Analysis and Prediction Methods for Energy Efficiency and Media Demand in the Beverage Industry

Bär, Raik Martin; Voigt, Tobias

doi:10.1007/s12393-019-09195-y

Cited by 10 publications

(14 citation statements)

References 68 publications

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“…A summary of the main consumers in the individual production areas according to energy and media type is presented by Bär and Voigt. [ 8 ] A detailed investigation regarding consumption in the packaging sector is described by Osterroth et al [ 6 ] in a representative survey. Their work provides a good overview of the individual main consumers as well as the consumption structures.…”

Section: Theoretical Principlesmentioning

confidence: 99%

“…Previous approaches are either limited by their focus on only one type of energy and mostly serve only partial areas of production or the underlying model as the basis for validation is not sufficiently realistic or only incomplete. [ 8 ] There are numerous challenges in the implementation or application of the software solutions, which mostly lie in the generation of models. These are related to the creation itself, but also to limitations caused by the companies, especially small and medium‐sized enterprises (SMEs), themselves.…”

Section: Introduction and Objectivementioning

confidence: 99%

“…Based on the results of the authors previous literature work, [ 8 ] a modeling approach for uncovering the potential for increasing energy and media efficiency by simulation is proposed. The prerequisite for this is a formal description and definition of a uniform data structure for the system.…”

Section: Introduction and Objectivementioning

confidence: 99%

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A metamodeling approach for the simulation of energy and media demand for the brewing industry

Bär

Voigt

2021

J Adv Manuf & Process

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Due to economic, social and technical trends, as well as rising energy costs, the food and beverage industry is challenged to work energy‐efficiently. Small and medium‐sized enterprises in particular lack of both time and knowledge to identify and implement suitable energy efficiency measures. With the help of simulation, decision‐makers can pursue numerous approaches and make well‐founded decisions. A metamodel based on four modeling pillars (physical‐, process‐, article/recipe‐, and production plan model) for an entire production system concerning the forecast of energy and media consumption is presented. The metamodel is implemented in a user‐friendly modeling tool, which enables a simple hybrid modeling without prequalification of the user. Subsequently, a standardized data exchange file, as basis for a simulation model, is generated. For validation, various use cases were modeled and the tool was validated using a systematic test. In addition, two simulation studies were performed to show that the presented approach provides the opportunity to create a holistic model in terms of forecasting energy and media consumption.

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Section: Theoretical Principlesmentioning

confidence: 99%

Section: Introduction and Objectivementioning

confidence: 99%

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A metamodeling approach for the simulation of energy and media demand for the brewing industry

Bär

Voigt

2021

J Adv Manuf & Process

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“…As the brewhouse is the main energy consumer of the whole brewery, namely 38% of total energy consumption [68,69], and the energy used in a brewhouse can be divided into two primary units, thermal energy, and electrical energy, each for 10.2-11.4 kWh/hl (hectoliter) SB (sales beer) and 0.84-2.3 kWh/hl SB in average [70,71], the targeted MES should focus on the management of the thermal energy in this use case. The wort kettle and the mash tun are the consumers of the thermal energy in the brewhouse, taking the share of 77.1% and 22.9% [70]. According to the data above, the consumption data of the brewery with a designed annual beer production volume of 200,000 hl are shown in Table 1.…”

Section: Analyzing the Demands And Actual Statementioning

confidence: 99%

Manufacturing Execution Systems for the Food and Beverage Industry: A Model-Driven Approach

2020

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Manufacturing Execution Systems (MES) are process-oriented information-technology (IT) solutions for collecting and managing information from manufacturing processes. Due to the individual programming effort and the complex integration with other manufacturing systems, though the food and beverage manufacturers can benefit from the MES, its implementation is not widespread in this industry. To simplify the implementation and engineering process, the concept of model-driven engineering (MDE) is considered as a solution. However, a feasible model-driven approach for MES engineering has not been established, not to mention for the food and beverage industry. This paper presents an approach for the automatic MES generation according to the MDE concept providing MES functions that are relevant to the food and beverage manufacturing processes primarily. It consists of necessary phases to cover the whole engineering process of the MES. Based on the application of the presented approach to the brewing process in a brewhouse, the feasibility and practicality of this approach were proven.

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“…With the help of a simulation, which is also mentioned as a tool for optimization in the course of the digital factory [9,10], the energy efficiency can be improved [11]. The simulation is primarily used for the holistic analysis of complex production systems and is suitable for uncovering the optimization potential without interrupting the ongoing production [12,13]. The beverage industry is challenged by the conflicting demands of high product quality and diversity and cost-effective production.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Energy and Media Demand of Beverage Bottling Plants by Automatic Model Generation

et al. 2021

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Facing environmental challenges, high energy costs and a growing public awareness, the global brewing industry is increasingly publishing ambitious targets toward a more sustainable production. Small and medium-sized enterprises of the brewing and beverage industry cannot ensure energy and media efficiency mainly due to capital and knowledge inadequacy. This article addresses this problem and presents a pragmatic method to determine the energy and media demand. Accordingly, a modeling editor as well as a standardized data structure and automatic simulation parameter determination tools were developed to implement the method. A given production plant can be modeled with adequate details using the presented editor. Based on a configuration file, a holistic simulation model can be generated automatically in a simulation environment. A beverage bottling plant was studied, and the necessary datasets were obtained for implementing the proposed editor and, thereby, the method. It was confirmed that the simulated values of electrical energy and compressed air consumption match the measured empirical data. The measures to increase energy and media efficiency were also found effective. Using the presented method, enterprises of the brewing and beverage industry can easily uncover avenues for potential savings, test the effectiveness of optimization strategies, and substantiate possible investment decisions.

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Analysis and Prediction Methods for Energy Efficiency and Media Demand in the Beverage Industry

Cited by 10 publications

References 68 publications

A metamodeling approach for the simulation of energy and media demand for the brewing industry

A metamodeling approach for the simulation of energy and media demand for the brewing industry

Manufacturing Execution Systems for the Food and Beverage Industry: A Model-Driven Approach

Simulation of Energy and Media Demand of Beverage Bottling Plants by Automatic Model Generation

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