Authors:
Georgios Lilis
;
Shubham Bansal
and
Maher Kayal
Affiliation:
École Polytechnique Fédérale de Lausanne, Switzerland
Keyword(s):
Building Management System, Feedback Systems, Energy Awareness, Energy Efficiency, Behavioral Change, Building Simulation.
Related
Ontology
Subjects/Areas/Topics:
Algorithms for Reduced Power, Energy and Heat
;
Energy and Economy
;
Energy Monitoring
;
Energy Profiling and Measurement
;
Energy-Aware Systems and Technologies
;
Optimization Techniques for Efficient Energy Consumption
;
Smart Grids
;
Smart Homes (Domotics)
;
Sustainable Computing and Communications
;
Virtualization for Reducing Power Consumption
Abstract:
A significant amount of energy in the buildings can be saved by inducing efficient occupant behavior. The
occupant’s awareness tools that have been shown to be effective in achieving energy efficiency gains depend
on various computational and estimation algorithms. This paper proposes an energy feedback scheme that
relies on a model based, building thermal simulation in order to identify the areas for efficiency improvement.
By leveraging the specific mathematical formulation of those models and a dedicated open-source solver,
improved computational speed, reduced cost and enhanced interoperability is obtained. This combined with
the integration into a building management system (BMS), permits real-time sensing and feedback. Unlike
similar studies, this work’s outcome allows the creation of the energy awareness tools that rely solely on
validated thermal model simulation, thus increasing their accuracy and potential in the future smart buildings.