RTF Refrigeration SubcommitteeApril 27, 2011

2

Agenda

• Review evaluation/calibration outline

• Validation Results

• Subcommittee recommendation and next steps

3

Evaluation Approach

• Evaluate program savings

• Provide empirical data for calibration

• Refrigeration end-use

• Two weeks pre and post minimum

• Shoulder seasons preferable

4

Data collected may include

• Compressor and condenser energy data

• Display case or walk-in energy data

• EMS temp and pressure trends

• GS4 audit and refrigeration schedules

• Whole building interval meter data where available

5

Sampling

• Sampling unit: measures or measure bundles

• 24 sites for calibration

• CV of 0.3, 90% confidence, and 10% precision

6

Timelines and Responsibilities• Launch programs using GrocerSmart 4.0 (Implementation)• Assemble evaluation team to write up detailed evaluation plan

and metering strategy (Evaluation)• Collect pre- and post-project end use and whole building

interval meter data (where applicable). Implementers and evaluators will coordinate to install meters at sample sites. (Evaluation - lead; Implementation - support)

• Analyze the data to estimate savings for projects, measures, or measure bundles. Compare to GrocerSmart 4.0 and adjust program data. (Evaluation)

• Calibrate GrocerSmart 4.0 with the data from the impact evaluation (Implementer)

7

Validation

• Parameters– Climates (5)

• CZ01, CZ06, CZ16, Portland, Seattle

– Test Audits w/ refrigeration sizes and counts (10) from 17 to 86 tons refrigeration

– Measures• FHPC• ASHC-LT• ASHC-MT• ECM Cases• ECM Walk-ins

– 300 DOE2 calculations at this time

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Anti-Sweat Heat Control Low Temp Savings Validation

0

100

200

300

400

500

600

700

800

1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5

1 2 3 4 5 6 7 8 9 10

Test Numbers and Climates

kW

h S

av

ing

s /

un

it Average of high GS3 values

Average of low GS3 values

9

Anti-Sweat Heat Control Med Temp Savings Validation

0

100

200

300

400

500

600

700

800

1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5

1 2 3 4 5 6 7 8 9 10

Test Numbers and Climates

kW

h S

av

ing

s /

un

it

Average of high GS3 values

Average of low GS3 values

10

Display Case SP to ECM Savings Validation

100

200

300

400

500

600

700

800

900

1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5

1 2 3 4 5 6 7 8 9 10

Test Numbers and Climates

kW

h S

av

ing

s /

un

it

Average of high GS3 values

Average of low GS3 values

11

Walk-In SP to ECM Savings Validation

0

100

200

300

400

500

600

700

800

1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5

1 2 3 4 5 6 7 8 9 10

Test Numbers and Climates

kW

h S

av

ing

s /

un

it

Average of high GS3 values

Average of low GS3 values

12

Floating Head Control Savings Validation

0

2000

4000

6000

8000

10000

12000

1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5

1 2 3 4 5 6 7 8 9 10

Test Numbers and Climates

kW

h S

av

ing

s /

un

it

Average of high GS3 values

Average of low GS3 values