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1 Measurement and Verification of Energy Savings © Copyright Econoler Training Center, 2015
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Page 1: Measurement and Verification of Energy Savings · 2015-05-14 · 12 SAMPLING METHODOLOGY 4. Calculate the initial sample size n 0 is the initial estimate of the required sample size,

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Measurement and Verification of

Energy Savings

© Copyright Econoler Training Center, 2015

Page 2: Measurement and Verification of Energy Savings · 2015-05-14 · 12 SAMPLING METHODOLOGY 4. Calculate the initial sample size n 0 is the initial estimate of the required sample size,

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TRAINING AGENDA

Measurement and Verification

Module 1: M&V and M&V protocol

Module 2: Main concepts associated with M&V activities

Module 3: Option A

Module 4: Option B

Module 5: Planning and reporting and practical

considerations

Module 6: Example: Option A – lighting

Module 7: Example: Option B – pump

Module 8: M&V activities of MC staff

Page 3: Measurement and Verification of Energy Savings · 2015-05-14 · 12 SAMPLING METHODOLOGY 4. Calculate the initial sample size n 0 is the initial estimate of the required sample size,

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Module 6

Option A – Lighting Retrofit

Objective:

Discuss key M&V issues in relation to a lighting

retrofit project using Option A

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OPTION A: RETROFIT ISOLATION

Consider design of an M&V plan for a lighting retrofit using

Option A: “Key parameter measurement”

› Key Parameter: Lighting fixture power

- Sample measurement before and after the retrofit

› Non-key Parameter: Hours of operation - Assumption of lights’ hours of operation

Page 5: Measurement and Verification of Energy Savings · 2015-05-14 · 12 SAMPLING METHODOLOGY 4. Calculate the initial sample size n 0 is the initial estimate of the required sample size,

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The hours of operation are ASSUMED, even though the hours of operation in the baseline are logged.

Light fixtures manufacturer supplies power data which are not field-measured. IPMVP treats such power data as ASSUMED.

To be IPMVP-compliant, the lighting power must be measured.

› The manufacturer data mustn’t be used as the key parameter.

OPTION A: RETROFIT ISOLATION

Page 6: Measurement and Verification of Energy Savings · 2015-05-14 · 12 SAMPLING METHODOLOGY 4. Calculate the initial sample size n 0 is the initial estimate of the required sample size,

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MEASUREMENT BOUNDARY &

INTERACTIVE EFFECTS

Interactive effects

New higher efficiency

fixture

Boundary

Page 7: Measurement and Verification of Energy Savings · 2015-05-14 · 12 SAMPLING METHODOLOGY 4. Calculate the initial sample size n 0 is the initial estimate of the required sample size,

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MEASUREMENT BOUNDARY &

INTERACTIVE EFFECTS

What parameters affect energy use within the boundary?

› Lamp efficiency improvement

› Hours of operation

› A proportion of lamps burned out (baseline period)

What interactive energy effects occur outside the boundary?

› Less cooling

› More heating

Page 8: Measurement and Verification of Energy Savings · 2015-05-14 · 12 SAMPLING METHODOLOGY 4. Calculate the initial sample size n 0 is the initial estimate of the required sample size,

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BASELINE DETERMINATION

It is dificult to make direct measurements in the electrical panel because the lines supplying the lighting fixtures also supply other pieces of equipment.

The parameters required to establish the lighting consumption are:

› Number of lights by type and wattage

› Sample by type, wattage and location

› Power of the sampled lights

Page 9: Measurement and Verification of Energy Savings · 2015-05-14 · 12 SAMPLING METHODOLOGY 4. Calculate the initial sample size n 0 is the initial estimate of the required sample size,

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SAMPLING METHODOLOGY

1. Select a homogeneous population

› If there are two different types of units in the population, they should be grouped and sampled separately.

› In this case, only one type of fixture with the same light bulbs and ballast type / arrangement;

BASELINE DETERMINATION

Page 10: Measurement and Verification of Energy Savings · 2015-05-14 · 12 SAMPLING METHODOLOGY 4. Calculate the initial sample size n 0 is the initial estimate of the required sample size,

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SAMPLING METHODOLOGY

2. Determine the level of precision and confidence

desired

› Precision refers to the error bounds around the true estimate

› Confidence refers to the probability that the estimate will fall in the range of precision.

› Conventional approach: 90% confidence level and ±10% precision.

BASELINE DETERMINATION

Page 11: Measurement and Verification of Energy Savings · 2015-05-14 · 12 SAMPLING METHODOLOGY 4. Calculate the initial sample size n 0 is the initial estimate of the required sample size,

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SAMPLING METHODOLOGY

3. Decide on the level of disaggregation

› Establish whether the confidence and precision level criteria should be applied to the measurement of all components, or to various subgroups of components.

› In this case, only one component

BASELINE DETERMINATION

Page 12: Measurement and Verification of Energy Savings · 2015-05-14 · 12 SAMPLING METHODOLOGY 4. Calculate the initial sample size n 0 is the initial estimate of the required sample size,

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SAMPLING METHODOLOGY

4. Calculate the initial sample size

n0 is the initial estimate of the required sample size, before

sampling begins

cv is the coefficient of variance, defined as the standard deviation

of the readings divided by the mean. Until the actual mean and

standard deviation of the population are estimated from actual

samples, 0.5 may be used as an initial estimate for cv.

e is the desired level of precision.

z is the standard normal distribution value, with an infinite number

of readings, and for the desired confidence level.

BASELINE DETERMINATION

Page 13: Measurement and Verification of Energy Savings · 2015-05-14 · 12 SAMPLING METHODOLOGY 4. Calculate the initial sample size n 0 is the initial estimate of the required sample size,

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SAMPLING METHODOLOGY

4. Calculate the initial sample size

› With a 90% confidence level with 10% precision, and a cv of 0.5:

No = 67

BASELINE DETERMINATION

Page 14: Measurement and Verification of Energy Savings · 2015-05-14 · 12 SAMPLING METHODOLOGY 4. Calculate the initial sample size n 0 is the initial estimate of the required sample size,

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SAMPLING METHODOLOGY

5. Make sample readings

› Calculate and report actual Cv and precision.

BASELINE DETERMINATION

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SAMPLING METHODOLOGY

6. Finalize the sample size

› Because the initial sample size (number of readings) is determined using an assumed cv, it is critical to remember that the actual cv of the population being sampled may be different.

BASELINE DETERMINATION

Page 16: Measurement and Verification of Energy Savings · 2015-05-14 · 12 SAMPLING METHODOLOGY 4. Calculate the initial sample size n 0 is the initial estimate of the required sample size,

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› Measure at randomly selected light switches

› Measure for 1 second before and 1 second after retrofit

Data point Sensor/meter

Power of the sampled lights Power meter

MEASUREMENT

Page 17: Measurement and Verification of Energy Savings · 2015-05-14 · 12 SAMPLING METHODOLOGY 4. Calculate the initial sample size n 0 is the initial estimate of the required sample size,

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The general equation for calculating savings is:

Savings = ( Baseline Period Measured Parameter – Reporting-Period

Measured parameter) * Estimated Value ± Interactive Effects

The energy saving calculation for a lighting fixture is:

Savings = ( Baseline Period Power – Reporting-Period Power) *

Hours of Operation± Interactive Effects

TYPES OF SAVINGS

Page 18: Measurement and Verification of Energy Savings · 2015-05-14 · 12 SAMPLING METHODOLOGY 4. Calculate the initial sample size n 0 is the initial estimate of the required sample size,

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› 100 hrs/month of operation in the savings reporting period, based on a measurement in the baseline

› 5% of lamps/ballasts are burned out at any time

› Cooling demand reduction is assumed to be about 3% of the savings from the reduction in fixture wattage;

ASSUMPTIONS

Page 19: Measurement and Verification of Energy Savings · 2015-05-14 · 12 SAMPLING METHODOLOGY 4. Calculate the initial sample size n 0 is the initial estimate of the required sample size,

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Baseline Post-retrofit

Number of fixtures 2,000 1,950

No. of Fixtures in Sample 73 30

Measured average power per sample

fixture

185.6 W 103.4 W

MEASUREMENT AND SAMPLE SIZE

Page 20: Measurement and Verification of Energy Savings · 2015-05-14 · 12 SAMPLING METHODOLOGY 4. Calculate the initial sample size n 0 is the initial estimate of the required sample size,

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Total Fixture Load (kW) =

Measured Average Power * Total Number of Fixtures *

Percentage of Operational Fixtures

Baseline total load (kW) =

185.6 Watts /1000 Watts / kilo Watt * 2000 fixtures * 95 % operational

Baseline total load (kW) = 352.6 kW

Post-retrofit load (kW) = 103.4 W/1000 * 1950 * 0.95

Post-retrofit load (kW) = 191.5 kW

SAVINGS CALCULATION

Page 21: Measurement and Verification of Energy Savings · 2015-05-14 · 12 SAMPLING METHODOLOGY 4. Calculate the initial sample size n 0 is the initial estimate of the required sample size,

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Load Reduction

Load Reduction = 352.6 – 191.5 = 161.1 kW

Interactive Effects – Reduction of Cooling Load

Interactive Effects (kW) = 161.1 * 0.03 = 32.2 kW

SAVINGS CALCULATION

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Monthly Consumption Savings

Monthly Consumption Savings =

(Load Reduction + Reduction of Cooling Load) * Estimated

Hours of Operation

Monthly Consumption Savings =

(161.1 + 32.2) * 100 = 19,330 kWh/month

SAVINGS CALCULATION


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