Industrial collaborative research
The IGF is a successful, open-topic, pre-competitive funding program across Europe that provides small and medium-sized enterprises (SMEs) with easy access to research and current research results. The FE currently has projects in the areas of automation, lighting, data and transmission technology.
The IGF funding structure at a glance
Normal procedure
General national funding accounts for approximately 90 percent of the IGF's total budget, making it the most extensive funding within the program.
- Applications possible at any time.
CORNET
Collective Research Networking (CORNET) is the international funding variant of industrial collaborative research with partners from at least two countries or regions.
- Submission to fixed tender rounds (usually twice a year).
Leading technologies for SMEs
The Leading Technologies for SMEs program variant focuses on system-relevant key projects for the competitiveness of SMEs.
- Application depends on available budget funds.
Current projects
Process-driven adaptation of agent-based control systems for modular assembly solutions
- Funding code: 01IF23331N
- Project period: 2024-2026
- Conducting research institutions: BIBA Bremen
The focus of the IGF project “PassForM2” is on control systems for modular assembly solutions.
Method for assessing physiological glare in industrial hall lighting
- Funding code: 01IF23330N
- Project period: 2024-2027
- Conducting research institutions: Technische Universität Ilmenau
The IGF project "BEBLEIND" focuses on methods for assessing physiological glare in the lighting of industrial halls.
Real-time capable 5G networks for industrial automation
- Funding code: 01IF23171N
- Project period: 2023-2025
- Conducting research institutions: Technische Hochschule Ostwestfalen-Lippe, Hochschule Offenburg
The focus of the IGF project 01IF23171N ("plug5G") is the connection of 5G technology with TSN networks. This is intended to create new networking opportunities for industrial applications and open doors for greater efficiency and new business models.
Modification-free angle and torque measurement
- Funding code: 01IF23006N
- Project period: 2023-2025
- Conducting research institutions: IPH - Institut für Integrierte Produktion Hannover gGmbH
The aim of the IGF project "Modimo" is to develop a novel measurement method to improve the process of torque and speed measurement in technical systems such as wind turbines, electric motors or steering shafts of cars.
Prediction of the reliability and lifetime of LED luminaires at the system and component level by aging under laboratory and field conditions using current data science methods
- Funding code: 01IF22293N
- Project period: 2022-2025
- Conducting research institutions: TU Darmstadt
The goal of the IGF project "PQL III" is to be able to make a precise prediction of the service life of luminaires for use in special environments, taking environmental and operating conditions into account. To develop degradation models using physical and AI-driven modeling approaches, luminaires are being investigated at the system and component levels in the field and laboratory.
Digital planning and simulation of hybrid AC/DC energy networks in automated production plants
- Funding code: 01IF00050E / 01IF00051E
- Project period: 2022-2025
- Conducting research institutions: Friedrich-Alexander-Universität Erlangen-Nürnberg
The energy transition leading technology project "DC|hyPASim" uses digital models to investigate the extent to which DC grids can be quickly and cost-effectively linked to existing industrial grids for the efficient integration of decentralized renewable energies and storage technologies. The focus is on energy exchange between AC and DC networks, energy storage, converter dimensioning and expandability, as well as safety technology and control strategies.
Inconsistency detection and tracking for process control planning of field devices in the process industry
- Funding code: 01IF23423N IEV4PI
- Project period: 2023-2025
- Conducting research institutions:
In the process industry, the likelihood of inconsistencies between field devices is constantly increasing when planning process control technology due to the increasing number of exchanged, reused, and differently secured information objects, as well as the involvement of various disciplines. The goal of this project is to resolve and classify inconsistencies early in the process control technology planning process.
Stefan Bergstein
Management
Forschungsvereinigung Elektrotechnik beim ZVEI e. V. (FE)
Amelia-Mary-Earhart-Str. 12
60549 Frankfurt am Main
Amelia-Mary-Earhart-Str. 12
60549 Frankfurt am Main