Add to ORKGThis paper provides results from the BEAM-ME project. The project was conducted by an interdisciplinary team of energy modelers, software developer, experts in high performance computing and operation research. One aim of the project was to develop a novel approach for distributed computing and application of energy system models to high performance computing. Further the project investigated conceptual speed-up methods. In this paper we provide an overview of the main lessons learned from the different approaches. It outlines difficulties that arise for modelers when applying energy system models based on linear programming on large scale distributed machines. Further it offers suggestions for modelers how speed-up of energy system models ...
Energy system models based on linear programming have been growing in size with the increasing need ...
Energy models based on optimization principles are valuable tools for optimizing the design elements...
Internet scale applications such as search engines and social networks run their services on large-s...
On May 22, 2019, the final workshop of the BEAM-ME project took place in Aachen, Germany. In the BE...
The large numbers of variables and constraints and interdependencies in energy system models makes t...
State-of-the-art energy system models include a comprehensive representation of energy sectors and t...
The talk describes several speed-up strategies applied to a optimising linear energy system model (O...
Energy system optimization models used for capacity expansion and dispatch planning are established ...
On May 22, 2019, the final workshop of the BEAM-ME project took place in Aachen, Germany. In the BE...
Energy system optimization models used for capacity expansion and dispatch planning are established ...
Most state-of-the art optimizing energy system models are characterised by a high temporal and spati...
Quantitative energy system modelling based on primarily linear mathematical optimization provide a b...
This talk concentrates on the scaling of approximative solution due to aggregation of linear energy ...
Decarbonisation of the energy system requires substantial efforts along all sectors. This necessitat...
The overarching goal of this thesis is to provide an algorithm-centric approach to analyzing the rel...
Energy system models based on linear programming have been growing in size with the increasing need ...
Energy models based on optimization principles are valuable tools for optimizing the design elements...
Internet scale applications such as search engines and social networks run their services on large-s...
On May 22, 2019, the final workshop of the BEAM-ME project took place in Aachen, Germany. In the BE...
The large numbers of variables and constraints and interdependencies in energy system models makes t...
State-of-the-art energy system models include a comprehensive representation of energy sectors and t...
The talk describes several speed-up strategies applied to a optimising linear energy system model (O...
Energy system optimization models used for capacity expansion and dispatch planning are established ...
On May 22, 2019, the final workshop of the BEAM-ME project took place in Aachen, Germany. In the BE...
Energy system optimization models used for capacity expansion and dispatch planning are established ...
Most state-of-the art optimizing energy system models are characterised by a high temporal and spati...
Quantitative energy system modelling based on primarily linear mathematical optimization provide a b...
This talk concentrates on the scaling of approximative solution due to aggregation of linear energy ...
Decarbonisation of the energy system requires substantial efforts along all sectors. This necessitat...
The overarching goal of this thesis is to provide an algorithm-centric approach to analyzing the rel...
Energy system models based on linear programming have been growing in size with the increasing need ...
Energy models based on optimization principles are valuable tools for optimizing the design elements...
Internet scale applications such as search engines and social networks run their services on large-s...