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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

Harry Bergmann – Data Tools Fellow Harry.Bergmann@ee.doe.gov

Catalyzing Building Data with DOE Data Tools

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

Harry.Bergmann@ee.doe.gov

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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Daniel A. Seligman Senior Energy Manager

Ceres

(202) 365-1219 seligman@ceres.org

Questions?

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For more information, visit us:

www.ceres.org

@CeresNews

Thank You

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