Add to ORKGQuantitative energy system modelling based on primarily linear mathematical optimization provide a basis to answer political, technical, and economic questions regarding the future development of electricity systems. In order to capture the complexity of future decentralized electricity system, models are required to become increasingly complex. This presentation outlines how high performance computing (HPC) can be applied to energy system modelling and describes challenges and benefit that arise when complex energy models based on linear and non-linear algorithms are applied to parallel computing. The presentation draws on results from the project BEAM-ME funded by the German Federal Ministry for Economic Affairs and Energy. The researc...
Energy system optimization models used for capacity expansion and dispatch planning are established ...
The talk describes several speed-up strategies applied to a optimising linear energy system model (O...
Long term capacity expansion planning requires making decisions now, which have an impact on the ene...
State-of-the-art energy system models include a comprehensive representation of energy sectors and t...
Decarbonisation of the energy system requires substantial efforts along all sectors. This necessitat...
Most state-of-the art optimizing energy system models are characterised by a high temporal and spati...
Energy systems research strongly relies on large modeling frameworks. Many of them use linear optimi...
The increasing complexity of optimizing energy system models to answer research questions in more an...
Energy system optimization models used for capacity expansion and dispatch planning are established ...
Within the interdisciplinary BMWK-funded project UNSEEN, experts from High Performance Computing, ma...
We address the crucial aspect of unmanageable computing times of large-scale Energy System Optimizat...
The transition of the energy system towards a sustainable supply with low carbon emissions requires ...
On May 22, 2019, the final workshop of the BEAM-ME project took place in Aachen, Germany. In the BE...
In the Renewables Directive of the European Union, in effect since 2009, the member states agreed th...
This paper provides results from the BEAM-ME project. The project was conducted by an interdisciplin...
Energy system optimization models used for capacity expansion and dispatch planning are established ...
The talk describes several speed-up strategies applied to a optimising linear energy system model (O...
Long term capacity expansion planning requires making decisions now, which have an impact on the ene...
State-of-the-art energy system models include a comprehensive representation of energy sectors and t...
Decarbonisation of the energy system requires substantial efforts along all sectors. This necessitat...
Most state-of-the art optimizing energy system models are characterised by a high temporal and spati...
Energy systems research strongly relies on large modeling frameworks. Many of them use linear optimi...
The increasing complexity of optimizing energy system models to answer research questions in more an...
Energy system optimization models used for capacity expansion and dispatch planning are established ...
Within the interdisciplinary BMWK-funded project UNSEEN, experts from High Performance Computing, ma...
We address the crucial aspect of unmanageable computing times of large-scale Energy System Optimizat...
The transition of the energy system towards a sustainable supply with low carbon emissions requires ...
On May 22, 2019, the final workshop of the BEAM-ME project took place in Aachen, Germany. In the BE...
In the Renewables Directive of the European Union, in effect since 2009, the member states agreed th...
This paper provides results from the BEAM-ME project. The project was conducted by an interdisciplin...
Energy system optimization models used for capacity expansion and dispatch planning are established ...
The talk describes several speed-up strategies applied to a optimising linear energy system model (O...
Long term capacity expansion planning requires making decisions now, which have an impact on the ene...