Networked priced timed automata for energy-efficient factory automation

Mechs, Sebastian; Müller, Jörg P.; Lamparter, Steffen; Peschke, J.

doi:10.1109/acc.2012.6315349

Cited by 17 publications

(11 citation statements)

References 8 publications

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“…(1) where s is a machine state, S is the set of machine states, t is a time period during which the machine stays at the state s, Ts is the set of periods during which the machine stays at the state s, and Ps is the mean power consumption of the state s. This complies with the energy modeling approach of Mechs et al (2012). This general mapping enables a quick denotation of the fundamental energetic performance.…”

Section: Figure 1 Industrial Energy Model At Machine Layermentioning

confidence: 97%

A generic method for energy-efficient and energy-cost-effective production at the unit process level

Gong

Pessemier

Joseph

et al. 2016

Journal of Cleaner Production

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Generally, industry includes various sectors like manufacturing, energy, materials & mining, and transportation. Industry consumes about one half of the world's total delivered energy, and manufacturing is one of the energyintensive industrial sectors. With the rising energy price, the energy cost is becoming a controllable expenditure in manufacturing. In this paper, a generic method has been proposed to minimize the energy cost and improve the energy efficiency of manufacturing unit processes. Finite state machines have been used to build the transitional state-based energy model of a single machine. A mixed-integer linear programming mathematical model has been formulated for energy-cost-aware job order scheduling on a single machine. A generic algorithm has been implemented to search for an energy-cost-effective schedule at volatile energy prices with the constraint of due dates. As a result, plant managers can have an energy-cost-effective job order schedule which is associated with machine energy states along time, and can also get time-indexed energy simulation of the schedule. In comparison to most of the static scheduling approaches, stochasticity has been further handled through a cyclic interaction between the scheduler and the energy model, which facilitates to investigate how stochasticity on a shop floor affects the performance of energy-cost-aware scheduling. Empirical data have been used in the case study, including the power measured from a grinding machine, and the real-time pricing and time-of-use pricing tariffs. The proposed method has been demonstrated to be both energy-efficient and energy-cost-efficient even at the presence of stochasticity. As a joint effort of energy efficiency and demand response within demand side management, this method shows its effectiveness for contributing to the reduction of greenhouse gas emissions during peak periods, and for leading to energy-efficient, demand-responsive, and cost-effective manufacturing processes.

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Section: Figure 1 Industrial Energy Model At Machine Layermentioning

confidence: 97%

A generic method for energy-efficient and energy-cost-effective production at the unit process level

Gong

Pessemier

Joseph

et al. 2016

Journal of Cleaner Production

View full text Add to dashboard Cite

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Section: Motivationmentioning

confidence: 97%

“…Recently, the authors of [2], [3] investigated the problem of energy efficiency improvement by switching systems during the production to energy efficient modes in which less energy power input is required. Abstracted models based on the theory of timed automata are used to model the interacting subsystems.…”

Section: Energy Management In Manufacturingmentioning

confidence: 99%

“…Energy efficiency according to ISO 50001:2011 is regarded as a: "ratio or other qualitative relationship between an output of performance, service, goods or energy and an input of energy" [18]. One of the ways to achieve energy efficiency in manufacturing plants is to switch the system during the production into energy efficient modes that require less input power [2], [3]. In order to achieve energy efficiency in this direction, there is a need of abstracts models that display temporal and energetic behaviors while respecting all process-related dependencies [2].…”

Section: Energy Management At Runtimementioning

confidence: 99%

“…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.…”

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confidence: 99%

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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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