Big Data & Effective Utility Programs

Transcription

1 Big Data & Effective Utility Programs results from large scale use of benchmarking in affordable housing Edward Connelly President, New Ecology, Inc. Founder, Wegowise, Inc. Boston, MA

2 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

3 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

4 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

5 As of August 19, 2013 Tracking: 252,338units 15,828buildings 360,000,000Square feet

6 What Does Wegowise Do? Building Info Raw Utility Data

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8 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

9 Basic Wegowise View

10 Programs Using Data

11 Applicants receive a free year of WegoPro, which includes ability to track retrofits. Scores are channeled through to the Inventory. LEAN Benchmarking Inventory Benchmarking 75% of multifamily affordable housing in MA (10,147 buildings) over a three-year period. Ends June Utility Companies receive spreadsheets with 839 new benchmarks each month, and an annual report with usage medians specific to MAaffordable 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.

12 8Things We ve Learned

13 Saving (Btu/sqft) 1. Pre-retrofit Usage is the Most Reliable Predictor of Energy Savings A Deutsche Bank study released January 2012 looked into trends in pre- and postretrofit building performance and the reliability of savings projections using a sample of 231 multi-family buildings WZN UPGRADES Correlation: 0.68 Only pre-retrofit fuel usage intensity was a statistically significant predictor of post-retrofit results What was not? Building age Building size Number of units High-rise vs Low-rise Total square footage Heating system type Fuel type 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). nergy_efficiency_01_12.pdf Pre Usage (Btu/sqft)

14 2. Local Benchmarks Drive Program Decisions

15 3. Screening Applicants for Usage Targets Utility Funding to Buildings That Benefit the Most

16 3. Screening Applicants Applicants Prequalification Maximizes potential savings Potential savings Upgrade buildings Focused audits M&V Driven by real data accurate, reliable Applicant Continuous customer engagement

17 Using Screens To Market to Owners

18 4. We Can Estimate Real Energy Savings Potential

19 5. M&V is Quick, Easy and Actionable

20 5. M&V is Quick, Easy and Actionable

21 Heating Energy (Btu/sqft/HDD) Heating Plant Upgrades & Weatherization Heating - BTU/SF/HDD (before) Heating - BTU/SF/HDD (after) Before Ave, After Ave, Heating Energy Average (Btu/sqft/HDD) Average of Percentage (%) Before After Saving %

22 6. Data Shows How EE Programs Can Go Beyond the Basics 30,041 btu/br/day 10,231 btu/br/day

23 Oct-09 Nov-09 Dec-09 Jan-10 Feb-10 Mar-10 Apr-10 May-10 Jun-10 Jul-10 Aug-10 Sep-10 Oct-10 Nov-10 Dec-10 Jan-11 Feb-11 Mar-11 Apr-11 May-11 Jun-11 Jul-11 Aug-11 Sep-11 Oct-11 Nov-11 Dec-11 Jan-12 Feb-12 Mar-12 Apr-12 May-12 Jun-12 Jul-12 Aug-12 Sep-12 Oct-12 Nov-12 Dec Data Shows How EE Programs Can Go Beyond the Basics Heating Before: 6.70 Btu/sqft/HDD Heating After: 4.13 Btu/sqft/HDD 2 0 Heating Before (Btu/sqft/HDD) Heating After (Btu/sqft/HDD)

24 7. Data Can Drive Policy Decisions

25 8. The Data Helps Spin Off New Programs

26 Thanks! Ed Connelly x 22