Abstract/Details

A high-fidelity energy monitoring and feedback architecture for reducing electrical consumption in buildings


2010 2010

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Abstract (summary)

Existing solutions in commercial building energy monitoring are insufficient in identifying energy waste or for guiding improvement. This is because they only provide usage statistics in aggregate, both spatially and temporally. To significantly and sustainably reduce energy usage in buildings, we need an architecture and a system implementation that provide high-fidelity real-time visibility into each component of the building.

We propose a three-tiered architecture consisting of sensing, data delivery and representation, and applications and services . We show that this layering allows us to cleanly abstract the low-level details of the myriads of disparate monitoring instruments and protocols, provide an uniform data representation interface, and enable innovation in portable building applications. This thesis further explores each layer in detail and present design decisions and findings.

Building on top of this architecture, we propose an application process flow for energy data analysis and visualization, substantiated by a real deployment. This process consists of three parts: first, to understand and instrument the load tree; second, to conduct data analysis, modeling, and disaggregation of energy usage statistics; and third, combined with meta-data, to re-aggregate individual load usages into actionable representations for visualization and feedback to the occupants.

Finally, we evaluate the proposed architecture and process flow with a diverse class of building applications, visualizations, and deployments.

Indexing (details)


Subject
Architectural;
Electrical engineering;
Energy;
Computer science
Classification
0462: Architectural
0544: Electrical engineering
0791: Energy
0984: Computer science
Identifier / keyword
Applied sciences; Architecture; Buildings; Electrical consumption; Energy monitoring; Power; Sensor networks; Wireless
Title
A high-fidelity energy monitoring and feedback architecture for reducing electrical consumption in buildings
Author
Jiang, Xiaofan
Number of pages
124
Publication year
2010
Degree date
2010
School code
0028
Source
DAI-B 72/06, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
9781124553696
Advisor
Culler, David E.
Committee member
Auslander, David M.; Katz, Randy H.; Sanders, Seth R.
University/institution
University of California, Berkeley
Department
Computer Science
University location
United States -- California
Degree
Ph.D.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
3448992
ProQuest document ID
861337003
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/861337003
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