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The chemical industry is one of the most important industrial sectors in Germany in terms of manufacturing revenue. While thermodynamic boundary conditions often restrict the scope for reducing the energy consumption of core processes, secondary processes such as cooling offer scope for energy optimisation. In this contribution, we therefore model and optimise an existing cooling system. The technical boundary conditions of the model are provided by the operators, the German chemical company BASF SE. In order to systematically evaluate different degrees of freedom in topology and operation, we formulate and solve a Mixed-Integer Nonlinear Program (MINLP), and compare our optimisation results with the existing system.
Globale Betrachtung regenerativer Energieressourcen und deren technische Nutzungsmöglichkeiten
(1992)
Biomasse-Potential
(1985)
PV-transmitter and receiver
(1992)
Die Arbeitsgemeinschaft Solar Nordrhein-Westfalen, Schwerpunkt B: Dezentrale Energietechnologien
(1992)
Hands-on-training in high technology areas is usually limited due to the high cost for lab infrastructure and equipment. One specific example is the field of MEMS, where investment and upkeep of clean rooms with microtechnology equipment is either financed by production or R&D projects greatly reducing the availability for education purposes. For efficient hands-on-courses a MEMS training foundry, currently used jointly by six higher education institutions, was established at FH Kaiserslautern. In a typical one week course, students manufacture a micromachined pressure sensor including all lithography, thin film and packaging steps. This compact and yet complete program is only possible because participants learn to use the different complex machines in advance via a Virtual Training Lab (VTL). In this paper we present the concept of the MEMS training foundry and the VTL preparation together with results from a scientific evaluation of the VTL over the last three years.
Eine neue Generation von Praktika an Hochschulen wächst heran. Moderne Wege beim Verstehen und Erlernen naturwissenschaftlicher Zusammenhänge sowie industrieller Fertigungsprozesse sind gefordert. Das Technologiepraktikum „Virtuelle Sensor- Fertigung“, entwickelt im Verbundprojekt INGMEDIA an den Fachhochschulen Aachen und Zweibrücken, trägt als neuartiges Lern- und Lehrmodul dieser Forderung Rechnung. Die Studierenden lernen einen vollständigen Fertigungsprozess mit Hilfe von virtuellen, in LabVIEW programmierten Maschinen kennen, bevor sie die reale Prozesskette im Reinraum durchführen.
Das Technologiepraktikum „Virtuelle Sensor-Fertigung“ ist ein Beispiel für die medientechnische Aufbereitung von Lern- und Lehrmaterial unter didaktischen Gesichtspunkten. Studierende lernen einen Fertigungsprozess mit Hilfe von virtuellen Maschinen kennen, bevor sie die reale Prozesskette im Laborpraktikum im Reinraum durchführen.
The future of industrial manufacturing and production will increasingly manifest in the form of cyber-physical production systems. Here, Digital Shadows will act as mediators between the physical and digital world to model and operationalize the interactions and relationships between different entities in production systems. Until now, the associated concepts have been primarily pursued and implemented from a technocentric perspective, in which human actors play a subordinate role, if they are considered at all. This paper outlines an anthropocentric approach that explicitly considers the characteristics, behavior, and traits and states of human actors in socio-technical production systems. For this purpose, we discuss the potentials and the expected challenges and threats of creating and using Human Digital Shadows in production.
Digital Shadows as the aggregation, linkage and abstraction of data relating to physical objects are a central vision for the future of production. However, the majority of current research takes a technocentric approach, in which the human actors in production play a minor role. Here, the authors present an alternative anthropocentric perspective that highlights the potential and main challenges of extending the concept of Digital Shadows to humans. Following future research methodology, three prospections that illustrate use cases for Human Digital Shadows across organizational and hierarchical levels are developed: human-robot collaboration for manual work, decision support and work organization, as well as human resource management. Potentials and challenges are identified using separate SWOT analyses for the three prospections and common themes are emphasized in a concluding discussion.