Deployment and management of environmental infrastructures, such as charging infrastructure for Electric Vehicles (EV), is a challenging task. For policy makers, it is particularly difficult to estimate the capacity of current deployed public charging infrastructure for a given EV user population. While data analysis of charging data has shown added value for monitoring EV systems, it is not valid to linearly extrapolate charging infrastructure performance when increasing population size.We developed a data-driven agent-based model that can explore future scenarios to identify non-trivial dynamics that may be caused by EV user interaction, such as competition or collaboration, and that may affect performance metrics. We validated the model by comparing EV user activity patterns in time and space.We performed stress tests on the 4 largest cities the Netherlands to explore the capacity of the existing charging network. Our results demonstrate that (i) a non-linear relation exists between system utilization and inconvenience even at the base case; (ii) from 2.5x current population, the occupancy of non-habitual charging increases at the expense of habitual users, leading to an expected decline of occupancy for habitual users; and (iii) from a ratio of 0.6 non-habitual users to habitual users competition effects intensify. For the infrastructure to which the stress test is applied, a ratio of approximately 0.6 may indicate a maximum allowed ratio that balances performance with inconvenience. For policy makers, this implies that when they see diminishing marginal performance of KPIs in their monitoring reports, they should be aware of potential exponential increase of inconvenience for EV users.
In summary we want to discuss:1) Courses and training in the field of nursing (General); elderly care, dementia and physical therapy.2) sending Chinese students to Groningen, Deventer3) training in the use of home automation and application of the technology in care homes, or in residential communities for seniors4) international cooperation, we strive for crossovers between schools and research centers, Hanze & Saxion and the possibility of organizing applied research at the Chinese organizations has been agreed. We now also have a Dutch healthcare organization that can serve as a model, and where we will also conduct research. (Tangenborgh from Emmen)There is a huge spread in the projects in which Heinrich, Jan and Jan Willem collaborate. Subjects range from studying domotica in the process of dementia in elderly care, to the transition from a collectivist society to a more individual society, both within the realm of social scientific research. Moreover, physical, biological and economical processes of change - for instance sampled by sensors- may also form the heart of the applied scientific interest of the team. The common thread is formed by the dynamic system description of the change processes over time. These are sometimes (within certain limits) linear, but much more often there is complex non-linear coherence, which, however, runs according to patterns (and therefore contains systematic components). Emergent properties, instead of determined linear chains. Modern data analysis techniques and insight into system thinking form the core. We work with beta talents, including IT specialists trained at ItVitae, in the Beta lab of Marcel Hurkens.
MULTIFILE
In everyday life, non-linear causal relationships can be investigated excellently and that is precisely why applied science appeals to me. Practice is leading in applied science. In the context of psychopathology, this means that we do not only look at general knowledge that can be derived from a large number of people with a certain mental condition (disorder). The emphasis is mainly on people who, despite a certain diagnosis, do not (or no longer) experience the problems that most people with such a diagnosis encounter.
MULTIFILE
