Keeping a Factory in an Energy-optimal State

Wahren, Sylvia; Colangelo, Eduardo; Sauer, Alexander; Mandel, Jörg; Siegert, Jörg

doi:10.1016/j.procir.2016.01.053

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…In the same way as the process line, the plant level consists of arrangements of process lines and auxiliary devices that guarantee the operating conditions of both each process line and its working environment. Wahren et al [36] consider that most of the energy in a factory would be used for peripheral applications and processes in nonvalue added sectors. Therefore, regarding energy flows at this level, the existing relations among machines and the working environment should be analyzed.…”

Section: Plant Levelmentioning

confidence: 99%

Energy efficiency in discrete-manufacturing systems: Insights, trends, and control strategies

Diaz

Ocampo‐Martínez

2019

Journal of Manufacturing Systems

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Since the depletion of fossil energy sources, rising energy prices, and governmental regulation restrictions, the current manufacturing industry is shifting towards more efficient and sustainable systems. This transformation has promoted the identification of energy saving opportunities and the development of new technologies and strategies oriented to improve the energy efficiency of such systems. This paper outlines and discusses most of the research reported during the last decade regarding energy efficiency in manufacturing systems, the current technologies and strategies to improve that efficiency, identifying and remarking those related to the design of management/control strategies. Based on this fact, this paper aims to provide a review of strategies for reducing energy consumption and optimizing the use of resources within a plant into the context of discrete manufacturing. The review performed concerning the current context of manufacturing systems, control systems implemented, and their transformation towards Industry 4.0 might be useful in both the academic and industrial dimension to identify trends and critical points and suggest further research lines.

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Section: Plant Levelmentioning

confidence: 99%

Energy efficiency in discrete-manufacturing systems: Insights, trends, and control strategies

Diaz

Ocampo‐Martínez

2019

Journal of Manufacturing Systems

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“…The Control Production subactivity takes place when the production schedule is implemented to produce the part. The ECOMATION project is used for energy aware control [110]. This tool aims at (1) controlling energy consumption in the manufacturing process and the process peripherals and (2) increasing energy efficiency through automation.…”

Section: Studying Phases Of the Sima Reference Architecturementioning

confidence: 99%

“…This tool aims at (1) controlling energy consumption in the manufacturing process and the process peripherals and (2) increasing energy efficiency through automation. Wahren et al [110] utilized the ECOMATION tool for planning and control to keep the manufacturing system in an energy-optimal state. The tool has several steps to create an energy efficient schedule.…”

Section: Studying Phases Of the Sima Reference Architecturementioning

confidence: 99%

Analyzing environmental sustainability methods for use earlier in the product lifecycle

Brundage

Bernstein

Hoffenson

et al. 2018

Journal of Cleaner Production

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Environmental sustainability information in the manufacturing industry is not easily shared between stages in the product lifecycle. In particular, reliable manufacturing-related information for assessing the sustainability of a product is often unavailable at the design stage. Instead, designers rely on aggregated, often outdated information or make decisions by analogy (e.g., a similar manufacturing process for a similar product yielded X and Y results). However, smart manufacturing and the Internet of Things have potential to bridge the gap between design and manufacturing through data and knowledge sharing. This paper analyzes environmental sustainability assessment methods to enable more accurate decisions earlier in design. The techniques and methods are categorized based on the stage they apply to in the product lifecycle, as described by the Systems Integration of Manufacturing Applications (SIMA) reference architecture. Furthermore, opportunities for aligning standard data representation to promote sustainability assessment during design are identified.

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