A Smart Energy System for Sustainable Buildings: The Case of the Bernoulliborg

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Abstract

Today's buildings are responsible for more than 40% of the world's total energy consumption. Current systems that manage equipment in buildings fail to reduce unnecessary energy consumption while at the same time maintaining the comfort of those using the buildings. This is usually because the existing systems cannot cope with the changes caused by interactions between people and the building environment.

Furthermore, people using buildings are not sufficiently aware of how much buildings consume and of what concrete actions could help to reduce this consumption. Moreover, current building management systems do not take into account feedback from building users and their preferences regarding the conditions in their working environment.

We designed and implemented a smart energy system to overcome these gaps. Our system took into account the behavior of building users so as to provide automated control of energy consumption and other processes within an actual building. With this system we also provided user dashboards to serve as a means of communication between the building and its users. In addition to reducing energy consumption we also introduced related optimizations such as reduction of water consumption and improvement of waste management, using the same system principles.

We installed a prototype of this system in a modern university building, the Bernoulliborg, to show how such a system is realizable in actual working office space. This building served as the evaluation platform for our research. Our results show that the environmental savings achieved by the realized solutions range from 9.5% for PC sleep mode control to 80% for automated lighting systems control. Monetary savings indicate that payback time falls within a range of about 2 years for water consumption reduction to 7.8 years for automated lighting control. Finally, user acceptance evaluations show that the majority of participants find the system both highly acceptable and useful.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • University of Groningen
Supervisors/Advisors
  • Aiello, Marco, Supervisor
  • Lazovik, Alexander, Supervisor
Award date12-Feb-2016
Place of Publication[Groningen]
Publisher
Print ISBNs978-90-367-8429-0
Electronic ISBNs978-90-367-8430-6
Publication statusPublished - 2016

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