TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Wohlgenannt, Philipp
A1  - Huber, Gerhard
A1  - Rheinberger, Klaus
A1  - Preißinger, Markus
A1  - Kepplinger, Peter
ED  - Riehl, Roger
T1  - Modelling of a food processing plant for industrial demand side management
T2  - 9th Heat Powered Cycles Conference Proceedings. 10-13 April 2022. University of the Basque Country, Bilbao, Spain.
N2  - Industrial demand side management has shown significant potential to increase the efficiency of industrial energy systems via flexibility management by model-driven optimization methods. We propose a grey-box model of an industrial food processing plant. The model relies on physical and process knowledge and mass and energy balances. The model parameters are estimated using a predictive error method. Optimization methods are applied to separately reduce the total energy consumption, total energy costs and the peak electricity demand of the plant. A viable potential for demand side management in the plant is identified by increasing the energy efficiency, shifting cooling power to low price periods or by peak load reduction.
KW  - grey-box model
KW  - processed food plant
KW  - industrial demand side management
KW  - intelligent thermal energy system
Y1  - 2022
U6  - https://doi.org/10.5281/zenodo.7234548
DO  - https://doi.org/10.5281/zenodo.7234548
SP  - 638
EP  - 649
S1  - 12
PB  - Heat Powered Cycles
CY  - o.O.
ER  -