Load-dependent grid tariffs are considered an essential contribution to achieving energy policy goals. The project anticipates this development, tests load-dependent grid tariffs to determine activatable flexibility potentials of household customers under real operating conditions, investigates aspects of the practical implementation of these future tariff structures by grid operators, and supports the development of a common position of the Austrian grid industry for a feasible and efficient design of future grid tariff structures in Austria.
Factsheet#
| Short name | INNOne |
| Title | Interaktive Netzoptimierung und Netztarife |
| Duration | 01.03.2023 – 31.10.2026 |
| Partners | 10 (show all) |
| Project type | Co-funded research project |
| Project lead AIT | Carolin Monsberger |
Overview#
The project INNOnet investigates the effects of load-dependent grid tariffs on customer consumption behavior within a regulatory sandbox involving more than 1,000 households and develops optimized tariff structures to effectively address the challenges of the energy transition for electricity grids. The project results enable decision makers in the energy system - particularly regulators - to evaluate different options for future grid tariffs with regard to their suitability, both to mitigate future grid-related challenges and to ensure customer acceptance.
By implementing load-dependent (dynamic) grid tariffs, actual grid usage can be more accurately reflected, and price-based incentives can help avoid grid-stressing generation peaks in the low-voltage network.
Findings#
Dynamic grid tariffs influence consumption behavior#
Time-variable price signals can actively steer household consumption behavior and help reduce peak loads in the grid.
Flexibility potentials can be identified under real conditions#
By analyzing real-world data and test environments, activatable flexibilities in electricity consumption can be identified and utilized.
Grid simulations support the development of future tariffs#
Simulations enable the evaluation of different scenarios and support the development of suitable tariff models for future energy systems.
Activities#
WP1: Project Management
WP1: Project Management Lead: AIT
This work package includes the coordination of the entire project as well as alignment between project partners. It covers the organization of meetings, progress monitoring, and ensuring compliance with timelines and budgets.
Further information#
Publications#
Project partners#
- AIT Austrian Institute of Technology GmbH (Project coordination)
- HAKOM Time Series GmbH
- Energy Institute at Johannes Kepler University Linz
- FH Upper Austria Research & Development GmbH
- Siemens AG Austria
- Netz Oberösterreich GmbH
- Energienetze Steiermark GmbH
- LINZ NETZ GmbH
- tounify GmbH
- clever-PV GmbH
Funding#
This project is funded by the granting organisation Federal Ministry of Agriculture and Forestry, Climate and Environmental Protection, Regions and Water Management and the FFG under the project number FO999894848. The FFG is the central national funding agency and strengthens Austria’s innovative capacity. More information can be found in the FFG project database