FREE Certified Energy Auditor Energy Audit Data Analysis Questions and Answers

Question 1

An energy auditor develops a linear regression model to predict a building's monthly electricity consumption based on cooling degree days (CDD).
The analysis yields an R-squared (R²) value of 0.85.
How should the auditor interpret this R² value?

Accepted Answer

85% of the variation in electricity consumption can be explained by the variation in cooling degree days.

Answer

The model is 85% accurate in predicting future energy costs.

Answer

The building's cooling system is operating at 85% efficiency.

Answer

There is an 85% probability that the model's predictions will be correct.

Question 2

A facility's utility bill for a 30-day period shows a total consumption of 360,000 kWh and a peak demand of 800 kW. What is the load factor for this period?

Accepted Answer

62.5%

Answer

45.0%

Answer

55.5%

Answer

75.0%

Question 3

An energy auditor is analyzing the natural gas consumption of a building over a year. To compare the heating efficiency between a mild winter and a severe winter, which of the following data analysis techniques is most appropriate?

Accepted Answer

Weather normalization

Answer

Load duration curve analysis

Answer

Power factor analysis

Answer

Interval data logging

Question 4

In a CUSUM (Cumulative Sum of Differences) chart used for energy monitoring, what does a consistent, steep, upward-sloping line indicate?

Accepted Answer

A period of persistent over-consumption of energy relative to the baseline.

Answer

A period of significant energy savings compared to the baseline.

Answer

A period where energy consumption matches the expected baseline model.

Answer

A data collection error requiring recalibration of metering equipment.

Question 5

An energy auditor needs to calculate the Heating Degree Days (HDD) for a day with a high temperature of 55°F and a low temperature of 35°F, using a standard base temperature of 65°F. What is the HDD for that day?

Accepted Answer

20 HDD

Answer

10 HDD

Answer

45 HDD

Answer

0 HDD

Question 6

Which of the following is the primary purpose of using data loggers to measure parameters like temperature, runtime hours, and current draw on specific equipment during an energy audit?

Accepted Answer

To disaggregate total facility energy use and identify specific saving opportunities.

Answer

To negotiate a lower utility rate with the provider.

Answer

To create a detailed inventory of all facility assets.

Answer

To verify the accuracy of the main utility meter.

An energy auditor develops a linear regression model to predict a building's monthly electricity consumption based on cooling degree days (CDD).The analysis yields an R-squared (R²) value of 0.85.How should the auditor interpret this R² value?

An energy auditor develops a linear regression model to predict a building's monthly electricity consumption based on cooling degree days (CDD).
The analysis yields an R-squared (R²) value of 0.85.
How should the auditor interpret this R² value?