Vortrag Graduiertenkolloquium Huiwen Xu
Generic User Interface for Energy Management in Smart Homes
Currently, the global power grid is continuously being challenged to gradually undergo a transition from fossil-based energy sources to renewable energy sources. This transition poses a threat to the stability of the power grid. On the other hand, the reduction of energy consumption has be-come a global concern, with particular attention being paid to the saving of non-renewable natural resources and the cutting down on environmental disruption. By being equipped with a building operating system, a smart home, which has potential of providing demand flexibilities, can contrib-ute towards not only balancing the demand and supply in the grid but also increasing the energy efficiency.
The user interface of a building operating system in a smart home plays an essential role in realiz-ing demand response, since it helps to increase the residents' energy-awareness and facilitates load shifting by allowing residents to configure degrees of freedom for their appliances. This talk will present a generic user interface for building operating systems from aspects of design, imple-mentation and evaluation.
To ensure the user interface can be flexibly adapted to various types of buildings, a series of ge-neric data models is designed which are independent of any building operating system. Besides, we introduce three roles with different permissions and several functional components of the user interface. Based on this design, a prototype of such a generic user interface named Building Op-erating System User Interface (BOS UI) has been implemented to operate the Energy Smart Home Lab (ESHL) at the Karlsruhe Institute of Technology (KIT). Finally, we evaluate the design, functionality, and usability of the BOS UI. The detailed functions that have been implemented in the BOS UI as well as the evaluation results about the user interface will be presented in this talk.
Start: 27. Juni 2018 um 15:45
Ende: 27. Juni 2018 um 16:15
Im Gebäude 05.20, Raum: 1C-04
Veranstaltung vormerken: (iCal)
Veranstalter: Forschungsgruppe(n) Effiziente Algorithmen
Information: Media:Xu 27-06-2018.pdf