demand-side management, and peak generation).

We develop an impactful modelling tool chain that combines the CorRES’s (https://corres.windenergy.dtu.dk) high‑resolution wind and solar timeseries generation, with energysystem modelling  (Balmorel*, Balancing Tool Chain, and/or other tools) to assess e.g., how weather variability shapes future energy systems, as well as the impacts on adequacy, flexibility, investments and cross‑sector interactions. Together, they form a powerful modelling chain that supports reliable, cost‑efficient planning of increasingly weather‑dependent energy systems.

We, furthermore, use the large-scale energy system modelling tools to assess the integration and impact of energy technologies (e.g. wind turbine design and wind farm layouts), energy infrastructure, sector coupling, green fuels, and smart energy systems through multi-criteria evaluation tools that quantify costs, benefits, and societal implications of specific technology and market innovations. 

GitHub https://github.com/balmorelcommunity

 

 

Disciplines

  • Energy and environmental engineering
  • Applied mathematics
  • Applied statistics 
  • Economics
  • Innovation studies

Competences

  • Mathematical modelling
  • Optimization under uncertainty  
  • Renewable energy forecasting and variability modeling 
  • Modeling and experimental validation 
  • Power system stability 
  • Power system modeling and balancing 
  • Weather-dependent energy system analysis
  • Supply chain risk analysis
  • Cost/benefit tradeoff analysis 
  • Artificial Intelligence/ Machine Learning
  • Life Cycle Assessment of energy technologies and systems
  • Multi Criteria Decision Analysis
  • Energy economics

Research area & applications

Energy system modelling:

  • Continental scale energy system modelling
  • Investment and operation optimisation
  • Modelling of infrastructures and sectorcoupling
  • Green fuel production (including PtX and CCUS)
  • Global Sensitivity
  • Analysis Smart coupling of energy system models
  • Surrogate model development applying machine learning

Weather dependent energy systems:

  • Variability of weather dependent generation resources
  • Forecast uncertainty of weather dependent generation
  • Weather dependent energy prices
  • Balancing energy systems with different flexibility options (transmission grids, storages, demand-side management, and peak generation)
  • Power system balancing and adequacy of reserves

Impact Assessment

  • Least-cost optimization of future energy systems
  • Impacts of different energy technologies on energy systems (e.g. costs, revenues and environmental impacts)
  • Planetary boundaries of future energy systems
  • Cascading uses of biomass residues
  • Resilient future energy systems (weather, incidents, resource consumption)
  • Social acceptance (renewable potentials and externality costs)

Head of Section

Marie Münster

Marie Münster Head of Section Department of Wind and Energy Systems Mobile: +45 23100284

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