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Journal of Sustainable Development of Energy, Water and Environment Systems, Vol. 6 No. 1, 2018.

Original scientific paper

https://doi.org/10.13044/j.sdewes.d5.0168

Simulation-based Strategies for Smart Demand Response

Ines Leobner ; Institute for Energy Systems and Thermodynamics, TU Wien, Getreidemarkt 9, Vienna, Austria
Peter Smolek ; Institute for Energy Systems and Thermodynamics, TU Wien, Getreidemarkt 9, Vienna, Austria
Bernhard Heinzl ; Institute for Computer Aided Automation, TU Wien, Favoritenstr. 9-11, Vienna, Austria
Philipp Raich ; Institute for Computer Aided Automation, TU Wien, Treitlstraße 3, Vienna, Austria
Alexander Schirrer ; Institute for Mechanics and Mechatronics, TU Wien, Getreidemarkt 9, Vienna, Austria
Martin Kozek ; Institute for Mechanics and Mechatronics, TU Wien, Getreidemarkt 9, Vienna, Austria
Matthias Rössler ; dwh GmbH, Simulation Services, Neustiftgasse 57-59, Vienna, Austria
Benjamin Mörzinger ; Institute for Production Engineering and Laser Technology, TU Wien, Getreidemarkt 9, Vienna, Austria

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Abstract

Demand Response can be seen as one effective way to harmonize demand and supply in order to achieve high self-coverage of energy consumption by means of renewable energy sources. This paper presents two different simulation-based concepts to integrate
demand-response strategies into energy management systems in the customer domain of the Smart Grid. The first approach is a Model Predictive Control of the heating and cooling system of a low-energy office building. The second concept aims at industrial Demand Side Management by integrating energy use optimization into industrial
automation systems. Both approaches are targeted at day-ahead planning. Furthermore, insights gained into the implications of the concepts onto the design of the model, simulation and optimization will be discussed. While both approaches share a similar architecture, different modelling and simulation approaches were required by the use
cases.

Keywords

Smart grids; Demand response; Modelling and simulation; Energy efficiency in industry; Smart buildings; Industrial energy management; Heating and cooling control; Optimization

Hrčak ID:

194966

URI

https://hrcak.srce.hr/194966

Publication date:

31.3.2018.

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