International Conference of Design, User Experience, and Usability

DUXU 2014: Design, User Experience, and Usability. User Experience Design for Everyday Life Applications and Services pp 605-615 | Cite as

The Design and Evaluation of Intelligent Energy Dashboard for Sustainability in the Workplace

  • Ray Yun
  • Azizan Aziz
  • Bertrand Lasternas
  • Chenlu Zhang
  • Vivian Loftness
  • Peter Scupelli
  • Yunjeong Mo
  • Jie Zhao
  • Nana Wilberforce
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8519)

Abstract

Office workers typically don’t know how much energy they consume at work. Since the workers don’t pay the energy bills, they tend to waste energy. To support energy conservation and motivate workers, the Intelligent Dashboard for Occupants (ID-O) was developed using multiple intervention strategies – eco-feedback (self-monitoring, advice, and comparison), remote controls, and automated controls. The baseline data was collected for fourteen weeks from eighty office workers and ID-Os with different features were deployed for seven weeks. The results show that the group with all the features (eco-feedback, remote controls, automated controls) made the biggest energy savings at 35.4%, the group that had eco-feedback and the remote controls showed 20.2% energy savings, the feedback only group achieved 9% energy savings, and the last group (the control group) produced 3.6% energy savings. The automated control feature produced the biggest energy savings, and was most effective in energy management for lights and phones, but not for computers and monitors.

Keywords

energy dashboard sustainability workplace behavior change ecofeedback remote and automated control plug load management organization 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ray Yun
    • 1
  • Azizan Aziz
    • 2
  • Bertrand Lasternas
    • 2
  • Chenlu Zhang
    • 2
  • Vivian Loftness
    • 2
  • Peter Scupelli
    • 3
  • Yunjeong Mo
    • 2
  • Jie Zhao
    • 2
  • Nana Wilberforce
    • 4
  1. 1.Computational Design, School of ArchitectureCarnegie Mellon UniversityPittsburghUnited States
  2. 2.Building Performance and Diagnostics, School of ArchitectureCarnegie Mellon UniversityPittsburghUnited States
  3. 3.School of DesignCarnegie Mellon UniversityPittsburghUnited States
  4. 4.Realty Services, PNC BankPittsburghUnited States

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