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Big Data & Effective Utility Programs
Edward Connelly President , New Ecology, Inc.
Founder, Wegowise , Inc. Boston, MA
results from large scale use of benchmarking in affordable housing
Who Are New Ecology and Wegowise?
New Ecology is a non-profit organization whose mission is to catalyze sustainable development in low income and underserved communities. We work in the following areas:
•New construction
•Moderate Rehab
•Energy Efficiency
•Efficiency R&D
•Consulting
•Outreach and Education
•Data Analysis
Our Impact
Pioneered or Advanced: • Cost Benefit Analysis of Green Affordable Housing • Portfolio Approach to Greening and Energy Management • Integrated Design Process • LEED and Green Communities Certifications for Affordable Projects • Green Charrettes • Large Scale Benchmarking • Data Analysis of Multifamily Performance and Application • Asset Manager Training • Controls Analysis • Low Cost Remote Monitoring • Advanced HVAC Design
Lectured, Presented, Facilitated Charrettes or Trained in 25 States, Canada and Turkey
Who Are New Ecology and Wegowise?
•Energy Data Company
•Founded by NEI, Boston Community Capital and CTO to solve the data problem in multifamily affordable housing
•Largest database of its kind
As of August 19, 2013 Tracking:
252,338units
15,828buildings
360,000,000Square feet
What Does Wegowise Do?
Building Info Raw Utility Data
Key Features of Wegowise Automatically tracks a building’s Water, Electricity, Gas, and Oil
consumptions and costs Links these usages to the building’s construction and system characteristics Normalizes comparisons within your portfolio or against benchmarks Comprehensive analytics from portfolio down to meter level Tracks a building’s upgrades to verify saving Shares information among professional and personal networks Exports data and Portfolio Manager integration No hardware required in the buildings
Basic Wegowise View
Programs Using Data
LEAN Benchmarking Inventory Benchmarking 75% of multifamily affordable housing in MA (10,147 buildings) over a three-year period. Ends June 2013.
Utility Companies receive spreadsheets with 839 new benchmarks each month, and an annual report with usage medians specific to MA-affordable housing
Participating property owners receive a free year of a WegoPro Account
LEAN Funding Program Grant-based funding for cost-effective measures.
Applicant puts building into WegoWise. The building’s heating energy score is shared with the program administrator. Scores: • Above 10 BTU/HDD/Cond. SqFt automatically qualify for an energy audit
• Ranging from 7 – 9 are handled on a case-by-case basis
• Less than 6 do not qualify for an energy audit
Utility companies will fund any measure the audit deems cost-effective
Buildings
identified as poor
performers are
channeled
through to the
funding program.
Applicants receive a
free year of
WegoPro, which
includes ability to
track retrofits. Scores
are channeled
through to the
Inventory.
8Things We’ve Learned
A Deutsche Bank study released January
2012 looked into trends in pre- and post-
retrofit building performance and the reliability
of savings projections using a sample of 231
multi-family buildings.
Only pre-retrofit fuel usage intensity was a
statistically significant predictor of post-retrofit
results.
What was not?
Study involved Steven Winter Associates, Michael Blasnick &
Associates. Buildings were a variety of vintage, heating
systems, utility data spanned a 9 year range (lots of weather
varieties and data was weather normalized).
www.db.com/usa/img/DBLC_Recognizing_the_Benefits_of_E
nergy_Efficiency_01_12.pdf
• Total square footage
• Heating system type
• Fuel type
1. Pre-retrofit Usage is the Most Reliable Predictor of Energy Savings
• Building age
• Building size
• Number of units
• High-rise vs Low-rise
-10000
-5000
0
5000
10000
15000
20000
25000
0 50000 100000 150000Sa
vin
g (B
tu/s
qft
)
Pre Usage (Btu/sqft)
WZN UPGRADES
Correlation: 0.68
2. Local Benchmarks Drive Program Decisions
3. Screening Applicants for Usage Targets Utility Funding to Buildings That Benefit the Most
3. Screening Applicants
Upgrade buildings
Applicants
Prequalification
M&V
Potential
savings
Maximizes potential savings
Focused audits
Driven by real data – accurate, reliable
Applicant Continuous customer engagement
Using Screens To Market to Owners
4. We Can Estimate Real Energy Savings Potential
5. M&V is Quick, Easy and Actionable
5. M&V is Quick, Easy and Actionable
Heating Plant Upgrades & Weatherization
Heating Energy Average (Btu/sqft/HDD) Average of Percentage (%)
Before 11.33 ---
After 7.77 ---
Saving 3.56 30%
Before Ave, 11.33
After Ave, 7.77
0.00
2.00
4.00
6.00
8.00
10.00
12.00
14.00
16.00
He
atin
g En
erg
y
(Btu
/sq
ft/H
DD
)
Heating - BTU/SF/HDD (before)
Heating - BTU/SF/HDD (after)
6. Data Shows How EE Programs Can Go Beyond the Basics
30,041 btu/br/day
10,231 btu/br/day
6. Data Shows How EE Programs Can Go Beyond the Basics
0
2
4
6
8
10
12
14
Oct
-09
No
v-09
Dec
-09
Jan
-10
Feb
-10
Mar
-10
Ap
r-1
0
May
-10
Jun
-10
Jul-
10
Au
g-1
0
Sep
-10
Oct
-10
No
v-10
Dec
-10
Jan
-11
Feb
-11
Mar
-11
Ap
r-1
1
May
-11
Jun
-11
Jul-
11
Au
g-1
1
Sep
-11
Oct
-11
No
v-11
Dec
-11
Jan
-12
Feb
-12
Mar
-12
Ap
r-1
2
May
-12
Jun
-12
Jul-
12
Au
g-1
2
Sep
-12
Oct
-12
No
v-12
Dec
-12
Heating Before (Btu/sqft/HDD) Heating After (Btu/sqft/HDD)
Heating Before: 6.70 Btu/sqft/HDD
Heating After: 4.13 Btu/sqft/HDD
7. Data Can Drive Policy Decisions
8. The Data Helps Spin Off New Programs
