Improving user comfort and office energy efficiency with POEM (personal office energy monitor)

Authors:
Milan Milenkovic;Ulf Hanebutte;Yonghong Huang;David Prendergast;Han Pham
Affiliations:
Intel Corporation, Santa Clara, USA;Intel Corporation, DuPont, USA;Intel Corporation, Hillsboro, USA;Intel, Leixlip, Ireland;DesignSwinger Ltd., London, United Kingdom
Venue:
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Year:
2013

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Abstract

Consensus exists in much of industry and academia that engaging end-users is an essential element for improving energy efficiency in office buildings. We present our experiences implementing and deploying POEM (Personal Office Energy Monitor) with real office users. POEM is an end-user eco-feedback application. It provides detailed personalized data on energy usage and ambient conditions to each office user, as well as reporting aggregates for building-level management and policy setting. The POEM UI also allows users to state their subjective feeling of comfort. The system aggregates those inputs and informs the building manager to take corrective action if needed - thus closing the control loop between the people and the building. We report our findings from pilot tests of POEM prototype.