Simulation of Energy and Media Demand of Batch-Oriented Production Systems in the Beverage Industry

Raik Martin Bär, Sebastian Schmid, Michael Zeilmann, Joachim Kleinert, Karsten Beyer, Karl Glas and Tobias Voigt
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Raik Martin Bär: Brewing and Beverage Technology, Technical University of Munich, Weihenstephan, 85354 Freising, Germany
Sebastian Schmid: Food Chemistry and Molecular Sensory Science, Technical University of Munich, Weihenstephan, 85354 Freising, Germany
Michael Zeilmann: Brewing and Beverage Technology, Technical University of Munich, Weihenstephan, 85354 Freising, Germany
Joachim Kleinert: SimPlan AG, 01217 Dresden, Germany
Karsten Beyer: SimPlan AG, 01217 Dresden, Germany
Karl Glas: Food Chemistry and Molecular Sensory Science, Technical University of Munich, Weihenstephan, 85354 Freising, Germany
Tobias Voigt: Brewing and Beverage Technology, Technical University of Munich, Weihenstephan, 85354 Freising, Germany

Sustainability, 2022, vol. 14, issue 3, 1-23

Abstract: The global brewing industry is facing enormous environmental challenges and is urgently required to produce sustainably and efficiently. The rising costs of energy and electricity are forcing small and medium-sized breweries in particular, which are confronted with barriers such as lack of capital and know-how, to make substantial changes. This article presents an extended approach to prognose the energy and media demand for batch-oriented production of a brewery. Therefore, based on a modeling editor as well as a standardized data structure and an approach to determine the simulation-relevant parameters, a solution for fast and easy model generation was developed. Extensive measurement recordings within a brewhouse were performed to create a comprehensive model with recipe-specific parameters and detailed production plans. A simulation model can be generated automatically from a configuration file in a simulation environment that has been extended to include the mapping of batch-oriented operation. A validation is presented and a maximum deviation of the electrical and thermal energy demand of 1–2% is achieved. In combination with a preliminary work, the holistic simulation of the complex combined production of batch-oriented and discrete operation within the brewery is presented and allows comprehensive analysis as well as optimization towards sustainable production.

Keywords: modeling; simulation; energy and media demand; validation; brewing industry (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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