Test January high electric heating

[joseph-robertson]

Pull Request Description

/c/openstudio-3.7.0/bin/openstudio.exe workflow/run_analysis.rb -y project_national/national_baseline_550k_local.yml -o -i 500395 -i 321522 -i 201574 -i 424431 -k

/c/openstudio-3.7.0/bin/openstudio.exe resources/hpxml-measures/workflow/run_simulation.rb -x develop_a847_2020_03182024/xml/Baseline/201574.xml -o 201574 --monthly ALL

Checklist

Not all may apply:

• [ ] Tests (and test files) have been updated
• [ ] Documentation has been updated
  • [ ] If related to resstock-estimation, checklist includes data dictionary, source report, options saturation, options_lookup.
• [ ] Changelog has been updated
• [ ] openstudio tasks.rb update_measures has been run
• [ ] No unexpected regression test changes on CI (checked comparison artifacts)

[joseph-robertson]

Summarized heating design loads and Manual J inputs for the 4 dwelling units:

• Very low heating design temperature (~-17F)
• Some combination of:
  • High ACH50
  • Uninsulated floors/ceiling/walls

Thus heating design load components are quite large, contributing to a large system size. In reality, it's likely uncommon for ND homes to have such housing characteristics.

@rajeee to send additional datapoints that are more typical of a realistic dwelling unit in ND. This will help to understand our target heating design loads.

@joseph-robertson to check what happens when we manually adjust extreme:

• ACH50; decrease by, e.g., 30%
• Insulation levels; incrementally increase to, e.g., R-11, R-13, etc.

How much does the previous contribute to the decrease in heating design loads? Idea: use a precomputed buildstock csv file with manual adjustments in a parametric analysis?