Purpose and goal
Sweden´s electricity grid faces major challenges that risk hampering the industry´s transition if they are not addressed and resolved. Traditional methods for grid planning are often manual, reactive and based on historical data and information, which are not sufficient to handle the rapid changes taking place in today´s society.
The aim is to develop a prototype of a tool that can provide a more proactive and future-oriented view of the grid´s development.
Expected effects and result
Strengthen the competitiveness of Swedish companies in both the energy sector and the manufacturing industry by ensuring that more industries receive the right amount of electrical power when they need it.
Through optimized grid planning, GridForesight can help reduce the costs and environmental impact of grid expansion.
Through the integration of both new fossil-free energy production as well as new fossil-free manufacturing, GridForesight can help reduce Sweden´s carbon dioxide emissions.
Planned approach and implementation
Step 1 is to train a model for the electricity grid according to the current architecture, to ensure that the model arrives at what the grid looks like today.
Step 2 is that the model can come up with "minor" action suggestions based on an external change, e.g. changed power output for industry.
Step 3 is about the model developing completely new grid scenarios that are drawn into the geography where different alternative solutions are presented to handle e.g. industry´s new power needs.
The project description has been provided by the project members themselves and the text has not been looked at by our editors.
