Energy efficiency driven process analysis and optimization in discrete manufacturing

Cannata, Alessandro; Karnouskos, Stamatis; Taisch, Marco

doi:10.1109/iecon.2009.5414889

Cited by 39 publications

(23 citation statements)

References 9 publications

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“…SOA could help eliminate this constraint as it supports seamless re-engineering of business processes as well as production line reconfiguration, enabling two-way optimization [7].…”

Section: A Implementation Of Energy Management Systemsmentioning

confidence: 99%

Ecosystem oriented energy management: An implementation

Florea

Postelnicu

Zhang

et al. 2012

2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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Although traditionally seen as separate entities, factory and building automation systems are interdependent. Approaching the management of energy consumption in such settings in a holistic manner would lead to significant benefits in terms of performance. This paper presents an implementation of an ecosystem oriented energy management solution that considers both machines directly implicated in the production process, and the built environment the equipment resides in. The solution proposed is an embedded service oriented monitoring application applied to a real multirobot production testbed residing in a built environment similar to the situation in a real factory.

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“…SOA could help eliminate this constraint as it supports seamless re-engineering of business processes as well as production line reconfiguration, enabling two-way optimization [7].…”

Section: A Implementation Of Energy Management Systemsmentioning

confidence: 99%

Ecosystem oriented energy management: An implementation

Florea

Postelnicu

Zhang

et al. 2012

2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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“…Cannata et al [5] discuss a machine centric approach to energy awareness and optimization, and define an applicable procedure for the evaluation /management /control of the operation phase of production systems, based on Life Cycle Analysis concepts.…”

Section: IImentioning

confidence: 99%

Remote energy monitoring unit design and implementation

Zhang

Popescu

Lobov

et al. 2011

IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society

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This paper presents the design and implementation of a remote energy monitoring unit for production systems. The unit is capable of monitoring and visualizing total energy cost, the energy cost per production operation and the energy consumption associated to the processing of a specific product. Thus the next step for the energy consumption optimization can be performed by knowing consumption of specific operations. The unit is mobile and can be reallocated and integrated with different production systems providing web-service interfaces for remote monitoring. FESTO MPS production line is used in this paper for demonstration purposes. The paper shows how the user can obtain the information on energy consumption and describes a set of KPIs for energy monitoring.

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“…Cannata et al present a procedure which supports the analysis, management, and control of discrete manufacturing systems in terms of energy efficiency and/or environmental impact in the context of Information and Communication Technologies (ICT); these technologies can help to achieve better awareness on the real carbon footprint of the industry and manage it in a more effective way [14].…”

Section: Energy Management In Manufacturingmentioning

confidence: 99%

Energy engineering in the virtual factory

Stoffels¹,

Boussahel²,

Vielhaber

et al. 2013

2013 IEEE 18th Conference on Emerging Technologies &Amp; Factory Automation (ETFA)

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Energy engineering is an emerging topic in manufacturing plants due to environmental and economic reasons. It is not enough to save energy during the utilization of products, but the production should be considered as well. Moreover, idle times during production should be taken into account by switching the systems and the subsystems into modes that require less energy inputs. Furthermore energy related properties should be considered as early-aspossible in the plant process development, because in this phase the influence on the later energy consumption is considerable. Hence, methods for energy optimization in production are combined with virtual plant engineering to consider energy aspects as early as possible in plant design. Both engineering domains contribute to an integrated process for energy engineering in the virtual factory. MotivationBecause of rising energy prices and a rising awareness for our environment, energy consumption gets more and more attention. According to [1], the potential of energy savings with current technologies are up to 30 percent in the industry.In order to reduce the energy demand of production systems and plants, an energy optimization during production can be performed. There are different modes a robot can operate in, for example. In this way, the energy efficiency and energy savings can be achieved by switching manufacturing systems during production time into operating modes that are energy efficient (standby modes, sleep modes, off modes, etc.)[2], [3].For further energy savings, it is necessary to consider energy relevant properties (e.g. power, accelerated masses, …) of the different components already in the plant development process. At the early phases of the development, important attributes for the later energy consumption are being determined, but energy aspects are often not in focus.In this paper, a method that considers energy relevant aspects in the plant development process as early as possible will be developed. To achieve this, both approaches are to be combined to integrated energy engineering. Energy relevant data can be derived from the virtual plant engineering and used for abstract models in the energy optimization in production. The results of the optimization can be applied for the design of the virtual plant engineering. Figure 1 shows the integration of the two fields. Figure 1. Structure of the energy engineering 978-1-4799-0864-6/13/$31.00 ©2013 IEEE

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Energy efficiency driven process analysis and optimization in discrete manufacturing

Cited by 39 publications

References 9 publications

Ecosystem oriented energy management: An implementation

Ecosystem oriented energy management: An implementation

Remote energy monitoring unit design and implementation

Energy engineering in the virtual factory

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