2011 9th IEEE International Conference on Industrial Informatics 2011
DOI: 10.1109/indin.2011.6034882
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Virtual reality-aided planning for energy-autonomous factories

Abstract: The consideration of energy-related parameters is already in the planning phase an important step towards an energy-autonomous factory. Using Virtual Reality (VR) gives planners an important basis for decision-making with regards to drafting the layout. This potential should also be used for incorporating energy-related parameters. This paper introduces the coupling of a 2D planning system with a VR environment as the basis for the development of an energy-sensitive planning system. A prerequisite for consider… Show more

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Cited by 5 publications
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“…Additionally, this occurs because with increasing the power rating of the supply converter its standby power losses increase as well and make up a larger percentage of the total energy consumption. The proposed analytical methodology can be considered as basis for optimal dimensioning of main supply converters during stage of production plant planning by application of virtual commissioning software as well since energy consumption parameters are planned to be brought into virtual production modelling software tools in near future [5], [8]- [11]. It is to be mentioned that also experimental data of existing process loads can be obtained and considered as basis for analysis in case if extension or modification of existing infrastructure is to be done.…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, this occurs because with increasing the power rating of the supply converter its standby power losses increase as well and make up a larger percentage of the total energy consumption. The proposed analytical methodology can be considered as basis for optimal dimensioning of main supply converters during stage of production plant planning by application of virtual commissioning software as well since energy consumption parameters are planned to be brought into virtual production modelling software tools in near future [5], [8]- [11]. It is to be mentioned that also experimental data of existing process loads can be obtained and considered as basis for analysis in case if extension or modification of existing infrastructure is to be done.…”
Section: Introductionmentioning
confidence: 99%