Conference Proceeding
Refine
Year of publication
Institute
- Fachbereich Elektrotechnik und Informationstechnik (228)
- Fachbereich Luft- und Raumfahrttechnik (177)
- Fachbereich Energietechnik (158)
- Fachbereich Medizintechnik und Technomathematik (135)
- IfB - Institut für Bioengineering (110)
- Solar-Institut Jülich (108)
- Fachbereich Maschinenbau und Mechatronik (98)
- Fachbereich Bauingenieurwesen (72)
- ECSM European Center for Sustainable Mobility (53)
- Fachbereich Wirtschaftswissenschaften (43)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (42)
- INB - Institut für Nano- und Biotechnologien (33)
- Fachbereich Chemie und Biotechnologie (24)
- Kommission für Forschung und Entwicklung (17)
- Nowum-Energy (11)
- Fachbereich Architektur (9)
- Fachbereich Gestaltung (3)
- Arbeitsstelle fuer Hochschuldidaktik und Studienberatung (2)
- Institut fuer Angewandte Polymerchemie (2)
- ZHQ - Bereich Hochschuldidaktik und Evaluation (2)
- Digitalisierung in Studium & Lehre (1)
- Freshman Institute (1)
- IaAM - Institut für angewandte Automation und Mechatronik (1)
- Kommission für Planung und Finanzen (1)
- Senat (1)
Has Fulltext
- no (1038) (remove)
Language
- English (1038) (remove)
Document Type
- Conference Proceeding (1038) (remove)
Keywords
- Enterprise Architecture (5)
- Energy storage (4)
- Gamification (4)
- Natural language processing (4)
- Power plants (4)
- hydrogen (4)
- solar sail (4)
- Associated liquids (3)
- Concentrated solar power (3)
- Hybrid energy system (3)
Existing residential buildings have an average lifetime of 100 years. Many of these buildings will exist for at least another 50 years. To increase the efficiency of these buildings while keeping costs at reasonable rates, they can be retrofitted with sensors that deliver information to central control units for heating, ventilation and electricity. This retrofitting process should happen with minimal intervention into existing infrastructure and requires new approaches for sensor design and data transmission. At FH Aachen University of Applied Sciences, students of different disciplines work together to learn how to design, build, deploy and operate such sensors. The presented teaching project already created a low power design for a combined CO2, temperature and humidity measurement device that can be easily integrated into most home automation systems
In times of planned obsolescence the demand for sustainability keeps growing. Ideally, a technical system is highly reliable, without failures and down times due to fast wear of single components. At the same time, maintenance should preferably be limited to pre-defined time intervals. Dispersion of load between multiple components can increase a system’s reliability and thus its availability inbetween maintenance points. However, this also results in higher investment costs and additional efforts due to higher complexity. Given a specific load profile and resulting wear of components, it is often unclear which system structure is the optimal one. Technical Operations Research (TOR) finds an optimal structure balancing availability and effort. We present our approach by designing a hydrostatic transmission system.
Energy-efficient components do not automatically lead to energy-efficient systems. Technical Operations Research (TOR) shifts the focus from the single component to the system as a whole and finds its optimal topology and operating strategy simultaneously. In previous works, we provided a preselected construction kit of suitable components for the algorithm. This approach may give rise to a combinatorial explosion if the preselection cannot be cut down to a reasonable number by human intuition. To reduce the number of discrete decisions, we integrate laws derived from similarity theory into the optimization model. Since the physical characteristics of a production series are similar, it can be described by affinity and scaling laws. Making use of these laws, our construction kit can be modeled more efficiently: Instead of a preselection of components, it now encompasses whole model ranges. This allows us to significantly increase the number of possible set-ups in our model. In this paper, we present how to embed this new formulation into a mixed-integer program and assess the run time via benchmarks. We present our approach on the example of a ventilation system design problem.
Digital twins enable the modeling and simulation of real-world entities (objects, processes or systems), resulting in improvements in the associated value chains. The emerging field of quantum computing holds tremendous promise forevolving this virtualization towards Quantum (Digital) Twins (QDT) and ultimately Quantum Twins (QT). The quantum (digital) twin concept is not a contradiction in terms - but instead describes a hybrid approach that can be implemented using the technologies available today by combining classicalcomputing and digital twin concepts with quantum processing. This paperpresents the status quo of research and practice on quantum (digital) twins. It alsodiscuses their potential to create competitive advantage through real-timesimulation of highly complex, interconnected entities that helps companies better
address changes in their environment and differentiate their products andservices.