ERAC ERAC Energy Data Analytics & Reporting 2

Question 1

Which ASHRAE standard provides guidelines for energy auditing levels (Level I, II, and III)?

Accepted Answer

ASHRAE 211

Answer

ASHRAE Standard 211 establishes the three-tiered framework for commercial building energy audits, ranging from a simple walkthrough to detailed energy simulations.

Question 2

What statistical measure is used to evaluate how well a regression model fits the energy baseline data?

Accepted Answer

Coefficient of Variation of Root Mean Square Error (CV-RMSE)

Answer

CV-RMSE is the standard metric used in IPMVP and ASHRAE Guideline 14 to evaluate baseline model quality, with values below 25% typically indicating an acceptable fit.

Question 3

In energy data management, what is the significance of 'interval data' from a smart meter?

Accepted Answer

It provides time-stamped consumption readings at frequent intervals (e.g., 15-minute)

Answer

Interval data captures energy consumption at frequent time intervals (typically 15 or 30 minutes), enabling detailed load profiling and identification of operational patterns.

Question 4

What is 'phantom load' (also called standby power) in energy data analysis?

Accepted Answer

Electricity consumed by devices while in standby or off mode

Answer

Phantom load refers to electricity consumed by electronic devices while they appear to be off or in standby mode, which can represent 5–10% of a building's total consumption.

Question 5

Which data visualization technique is most effective for identifying recurring energy waste patterns across time-of-day and day-of-week dimensions?

Accepted Answer

Heat map (calendar chart) of energy intensity

Answer

A heat map displaying energy intensity across hours of the day and days of the week is the most effective tool for identifying recurring waste patterns such as after-hours operation.

(ERAC) Energy Risk Auditor Certification Practice Test

(ERAC) Energy Risk Auditor Certification Practice Test

ERAC ERAC Energy Data Analytics & Reporting 2