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1 Session: [Session Title] [Presentation Title] [Presenter Name] [Presenter Organization] August [XX], 2016 Rhode Island Convention Center Providence, Rhode Island

2 Federal Sector Buildings Overview In FY2014 the Federal Government Owned 300,000 buildings (112,000 with electricity meters) Totaling 3 billion square feet in goal buildings Using 321 trillion BTUs of energy Costing $7.1 billion annually Averaging 101 kbtus/square foot 2

3 Federal Sector Energy Efficiency and Metering Drivers Metering is required for electricity, natural gas, steam, and water consumption per Energy Policy Act of 2005 Energy Independence and Security Act of 2007 National Energy Conservation Policy Act Section 543, as amended (42 U.S.C. 8253) Executive Order 13693, Planning for Federal Sustainability in the Next Decade Federal Building Metering Guidance update was issued November

4 Federal Building Metering Guidance Overview The purpose of metering Federal buildings is to collect, analyze, and act on the energy performance data Hourly data is minimum interval to be collected Data must be incorporated into a data management system Data must be provided to the energy manager The guidance provides a two step process for installation of meters in Federal buildings: Step 1 sets criteria for determining Federal buildings for which the installation of meters is appropriate. Step 2 recommends a methodology for establishing a prioritization process for the installation of meters at all appropriate Federal buildings The guidance required Federal agencies to submit 5 year metering implementation plans by November

5 Federal Energy Data Users 5

6 Types of Data Annual Total annual energy use by fuel type in dollars and energy units Data collected at the building, campus, sub agency, & agency levels Monthly Monthly energy use by fuel type in dollars and energy units Data collected at the building, campus, sub agency, and agency levels Interval Meter data collected at defined intervals (for example 1 hour data) Data collected at the equipment/component, building, and campus levels Natural Gas Consumption Rate (scfh) ,000 20,000 15,000 10,000 5,000 Natural Gas Consumption (scf/wk) 0 4/1 4/8 4/15 4/22 4/29 5/6 5/13 5/20 5/27 6/3 6/10 0 Natural Gas (scfh) Natural Gas (Rolling Total, scf/wk) 6

7 Capability Level 7

8 Matching Users with Data Needs Capability/Personnel/Data Essential Capability Moderate Capability Non-Essential Capability BASIC USER ADVANCED USER SUPER USER Description Ability to read utility bills, Ability to combine multiple Ability to obtain, manage, Ability to develop a Ability to automate energy convert, add and anylze characteristics of a interpret and validate database capable of usage downloads to energy from multiple fuel building/site to analyze building energy interval storing and managing database, function within a sources trends (e.g. climate, size, data from advanced large quantity of energy building automation system building type) meters use data and troubleshoot equipment Agency Viewers Utility Billing Personnel Policy Developers HQ Energy Managers Energy Managers Building Engineers - Total Energy Use Data Needs - Billing Data - Total Energy Use - Total Energy Use - Building/Site Data - Total Energy Use - Interval Data - Total Energy Use - Interval Data - Interval Data - Re-tuning Data - Sub-cycle Data 8

9 Data Management 9

10 Data Processing Meter data frequently have suspect data or data gaps that need to be addressed prior to data analysis Energy managers have limited time; automating this initial step reduces time needed to prepare the data for analysis Standard method will reduce the variability in the energy values used for analysis A standard data processing method does not address all meter data quality issues, but will eliminate the more commonly observed data issues. A well-trained energy manager with direct experience with a building is the most effective way to examine energy data. Phase 1: Identify Suspect Data Phase 2: Fill Data Gaps Identify Negative Consumption Values Identify Extremely High (Positive) Consumption Values Option 1: Annual or monthly data analysis (Total consumption & EUI) Option 2: Load profiles of the interval data (Daily & monthly profiles) 10

11 Data Analysis Building level Analysis Total energy consumption and cost Annual EUI and/or Energy Star Portfolio Manager score Monthly EUI Weekly load profiles Daily load profiles Peak load profiles Granular time interval analysis Campus level Analysis Total energy consumption and cost Annual EUI Peak load profiles Agency/Sub agency level Analysis Total energy consumption and cost Annual EUI 11

12 Federal Building Metering Challenges Meter Data Use Data Processing to address data quality issues Energy Management System(s) with analysis tools for different user levels Cyber Security Early involvement of information security specialist Documenting and communicating consistent Agency Security Policies and Procedures Culture Change Education and Training Management Support/Champion Resource Constraints Time Funding Capability 12

13 Federal Building Metering Resources Federal Building Metering Guidance, November 2014 Update: Metering Best Practices: A Guide to Achieving Utility Resource Efficiency, Release 3.0: De Minimis Thresholds for Federal Building Metering Appropriateness, March 2015: pdf Federal Metering Data Analysis Needs and Existing Tools, July 2015: pdf Simplified Data Processing Method for Meter Data Analysis, November 2015 ( pdf) Prioritizing Building Water Meter Applications Estimating Methods for Determining End-Use Water Consumption 13

14 Contacts SARALYN BUNCH Phone: KIM M FOWLER CHIEF RESEARCH ENGINEER PACIFIC NORTHWEST NATIONAL LABORATORY Phone: kim.fowler@pnnl.gov 14