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Weather Normalization

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Weather Normalization Presented by John Avina Abraxas Energy Consulting 19 18 18 11 10 10 10 10 10 10 10 * How Can They Show Savings This Year? The ESCOs Dilemma ... – PowerPoint PPT presentation

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Title: Weather Normalization


1
Weather Normalization Presented by John
Avina Abraxas Energy Consulting
2
OUTLINE
  • Why
  • How
  • Reading Bills to Understand Building
  • Humidity
  • Benchmarking with Normalization

3
Retail in Wisconsin
4
Retail in Wisconsin
5
  • Average Weather.
  • Average of all the high and low temperatures
    during the billing period

6
Retail in Wisconsin
7
Retail in Wisconsin
8
Retail in Wisconsin
9
Retail in Wisconsin
10
Retail in Wisconsin
11
Retail in Florida
12
Retail in Florida
13
Retail in Florida
14
Retail in Florida
Cooling Balance Point 60
15
Retail in Florida
Cooling Balance Point 67
16
Retail in Minnesota
17
Retail in Minnesota
18
College in Boston
19
College in Boston
20
Retail in San Francisco
21
Recap Why Use Weather?
22
M and V Standards
  • International Performance Measurement and
    Verification Protocol

www.ipmvp.org
23
M and V Standards
  • Federal Energy Management Guidelines

http//www.eere.energy.gov/femp/pdfs/26265_seci.pd
f
24
M and V Standards
  • ASHRAE Guideline 14

http//www.ashrae.org
25
IPMVP MV Options
  • 4 Methods of M V
  • Option A - Partially Measured Retrofit Isolation
  • Option B - Retrofit Isolation
  • Option C - Whole (or Part) Building (Utility
    Bills)
  • Option D Calibrated Simulation
  • Methods chosen based upon budget, need for
    accuracy, ECMs installed, Metering Setup

26
IPMVP MV Options
  • Option A - Partially Measured Retrofit Isolation
  • Partial short-term/continuous measurements some
    but not all stipulated
  • For Separable ECM Savings Determination -
    Lighting

27
IPMVP MV Options
  • Option B - Retrofit Isolation
  • Full short-term or continuous field measurement -
    no stipulations
  • For Separable ECM Savings Determination - HVAC
    subsystem

28
IPMVP MV Options
  • Option C - Whole (or Part) Building
  • Full continuous energy use and demand measurement
    during Baseline and Post- Retrofit Periods
  • Collective Savings of all ECMs for Area monitored
    by a Single Meter

29
IPMVP MV Options
  • Option D Calibrated Simulation
  • Computer-based simulation of energy use of
    building components
  • Simulation Calibration, Considerable skills,
    Costly ????

30
MV and Utility Bill Analysis
  • Suppose an ESCO chooses Option C,
  • Utility Bill Analysis...
  • Why would an ESCO want to correct for weather
  • Why Not keep it simple and just compare pre and
    post retrofit bills
  • Billions of Dollars of savings are tracked using
    Option C

31
Why Utility Bills Dont Always Yield Savings?
Suppose an ESCO expected this from a Chiller
Retrofit.
Savings
32
Why Utility Bills Dont Always Yield Savings?
and instead got this.
Increase
33
Seen Him Before?
Why Arent There Any Savings? What Do We Tell
the Customer? Will I Keep My Job? Will I Get My
Bonus?
34
The ESCOs Dilemma
How Can They Show Savings This Year?
35
The ESCOs Dilemma
How Can They Show Savings This Year?
Real Data
Cooling kWh CDD Which means double CDD
? double Cooling kWh
36
Retail in Minnesota
37
How to Perform Weather Normalization
Start with Bills and Weather Data
38
Using Weather toUnderstand Bills
  • Determine How Bills Vary with Weather

Electric used to Heat Cool
Electric used to Cool Only
39
  • Estimate Balance Point

Temperature Sensitive Usage
Non-Temperature Sensitive Usage
Balance Point
Cooling Balance Point is the Temperature at which
the Building Starts to Cool. Low Cooling Balance
Points indicate Outside Air is NOT being used for
Free Cooling.
40
  • Estimate Balance Point

Temperature Sensitive Usage
Non-Temperature Sensitive Usage
Balance Point
Balance Point is the Temperature at which the
Building Starts to Heat.
41
Calculate Cooling Degree Days
  • For each day in Billing period
  • CDDi(Ave Outside Temp - Bal Point Temp) X
    1day
  • Where Ave Outside Temp is the average
    between high and low temperature for the day.
  • And Bal Point Temp (balance point
    temperature) is the balance point found in the
    previous slide.
  • You cannot have negative CDDs
  • 2. CDDBilling Period S(CDDi)

42

Calculate Heating Degree Days
  • For each day in Billing period
  • HDDi(Bal Point Temp - Ave Outside Temp) X
    1day
  • Where Ave Outside Temp is the average
    between high and low temperature for the day.
  • And Bal Point Temp (balance point
    temperature) is the balance point found in the
    previous slide.
  • You cannot have negative HDDs
  • 2. HDDBilling Period S(HDDi)

43

Weather Normalization
Perform a Linear Regression between Energy Usage
and CDD (and/or) HDD. Find the best fit line.
This is the Cooling Balance Point. Cooling
Balance Point is the temperature at which the
building starts cooling.
44
(No Transcript)
45
Normalization Tools
  • You can use Excel or Canned Software
  • There are Several Desktop applications that
    handle weather Normalization, one of which
    specializes in it.

46
Understanding the Baseline
  • Your Fit Line Has an Equation, which is called
    the Baseline Equation

y mx b
which could be rephrased into something like this
kWh 61.986 x CDD 1872.7 x days
47
Energy Balance
Use the Regression Coefficients to True Up Energy
Balance
48
Understanding the Baseline
  • Your Fit Line Has an Equation, which is called
    the Baseline Equation

Baseline Equation Best Fit Line Base Year
Bills So now we can work with the Baseline
Equation and throw out the bills. We dont need
them any more. Baseline Equation represents your
energy usage patterns during your Base Year
49
Understanding the Baseline
  • What Good is the Equation?

We take a Current Year Bill, determine of days
in the bill, determine of CDD (or HDD) and
plug those into the Baseline Equation.
7/21/05 Bill 100,000 kWh 700 CDD 30 days
Baseline kWh 61.986 x CDD 2872.7 x days
Baseline kWh (61.986 x 700) (2872.7 x 30)
Baseline kWh 129,571 kWh
50
Understanding the Baseline
  • What Good is the Equation?

So Baseline kWh represents how much energy your
facility would have used this year given current
weather conditions and Base Year usage
patterns. The Baseline Equation represents Base
Year Usage patterns, and we applied Current Year
weather to it
7/21/05 Bill 100,000 kWh 700 CDD 30 days
Baseline kWh 61.986 x CDD 2872.7 x days
Baseline kWh (61.986 x 700) (2872.7 x 30)
Baseline kWh 129,571 kWh
51
Understanding the Baseline
  • What Good is the Equation?

Savings is Baseline Usage the Actual Bill Usage
Baseline kWh 61.986 x CDD 2872.7 x days
Baseline kWh (61.986 x 700) (2872.7 x 30)
Baseline kWh 129,571 kWh
7/21/05 Bill 100,000 kWh 700 CDD 30 days
Savings Baseline kWh - Actual kWh
Savings 129,571 kWh 100,000 kWh
Savings 29,571 kWh
52
Savings then
Savings Baseline Actual Which is how much
we would have used how much we did use

53
Wait a Second!
You dont have to do all this math!
54
Wait a Second!
55
Reading Bills
temperature sensitive usage
non-temperature sensitive usage
Starts cooling at 46 degrees? Runs on a working
control system Very large non-temperature
sensitive usage
56
Reading Bills
Correlation to HDD Much Noisepoor control
operation or dont understand the meter Starts
heating at 65 F degrees
57
More
  • You Can Normalize with More than Just Weather.
  • Normalize to
  • Production,
  • School Calendar,
  • Occupancy
  • Or Something else

58
Normalizing with Humidity
59
LOAD FACTOR
Load Factor is a measure of demand relative to
usage. It can indicate how the building is
using energy.
60
LOAD FACTOR
61
LOAD FACTOR
  • LF 1 implies uniform levels of use (no high
    peak demand)
  • LF 0.2 implies very high peak demands

LF gives an idea where energy manager
should focus. If LF is high (above .7), focus
on reducing usage, not demand.
kW
Hour of the Day
62
LOAD FACTOR
Billing error?
Change in Usage Pattern
Why is the purple line the highest?
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