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Benchmarking Building Energy Performance

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http://eber.ed.ornl.gov/benchmark/ August 7, 2003. Sarasota County ... http://estar3.energystar.gov/pls/portfolio/Pm_Main.Login. Available Now. Available Soon ... – PowerPoint PPT presentation

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Title: Benchmarking Building Energy Performance


1
Benchmarking Building Energy Performance
  • Ron Shelton/Terry Sharp
  • Oak Ridge National Lab
  • August 7, 2003

2
Value Of Benchmarking
  • Identify inefficient buildings
  • Identify high performers
  • Target buildings
  • Estimate energy cost savings potential
  • Track progress or degradation
  • Marketing
  • Establishing performance targets

3
Benchmarking Approaches
  • Averages
  • Medians
  • Simple Distributional Ranking
  • Normalized Distributional Ranking

4
Energy Use Intensity (EUI) Is A Common Way Of
Expressing Building Energy Use
Energy use intensity (EUI)
(building total energy use / gross square feet )
5
A Distribution (Histogram) Of Building EUIs Is
Skewed
6
In Skewed Distributions, Averages Exceed Medians
(Hospitals Example)
Median-404 (50)
Average-438 (59)
7
Choose Medians Over Averages And Distributional
Ranking Over Both
  • If you prefer one sample statistic, choose median
    value over an average
  • A better way is to rank your building relative to
    its location in the population

8
Distributional Ranking
50
75
25
Efficient
Inefficient
90
10
9
Arranging As A Decreasing Cumulative Distribution
Easily Gives Sample Rank
A hospital using 280 kBtu/sqft is efficient and
scores a 70.
o
A hospital using 600 kBtu/sqft is inefficient and
scores a 20.
o
10
ORNLs Benchmarking Website Has These
Distributions And A Tool For Generating Your Own
For
  • Office
  • Health care
  • Food service
  • Food sales
  • Skilled nursing
  • K-12 Schools
  • Public assembly
  • Educational
  • Lodging
  • Laboratory
  • Parking garage
  • Mercantile and service
  • Warehouse

http//eber.ed.ornl.gov/benchmark/
11
The Benchmarking Tool in Use Iowa
12
Other Important Drivers Can Strongly Influence
Energy Use And May Need Normalization
  • Offices operating hours, occupant density,
    number of computers
  • Schools year-round use, number of students,
    swimming pools, climate
  • Hospitals service type (acute / tertiary),
    number of beds, number of floors

13
EPAs Energy Star Portfolio Manager Provides
Advanced Benchmarking For
Available Now
Available Soon
  • Offices
  • Health care
  • Hotel/Motel
  • Supermarket/Grocery
  • K-12 Schools
  • Medical Office
  • Banks/Financial Centers
  • Courthouses
  • Dormitory

http//estar3.energystar.gov/pls/portfolio/Pm_Main
.Login
14
Summary
  • Beware averages
  • Simple ranking by EUI is a good approximation for
    comparisons (ORNLs tools can help)
  • Limited and simple data needed
  • Distributional scoring is excellent for portfolio
    management
  • benchmarking, target setting, targeting
    investments
  • tracking progress, degradation, or persistence
  • identifying poor or model performers, etc.
  • Ranking where important secondary drivers are
    accounted for is best (EPAs tools can help)
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