Simulation Approach Towards Energy Flexible Manufacturing Systems

Beier, Jan

doi:10.1007/978-3-319-46639-2

Cited by 26 publications

(14 citation statements)

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“…This procedure has the superordinate objective of realizing an event-discrete simulation. The background to this is that many factory simulations are implemented as such event-discrete simulations [44][45][46][47]. The software tool Matlab/Simulink is used here.…”

Section: State Flow Graphsmentioning

confidence: 99%

Modeling the electrical power and energy consumption of automated guided vehicles to improve the energy efficiency of production systems

Meißner

Massalski

2020

Int J Adv Manuf Technol

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Due to the advancing energy system transformation and the increasingly complex and dynamic environment in which factories have to operate, the energy efficiency and flexible design of production systems are becoming more important. Since the use of automated guided vehicles is a promising approach to enhance the flexibility of intralogistics, their electrical power requirements are analyzed. Based on the measurement data obtained, different movement modules of an automated guided vehicle are identified and then modeled using physical laws. These movement modules are the translatory movement, rotary movement, and the lifting and lowering of the load-carrying platform. The measurement data show, for example, that the energy requirement for translational and rotational movement increases in relation to the payload weight. At the same time, however, it is also shown that an increase in speed of the automated guided vehicle leads to a lower energy requirement, although the power requirement grows. Consequently, one result is that an automated guided vehicle works most efficiently when the maximum payload is transported at the highest speed. With regard to the lifting and lowering of loads, the result is an increasing energy requirement depending on the payload weight. The comparison between the collected measurement data and the outcomes of the implemented simulation model shows only minor deviations. Thus, the implemented simulation model of automated guided vehicles can be used with regard to their electrical power consumption, for example, in production planning to comprehensively raise the energy efficiency of production systems.

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Section: State Flow Graphsmentioning

confidence: 99%

Modeling the electrical power and energy consumption of automated guided vehicles to improve the energy efficiency of production systems

Meißner

Massalski

2020

Int J Adv Manuf Technol

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“…A manufacturing system model is required to determine time-dependent energy and material flows for further environmental impact assessment. Based on the manufacturing system presented in [43,46], a unidirectional process flow structure with intermediate buffers is applied (Fig. 5).…”

Section: Manufacturing System Modelmentioning

confidence: 99%

Combining Life Cycle Assessment and Manufacturing System Simulation: Evaluating Dynamic Impacts from Renewable Energy Supply on Product-Specific Environmental Footprints

Rödger

Beier

Schönemann

et al. 2020

Int. J. of Precis. Eng. and Manuf.-Green Tech.

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The eco-efficiency of actual production processes is still one dominating research area in engineering. However, neglecting the environmental impacts of production equipment, technical building services and energy supply might lead to suboptimization or burden-shifting and thus reduced effectiveness. As an established method used in sustainability management, Life Cycle Assessment aims at calculating the environmental impacts from all life cycle stages of a product or system. In order to cope with shortcomings of the static character of life cycle models and data gaps this approach combines Life Cycle Assessment with manufacturing system simulation. Therefore, the two life cycles of product and production system are merged to assess environmental sustainability on product level. Manufacturing simulation covers the production system and Life Cycle Assessment is needed to relate the results to the final product. This combined approach highlights the influences from dynamic effects in manufacturing systems on resulting life cycle impact from both product and production system. Furthermore, the importance of considering indirect peripheral equipment and its effects on the manufacturing system operation in terms of output and energy demands is underlined. The environmental flows are converted into impacts for the five recommended environmental impact categories. Thus, it can be demonstrate that Life Cycle Assessment can enhance the process simulation and help identify hot-spots along the life cycle. The combined methodology is applied for analysing a case study in fourteen scenarios for the integration of volatile energy sources into energy flexible manufacturing control.

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“…Renewable energy sources are characterised through a volatile power generation. This volatility, and thus reduced predictability compared to conventional power generation, leads to new opportunities for savings through electricity procurement or demand response applications in the industry [6].…”

Section: Introductionmentioning

confidence: 99%

A Systematic Review on Predicting and Forecasting the Electrical Energy Consumption in the Manufacturing Industry

Walther

Weigold

2021

Energies

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In the context of the European Green Deal, the manufacturing industry faces environmental challenges due to its high demand for electrical energy. Thus, measures for improving the energy efficiency or flexibility are applied to address this problem in the manufacturing industry. In order to quantify energy efficiency or flexibility potentials, it is often necessary to predict or forecast the energy consumption. This paper presents a systematic review of state-of-the-art of existing approaches to predict or forecast the energy consumption in the manufacturing industry. Seventy-two articles are classified according to the defined categories System Boundary, Modelling Technique, Modelling Focus, Modelling Horizon, Modelling Perspective, Modelling Purpose and Model Output. Based on the reviewed articles future research activities are derived.

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Simulation Approach Towards Energy Flexible Manufacturing Systems

Cited by 26 publications

References 0 publications

Modeling the electrical power and energy consumption of automated guided vehicles to improve the energy efficiency of production systems

Modeling the electrical power and energy consumption of automated guided vehicles to improve the energy efficiency of production systems

Combining Life Cycle Assessment and Manufacturing System Simulation: Evaluating Dynamic Impacts from Renewable Energy Supply on Product-Specific Environmental Footprints

A Systematic Review on Predicting and Forecasting the Electrical Energy Consumption in the Manufacturing Industry

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