Project Description

EDCSproof is the keyword for "Energy Demand Control System PROcess Optimization For industrial low temperature systems" and is a development of a control concept for industrial energy supply systems.

The increasing integration of renewables into the electricity grid leads to increasingly fluctuating supply, demanding increasingly flexible consumers (demand-side management), especially in the energy-intensive industry. The primary outcome of the project EDCSproof is a predictive, holistic, and reconfigurable control concept for industrial energy supply systems. The control system identifies and utilizes flexibilities in the energy system to turn the industrial plant into a flexible consumer in electric grids.

The core of the control system

The core of the control system is a two-layer model predictive controller utilizing production plans, weather predictions, and price predictions to optimize the plants' energy supply. Further, the control system includes a user-friendly human-machine interface for efficient input of production plans, visualization of current and predicted plant states and possible intervention by operators and managers. An observer is integrated into the energy supply system to estimate the current status of the energy supply system.

During the project EDCSproof, the control concept was designed and tested in the laboratory. In the ongoing follow-up project Industry4Redispatch, the control concept is implemented in three industrial plants.

Schematic illustration of a wind power plant and the path of the electricity to the household appliances

Video presentation

Interested in more information?

Watch our project video on this exciting topic!

After activation, data may be transmitted to third parties. Data protection declaration., opens in new window

Video Title: EDCSproof - Optimization for industrial low temperature systems


Zauner, Michael, Philipp Mandl, Oliver König, Christoph Hametner, and Stefan Jakubek. "Stability analysis of a flatness-based controller driving a battery emulator with constant power load, opens an external URL in a new window." at-Automatisierungstechnik 69, no. 2 (2021): 142-154.

Zauner, Michael, Philipp Mandl, Christoph Hametner, Oliver König, and Stefan Jakubek. "Flatness-Based Discrete-Time Control of a Battery Emulator Driving a Constant Power Load, opens an external URL in a new windowIEEE Journal of Emerging and Selected Topics in Power Electronics 9, no. 6 (2021): 6864-6874.


  • July 2020 - December 2021


Privatdoz. Dipl.-Ing. Dr.techn. Alexander Schirrer

Send email to Alexander Schirrer