Hourly methods are a new addition in CalTRACK 2.0 and were not in the first version of CalTRACK. This task involves testing various hourly modeling methods and recommending a standardized approach to hourly modeling, which can reveal the time value of energy efficiency.
Importance of Hourly Methods:
- Hourly methods are a more granular time interval than daily or billing period methods. These granular time intervals are valuable for determining the temporal value of energy savings, by associating savings with grid demand and energy price.
To start the discussion of hourly methods, it is helpful to consider to existing open source tools. Lawrence Berkeley National Lab has developed an open source time of the week and temperature (TOWT) model to calculate hourly energy savings and is part of the RMV2.0 - LBNL M&V2.0 Tool. A TOWT model predicts hourly energy savings by utilizing hourly temperature data instead of daily or billing period HDD and CDD. Another is ECAM (ENERGY CHARTING & METRICS) developed by Bill Koran at SBW consulting.
We look forward to discussion on the working group call about these approaches, and more to frame the approach to empirical tests for the CalTRACK 2.0 hourly methods.
It is important to remember that CalTRACK methods development is an iterative process. The finalized methods for CalTRACK 2.0, just like v. 1.0, will benefit from field deployment and may need to be revised in future years. We expect this process to result in improved and refined methods with successive iterations.
- Review final results for building qualifications and provide final edits
- Review existing tools, practice and concepts for hourly methods
- Discuss and provide suggestions for hourly methods on GitHub
- Attend the bi-weekly meeting on Thursday April 12th at 12:00 (PST)