Within this focus, we finance collaborative projects that, using methods in advanced digitalisation contribute to increased flexibility and energy efficiency in industrial electricity use. This can be done individually or in clusters of industries in a geographical area. Some examples of interesting areas are operational optimization and decision support for industries, preferably in collaboration with various relevant actors, which can contribute to more optimized electricity use locally and regionally.
The focus does not cover technology development for electricity generation, battery technology, hydrogen production and charging infrastructure. However, these can constitute important functions and data sources that actors need to contribute to increasing the industry's optimal and efficient production and use of electricity, including flexible electricity use. Nor is the electrification of vehicles covered, unless it is as part of a concrete industrial context, for example autonomous vehicles or machines in a mine or a port.
Underlying needs
Electrification is a central part of the sustainable transition of industry and fossil fuel independence. The need for electricity can therefore increase dramatically in areas where industries are established, or wish to establish themselves. When industries abandon fossil fuels, which have been used as raw materials in industrial processes, the use of other more sustainable energy carriers such as hydrogen increases. Hydrogen is produced via electrolysis, a process that requires large amounts of electricity. In other cases, there is a switch from fossil-based to electrified industrial heating using, for example, heat pumps or electric arc furnaces. Overall, the demand for electricity increases as other energy carriers are phased in and replace the fossil alternatives.
Today, the electrification of industry is limited by the insufficient transmission capacity of the electricity grid. One limiting factor is the ability to expand existing grid subscriptions and to obtain grid connections for new industrial facilities. When large consumers improve energy efficiency and adapt electricity consumption to the currently available grid capacity, it frees up space that allows for shorter connection times for new or expanded operations.
Advanced digital technologies, such as artificial intelligence, can help meet the industry's need to develop and implement models for forecasting, decision support and more automated control. In this way, achieving increased efficiency and flexibility for one or more industrial actors in geographical clusters increases the possibility of connecting to the electricity grid faster and accelerating electrification.
Expected effects
The projects are expected to increase the possibility of flexible electricity use among one or more industrial actors in a geographical cluster, preferably in collaboration with various relevant parties.
Advanced digital technology will help optimize the operation of industrial facilities in real time using model-based control. This often means that large amounts of data need to be managed and analyzed continuously, for example using AI/ML-based algorithms and models such as digital twins of industrial facilities and their context in the energy system or electricity grid.
Digital models can also be built to provide decision support for the control of an entire cluster of factories and other consumers in a geographical area. This provides the opportunity to adapt the cluster's total electricity use to the currently available grid capacity via price signals and other influencing factors. results of the projects will thus enable more actors and expanded activities to be connected to the grid more quickly, thereby accelerating the electrification of industry.
Digital solutions must be consistently designed taking into account aspects of resilience and robustness, including cybersecurity.
Project will contribute to developing and implementing results that ensure industry's access to the electricity it needs, when it is needed, at a reasonable price.