SUSIC
Smart Utilities and Sustainable Infrastructure Transformation
Project duration: June 2019 – December 2021
Climate change, the energy transition and urbanisation – a sustainable, efficient and, at the same time, cost-effective energy supply is increasingly becoming a focus of public attention. As part of the Smart Infrastructure Hub Leipzig, the University of Leipzig and HTWK Leipzig are therefore conducting research within the framework of the collaborative project “Smart Utilities and Sustainable Infrastructure Change” (SUSIC) to develop innovative, infrastructure-based supply solutions and assessment methods for urban and regional areas in the context of dynamic system structures. HTWK Leipzig is actively working on three sub-projects, which together form Sub-project 2 of the SUSIC research project. The aim is to develop data transmission and control algorithms for intelligent agents within the low-voltage energy supply system. The intended outcome is a prototype energy management system (EMS) based on an expert system, which regulates the various actors according to different operational logics in line with local or regional objectives and is tested using generic simulation models.

Sub-project | Control of operational logic for centralised and decentralised actors
To verify how the energy management system works, actors from the low-voltage grid are modelled within SimulationX’s object-oriented simulation environment. To this end, simulation objects are created for various energy systems, with a particular focus on sector-coupling technologies such as heat pumps and electric mobility. Based on the energy sector’s framework conditions, operational logic and degrees of freedom of the technologies under consideration, as well as agent-driven behaviour, rules for energy management are derived and their impact on the modelled system is quantified. From this, conclusions are drawn regarding the necessary real-world data collection and the creation of smart incentives for the efficient and effective control of the behaviour of the actors.
Project supervisor:Prof. Dr.-Ing. Jens Schneider
Researcher: Martin Hafemann

Sub-project | System engineering for the energy management system
The central units for the properties and the low-voltage and local networks will be designed and implemented in this project phase. The fundamental structures for monitoring and controlling the system, as well as interfaces to other systems, are established. The aim of the system design is to create a dynamic, modular, scalable and freely configurable system. The individual energy components are controlled by a rule-based system (expert system). The resulting system is tested using ‘hardware-in-the-loop’ simulation and must be scalable in terms of time as well as capable of real-time operation. This enables various scenarios to be created quickly and the stored rules to be validated and expanded.
Project supervisor:Prof. Dr.-Ing. Andreas Pretschner
in collaboration with: Prof. Dr.-Ing. Markus Krabbes
Researcher: Ken Paulitz


Sub-project | Empirical basis and data collection
Sub-project 3 involves collecting real-world data for the energy management system (EMS). Data collection will be based on state-of-the-art methods. However, there is a strong need to protect personal data, as the data transmitted could be used to create a detailed profile of users’ movements and behaviour. To enable the data to be used for the EMS nonetheless, user data is encrypted using homomorphic encryption. This type of encryption allows the data to be processed whilst still in encrypted form. Consequently, no conclusions can be drawn about the data relating to individual persons. Ideally, this process must take place at the sensor level. However, the computing power available at the sensors and actuators is very limited; to ensure strong encryption nonetheless, this research project is developing hardware and software that meets these requirements.
Project supervisor:Prof. Dr.-Ing. Faouzi Derbel
Research assistant: Johannes Braun
Project Management


Sub-project
System Engineering of the Energy Management System

Sub-project
Empirical basis and data collection


- Section:
- PF
- Location:
- WI 313.2.2
- Phone:
- +49 341 3076-1276





