Appendix C – EM&V and UES Calibration Plan
EM&V AND UES CALIBRATION PLAN:
NIGHTCOVERS ON VERTICAL MEDIUM
TEMPERATURE OPEN MULTI-DECK CASES
(RETROFIT)
Submitted to
REGIONAL TECHNICAL FORUM
Submitted by
Portland Energy Conservation Inc.
100 SW Main St, Ste 1600
Portland, OR 97204
August 19, 2011
TABLE OF CONTENTS
1. OVERVIEW.......................................................................................................... 1
2. ELIGIBLE PROJECTS ............................................................................................... 1
3. REQUIRED COMMISSIONING .......................................... ERROR! BOOKMARK NOT DEFINED.
4. DATA COLLECTION REQUIREMENTS ........................................................................... 1
4.1. Refrigeration system Specifications ................................................................................... 1
4.2. HVAC Operations ............................................................................................................... 2
4.3. Pre and Post-Period Electrical Measurements .................................................................. 2
4.4. Facility Control System Pre and Post-Period Trend Logs ................................................... 3
5. SAVINGS ESTIMATION STEPS ................................................................................... 3
5.1. Compute Savings for Trend Log Intervals .......................................................................... 3
5.2. Annualized Savings: System Load Determined by OAT ..................................................... 3
6. SAMPLING PROCEDURE .......................................................................................... 3
7. RELATIONSHIP TO OTHER PROTOCOLS AND GUIDELINES ................................................. 4
8. TYPICAL COST OF APPLYING THIS PROTOCOL ............................................................... 4
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1. OVERVIEW
This document summarizes the research that needs to be performed in order to calibrate the UES values
provisionally approved by the Regional Technical Forum for the Grocery Refrigeration Measure: Night
Covers on Vertical Medium Temperature Open Multi-deck Cases, (Retrofit)
This document specifies minimum acceptable data collection requirements and the method by which
these data are to be used to calibrate UES estimate. For some data elements, alternative sources of
data, considered to be of superior quality, are also defined and are allowed.
2. ELIGIBLE PROJECTS
Following criteria define the eligible night cover upgrade projects for the purpose of UES Calibration.
This does not define the projects eligible for incentive; please see PECI’s grocery program Terms and
Conditions for more general requirements.

Measure must impact affected compressor loads by a minimum of 10%, based on engineering load
calculation.

Aside from measure and system upgrades directly caused by the measure under discussion, no
other measures may be implemented during the pre or post monitoring period.

Natural Gas usage data must be available via hourly pulse data for both the pre and post period.
3. DATA COLLECTION REQUIREMENTS
The following data must be collected in order to affectively calibrate the UES estimate. The minimum
acceptable procedure for obtaining the data is specified. In some cases, alternative procedures are
allowed which would provide data of higher quality.
3.1. Refrigeration System Specifications

Compressor Specs and Configuration. Determine by inspection or with current refrigeration
schedule: Complete compressor model and serial numbers for all affected loads, suction
temperature, minimum condensing pressure, refrigerant type.

Condenser Specs. Determine by inspection or with current refrigeration schedule: Condenser
model and serial number, capacity, control sequence, fan motor type and horsepower, minimum
condensing temperature, design approach temperature.

Baseline Control Strategy. Determine by inspection or with current refrigeration schedule:
Compressor unloading strategy, system trending capability.

Case Specs. Determine by inspection or with current refrigeration schedule: Capacity, defrost
schedule, lighting power density, suction temperature, fan motor type.
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
Heat Reclaim System Specs. (If applicable)
3.2. HVAC Operations

HVAC System Setpoints. Obtained from inspection or facility operator. System schedule and
temperature setpoints.

HVAC System Specs. Identify from inspection: unit efficiency ratings (EER or SEER and AFUE where
applicable), make and model numbers, and heating fuel type

Economizer Setpoints. Obtained from inspection or facility operator. Determine if an economizer
is present and operating. If applicable, identify the economizer changeover temperature.

Weather Station. Identify the TMY (Typical Meteorological Year) weather station which is closest to
the project site.
3.3. Pre and Post-Period Electrical Measurements

One-Time Electrical Measurements. Taken by a licensed electrician under the on-site supervision of
the practitioner. Log Voltage and amperage to ensure trend data is reasonable for all affected loads.

True Power Trends for Compressor Rack or Affected Single Compressor. A data logger is installed
to measure 15-minute averages of interval true RMS voltage, current, and power factor for 3-weeks
pre and 3-weeks post measure installation and commissioning.

True Power Trends for Condenser(s). A data logger is installed to measure 15-minute averages of
interval true RMS voltage, current, and power factor for 3-weeks pre and 3-weeks post measure
installation and commissioning.

Hourly Natural Gas Meter Utility Pulse Data. 60-minute natural gas trends must be available by
the local natural gas utility. A minimum of 3-weeks pre and post measure installation and
commissioning are required. Depending on time of year and range of outdoor temperatures, more
data may be needed to adequately identify natural gas savings. This will be identified by the
practitioner before the start of the project.

Amperage Trends for Affected Cases. A data logger is installed to measure 15-minute averages of
case auxiliary load amperage (i.e. lights and evaporator fans). If trend loggers are not equipped to
record average amperage, then a minimum logging interval of 5-minutes is required. 3-weeks pre
and post measure commissioning are required.

OAT Trends. 15-minute outside air temperature trends for 3-weeks pre and post measure
commissioning.

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Alternative Measurements. In lieu of the on- site OAT trends, applicable NOAA data can be utilized.
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3.4. Facility Control System Pre and Post-Period Trend Logs

Trend Log of Suction Pressure or Temperature This data may be obtained from the facility’s control
system.
4. SAVINGS ESTIMATION STEPS
Savings are estimated using standard engineering calculations. The savings will be projected over a
typical year using TMY3 data from an appropriate weather station.
4.1. Compute Savings for Trend Log Intervals

Data Synchronization. Start times for all trend log intervals are synchronized by moving each to the
closest standard interval starts times of 0, 15, 30 and 45 minutes after the start of each hour.
4.2. Annualized Savings: System Load Determined by OAT

Average Savings by Trend Log Bin. Average kW savings by four degree temperature bins for all
trend log intervals during operating hours, as defined by facility operations schedules.

Operating Hours by TMY Bin. Divide the 8,760 TMY OAT data into two degree bins and compute
frequency of annual operating hours for each bin, as defined by facility operations schedules.

Average Savings by TMY Bin. TMY bin average bin savings equal trend log average bin savings for
each matching bin. Extrapolate average savings for TMY bins that do not have trend log data. Higher
temperature bins are extrapolated by a linear equation fit to the trend log bins above 60 degrees
and lower temperature bins by a linear equation fit to the bins below 55 degrees.

Saving by Bin. For each TMY bin, multiply the average bin savings by the number of operating hours
in each bin, to get kWh savings in each bin.

Annual Savings. Sum the kWh values across TMY bins.
5. SAMPLING PROCEDURE
The sample of provisional UES projects should capture systems that are frequently implemented and/or
produce significant program savings as well as a representative range of store and/or system conditions
that users of the standard protocol expect to encounter. Load measures and system measures1 have
different inputs and calculation methodologies; thus, the sample should contain a mix of these projects.
Where available, data collection will include whole building interval meter data as well as refrigeration
temperature and pressure trends from the store Energy Management System. (The EMS should be
checked for accuracy.) These data will provide context for store operation during the monitoring period.
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Whole building interval meter data are available in PSE, EWEB, Seattle City Light and Tacoma service
territory on a limited basis.
Sample size will ideally and at minimum be based on an 80 percent confidence level, 20 percent
precision, and a coefficient of variation (CV) of 0.5. It is estimated that 7-sites will need to be evaluated
to calibrate the UES value. This quantity will be re-evaluated after 5-data sets have been collected and
analyzed to ensure appropriate sample size.
6. RELATIONSHIP TO OTHER PROTOCOLS AND GUIDELINES
The relationship between this protocol and other relevant protocols and guidelines is as follows:

International Performance Measurement and Verification Protocol – 2007 (IPMVP), Efficiency
Valuation Organization. This protocol is consistent with Option A - Retrofit Isolation: Key Parameter
Measurement described in the IPMVP, as a number of key parameters are measured (VFD current,
VFD %speed and OAT). The use of default fan performance curves is consistent with this option.

Regression Reference Guide, This protocol uses regression techniques to fit a linear equation to the
measurements of true power and current for the compressor and condenser to extrapolate savings
to temperatures beyond those observed in the trend logging period. The application of these
regression techniques is consistent with the BPA guide.
7. TYPICAL COST OF APPLYING THIS PROTOCOL
Shown below is an estimate of typical cost of applying this protocol.
Item
Hours $ / Hour Rental
Total Cost
Labor
Practitioner
Travel
3
127
381
Scheduling
1
105
105
Facility Operator Interview
1
127
127
Site Inspection
1
127
127
Electrical Measurements
2
127
254
Install/Remove Current Logger
2
127
254
Savings Estimate
4
105
508
QC Review
1
165
165
Travel
2
90
180
Electrical Measurements
2
90
180
Electrician
4
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Item
Hours $ / Hour Rental
Total
Total Cost
$2,281
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