A tool for estimating the future energy use, carbon emissions, and capital and operating cost impacts of energy efficiency and demand flexibility technologies in the U.S. residential and commercial building sectors.
Consumers may switch to a heat pump but keep original fuel as backup; the effects of partial remaining fossil fuel use on energy/emissions/costs should be accounted for in the Scout measure preparation module, ecm_prep.
Proposed approach:
Create measures with a “backup_fuel_fraction” parameter that points to supplemental data needed to determine the fraction of remaining original fuel use for the measure.
Develop a CSV for each measure in (a) that specifies remaining backup fuel use fraction (as a % of original total fuel use) by fuel and each region and building type the measure applies to.
Loop through all applicable baseline fuel segments for the measure and run the following adjustments to efficient case data (in partition_microsegment function) for each:
Increase in original fuel energy use = original fuel energy use * relevant fraction from (b)
Decrease in switched fuel energy use = switched fuel energy use * (1 - fraction from (b))
Adjusted efficient energy data = original efficient energy + c.i - c.ii
Repeat step (c) with additional multiplication by emissions factors and energy costs to get adjusted measure efficient emissions and energy cost results
Initially added in commit 68b7de69db1f1175309f57b0311c8c682dfb5c82, with associated measure updates in commit 0723550ad4600fba5e4e2ecddffe1dd2d087a575; needs unit testing.
Consumers may switch to a heat pump but keep original fuel as backup; the effects of partial remaining fossil fuel use on energy/emissions/costs should be accounted for in the Scout measure preparation module, ecm_prep.
Proposed approach: