Thermal load components from BuildStock #524
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jmythms
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Sep 8, 2025
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| RESSTOCK_SEGMENT_TO_CATEGORY = { | ||
| # Windows / skylights | ||
| "windows_conduction": "WIND_COND", | ||
| "skylights_conduction": "WIND_COND", | ||
| "windows_solar": "WIND_SOL", | ||
| "skylights_solar": "WIND_SOL", | ||
| # Roof / ceilings | ||
| "roofs": "ROOF", | ||
| "ceilings": "ROOF", | ||
| # Walls / opaque | ||
| "walls": "WALL", | ||
| "foundation_walls": "WALL", | ||
| "rim_joists": "WALL", | ||
| "doors": "WALL", | ||
| # Infiltration / ventilation | ||
| "infiltration": "INFIL", | ||
| "mechanical_ventilation": "INFIL", | ||
| "natural_ventilation": "INFIL", | ||
| # Ground contact | ||
| "slabs": "GRND", | ||
| "floors": "GRND", | ||
| # Internal/equipment gains | ||
| "internal_gains": "EQUIP", | ||
| "internal_mass": "EQUIP", | ||
| "lighting": "EQUIP", | ||
| "whole_house_fan": "EQUIP", | ||
| "ducts": "EQUIP", | ||
| } |
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Components: Resstock to Scout
jmythms
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Sep 8, 2025
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| BLDG_MAPPING = { | ||
| '50 or more Unit': 'multi family home', | ||
| 'Single-Family Detached': 'single family home', | ||
| 'Single-Family Attached': 'single family home', | ||
| 'Mobile Home': 'mobile home', | ||
| '20 to 49 Unit': 'multi family home', | ||
| '5 to 9 Unit': 'multi family home', | ||
| '3 or 4 Unit': 'multi family home', | ||
| '2 Unit': 'multi family home', | ||
| '10 to 19 Unit': 'multi family home', | ||
| 'nan': None | ||
| } |
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Building types mapping: RESSTOCK to Scout
@jmythms to lump components in ecm_prep.py, mix in people component into internal gains. |
jmythms
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Sep 24, 2025
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| # ============================================================================== | ||
| # COMMERCIAL THERMAL LOADS DATA PROCESSING SCRIPT | ||
| # ============================================================================== | ||
| # This script processes base thermal loads data for commercial buildings and | ||
| # converts it from climate zone-based to census division-based organization | ||
| # for use in building energy modeling and analysis. | ||
| # | ||
| # Input: Com_TLoads_Base.csv - Base thermal loads data by climate zone | ||
| # Output: Com_TLoads_PrepFinal.txt - Processed thermal loads by census division | ||
| # Com_Cdiv_Czone_ConvertTablePrep.txt - Conversion factors | ||
| # Com_Cdiv_Czone_ConvertTablePrep_Rev.txt - Reverse conversion factors | ||
| # ============================================================================== |
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Should we keep the R scripts here?
jmythms
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Sep 24, 2025
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| # =============================================================================== | ||
| # Residential Thermal Loads Processing Script | ||
| # =============================================================================== | ||
| # This script processes residential thermal loads data and creates conversion | ||
| # tables for mapping between census divisions and climate zones. | ||
| # | ||
| # Part 1: Process residential thermal loads by building type and end use | ||
| # Part 2: Create census division to climate zone conversion tables from RECS data | ||
| # =============================================================================== |
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Residential scripts are here.
jmythms
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Sep 24, 2025
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| ALL_COLS = [ | ||
| "Unnamed: 0", | ||
| "building_id", | ||
| "job_id", | ||
| "started_at", | ||
| "completed_at", |
Divide heating and cooling |
|
verify if the other mseg_* files changed or not? |
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This PR will update the current thermal load components data to the latest BuildStock data.
RESSTOCK vs old data comparison: