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Public Sector Building Energy Efficiency: Maybe There is a Silver Bullet Wednesday, May 17th 3:45pm to 5:00pm
Panelists
Daniel A. Seligman, Senior Manager for Energy Efficiency, Ceres, Inc.
Kyle Bradbury, Managing Director, Energy Data Analytics Lab, Duke University Energy Initiative
Harry Bergmann, U.S. Department of Energy
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Kyle Bradbury Duke University Energy Initiative
Harry Bergman U.S. Department of Energy
Benchmarking often serves as the foundation for a complimentary suite of energy efficient policies
Benchmarking
Retro- commissioning
Energy Audits Green Leasing Sub-metering
Certification of Building Operators
Energy Efficient Municipal Portfolio
Lighting Upgrades
Energy Efficiency Upgrades
Energy Code Compliance
Policy Progression
Building Use Information
Utility Data
Tax Assessor Data
Audit Data
Contact Information
Retrocommissioning
Benchmarking Results
Spreadsheets on Spreadsheets on Spreadsheets…
Tons of Data More building data is being produced than ever before
Lack of Insight However, this data is decentralized and in varying formats, making data exchange and analysis difficult and leaving huge opportunities for efficiency gains and market activity untapped
No Insight = No Action When decision makers understand how buildings use energy and can predict results from upgrades, they can support smarter investments, design better policies, and implement better programs
The Problem
• Data Standardization (Format and Definitions)
• Transparency among Market Actors
• Interoperability of Tools
Hypothesis
Solution: Integrated Network of Building Data Tools
BuildingSync XML
Why is this the solution? – DOE is in a unique position to provide a standardized, integrated tool set to the
market at no-cost – Tools are designed to help markets function more efficiently – Tools address each phase of a building’s lifecycle (design, operations, retrofit) – Tools serve as a foundation for private sector products to build upon – Tools aim to inform wise investments, grow new markets, and make buildings
more competitive and resilient
Asset Score
Standard Energy Efficiency Data (SEED) Platform “The Database” An open source tool to automate the data aggregation, cleansing, and matching process across sources to save time, streamline complex processes, and enable organizations to gain deeper insight into their buildings.
Tools in Action
Why is your City Manager excited about this? • SEED matches data from multiple sources with minimal
effort and enables insight to be gained about his city • SEED is free to use and has minimal operational cost • Staff burden is significantly reduced • The City can share data through SEED easily • SEED helps the program generate quantifiable value
through providing digestible data to the market
BU
ILD
ING
S
Asset Score “Model Builder” Generates a model and score indicating the efficiency potential of the underlying assets in a building. Diagnostics and recommended EEMs identified via lifecycle cost analysis and provide a distinct output from performance scores.
Asset Score vs. Energy Star Portfolio Manager
Credit: Performance Systems Development
Building Performance Database “Public Portal” Provide public access to anonymized real-building data for customizable queries and peer-to-peer comparisons. World’s largest building energy database with nearly 1M buildings.
Tools in Action
Putting Data to Work Project 2015 FOA Award with
IMT Project Outcomes: Quantify the value of
benchmarking data Produce a toolbox for
interested jurisdictions to easily replicate the processes to produce the benefits from benchmarking programs across
Tools in Action
Open Efficiency Initiative 2015 FOA Award with
PSD Project Outcomes: Create a centralized
software platform connecting DOE Data Tools with other major software tools.
Provide Asset Scores on 300+ buildings.
Design a replicable model to ease access to building energy data tools network.
What does this network enable? Data-Driven Decision-Making Strategies Value EE in rental and procurement decisions in buildings Targeted EE & RE programs and customer outreach Additional Data to enable M&V (2.0) Increased transparency in the market so EE becomes a front-
of-house amenity Market Transformation Energy Masterplanning Integrated Distributed Energy Resources (IDER) & ISDM Targeted procurement efforts and engagement with the
middle of the market
20 | Energy Efficiency and Renewable Energy eere.energy.gov
Questions?
Energy.gov/EERE/buildings/analysis-tools
Harry Bergmann Data Tools Fellow
Appendix
BSXML
Data Tools Foundational Network
Asset Score
Cen
traliz
e
Col
lect
Valid
ate
Rep
ort
Cus
tom
ize
Shar
e
Asset Score Audit
Template Im
port
Mat
ch
Cle
anse
Anal
yze
Map
Expo
rt
BS
XM
L
3rd Party Tools & Software
Building Owners Building
Managers Service Providers EE Contractors
Public Agencies, REIT, Program Implementers,
etc
BuildingSync XML “The Hand-Off” Standardized file format to facilitate the exchange of building energy audit data in a way that produces a predictable result regardless of the specific software platform being used to read the file.
Building Energy Data Exchange Specification “The Translator” Lower the transaction costs of sharing building data by creating an easy to adopt exchange specification enabling widely used tools to communicate with ease.
Asset Score National Leadership Network
• AECOM • Arup • Association of Energy Engineers • CH2M Hill • City of Milwaukee • DNV GL • FS Energy • Ingersoll Rand • JBG Companies • Liberty Property Trust • Marriott International
• Marx Okubo • National Oceanic and Atmospheric
Administration • Performance Systems Development • Skidmore, Owings & Merrill • State of Missouri • State of Rhode Island • Steven Winter Associates • Transwestern • U.S. General Services Administration • YR&G
Announced in January 2016 at the White House, 21 organizations will work with DOE to use the Asset Score, conduct case studies, and help improve the tool
Inside the Asset Score
Asset Score Full Version
Asset Score Full Version
Asset Score Report
10-point scale based on predicted EUI - Recently transitioned from
100-point scale - Current and Potential Scores - “10” represents lowest
expected energy usage using current EE technologies
- Custom opportunities to improve
- High-level system evaluations
Asset Score Report
Asset Score Report
Score Analysis
Score Analysis
Smart Efficiency: Maryland Case Study
Better Buildings Summit May 17, 2017
Many Barriers to Efficiency in Existing Buildings
Source: Johnson Controls, Inc. (2010)
Use Technology to Operate Buildings Better
How Does Smart Efficiency Work?
Raw Energy-Use Data
Prioritize Opportunities
Visualize, Diagnose &
Treat
Measure & Verify
Load Density (
Tighter Hours of Operation & Improved Scheduling
Load Density (Before and After)
Steam Only
26-Story Office Tower
Weekday Savings
Electricity & Steam
Weekday Savings Weekday Savings M&V
BGE Energy-Analytics PROGRAM BACKGROUND
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Small & Medium Businesses = Challenge
High energy bills Dedicated facility management Interest in specific EE projects
LARGE CUSTOMERS
Success
Improving Customer
Interaction
Refining Customer Targeting
Creating Value for Trade
Allies
DELIVERING RESULTS
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60% of the people we met
with completed a project application
49 million kWh in energy savings identified
Interest in 110 measures worth 7,850,000 kWh
22 projects in 2015
vs 44 projects in
2016
30% of people we were able to
speak with agreed to a
meeting
Conclusions • Reduced energy-use 11-16% • Paybacks of 1-3 months (includes in-house labor!) • Low costs enable “EE On Ramp” • Analytics train building staff to their building • Enables management buy-in (office complex & RCx) • Savings concentrate in HVAC, complement lighting • Positive feedback loops (schools, office complex) • Service providers earn owner trust to achieve deeper
savings (BGE RCx program) • Quick M&V increases owner confidence in deeper retrofit
investments (office complex)
So How Do We Scale Up?
1. Prioritize Opportunities Across Large Portfolios
2. Diagnose Issues & Implement Low-Cost Operational Savings (10-20%)
3. Graduate to Lighting & HVAC Upgrades for Deepest Savings (20-30%)
4. Measure & Verify Savings Remotely
“Leap Frog” Established Models
So How Do We Scale Up?
1. Prioritize Opportunities Across Large Portfolios
2. Diagnose Issues & Implement Low-Cost Operational Savings (10-20%)
3. Graduate to Lighting & HVAC Upgrades for Deepest Savings (20-30%)
4. Measure & Verify Savings Remotely
“Leap Frog” Established Models
Serve larger share of commercial customers
Create pipeline for “deep” retrofit
Reduce HVAC Performance Risk
Barriers to Scale • Data access issues • Hard to create a winning business model
– Where’s the value add? – Can analytics complement existing EE services? – How do we give government agencies the right incentives?
• Incumbent resistance • Competing agency priorities • Utility program rules
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For more information, visit us:
www.ceres.org
@CeresNews
Thank You
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