Topic:"Energy Usage Patterns" in M12186

1 Results General Overview - Check savings (in %) for each end use and identify where the major savings lie. Crosscheck with the energy efficiency measure list to validate if the savings claimed make sense. - Verify GJ/m2 and check benchma...

AI summary The text emphasizes verifying energy savings percentages against efficiency measures and checking energy intensity metrics (GJ/m2) with benchmarking data. It highlights the need to account for building-specific factors like underground parking to explain discrepancies in energy usage comparisons.

Define Objectives Determine what the lookback window should achieve, such as reflecting typical usage patterns, operational hours, or accounting for seasonal variations.

AI summary The objective is to define the lookback window's purpose, ensuring it captures typical usage patterns, operational hours, and accounts for seasonal variations in energy consumption.

Analyze Historical Data Look at historical consumption data to identify normal usage patterns and any anomalies.

AI summary The text instructs analyzing historical consumption data to identify normal usage patterns and detect anomalies, emphasizing the importance of understanding baseline energy behavior for effective regulatory decision-making.

Verification of Climate Data Validity Considering that the 1992 ADS study remains the only well-documented study for cold climates, it is still used to establish interactive effects. To ensure that the findings of the ADS study are valid a...

AI summary The document compares Nova Scotia's climate data with Quebec's (Trois-Rivières) to assess the validity of the 1992 ADS study for calculating interactive effects in energy programs. It concludes that while heating seasons differ by 6% and cooling seasons by 22%, these differences are deemed insignificant for applying the ADS study's findings to Nova Scotia.