Price Winner: Daniel Schachinger
By considering all relevant influences, an optimized operation of energy consumers and producers in the building automation domain will be realized in order to satisfy comfort requirements and reduce costs and energy consumption. For this purpose, an abstraction layer is defined to enable a technology-independent modeling of involved systems and their semantics by means of a knowledge base. Thus, a decoupling of physical processes and optimization logic is ensured, which enables the use of this energy management system in various buildings independent of their size and usage type. The optimization heuristic uses the abstract knowledge base to dynamically decide on strategies and schedules for energy management.
Daniel Schachinger will spend the award of 4,000 € especially for publication of research results at scientific conferences. Already accepted as well as planned submissions to the IEEE International Workshop on Factory Communication Systems (WFCS) 2017, the IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) 2017, and the IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES) 2018 are used to exchange ideas and knowledge with the scientific community. Moreover, some hardware components will be bought in order to improve the evaluation by means of experiments with real hardware.