CEA Data Analysis & Reporting 2

Question 1

When normalizing energy consumption data for weather variations, which metric is most commonly used?

Accepted Answer

Degree days (heating and cooling)

Answer

Degree days (heating and cooling) are the standard metric for weather-normalizing energy consumption, allowing meaningful comparisons across different climate periods.

Question 2

A facility's energy intensity is best expressed as:

Accepted Answer

BTU per square foot per year

Answer

Energy intensity expressed as BTU per square foot per year normalizes consumption by building size, enabling meaningful benchmarking against similar facilities.

Question 3

Which statistical technique is used to identify the relationship between energy consumption and production output in a manufacturing facility?

Accepted Answer

Linear regression analysis

Answer

Linear regression analysis quantifies the relationship between energy consumption (dependent variable) and production output (independent variable), producing an Energy Performance Indicator.

Question 4

In an energy audit report, the Simple Payback Period (SPP) is calculated as:

Accepted Answer

Implementation cost divided by annual energy savings

Answer

SPP = Implementation Cost ÷ Annual Energy Savings, giving the number of years required to recover the initial investment through energy cost reductions.

Question 5

What does a coefficient of variation (CV) in energy data analysis primarily indicate?

Accepted Answer

The relative variability or dispersion of data around the mean

Answer

The coefficient of variation (CV = standard deviation / mean) indicates the relative dispersion of data, helping analysts assess data reliability and identify anomalous readings.

(CEA) Certified Energy Analyst Practice Test

(CEA) Certified Energy Analyst Practice Test

CEA Data Analysis & Reporting 2