2.40.00: Updates to Structural Quantity Predictor Models

We’ve updated our structural quantity predictor models to address some underlying issues with how structural emissions are calculated. Additionally, we’ve modified the refrigerants response object to always display values, even when refrigerants are out of scope.
Improved Structural Quantity Models
Previously, structural quantities for Reinforcing Bar and Structural Steel were inconsistently estimated, overestimated in low-rise and underestimated in high-rise buildings. With peer review comments from colleagues at global engineering firms, we updated these models.  Additionally, we’ve improved data coverage for high-rise buildings. Users can see up to a 20% increase in structural emissions and, in fewer cases, a decrease of up to 10%. 
Minor Changes to Refrigerant Data in Response Object
Previously, response.ref_data
 displayed values only when refrigerants were included in the scope of the request (request.scope.B1_6.B1.include = true
). Otherwise, the object would look like this:
response['ref_data'] = {'charge': null,
 'GWP': null,
 'ann_leakage': null,
 'eol_leakage': null,
 'install_leakage': null}
We’ve adjusted this behavior so that these values now display regardless of whether refrigerants are in scope. Note that the scope for refrigerants (B1
) is already set to true
 by default if not explicitly defined, so most users will not need to make additional adjustments.