1. GrocerSmart™ 4.0 RTF Approval of Software and Adherence to RTF Guidelines April 5, 2011

2. 2 Topics: Today’s Decisions GrocerSmart 4 Purpose and Timeline Documentation Field Protocol Result Validation Plan for Calibration

3. Today’s Decisions RTF approval of the documentation strategy Baseline calibration for GS4 provisional protocol status Feedback on measure savings calibration approach, plan and timeline –What is the RTF recommended “best practice” approach Discussion of potential field application guidelines as process to keep simulation model on bounds during the calibration process

4. Purpose and Timeline

5. Refresher on Purpose Increase audit information gathered with fewer assumptions Perform site-specific calculations Capture interactivity Offer programs measure complexity

6. GS4 History with RTF

7. Documentation Approach reviewed and approved by RTF Refrigeration Subcommittee

8. 8 DOE2 Baseline Energy DOE2 Proposed Energy Template Code Envelope HVAC auto-sized Lighting W/SF Equipment W/SF Standard Values Audit Code Fixtures Walk-Ins Compressors Condensers Schedules Measure Code Keyword Changes

9. Audit

10. Template

11. Measures

12. Field Protocol

13. Field Staff Training Refrigeration schedule review Auditing best practices Complete visual glossary of equipment likely to be seen in field Full EMS training with mock system Full audit walk through with senior field staff

14. Within Acceptable Ranges? SIM Param EUI Space Temps Measures Savings Audit Calcs Complete Recommendations to customer based on historic savings averages Examine cause of out-of-bound results. Apply the following as necessary: Adjustments to Template, Audit-generated, or Measure BDL code Field staff training Audit Process Calculated Savings Accepted Where necessary, recommended calculator changes to RTF subcommittee for approval PECI Field Staff PECI Engineering Staff Yes No

15. Validation

16. 16 Validation....Calibration Calculator Validation –Confirms energy calcs are within reasonable range –Reasonable range defined by GS3 historical data CBSA –Building level and system level Results Validation –Similar to Calculator Validation –Done for every audit Calibration –Confirms energy calcs closely match that of best method Site specific Compared to recorded data –Continuous Improvement

17. 17 TestingPilot Roll Out In Market Calculator Validation Template adjustment Baseline energy validation System level calibration Audit Data Template adjustment Measure adjustment Per Audit Result validation Continuous Improvement Measure level calibration Time Operational Parameters Check Acceptable Ranges of Energy Savings Now

18. 18 Operational Parameters 1. Building Level 2. System Level Validation Question: Is the modeled building functioning in an expected way? Source: Parameter: Energy Use Index (EUI) CBSA – Northwest Commercial Stock Assessment

19. 19 Operational Parameters 1. Building Level 2. System Level Validation Question: Are building systems operating at expected levels as modeled? Sources: Parameters: Normalized refrigeration energy use in kWh/BTU Sales floor temperature Simulation Reports

20. Example Measure Savings Ranges From Historic GrocerSmart 3.0 Calculated Savings Acceptable Savings Ranges

21. Validation of GrocerSmart 4.0 Tests Acceptable Savings Ranges

22. Calibration

23. 23 Potential Best Practice Methods for Savings Calibration PROS CONS Whole Building Data availability (compared to end use) Savings estimated from actual usage Estimates include non-refrigeration activities/changes Calibration approach unclear Measure Isolation Savings estimated from end use level usage Builds end use data for region Estimates do not capture interactions with other systems Cost Calibrated Simulation Data availability Difficult to align with template approach Difficult to implement

24. Savings Calculator Calibration Plan 1.Annual / monthly comparison of calculated energy use to billing data Reality check to see if our template is producing a reasonable whole-building baseline approximation of energy use. 2. Refrigeration subsystem calibration kWh/MBH of system, for different configurations 3. Metered energy savings by measure High Impact Measures (HIM) Metering with measure isolation

25. 1.Annual / monthly comparison of calculated energy use to survey data Reality check to see if our template is producing a reasonable whole-building baseline approximation of energy use. RTF/Subcommittee discussion points: Number of tests Level of calibration Valid data sources Schedule

26. 26 Possible Sources: Meter refrigeration subsystems Lights, fan motors, anti-sweat heaters, compressors and condenser fan motors. Meter data from measurements (field not lab) reported in literature (e.g. Summit Blue program evaluation, PNNL LED case lighting), from store monitoring system (compressors) and from PECI measurements. 2. Refrigeration subsystem calibration kWh/MBH of system, for different configurations RTF/Subcommittee discussion points: Number of tests Level of calibration Valid data sources Schedule

27. Baseline Refrigeration Calibration Variables Matrix Variables Affecting AccuracySource(s) of Value Calibration Variables Refrigerated case conduction Case libraryX Refrigerated case infiltration Case libraryX Walk-in infiltration Audit driven estimateX Walk-in design capacity Audit driven estimateX Walk-in latent heat ratio TemplateX Walk-in occupancy and schedule TemplateX Walk-in equipment loads TemplateX Saturated suction temperature throttle TemplateX EPR valve pressure drop TemplateX Saturated condensing temperature throttle TemplateX Backflood valve setpoint TemplateX Design TDs for condenser sizing Condenser libraryX OA temperature Weather fileX

28. 3. Metered energy savings by measure High Impact Measures (HIM) Metering with measure isolation Outline 2 year schedule 5-10 sites per measure Northwest High Impact Measures > 50% of program kWh Stratification of samples: tons of refrigeration per square foot Measurement Approach: Use building interval meter data from 1 year prior to and 3 months post installation. Calculate error of GS compared to best method for all measures and all sites. Examine trends in error data to determine root cause. Modify GS inputs to reduce error to 20% for all sites and HIM measures.

29. Measure Calibration Variables Matrix Example: FHP Control Variables Affecting AccuracySource(s) of Value Calibration Variables Baseline condenser fan control Audit input Baseline minimum set point Audit input Number and size of condenser fans Audit input, library Condenser type: air-cooled or evap-cooled Audit input Condensing unit or remote condenser Audit input Condenser over-sizing Audit input, library Fan control for measure EEM keywords Condenser fan VSD Audit driven estimateX Total hours above and below new and old minimum set point Weather file Refrigeration load during floating hours - case load Audit input, libraryX Refrigeration load during floating hours - walk-in load Audit driven estimateX Refrigeration load during floating hours - store humidity and temperature Weather file, template for HVAC X Compressor capacity control (multiplex, unloaders, VFD) Audit input

30. 30 Provisional Approval: Documentation Result Validation Plan for Calibration