Talks and Poster Presentations (with Proceedings-Entry):
I. Leobner, A. Schirrer, S. Hauer, M. Kozek, K. Ponweiser:
"Energy System Modeling for Model Predictive Control of a Building";
Talk: 11th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES 2016),
- 2016-09-09; in: "Proceedings of the 11th Conference on Sustainable Development of Energy, Water and Environment Systems",
Faculty of Mechanical Engineering and Naval Architecture, Zagreb,
Full coverage of the energy demand by fluctuating renewables can only be achieved if the demand side can be harmonized with the supply. The presented work aims to contribute by realizing load shift potentials through a methodology for optimized control strategies, based on model-predictive controllers (MPC). The controller uses a simulation model of the energy system to predict the building behavior. This paper presents a suitable modeling approach and process to meet the demands of this form of simulation application. The feasibility of the developed model predictive controller and the according energy system modeling approach was demonstrated by implementing the controller in an office building in Vienna.
Modeling and Simulation, Model Predictive Control, Smart Grids, Building Performance Simulation, Demand Side Management
Created from the Publication Database of the Vienna University of Technology.