A methodology for customized prediction of energy consumption in manufacturing industries

Schmidt, Christopher; Li, Wen; Thiede, Sebastian; Kara, Sami; Herrmann, Christoph

doi:10.1007/s40684-015-0021-z

Cited by 54 publications

(18 citation statements)

References 18 publications

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“…Bornschlegl et al present an approach to increase energy efficiency through the use of cyber-physical systems (thereby supporting DSM): reducing the base load especially during unproductive periods in the production flow and selectively switching off temporarily unnecessary components to increase overall efficiency [38]. A complementary approach improving planning processes in energy management is presented in Schmidt et al with their methodology for the reliable prediction of energy consumption of arbitrary manufacturing processes based on measurements and existing knowledge [39].…”

Section: Sustainable Energymentioning

confidence: 99%

More Sustainability in Industry through Industrial Internet of Things?

2018

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Industrial production plays an important role for achieving a green economy and the sustainable development goals. Therefore, the nascent transformation of industrial production due to digitalization into a so-called Industrial Internet of Things (IIoT) is of great interest from a sustainable development point of view. This paper discusses how the environmental dimension of a sustainable development can potentially benefit from the IIoT-focusing especially on three topics: resource efficiency, sustainable energy and transparency. It presents a state of the art literature analysis of IIoT-enabled approaches addressing the three environmental topics. This analysis is compared with the findings of a survey among Chinese industrial companies, investigating the sustainability-related expectations of participants coming along with the implementation of IIoT solutions. China has been chosen as a case study because it brings together a strong industrial sector, ambitious plans regarding industrial digitalization and a high relevance and need for more sustainability. The survey was conducted with the means of a questionnaire which was distributed via email and used for direct on-site interviews. It focused on large and medium sized companies mainly from Liaoning Province and had a sample size of 109 participants.

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Section: Sustainable Energymentioning

confidence: 99%

More Sustainability in Industry through Industrial Internet of Things?

2018

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“…26 Schmidt et al present a methodology for the reliable prediction of energy consumption of arbitrary manufacturing processes based on measurements and existing knowledge. 27 A more general approach also aiming at energy efficiency in manufacturing is the methodology for planning and operating energy-efficient production systems. 28 Digitalized industrial processes can be steered with the help of Cyber Physical Energy Systems (CPES), allowing for their temporal flexibility.…”

mentioning

confidence: 99%

Sustainability aspects of a digitalized industry – A comparative study from China and Germany

Beier

Niehoff

Ziems

et al. 2017

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

194

115

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Industrial production is currently undergoing a fundamental transformation, leading towards a digitalized and interconnected industrial production, which is subsumed under the term Industrial Internet (of Things) or Industrie 4.0. This paper discusses the changes that digitalization is expected to bring about in the industrial sector by comparing a highly industrialized (Germany) with a major emerging industrial economy (China). We conducted two empirical surveys asking manufacturing companies from different sectors in Germany and China respectively, how they expect the digitalization of their processes will affect them. Both questionnaires addressed the future of work in production and the future of production itself. The main contribution of this paper is its empirical investigation of how the digitalization of industry is likely to affect sustainability aspects of manufacturing companies in two countries with very different industrial structures. Our findings suggest that this transformation will not only impact the ecological dimension (resource efficiency, renewable energy), but that the technical transformation is likely to be accompanied by social transformations.The findings of this paper will help decision-makers in the political sphere to anticipate and shape pathways towards a more sustainable future in the industrial sector.

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“…First, behavioral models are developed with discrete-event simulation, using Rockwell Arena. The use of discrete-event simulation is classical in this field, and many studies already dealt with this problem [10][11][12]. A custom library enabling to integrate energy consumption together with logistic activities was used [13].…”

Section: Models and Couplingmentioning

confidence: 99%

Energy-Aware Resources in Digital Twin: The Case of Injection Moulding Machines

Cardin

Castagna

Couedel

et al. 2019

Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future

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Many initiatives aim at describing the objectives and functionalities of the so-called digital twin of manufacturing systems. Considering the assets, the twin is meant to be able to both exhibit the actual and current states of the resources, and provide some estimates about the future behavior of these resources. To target the sustainability pillar of future industrial systems, the energy monitoring and management are critical issues. Consequently, the integration of multiphysics models helping to model the resources inside the twin is a major issue to deal with. This article intends to introduce a framework integrating the models inside the twin of the ARTI architecture, propose a methodology to implement the twin on a resource and illustrate these on a case study on injection molding machines.

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A methodology for customized prediction of energy consumption in manufacturing industries

Cited by 54 publications

References 18 publications

More Sustainability in Industry through Industrial Internet of Things?

More Sustainability in Industry through Industrial Internet of Things?

Sustainability aspects of a digitalized industry – A comparative study from China and Germany

Energy-Aware Resources in Digital Twin: The Case of Injection Moulding Machines

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