Account for cooling additions under electrification #531
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aspeake
approved these changes
Oct 24, 2025
* Support new measure attribute, “backup_fuel_fraction” that points to a CSV with information about the portion of annual energy use that remains with backup fuels, for dual fuel measures. These data come from the Stock tools, and CSVs for Stock measures have been added in ./ecm_definitions/energyplus_data/dual_fuel_ratios. For example, a measure input could look like this: backup_fuel_fraction: RTU_other_fossil.csv. * Update the function partition_microsegment to report the amount of energy, carbon, and cost that remains with the baseline fuel for a fuel switching measure b/c the measure has not yet switched over that fuel (see ‘add_fs’ variables ending in ‘_base’) vs. the amounts that remain as backup consumption for stock that has switched over to the measure fuel as primary (see ‘add_fs’ variables ending in ‘_switch’). * Handle these more refined estimates of remaining fuel in Measure results breakouts for attribute ‘mseg_out_break’ (via function ‘breakout_mseg’). * Also handle these refinements in MeasurePackage results breakouts for attribute ‘mseg_out_break‘ (via function ‘find_adj_out_break_cats’). * Update test ecm_prep_test to account for new measure attribute.
A bug in the variable used to record and report remaining baseline fuel costs for dual fuel measures was fixed.
* This is a new measure attribute that is useful in handling the 'add_typ_eff' argument properly, and also will be useful in handling code/BPS provisions as that feature is added down the line.
The changes to ecm_prep reflect the following approach to estimate added cooling energy use when homes without existing cooling switch to a heat pump: 1: Loop through measure heating segments and determine/record the # of heating units that convert to heat pumps by region, building type, and building vintage. 2: Loop through measure cooling segments and pull the following data for each region, building type, and vintage combination (in partition_microsegment function): 2.1: Unit-level baseline cooling energy use (MMBtu/base cooling unit) and 2.2: Measure relative cooling performance vs. baseline cooling unit (%). 3: Calculate total added cooling energy (and emissions/costs) for region/building/vintage; added cooling = #1 * #2.1 * #2.2. 4: Add result from #3 to the measure’s efficient results.
The checks were assuming switching to electric tech in some cases, where users may want to represent switches away from electricity.
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This was referenced Oct 27, 2025
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Where to focus your attention:
Overview of approach (addresses #406):
1: Loop through measure heating segments and determine/record the # of heating units that convert to heat pumps by region, building type, and building vintage.
2: Loop through measure cooling segments and pull the following data for each region, building type, and vintage combination (in partition_microsegment function):
2.1: Unit-level baseline cooling energy use (MMBtu/base cooling unit) and
2.2: Measure relative cooling performance vs. baseline cooling unit (%).
3: Calculate total added cooling energy (and emissions/costs) for region/building/vintage; added cooling = 1 * 2.1 * 2.2.
4: Add result from 3 to the measure’s efficient results.