Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences

COLLEGE OF ENGINEERING

UC Berkeley

A High-Fidelity Energy Monitoring and Feedback Architecture for Reducing Electrical Consumption in Buildings

Xiaofan Fred Jiang

EECS Department
University of California, Berkeley
Technical Report No. UCB/EECS-2010-125
September 20, 2010

http://www.eecs.berkeley.edu/Pubs/TechRpts/2010/EECS-2010-125.pdf

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 represen- tation, 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, pro- vide 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 visual- ization and feedback to the occupants. Finally, we evaluate the proposed architecture and process flow with a diverse class of building applications, visualizations, and deployments.

Advisor: David E. Culler and Scott Shenker


BibTeX citation:

@phdthesis{Jiang:EECS-2010-125,
    Author = {Jiang, Xiaofan Fred},
    Title = {A High-Fidelity Energy Monitoring and Feedback Architecture for Reducing Electrical Consumption in Buildings},
    School = {EECS Department, University of California, Berkeley},
    Year = {2010},
    Month = {Sep},
    URL = {http://www.eecs.berkeley.edu/Pubs/TechRpts/2010/EECS-2010-125.html},
    Number = {UCB/EECS-2010-125},
    Abstract = {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 represen- tation, 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, pro- vide 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 visual- ization and feedback to the occupants.

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

EndNote citation:

%0 Thesis
%A Jiang, Xiaofan Fred
%T A High-Fidelity Energy Monitoring and Feedback Architecture for Reducing Electrical Consumption in Buildings
%I EECS Department, University of California, Berkeley
%D 2010
%8 September 20
%@ UCB/EECS-2010-125
%U http://www.eecs.berkeley.edu/Pubs/TechRpts/2010/EECS-2010-125.html
%F Jiang:EECS-2010-125