Burcin Becerik-Gerber Assistant Professor Civil and Environmental - - PowerPoint PPT Presentation

burcin becerik gerber assistant professor civil and
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Burcin Becerik-Gerber Assistant Professor Civil and Environmental - - PowerPoint PPT Presentation

Burcin Becerik-Gerber Assistant Professor Civil and Environmental Engineering University of Southern California becerik@usc.edu http://i-lab.usc.edu 1 Building Energy Consump4on Source: Buildings Data Book, DOE,


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Burcin Becerik-Gerber Assistant Professor Civil and Environmental Engineering University of Southern California becerik@usc.edu http://i-lab.usc.edu

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Building Energy Consump4on

Source: Buildings Data Book, DOE, h?p://buildingsdatabook.eren.doe.gov/ChapterIntro1.aspx

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Energy Consump4on in the U.S.

Residen4al Energy Use Commercial Energy Use

Source: Energy Data Book (2007); EERE, U.S. Department of Energy

Roughly 87% of today’s buildings will s4ll be used in 2050, composing an es4mated 70% of the building stock

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Energy Opera4ons

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Comfort Es4ma4on

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Energy Efficiency

Understand discrepancies between actual measured vs. perceived subjec4ve values Develop a database of occupant percep4ons for trending and improvements to energy opera4ons (hea4ng/cooling, ven4la4on, building design) Develop op4miza4on algorithms for “learning” and “adap4ve” energy control Understand impact of occupant sa4sfac4on with performance, produc4vity, mood BUILDING SYSTEM DESIGN BUILDING DESIGN BUILDING OPERATIONS BUILDING PERFORMANCE

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Par4cipatory Data Sensing

Mobile triangula4on brings up a list of three nearest buildings

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8 Occupant Profile Occupant Preferences Supplementary Data for Energy Analysis

Par4cipatory Sensing

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Mobile Apps

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Mobile Apps

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Jazizadeh F, Kavulya G, Klein L, Becerik‐Gerber B. (2011) “Con4nuous Sensing of Occupant Sa4sfac4on with Indoor Ambient Factors”, ASCE Workshop of Compu0ng in Civil Engineering, June 19‐22, 2011, Miami, FL

  • Ten days ‐ eight rooms
  • ~ 65% of occupant percep4ons of

temperature differed from the neutral condi4on

  • Could be due to the malfunc4oning

sensors or mismatch between comfort ranges /set points

Comfort Es4ma4on

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  • 50 permanent residents (staff/

faculty/grad students) and more than 2000 temporary residents

  • 64‐wired sensors
  • 500+ WiFi‐based wireless sensors

(temperature, humidity, light, CO2, sound, magne4c, and mo4on sensors) deployed in 60 moveable sensor boxes and 100+ actuators

  • 10 sub‐meters (sub‐floor, floor and

building level for measuring energy consump4on of ligh4ng, receptacles, HVAC, elevator, and emergency power)

Building Level Energy Management System

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13 Broad Cultural Ship – Social Influence Building Energy Management Visualiza4on Energy Awareness Public Awareness About Energy

Energy Literacy

Input Personal energy choices vs. global well‐ being?

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Data Visualiza4on

Cold

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Data Visualiza4on

Cold Hot Neutral Cool Warm

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Energy Networking User Forum

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Energy Networking User Forum

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Energy Networking User Forum

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Occupant Feedback

  • Focus on the contribu4on of building occupants in

energy reduc4on

  • Occupants are asked to reduce ligh4ng level during the

day without compromising visual comfort

  • Assess the influence informa4on on occupants’

behavior towards energy conserva4on:

– Reminding to reduce ligh4ng w/o any suppor4ng informa4on – Energy consump4on w/Environmental informa4on are provided to encourage ligh4ng level adjustment – Peers/colleagues ‘ tendency to reduce ligh4ng level is revealed to all occupants to use social influence for energy consump4on reduc4on

Changes in occupants behavior towards energy conserva4on is monitored by wireless light sensors which are used to measure the electricity consump4on indirectly

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  • Areal‐world test scenario; a pilot sample of par4cipants (staff on campus)
  • To inves4gate the impact of different types of informa4on for changing occupant behavior

Test Group I: no addi4onal informa4on, simply ask to reduce the level of ligh4ng Test Group II: informa4on including par4cipant’s own energy use, rate, and environmental mo4ves “By reducing (dimming) the ligh0ng level in your office, you can reduce the total building energy consump0on. If you agree, the annual energy savings at the building level are 26000 kWh on average, which is equivalent to the reduc0on of CO2 emissions of 2.2 homes for one year and greenhouse gas emissions avoided by recycling 6.2 tons of waste.”

Occupant Feedback

Jazizadeh F, Kavulya G, Kwak J, Becerik‐Gerber B, (2012) “Human‐Building Interac4on for Energy Conserva4on in Office Buildings”, CRC 2012: Construc0on Research Congress, May 21‐23, 2011, West Lafaye?e, IN

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Occupant Feedback

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Energy Conserva4on

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Farrokh Jazizadeh Geoffrey Kavulya Nan Li Zheng Yang Award number: DE‐EE0004019

Students & Collaborators & Sponsors

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Thank you!