Izvorni znanstveni članak
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
Sažetak
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.
Ključne riječi
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
Datum izdavanja:
31.3.2018.
Posjeta: 1.314 *