Transcript Data Driven DEER Replacement

Data Driven DEER Replacement
B
George Hernandez
August 6, 2015
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The Original Concept for Building Performance Database
The BPD provides…
Empirical Energy
Performance Data
 Empirical, non-synthetic (or modeled) data from multiple industry sources
 Cleansed, validated, and stored within a standard taxonomy
… to value energy efficiency
using an…
 Statistical method leveraging “pre” and “post” building data
Actuarial – Based
Methodology
 Normalization of data points that will not severely misrepresent results
 Elimination of the reliance on building-to-building comparison approach
… currently implemented
within two prototype…
Software Tools for Decision
Support
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 Energy Performance Forecasting Tool to forecast potential energy savings
 Financial Risk Management Tool to forecast future cash flows from savings
Historical Perspective - Energy Performance Forecasting Tool
Tool Overview and Screenshots
Sample Energy Performance
Forecasting Tool Artifacts
Summary Description
 Geared toward ESCOs, building engineers, and energy
efficiency experts to evaluate the energy savings
potential of different measures
 Based upon an actuarial methodology that is
markedly different than today’s standard engineering
approaches
– Not based on a 1-to-1 comparison of pre and
post retrofit energy consumption
– Compares target building to buildings that
share similar characteristics and performance
features
Portfolio Analysis Tool Module
 Calculates the energy savings potential for a specific
set of user-identified measures by comparing similar
buildings with and without those measures
 Savings opportunity depicted by a curve (probability
density function) that demonstrates a range of
savings potentials and the probability of attaining
that level (e.g. 30% probability of savings at least
50kWH, 95% probability of saving at least 90kWh)
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Unlock the Power of Building
Energy Performance Data
Buildings.energy.gov/BPD
[email protected]
4 | Energy Efficiency and Renewable Energy
July 2015
eere.energy.gov
The Buildings Performance Database
• The nation’s largest publicly-accessible dataset of information about the physical and
operational characteristics of real buildings
• Contains over 800,000 residential and commercial building records
• Features two main analysis tools: Explore and Compare
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The BPD aggregates data from many other tools
Data Sources
Software Tools
Collect data and conduct diagnostic
analysis about individual buildings
Basic Building
Info
Energy
Consumption
Audits
Commissioning
studies
Operating
characteristics
DOE’s Building
Rating Tools
Includes the Home Energy
Score & Commercial Building
Energy Asset Score
Other Tools & Databases
Includes Building Management
Tools, Energy Efficiency Program
Administration Databases, CBECS
and RECS, etc.
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Combine and analyze data from
many sources
An energy management tool that
tracks & assesses energy & water
consumption in user’s buildings.
Equipment &
asset info
Public records
Aggregation Platform
One publicly-accessible
database of anonymous,
empirical records.
Design Principles
By design, the BPD:
• Provides access to actual data on existing buildings - not modeled data or anecdotal evidence.
• Enables analysis of data without revealing information about individual buildings.
• Cleanses and validates data from many sources and translates it into a standard format.
• Allows users to create third party applications using the database through an API
DATA PLATFORM
ANALYTICAL TOOLS
API
• Explore Tool
• Compare Tool
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Third Party Tools
BPD Makes Data Available to a Broad Audience
Inputs: The BPD
• Large dataset
of actual data
from real
buildings
Outputs: Activities
• Assess EE
opportunities
• Forecast
project
performance
• Quantify
performance
risk
Outcomes
• More energy
efficiency
projects
undertaken
• More data on
EE project
performance
Value for decision-makers (e.g., building owners and policymakers):
Analyze narrow peer groups defined by geography or building-specific factors
• Regional markets,
• Specific building or equipment types
• Range of energy use intensities.
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BPD Tool - Explore
Allows users to:
• Filter the dataset based on building type, location, size, equipment, etc.
• Analyze using bar charts, scatterplots and tables
• Enter information about a building to see how it compares to a group
Florida Homes: Building Count by Source kBtu/SF/yr
Florida Homes: Source kBtu/SF/yr by Floor Area (SF)
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Explore Tool Example
: Washington DC Benchmarking Data
Office Buildings
<1M SF, built since 1900, Source Consumption by Gross SF
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BPD Tool - Compare
Allows users to:
• Compare any two datasets using actuarial or regression methods
• See the relative impact of different variables, or the likely savings from an
improvement
All Commercial Retail Buildings
Regression Analysis: Compare T12 to T8 fluorescent lamp retrofit
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Compare Tool Example
CA vs NY Energy Performance
Commercial Office Buildings
Compare Energy Performance in CA vs NY Office Buildings
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Regression Analysis
All Commercial Buildings
Regression Analysis: Compare constant airflow to variable airflow
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Current Data Sources for the BPD
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>800,000 buildings, from both public and private contributors.
More datasets are being added regularly. There is no upper limit for the number of buildings
the BPD can hold.
Private
Ascension Health
Best Buy
Brandywine Realty Trust
Cleveland Clinic Foundation
CNT Energy
Connexion Asset Group
Forest City Enterprises
HEI Hotels & Resorts
Hotels Group)
IHG (InterContinental –
Jones Lang LaSalle
Kohl’s
Kohl's Department Stores
Lend Lease
Liberty Property Trust
Lucid Design Group
Macy's
New York Presbyterian Hospital
Parmenter Realty Partners
Prologis
Prudential
Related
RREEF Real Estate
Shorenstein Properties LLC
Sprint
Staples
Starbucks Coffee Company
The PNC Financial Services Group
The Tower Companies
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Tishman Speyer
Transwestern
University of Pittsburgh Medical Center
USAA Real Estate Company
Vornado Realty Trust
Walgreens Co.
Wyndham Worldwide
Public
Alachua County Public Schools
Allegheny College
Camas School District, WA
Delaware State University
Douglas County School District, NV
Dysart Unified School District No. 89, AZ
Fort Atkinson School District, WI
Houston Independent School District, TX
Indian River Central School District, NY
Kentucky Community and Technical College
System
Mesa County Valley School District 51, CO
Michigan State University
Portland Public Schools, OR
Poudre School District, CO
University of California, Irvine
University of Hawaii at Manoa
University of Utah
University of Virginia
U.S. Energy Information Administration
U.S. General Services Administration
U.S. Environmental Protection Agency
U.S. Office of Housing and Urban Development
Arlington County, VA
Arvada, CO
Atlanta, GA
Beaverton, OR
Boston, MA
Chicago, IL
Clark County, NV
Cleveland, OH
Columbia, MO
Denver, CO
District of Columbia
Forth Worth, TX
Hillsboro, OR
Houston, TX
Huntington, NY
Los Angeles, CA
Milwaukee, WI
Omaha, NE
Philadelphia, PA
Placer County, CA
Roanoke, VA
Sacramento, CA
Seattle, WA
Toledo, OH
West Palm Beach, FL
Will County, IL
Current Data Sources for the BPD (continued)
Commonwealth of Massachusetts
El Paso, TX
Gillette, WY
Hall County, GA
Kauai, HI
Kitsap County, WA
Knoxville, TN
Margate, FL
Medford, MA
Pittsburgh, PA
Rochester, NY
Santa Fe, NM
Spokane County, WA
State of Delaware
State of Iowa
State of Maryland
State of Minnesota
State of North Carolina
State of Rhode Island
Thurston County, WA
Worcester, MA
New York City Dept. of Citywide Administrative
Services
New York Power Authority
California Commercial End Use Survey
Pennsylvania Keystone HELP Home Energy Loan
Program
San Diego Gas and Electric
San Francisco Department of the Environment
State of California Public Utilities Commission
State of California Energy Commission
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Seattle, Washington
University of Arizona
University of Dayton
District Department of the Environment:
Washington, DC
Vermont Energy Investment Corporation
Virginia Beach City Public Schools
The City of Phoenix: Energize Phoenix
ACTION-Housing, Inc.
Aeon
BRIDGE Housing Corporation
Campus Crest Communities
Columbia Residential
Community Housing Partners
Corcoran Management
Denver Housing Authority
EAH Housing, Inc.
East Bay Asian Local Development Corporation
Eden Housing
Forest City Enterprises
Green Coast Enterprises
Hispanic Housing Development Corporation
Homes for America
Housing Authority of City of Atlanta, GA
Housing Authority of City of Baltimore, MD
Housing Authority of City of Bristol, CT
Housing Authority of City of Buenaventura, CA
Housing Authority of City of Freeport, IL
Housing Authority of City of Helena, MT
Housing Authority of City of Palatka, FL
Housing Authority of City of Philadelphia, PA
Housing Authority of City of Tampa, FL
Housing Authority of Knox County, IN
Housing Partnership Equity Trust
Jersey City, NJ Housing Authority
LINC Housing Corporation
McCormack Baron Salazar
Mercy Housing, Inc.
Multi-Family Mission Ministries
National Church Residences
National Housing Trust
NHP Foundation
Preservation of Affordable Housing
REACH CDC
Retirement Housing Foundation
Rural Ulster Preservation Company
Satellite Affordable Housing Associates
Tenderloin Neighborhood Development
Corporation
The Community Builders, Inc.
The Economic Development Authority of the City
of Mankato, MN
The Evangelical Lutheran Good Samaritan Society
The Tower Companies
TIAA-CREF
Tonti Properties
Trinity Management
Village of Hempstead Housing Authority
Volunteers of America
WinnCompanies
About the Data: Scope of BPD Records
Datasets contributed to the BPD include:
REQUIRED: Basic Building Characteristics
OPTIONAL: Detailed Building Characteristics
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Operational information (Portfolio Manager data),
such as:
• Types of activities and associated floor area
• Operating hours
• Number of occupants
City, State, Zip Code
Usage type (office, retail, home)
Building floor area
Year completed
Electricity/fuel use for at least one year
*All datasets must contain a minimum of 50
building records
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Equipment & Asset information, such as:
• Lighting type and controls
• Air distribution configuration, controls, etc
• Heating and cooling equipment types &
efficiencies
• Hot water equipment type & efficiency
• Wall, roof and window characteristics
About the Data: Statistics and Standardization
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The database contains > 800,000 buildings
–
73,000 commercial
–
738,000 residential
The data represents
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1.3% of the U.S. commercial building stock (CBECS, 2009
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0.6% of the U.S. residential building stock (RECS, 2009)
All the data is cleansed and standardized using the Building Energy Data Exchange
Specification (BEDES)
SEED Platform
The Standard Energy Efficiency Data (SEED) Platform™ is an open source software
application that helps organizations easily manage data on the energy performance of
large groups of buildings. Users can combine data from multiple sources, clean and
validate it, and share the information with others. The software application provides an
easy, flexible, and cost-effective method to improve the quality and availability of data to
help demonstrate the economic and environmental benefits of energy efficiency, to
implement programs, and to target investment activity.
The SEED Platform™ is designed to help organizations manage and share large datasets
about building performance: state and local governments implementing building
benchmarking regulations, building managers, energy efficiency program managers, and
more. SEED can help public entities that are implementing benchmarking and disclosure
laws, but the core functionality is highly flexible and can be useful for a range of other
purposes.
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Potential Next steps
• Contemplate/design a hybrid system that uses both measured
demonstration or test data from real projects and allows people to apply
that data to e.g. other building types or climate zones via modeling
• Use something like the Technology Performance Exchange (TPEx) and
Building Component Library (BCL) to store characteristics of the
measures and keep adding new measures as they become available.
• For measures where measured data isn’t yet available, Use a simulation
tool (DOE-2, Energy Plus, Transys, etc) to estimate the performance of
the measure and "fill the cracks".
• Develop a process to target and collect data for all measures to be
considered so that a living ever improving database of measure
performance is created
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