Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Use of average daily temperatures systemically underreports degree days in some climates #94

Closed
steevschmidt opened this issue May 13, 2018 · 1 comment

Comments

@steevschmidt
Copy link

Background: In regions with large temperature fluctuations during the day (like the SF Bay Area) residential buildings can have significant HVAC energy use during days when the average daily temperature would indicate none should be required. For example, evening and nighttime temperatures can drop well below 60F on days with average temperatures of 65F or higher. Many homes will run their furnace on nights like these. For this reason it is more accurate to calculate HDDs on an hourly basis whenever possible, instead of using average daily temperatures.

Issue: Current CalTRACK methods calculate degree days (DDs) using the same periodicity as the energy data. In the case of natural gas, this means that daily gas data is matched with daily average temperatures for PG&E homes in the SF Bay Area, but hourly electric data is matched with more accurate hourly temperatures. Because of the nonlinearity of DDs, it is more accurate to always use hourly temperature data whenever hourly data is available; otherwise DDs in regions with high daily temperature variations will be systemically underreported, resulting in poor-fit models.

Validation: A reasonable heating balance point temperature is 65F. The attached example shows hourly temperature variation for a day with an average temperature of 65F. The example demonstrates how using daily average temperatures will underestimate degree days: the day's average temperature results in 0 HDD65s, whereas the hourly data results in 2.4 HDD65s, a meaningful difference even for one day. And if this type of daily weather variation occurs year round, the impact can be much more significant.
Hourly vs Daily HDD.xlsx

Requested CalTRACK change: For Daily methods, calculate DDs using hourly weather data whenever it is available. Implementation should be trivial, since the code and data for handling hourly temperate data already exists and is in use for hourly smart meter data.

@steevschmidt
Copy link
Author

[This issue was intended for "Existing Daily Methods Improvements"]

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
CalTRACK Future Improvements Roadmap
Existing Daily Methods Improvements
Development

No branches or pull requests

2 participants