diff --git a/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) Low EE Load Control.json b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) Low EE Load Control.json new file mode 100644 index 00000000..142a8c8a --- /dev/null +++ b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) Low EE Load Control.json @@ -0,0 +1,132 @@ +{ + "name": "(R) ESTAR HP FS (NG Furnace)", + "_description": "ENERGY STAR air source heat pump (w/ cold climates specs as applicable) fully replacing original gas furnace equipment", + "measure_type": "full service", + "market_entry_year": 2024, + "market_exit_year": null, + "climate_zone": "all", + "bldg_type": "all residential", + "structure_type": "all", + "panel_upgrade": ["Low EE upgrade", "Space/load control"], + "end_use": [ + "heating", + "cooling" + ], + "fuel_type": [ + "natural gas", + "electricity" + ], + "fuel_switch_to": "electricity", + "backup_fuel_fraction": null, + "technology": [ + "furnace (NG)", + "central AC", + "room AC" + ], + "htcl_tech_link": "ng furnace+cac&rac", + "tech_switch_to": "ASHP", + "energy_efficiency": { + "cold climates": { + "heating": 2.79, + "cooling": 4.69 + }, + "warm climates": { + "heating": 2.69, + "cooling": 4.69 + } + }, + "energy_efficiency_units": "COP", + "energy_efficiency_source": { + "notes": [ + "Split system ducted (see Tables 2 (warm climates) and 3 (cold climates) in EPA source)", + "conversion from original standard: COP = SEER / 3.412, COP = HSPF / 3.412 (see EIA source)", + "split system conversion factors SEER2/SEER = 0.95, HSPF2/HSPF = 0.85 (see RESNET source)" + ], + "source_data": [ + { + "title": "ENERGY STAR Program Requirements Product Specification for Central Air Conditioner and Heat Pump Equipment Version 6.1", + "author": "U.S. Environmental Protection Agency", + "year": 2022, + "pages": 4, + "url": "https://www.energystar.gov/sites/default/files/asset/document/ENERGY%20STAR%20Version%206.1%20Central%20Air%20Conditioner%20and%20Heat%20Pump%20Final%20Specification%20%28Rev.%20January%20%202022%29.pdf" + }, + { + "title": "Draft PDS:01, MINHERS Addendum 71, SEER2/HSPF2 Conversions", + "author": "RESNET", + "year": 2022, + "pages": 2, + "url": "https://www.resnet.us/about/standards/minhers/draft:pds:01:minhers:addendum:71:seer2:hspf2:conversions/" + }, + { + "title": "Residential Demand Module of the National Energy Modeling System: Model Documentation 2014", + "author": "U.S. Energy Information Administration", + "year": 2014, + "pages": 17, + "url": "https://www.eia.gov/outlooks/aeo/nems/documentation/archive/pdf/m067(2014).pdf" + } + ] + }, + "installed_cost": { + "electricity": 0.0, + "natural gas": { + "new": 4380.0, + "existing": 13940.0 + } + }, + "cost_units": "2022$/unit", + "installed_cost_source": { + "notes": [ + "Retail (new) and total installed (existing) cost for ENERGY STAR ASHPs in 2023", + "For existing buildings, added costs of $6300 are the average of the cost range for circuit breaker panel upgrade and home service upgrade costs in the NV5 report", + "a new circuit cost of 700 $2022 using the upper bound (assuming a high amperage 240V circuit is required for the HVAC system) from the NV5 report." + ], + "source_data": [ + { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + }, + { + "title": "Service Upgrades for Electrification Retrofits Study Final Report", + "author": "NV5 and Redwood Energy", + "year": 2022, + "pages": 33, + "url": "https://pda.energydataweb.com/api/view/2635/Service%20Upgrades%20for%20Electrification%20Retrofits%20Study%20FINAL.pdf" + } + ] + }, + "product_lifetime": 15.0, + "product_lifetime_units": "years", + "product_lifetime_source": { + "notes": "Average of the ENERGY STAR range", + "source_data": { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + } + }, + "market_scaling_fractions": { + "heating": 0.9, + "cooling": 0.49 + }, + "market_scaling_fractions_source": { + "notes": "Heating multiple of 90% was determined as proportion of total homes with gas heating that have both cooling and heating systems (8,624 homes out of 9,595 homes with gas heating). Cooling multiple of 49% was determined as a proportion of total homes with a cooling system (16,171 homes) where there is heating via natural gas other than steam/hot water (7,845 homes).", + "source_data": { + "title": "RECS 2020 Microdata", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": null, + "url": "https://www.eia.gov/consumption/residential/data/2020/index.php?view=microdata" + } + }, + "_updated_by": { + "name": "Jared Langevin", + "organization": "LBNL", + "email": "jared.langevin@lbl.gov", + "timestamp": "2024-06-11 13:55:11" + } +} \ No newline at end of file diff --git a/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) Low EE No Panel.json b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) Low EE No Panel.json new file mode 100644 index 00000000..366532c7 --- /dev/null +++ b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) Low EE No Panel.json @@ -0,0 +1,132 @@ +{ + "name": "(R) ESTAR HP FS (NG Furnace)", + "_description": "ENERGY STAR air source heat pump (w/ cold climates specs as applicable) fully replacing original gas furnace equipment", + "measure_type": "full service", + "market_entry_year": 2024, + "market_exit_year": null, + "climate_zone": "all", + "bldg_type": "all residential", + "structure_type": "all", + "panel_upgrade": ["Low EE upgrade", "No panel management"], + "end_use": [ + "heating", + "cooling" + ], + "fuel_type": [ + "natural gas", + "electricity" + ], + "fuel_switch_to": "electricity", + "backup_fuel_fraction": null, + "technology": [ + "furnace (NG)", + "central AC", + "room AC" + ], + "htcl_tech_link": "ng furnace+cac&rac", + "tech_switch_to": "ASHP", + "energy_efficiency": { + "cold climates": { + "heating": 2.79, + "cooling": 4.69 + }, + "warm climates": { + "heating": 2.69, + "cooling": 4.69 + } + }, + "energy_efficiency_units": "COP", + "energy_efficiency_source": { + "notes": [ + "Split system ducted (see Tables 2 (warm climates) and 3 (cold climates) in EPA source)", + "conversion from original standard: COP = SEER / 3.412, COP = HSPF / 3.412 (see EIA source)", + "split system conversion factors SEER2/SEER = 0.95, HSPF2/HSPF = 0.85 (see RESNET source)" + ], + "source_data": [ + { + "title": "ENERGY STAR Program Requirements Product Specification for Central Air Conditioner and Heat Pump Equipment Version 6.1", + "author": "U.S. Environmental Protection Agency", + "year": 2022, + "pages": 4, + "url": "https://www.energystar.gov/sites/default/files/asset/document/ENERGY%20STAR%20Version%206.1%20Central%20Air%20Conditioner%20and%20Heat%20Pump%20Final%20Specification%20%28Rev.%20January%20%202022%29.pdf" + }, + { + "title": "Draft PDS:01, MINHERS Addendum 71, SEER2/HSPF2 Conversions", + "author": "RESNET", + "year": 2022, + "pages": 2, + "url": "https://www.resnet.us/about/standards/minhers/draft:pds:01:minhers:addendum:71:seer2:hspf2:conversions/" + }, + { + "title": "Residential Demand Module of the National Energy Modeling System: Model Documentation 2014", + "author": "U.S. Energy Information Administration", + "year": 2014, + "pages": 17, + "url": "https://www.eia.gov/outlooks/aeo/nems/documentation/archive/pdf/m067(2014).pdf" + } + ] + }, + "installed_cost": { + "electricity": 0.0, + "natural gas": { + "new": 4380.0, + "existing": 13940.0 + } + }, + "cost_units": "2022$/unit", + "installed_cost_source": { + "notes": [ + "Retail (new) and total installed (existing) cost for ENERGY STAR ASHPs in 2023", + "For existing buildings, added costs of $6300 are the average of the cost range for circuit breaker panel upgrade and home service upgrade costs in the NV5 report", + "a new circuit cost of 700 $2022 using the upper bound (assuming a high amperage 240V circuit is required for the HVAC system) from the NV5 report." + ], + "source_data": [ + { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + }, + { + "title": "Service Upgrades for Electrification Retrofits Study Final Report", + "author": "NV5 and Redwood Energy", + "year": 2022, + "pages": 33, + "url": "https://pda.energydataweb.com/api/view/2635/Service%20Upgrades%20for%20Electrification%20Retrofits%20Study%20FINAL.pdf" + } + ] + }, + "product_lifetime": 15.0, + "product_lifetime_units": "years", + "product_lifetime_source": { + "notes": "Average of the ENERGY STAR range", + "source_data": { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + } + }, + "market_scaling_fractions": { + "heating": 0.9, + "cooling": 0.49 + }, + "market_scaling_fractions_source": { + "notes": "Heating multiple of 90% was determined as proportion of total homes with gas heating that have both cooling and heating systems (8,624 homes out of 9,595 homes with gas heating). Cooling multiple of 49% was determined as a proportion of total homes with a cooling system (16,171 homes) where there is heating via natural gas other than steam/hot water (7,845 homes).", + "source_data": { + "title": "RECS 2020 Microdata", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": null, + "url": "https://www.eia.gov/consumption/residential/data/2020/index.php?view=microdata" + } + }, + "_updated_by": { + "name": "Jared Langevin", + "organization": "LBNL", + "email": "jared.langevin@lbl.gov", + "timestamp": "2024-06-11 13:55:11" + } +} \ No newline at end of file diff --git a/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) Low EE Panel Upg.json b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) Low EE Panel Upg.json new file mode 100644 index 00000000..ee022031 --- /dev/null +++ b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) Low EE Panel Upg.json @@ -0,0 +1,132 @@ +{ + "name": "(R) ESTAR HP FS (NG Furnace)", + "_description": "ENERGY STAR air source heat pump (w/ cold climates specs as applicable) fully replacing original gas furnace equipment", + "measure_type": "full service", + "market_entry_year": 2024, + "market_exit_year": null, + "climate_zone": "all", + "bldg_type": "all residential", + "structure_type": "all", + "panel_upgrade": ["Low EE upgrade", "Panel replacement"], + "end_use": [ + "heating", + "cooling" + ], + "fuel_type": [ + "natural gas", + "electricity" + ], + "fuel_switch_to": "electricity", + "backup_fuel_fraction": null, + "technology": [ + "furnace (NG)", + "central AC", + "room AC" + ], + "htcl_tech_link": "ng furnace+cac&rac", + "tech_switch_to": "ASHP", + "energy_efficiency": { + "cold climates": { + "heating": 2.79, + "cooling": 4.69 + }, + "warm climates": { + "heating": 2.69, + "cooling": 4.69 + } + }, + "energy_efficiency_units": "COP", + "energy_efficiency_source": { + "notes": [ + "Split system ducted (see Tables 2 (warm climates) and 3 (cold climates) in EPA source)", + "conversion from original standard: COP = SEER / 3.412, COP = HSPF / 3.412 (see EIA source)", + "split system conversion factors SEER2/SEER = 0.95, HSPF2/HSPF = 0.85 (see RESNET source)" + ], + "source_data": [ + { + "title": "ENERGY STAR Program Requirements Product Specification for Central Air Conditioner and Heat Pump Equipment Version 6.1", + "author": "U.S. Environmental Protection Agency", + "year": 2022, + "pages": 4, + "url": "https://www.energystar.gov/sites/default/files/asset/document/ENERGY%20STAR%20Version%206.1%20Central%20Air%20Conditioner%20and%20Heat%20Pump%20Final%20Specification%20%28Rev.%20January%20%202022%29.pdf" + }, + { + "title": "Draft PDS:01, MINHERS Addendum 71, SEER2/HSPF2 Conversions", + "author": "RESNET", + "year": 2022, + "pages": 2, + "url": "https://www.resnet.us/about/standards/minhers/draft:pds:01:minhers:addendum:71:seer2:hspf2:conversions/" + }, + { + "title": "Residential Demand Module of the National Energy Modeling System: Model Documentation 2014", + "author": "U.S. Energy Information Administration", + "year": 2014, + "pages": 17, + "url": "https://www.eia.gov/outlooks/aeo/nems/documentation/archive/pdf/m067(2014).pdf" + } + ] + }, + "installed_cost": { + "electricity": 0.0, + "natural gas": { + "new": 4380.0, + "existing": 13940.0 + } + }, + "cost_units": "2022$/unit", + "installed_cost_source": { + "notes": [ + "Retail (new) and total installed (existing) cost for ENERGY STAR ASHPs in 2023", + "For existing buildings, added costs of $6300 are the average of the cost range for circuit breaker panel upgrade and home service upgrade costs in the NV5 report", + "a new circuit cost of 700 $2022 using the upper bound (assuming a high amperage 240V circuit is required for the HVAC system) from the NV5 report." + ], + "source_data": [ + { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + }, + { + "title": "Service Upgrades for Electrification Retrofits Study Final Report", + "author": "NV5 and Redwood Energy", + "year": 2022, + "pages": 33, + "url": "https://pda.energydataweb.com/api/view/2635/Service%20Upgrades%20for%20Electrification%20Retrofits%20Study%20FINAL.pdf" + } + ] + }, + "product_lifetime": 15.0, + "product_lifetime_units": "years", + "product_lifetime_source": { + "notes": "Average of the ENERGY STAR range", + "source_data": { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + } + }, + "market_scaling_fractions": { + "heating": 0.9, + "cooling": 0.49 + }, + "market_scaling_fractions_source": { + "notes": "Heating multiple of 90% was determined as proportion of total homes with gas heating that have both cooling and heating systems (8,624 homes out of 9,595 homes with gas heating). Cooling multiple of 49% was determined as a proportion of total homes with a cooling system (16,171 homes) where there is heating via natural gas other than steam/hot water (7,845 homes).", + "source_data": { + "title": "RECS 2020 Microdata", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": null, + "url": "https://www.eia.gov/consumption/residential/data/2020/index.php?view=microdata" + } + }, + "_updated_by": { + "name": "Jared Langevin", + "organization": "LBNL", + "email": "jared.langevin@lbl.gov", + "timestamp": "2024-06-11 13:55:11" + } +} \ No newline at end of file diff --git a/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) high eff management.json b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) high eff management.json new file mode 100644 index 00000000..e7ca0698 --- /dev/null +++ b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) high eff management.json @@ -0,0 +1,132 @@ +{ + "name": "(R) ESTAR HP FS (NG Furnace)", + "_description": "ENERGY STAR air source heat pump (w/ cold climates specs as applicable) fully replacing original gas furnace equipment", + "measure_type": "full service", + "market_entry_year": 2024, + "market_exit_year": null, + "climate_zone": "all", + "bldg_type": "all residential", + "structure_type": "all", + "panel_upgrade": ["high efficiency upgrade", "panel management"], + "end_use": [ + "heating", + "cooling" + ], + "fuel_type": [ + "natural gas", + "electricity" + ], + "fuel_switch_to": "electricity", + "backup_fuel_fraction": null, + "technology": [ + "furnace (NG)", + "central AC", + "room AC" + ], + "htcl_tech_link": "ng furnace+cac&rac", + "tech_switch_to": "ASHP", + "energy_efficiency": { + "cold climates": { + "heating": 2.79, + "cooling": 4.69 + }, + "warm climates": { + "heating": 2.69, + "cooling": 4.69 + } + }, + "energy_efficiency_units": "COP", + "energy_efficiency_source": { + "notes": [ + "Split system ducted (see Tables 2 (warm climates) and 3 (cold climates) in EPA source)", + "conversion from original standard: COP = SEER / 3.412, COP = HSPF / 3.412 (see EIA source)", + "split system conversion factors SEER2/SEER = 0.95, HSPF2/HSPF = 0.85 (see RESNET source)" + ], + "source_data": [ + { + "title": "ENERGY STAR Program Requirements Product Specification for Central Air Conditioner and Heat Pump Equipment Version 6.1", + "author": "U.S. Environmental Protection Agency", + "year": 2022, + "pages": 4, + "url": "https://www.energystar.gov/sites/default/files/asset/document/ENERGY%20STAR%20Version%206.1%20Central%20Air%20Conditioner%20and%20Heat%20Pump%20Final%20Specification%20%28Rev.%20January%20%202022%29.pdf" + }, + { + "title": "Draft PDS:01, MINHERS Addendum 71, SEER2/HSPF2 Conversions", + "author": "RESNET", + "year": 2022, + "pages": 2, + "url": "https://www.resnet.us/about/standards/minhers/draft:pds:01:minhers:addendum:71:seer2:hspf2:conversions/" + }, + { + "title": "Residential Demand Module of the National Energy Modeling System: Model Documentation 2014", + "author": "U.S. Energy Information Administration", + "year": 2014, + "pages": 17, + "url": "https://www.eia.gov/outlooks/aeo/nems/documentation/archive/pdf/m067(2014).pdf" + } + ] + }, + "installed_cost": { + "electricity": 0.0, + "natural gas": { + "new": 4380.0, + "existing": 13940.0 + } + }, + "cost_units": "2022$/unit", + "installed_cost_source": { + "notes": [ + "Retail (new) and total installed (existing) cost for ENERGY STAR ASHPs in 2023", + "For existing buildings, added costs of $6300 are the average of the cost range for circuit breaker panel upgrade and home service upgrade costs in the NV5 report", + "a new circuit cost of 700 $2022 using the upper bound (assuming a high amperage 240V circuit is required for the HVAC system) from the NV5 report." + ], + "source_data": [ + { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + }, + { + "title": "Service Upgrades for Electrification Retrofits Study Final Report", + "author": "NV5 and Redwood Energy", + "year": 2022, + "pages": 33, + "url": "https://pda.energydataweb.com/api/view/2635/Service%20Upgrades%20for%20Electrification%20Retrofits%20Study%20FINAL.pdf" + } + ] + }, + "product_lifetime": 15.0, + "product_lifetime_units": "years", + "product_lifetime_source": { + "notes": "Average of the ENERGY STAR range", + "source_data": { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + } + }, + "market_scaling_fractions": { + "heating": 0.9, + "cooling": 0.49 + }, + "market_scaling_fractions_source": { + "notes": "Heating multiple of 90% was determined as proportion of total homes with gas heating that have both cooling and heating systems (8,624 homes out of 9,595 homes with gas heating). Cooling multiple of 49% was determined as a proportion of total homes with a cooling system (16,171 homes) where there is heating via natural gas other than steam/hot water (7,845 homes).", + "source_data": { + "title": "RECS 2020 Microdata", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": null, + "url": "https://www.eia.gov/consumption/residential/data/2020/index.php?view=microdata" + } + }, + "_updated_by": { + "name": "Jared Langevin", + "organization": "LBNL", + "email": "jared.langevin@lbl.gov", + "timestamp": "2024-06-11 13:55:11" + } +} \ No newline at end of file diff --git a/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) high eff no panel.json b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) high eff no panel.json new file mode 100644 index 00000000..1128ed3b --- /dev/null +++ b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) high eff no panel.json @@ -0,0 +1,132 @@ +{ + "name": "(R) ESTAR HP FS (NG Furnace)", + "_description": "ENERGY STAR air source heat pump (w/ cold climates specs as applicable) fully replacing original gas furnace equipment", + "measure_type": "full service", + "market_entry_year": 2024, + "market_exit_year": null, + "climate_zone": "all", + "bldg_type": "all residential", + "structure_type": "all", + "panel_upgrade": ["high efficiency upgrade", "no panel management"], + "end_use": [ + "heating", + "cooling" + ], + "fuel_type": [ + "natural gas", + "electricity" + ], + "fuel_switch_to": "electricity", + "backup_fuel_fraction": null, + "technology": [ + "furnace (NG)", + "central AC", + "room AC" + ], + "htcl_tech_link": "ng furnace+cac&rac", + "tech_switch_to": "ASHP", + "energy_efficiency": { + "cold climates": { + "heating": 2.79, + "cooling": 4.69 + }, + "warm climates": { + "heating": 2.69, + "cooling": 4.69 + } + }, + "energy_efficiency_units": "COP", + "energy_efficiency_source": { + "notes": [ + "Split system ducted (see Tables 2 (warm climates) and 3 (cold climates) in EPA source)", + "conversion from original standard: COP = SEER / 3.412, COP = HSPF / 3.412 (see EIA source)", + "split system conversion factors SEER2/SEER = 0.95, HSPF2/HSPF = 0.85 (see RESNET source)" + ], + "source_data": [ + { + "title": "ENERGY STAR Program Requirements Product Specification for Central Air Conditioner and Heat Pump Equipment Version 6.1", + "author": "U.S. Environmental Protection Agency", + "year": 2022, + "pages": 4, + "url": "https://www.energystar.gov/sites/default/files/asset/document/ENERGY%20STAR%20Version%206.1%20Central%20Air%20Conditioner%20and%20Heat%20Pump%20Final%20Specification%20%28Rev.%20January%20%202022%29.pdf" + }, + { + "title": "Draft PDS:01, MINHERS Addendum 71, SEER2/HSPF2 Conversions", + "author": "RESNET", + "year": 2022, + "pages": 2, + "url": "https://www.resnet.us/about/standards/minhers/draft:pds:01:minhers:addendum:71:seer2:hspf2:conversions/" + }, + { + "title": "Residential Demand Module of the National Energy Modeling System: Model Documentation 2014", + "author": "U.S. Energy Information Administration", + "year": 2014, + "pages": 17, + "url": "https://www.eia.gov/outlooks/aeo/nems/documentation/archive/pdf/m067(2014).pdf" + } + ] + }, + "installed_cost": { + "electricity": 0.0, + "natural gas": { + "new": 4380.0, + "existing": 13940.0 + } + }, + "cost_units": "2022$/unit", + "installed_cost_source": { + "notes": [ + "Retail (new) and total installed (existing) cost for ENERGY STAR ASHPs in 2023", + "For existing buildings, added costs of $6300 are the average of the cost range for circuit breaker panel upgrade and home service upgrade costs in the NV5 report", + "a new circuit cost of 700 $2022 using the upper bound (assuming a high amperage 240V circuit is required for the HVAC system) from the NV5 report." + ], + "source_data": [ + { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + }, + { + "title": "Service Upgrades for Electrification Retrofits Study Final Report", + "author": "NV5 and Redwood Energy", + "year": 2022, + "pages": 33, + "url": "https://pda.energydataweb.com/api/view/2635/Service%20Upgrades%20for%20Electrification%20Retrofits%20Study%20FINAL.pdf" + } + ] + }, + "product_lifetime": 15.0, + "product_lifetime_units": "years", + "product_lifetime_source": { + "notes": "Average of the ENERGY STAR range", + "source_data": { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + } + }, + "market_scaling_fractions": { + "heating": 0.9, + "cooling": 0.49 + }, + "market_scaling_fractions_source": { + "notes": "Heating multiple of 90% was determined as proportion of total homes with gas heating that have both cooling and heating systems (8,624 homes out of 9,595 homes with gas heating). Cooling multiple of 49% was determined as a proportion of total homes with a cooling system (16,171 homes) where there is heating via natural gas other than steam/hot water (7,845 homes).", + "source_data": { + "title": "RECS 2020 Microdata", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": null, + "url": "https://www.eia.gov/consumption/residential/data/2020/index.php?view=microdata" + } + }, + "_updated_by": { + "name": "Jared Langevin", + "organization": "LBNL", + "email": "jared.langevin@lbl.gov", + "timestamp": "2024-06-11 13:55:11" + } +} \ No newline at end of file diff --git a/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) high eff replacement.json b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) high eff replacement.json new file mode 100644 index 00000000..0036d8ff --- /dev/null +++ b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) high eff replacement.json @@ -0,0 +1,132 @@ +{ + "name": "(R) ESTAR HP FS (NG Furnace)", + "_description": "ENERGY STAR air source heat pump (w/ cold climates specs as applicable) fully replacing original gas furnace equipment", + "measure_type": "full service", + "market_entry_year": 2024, + "market_exit_year": null, + "climate_zone": "all", + "bldg_type": "all residential", + "structure_type": "all", + "panel_upgrade": ["high efficiency upgrade", "panel replacement"], + "end_use": [ + "heating", + "cooling" + ], + "fuel_type": [ + "natural gas", + "electricity" + ], + "fuel_switch_to": "electricity", + "backup_fuel_fraction": null, + "technology": [ + "furnace (NG)", + "central AC", + "room AC" + ], + "htcl_tech_link": "ng furnace+cac&rac", + "tech_switch_to": "ASHP", + "energy_efficiency": { + "cold climates": { + "heating": 2.79, + "cooling": 4.69 + }, + "warm climates": { + "heating": 2.69, + "cooling": 4.69 + } + }, + "energy_efficiency_units": "COP", + "energy_efficiency_source": { + "notes": [ + "Split system ducted (see Tables 2 (warm climates) and 3 (cold climates) in EPA source)", + "conversion from original standard: COP = SEER / 3.412, COP = HSPF / 3.412 (see EIA source)", + "split system conversion factors SEER2/SEER = 0.95, HSPF2/HSPF = 0.85 (see RESNET source)" + ], + "source_data": [ + { + "title": "ENERGY STAR Program Requirements Product Specification for Central Air Conditioner and Heat Pump Equipment Version 6.1", + "author": "U.S. Environmental Protection Agency", + "year": 2022, + "pages": 4, + "url": "https://www.energystar.gov/sites/default/files/asset/document/ENERGY%20STAR%20Version%206.1%20Central%20Air%20Conditioner%20and%20Heat%20Pump%20Final%20Specification%20%28Rev.%20January%20%202022%29.pdf" + }, + { + "title": "Draft PDS:01, MINHERS Addendum 71, SEER2/HSPF2 Conversions", + "author": "RESNET", + "year": 2022, + "pages": 2, + "url": "https://www.resnet.us/about/standards/minhers/draft:pds:01:minhers:addendum:71:seer2:hspf2:conversions/" + }, + { + "title": "Residential Demand Module of the National Energy Modeling System: Model Documentation 2014", + "author": "U.S. Energy Information Administration", + "year": 2014, + "pages": 17, + "url": "https://www.eia.gov/outlooks/aeo/nems/documentation/archive/pdf/m067(2014).pdf" + } + ] + }, + "installed_cost": { + "electricity": 0.0, + "natural gas": { + "new": 4380.0, + "existing": 13940.0 + } + }, + "cost_units": "2022$/unit", + "installed_cost_source": { + "notes": [ + "Retail (new) and total installed (existing) cost for ENERGY STAR ASHPs in 2023", + "For existing buildings, added costs of $6300 are the average of the cost range for circuit breaker panel upgrade and home service upgrade costs in the NV5 report", + "a new circuit cost of 700 $2022 using the upper bound (assuming a high amperage 240V circuit is required for the HVAC system) from the NV5 report." + ], + "source_data": [ + { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + }, + { + "title": "Service Upgrades for Electrification Retrofits Study Final Report", + "author": "NV5 and Redwood Energy", + "year": 2022, + "pages": 33, + "url": "https://pda.energydataweb.com/api/view/2635/Service%20Upgrades%20for%20Electrification%20Retrofits%20Study%20FINAL.pdf" + } + ] + }, + "product_lifetime": 15.0, + "product_lifetime_units": "years", + "product_lifetime_source": { + "notes": "Average of the ENERGY STAR range", + "source_data": { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + } + }, + "market_scaling_fractions": { + "heating": 0.9, + "cooling": 0.49 + }, + "market_scaling_fractions_source": { + "notes": "Heating multiple of 90% was determined as proportion of total homes with gas heating that have both cooling and heating systems (8,624 homes out of 9,595 homes with gas heating). Cooling multiple of 49% was determined as a proportion of total homes with a cooling system (16,171 homes) where there is heating via natural gas other than steam/hot water (7,845 homes).", + "source_data": { + "title": "RECS 2020 Microdata", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": null, + "url": "https://www.eia.gov/consumption/residential/data/2020/index.php?view=microdata" + } + }, + "_updated_by": { + "name": "Jared Langevin", + "organization": "LBNL", + "email": "jared.langevin@lbl.gov", + "timestamp": "2024-06-11 13:55:11" + } +} \ No newline at end of file diff --git a/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) low eff management.json b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) low eff management.json new file mode 100644 index 00000000..2652cff7 --- /dev/null +++ b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) low eff management.json @@ -0,0 +1,132 @@ +{ + "name": "(R) ESTAR HP FS (NG Furnace)", + "_description": "ENERGY STAR air source heat pump (w/ cold climates specs as applicable) fully replacing original gas furnace equipment", + "measure_type": "full service", + "market_entry_year": 2024, + "market_exit_year": null, + "climate_zone": "all", + "bldg_type": "all residential", + "structure_type": "all", + "panel_upgrade": ["low efficiency upgrade", "panel management"], + "end_use": [ + "heating", + "cooling" + ], + "fuel_type": [ + "natural gas", + "electricity" + ], + "fuel_switch_to": "electricity", + "backup_fuel_fraction": null, + "technology": [ + "furnace (NG)", + "central AC", + "room AC" + ], + "htcl_tech_link": "ng furnace+cac&rac", + "tech_switch_to": "ASHP", + "energy_efficiency": { + "cold climates": { + "heating": 2.79, + "cooling": 4.69 + }, + "warm climates": { + "heating": 2.69, + "cooling": 4.69 + } + }, + "energy_efficiency_units": "COP", + "energy_efficiency_source": { + "notes": [ + "Split system ducted (see Tables 2 (warm climates) and 3 (cold climates) in EPA source)", + "conversion from original standard: COP = SEER / 3.412, COP = HSPF / 3.412 (see EIA source)", + "split system conversion factors SEER2/SEER = 0.95, HSPF2/HSPF = 0.85 (see RESNET source)" + ], + "source_data": [ + { + "title": "ENERGY STAR Program Requirements Product Specification for Central Air Conditioner and Heat Pump Equipment Version 6.1", + "author": "U.S. Environmental Protection Agency", + "year": 2022, + "pages": 4, + "url": "https://www.energystar.gov/sites/default/files/asset/document/ENERGY%20STAR%20Version%206.1%20Central%20Air%20Conditioner%20and%20Heat%20Pump%20Final%20Specification%20%28Rev.%20January%20%202022%29.pdf" + }, + { + "title": "Draft PDS:01, MINHERS Addendum 71, SEER2/HSPF2 Conversions", + "author": "RESNET", + "year": 2022, + "pages": 2, + "url": "https://www.resnet.us/about/standards/minhers/draft:pds:01:minhers:addendum:71:seer2:hspf2:conversions/" + }, + { + "title": "Residential Demand Module of the National Energy Modeling System: Model Documentation 2014", + "author": "U.S. Energy Information Administration", + "year": 2014, + "pages": 17, + "url": "https://www.eia.gov/outlooks/aeo/nems/documentation/archive/pdf/m067(2014).pdf" + } + ] + }, + "installed_cost": { + "electricity": 0.0, + "natural gas": { + "new": 4380.0, + "existing": 13940.0 + } + }, + "cost_units": "2022$/unit", + "installed_cost_source": { + "notes": [ + "Retail (new) and total installed (existing) cost for ENERGY STAR ASHPs in 2023", + "For existing buildings, added costs of $6300 are the average of the cost range for circuit breaker panel upgrade and home service upgrade costs in the NV5 report", + "a new circuit cost of 700 $2022 using the upper bound (assuming a high amperage 240V circuit is required for the HVAC system) from the NV5 report." + ], + "source_data": [ + { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + }, + { + "title": "Service Upgrades for Electrification Retrofits Study Final Report", + "author": "NV5 and Redwood Energy", + "year": 2022, + "pages": 33, + "url": "https://pda.energydataweb.com/api/view/2635/Service%20Upgrades%20for%20Electrification%20Retrofits%20Study%20FINAL.pdf" + } + ] + }, + "product_lifetime": 15.0, + "product_lifetime_units": "years", + "product_lifetime_source": { + "notes": "Average of the ENERGY STAR range", + "source_data": { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + } + }, + "market_scaling_fractions": { + "heating": 0.9, + "cooling": 0.49 + }, + "market_scaling_fractions_source": { + "notes": "Heating multiple of 90% was determined as proportion of total homes with gas heating that have both cooling and heating systems (8,624 homes out of 9,595 homes with gas heating). Cooling multiple of 49% was determined as a proportion of total homes with a cooling system (16,171 homes) where there is heating via natural gas other than steam/hot water (7,845 homes).", + "source_data": { + "title": "RECS 2020 Microdata", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": null, + "url": "https://www.eia.gov/consumption/residential/data/2020/index.php?view=microdata" + } + }, + "_updated_by": { + "name": "Jared Langevin", + "organization": "LBNL", + "email": "jared.langevin@lbl.gov", + "timestamp": "2024-06-11 13:55:11" + } +} \ No newline at end of file diff --git a/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) low eff no panel.json b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) low eff no panel.json new file mode 100644 index 00000000..28cf892b --- /dev/null +++ b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) low eff no panel.json @@ -0,0 +1,132 @@ +{ + "name": "(R) ESTAR HP FS (NG Furnace)", + "_description": "ENERGY STAR air source heat pump (w/ cold climates specs as applicable) fully replacing original gas furnace equipment", + "measure_type": "full service", + "market_entry_year": 2024, + "market_exit_year": null, + "climate_zone": "all", + "bldg_type": "all residential", + "structure_type": "all", + "panel_upgrade": ["low efficiency upgrade", "no panel management"], + "end_use": [ + "heating", + "cooling" + ], + "fuel_type": [ + "natural gas", + "electricity" + ], + "fuel_switch_to": "electricity", + "backup_fuel_fraction": null, + "technology": [ + "furnace (NG)", + "central AC", + "room AC" + ], + "htcl_tech_link": "ng furnace+cac&rac", + "tech_switch_to": "ASHP", + "energy_efficiency": { + "cold climates": { + "heating": 2.79, + "cooling": 4.69 + }, + "warm climates": { + "heating": 2.69, + "cooling": 4.69 + } + }, + "energy_efficiency_units": "COP", + "energy_efficiency_source": { + "notes": [ + "Split system ducted (see Tables 2 (warm climates) and 3 (cold climates) in EPA source)", + "conversion from original standard: COP = SEER / 3.412, COP = HSPF / 3.412 (see EIA source)", + "split system conversion factors SEER2/SEER = 0.95, HSPF2/HSPF = 0.85 (see RESNET source)" + ], + "source_data": [ + { + "title": "ENERGY STAR Program Requirements Product Specification for Central Air Conditioner and Heat Pump Equipment Version 6.1", + "author": "U.S. Environmental Protection Agency", + "year": 2022, + "pages": 4, + "url": "https://www.energystar.gov/sites/default/files/asset/document/ENERGY%20STAR%20Version%206.1%20Central%20Air%20Conditioner%20and%20Heat%20Pump%20Final%20Specification%20%28Rev.%20January%20%202022%29.pdf" + }, + { + "title": "Draft PDS:01, MINHERS Addendum 71, SEER2/HSPF2 Conversions", + "author": "RESNET", + "year": 2022, + "pages": 2, + "url": "https://www.resnet.us/about/standards/minhers/draft:pds:01:minhers:addendum:71:seer2:hspf2:conversions/" + }, + { + "title": "Residential Demand Module of the National Energy Modeling System: Model Documentation 2014", + "author": "U.S. Energy Information Administration", + "year": 2014, + "pages": 17, + "url": "https://www.eia.gov/outlooks/aeo/nems/documentation/archive/pdf/m067(2014).pdf" + } + ] + }, + "installed_cost": { + "electricity": 0.0, + "natural gas": { + "new": 4380.0, + "existing": 13940.0 + } + }, + "cost_units": "2022$/unit", + "installed_cost_source": { + "notes": [ + "Retail (new) and total installed (existing) cost for ENERGY STAR ASHPs in 2023", + "For existing buildings, added costs of $6300 are the average of the cost range for circuit breaker panel upgrade and home service upgrade costs in the NV5 report", + "a new circuit cost of 700 $2022 using the upper bound (assuming a high amperage 240V circuit is required for the HVAC system) from the NV5 report." + ], + "source_data": [ + { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + }, + { + "title": "Service Upgrades for Electrification Retrofits Study Final Report", + "author": "NV5 and Redwood Energy", + "year": 2022, + "pages": 33, + "url": "https://pda.energydataweb.com/api/view/2635/Service%20Upgrades%20for%20Electrification%20Retrofits%20Study%20FINAL.pdf" + } + ] + }, + "product_lifetime": 15.0, + "product_lifetime_units": "years", + "product_lifetime_source": { + "notes": "Average of the ENERGY STAR range", + "source_data": { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + } + }, + "market_scaling_fractions": { + "heating": 0.9, + "cooling": 0.49 + }, + "market_scaling_fractions_source": { + "notes": "Heating multiple of 90% was determined as proportion of total homes with gas heating that have both cooling and heating systems (8,624 homes out of 9,595 homes with gas heating). Cooling multiple of 49% was determined as a proportion of total homes with a cooling system (16,171 homes) where there is heating via natural gas other than steam/hot water (7,845 homes).", + "source_data": { + "title": "RECS 2020 Microdata", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": null, + "url": "https://www.eia.gov/consumption/residential/data/2020/index.php?view=microdata" + } + }, + "_updated_by": { + "name": "Jared Langevin", + "organization": "LBNL", + "email": "jared.langevin@lbl.gov", + "timestamp": "2024-06-11 13:55:11" + } +} \ No newline at end of file diff --git a/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) low eff replacement.json b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) low eff replacement.json new file mode 100644 index 00000000..977859a4 --- /dev/null +++ b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) low eff replacement.json @@ -0,0 +1,132 @@ +{ + "name": "(R) ESTAR HP FS (NG Furnace)", + "_description": "ENERGY STAR air source heat pump (w/ cold climates specs as applicable) fully replacing original gas furnace equipment", + "measure_type": "full service", + "market_entry_year": 2024, + "market_exit_year": null, + "climate_zone": "all", + "bldg_type": "all residential", + "structure_type": "all", + "panel_upgrade": ["low efficiency upgrade", "panel replacement"], + "end_use": [ + "heating", + "cooling" + ], + "fuel_type": [ + "natural gas", + "electricity" + ], + "fuel_switch_to": "electricity", + "backup_fuel_fraction": null, + "technology": [ + "furnace (NG)", + "central AC", + "room AC" + ], + "htcl_tech_link": "ng furnace+cac&rac", + "tech_switch_to": "ASHP", + "energy_efficiency": { + "cold climates": { + "heating": 2.79, + "cooling": 4.69 + }, + "warm climates": { + "heating": 2.69, + "cooling": 4.69 + } + }, + "energy_efficiency_units": "COP", + "energy_efficiency_source": { + "notes": [ + "Split system ducted (see Tables 2 (warm climates) and 3 (cold climates) in EPA source)", + "conversion from original standard: COP = SEER / 3.412, COP = HSPF / 3.412 (see EIA source)", + "split system conversion factors SEER2/SEER = 0.95, HSPF2/HSPF = 0.85 (see RESNET source)" + ], + "source_data": [ + { + "title": "ENERGY STAR Program Requirements Product Specification for Central Air Conditioner and Heat Pump Equipment Version 6.1", + "author": "U.S. Environmental Protection Agency", + "year": 2022, + "pages": 4, + "url": "https://www.energystar.gov/sites/default/files/asset/document/ENERGY%20STAR%20Version%206.1%20Central%20Air%20Conditioner%20and%20Heat%20Pump%20Final%20Specification%20%28Rev.%20January%20%202022%29.pdf" + }, + { + "title": "Draft PDS:01, MINHERS Addendum 71, SEER2/HSPF2 Conversions", + "author": "RESNET", + "year": 2022, + "pages": 2, + "url": "https://www.resnet.us/about/standards/minhers/draft:pds:01:minhers:addendum:71:seer2:hspf2:conversions/" + }, + { + "title": "Residential Demand Module of the National Energy Modeling System: Model Documentation 2014", + "author": "U.S. Energy Information Administration", + "year": 2014, + "pages": 17, + "url": "https://www.eia.gov/outlooks/aeo/nems/documentation/archive/pdf/m067(2014).pdf" + } + ] + }, + "installed_cost": { + "electricity": 0.0, + "natural gas": { + "new": 4380.0, + "existing": 13940.0 + } + }, + "cost_units": "2022$/unit", + "installed_cost_source": { + "notes": [ + "Retail (new) and total installed (existing) cost for ENERGY STAR ASHPs in 2023", + "For existing buildings, added costs of $6300 are the average of the cost range for circuit breaker panel upgrade and home service upgrade costs in the NV5 report", + "a new circuit cost of 700 $2022 using the upper bound (assuming a high amperage 240V circuit is required for the HVAC system) from the NV5 report." + ], + "source_data": [ + { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + }, + { + "title": "Service Upgrades for Electrification Retrofits Study Final Report", + "author": "NV5 and Redwood Energy", + "year": 2022, + "pages": 33, + "url": "https://pda.energydataweb.com/api/view/2635/Service%20Upgrades%20for%20Electrification%20Retrofits%20Study%20FINAL.pdf" + } + ] + }, + "product_lifetime": 15.0, + "product_lifetime_units": "years", + "product_lifetime_source": { + "notes": "Average of the ENERGY STAR range", + "source_data": { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + } + }, + "market_scaling_fractions": { + "heating": 0.9, + "cooling": 0.49 + }, + "market_scaling_fractions_source": { + "notes": "Heating multiple of 90% was determined as proportion of total homes with gas heating that have both cooling and heating systems (8,624 homes out of 9,595 homes with gas heating). Cooling multiple of 49% was determined as a proportion of total homes with a cooling system (16,171 homes) where there is heating via natural gas other than steam/hot water (7,845 homes).", + "source_data": { + "title": "RECS 2020 Microdata", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": null, + "url": "https://www.eia.gov/consumption/residential/data/2020/index.php?view=microdata" + } + }, + "_updated_by": { + "name": "Jared Langevin", + "organization": "LBNL", + "email": "jared.langevin@lbl.gov", + "timestamp": "2024-06-11 13:55:11" + } +} \ No newline at end of file diff --git a/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) mod eff management.json b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) mod eff management.json new file mode 100644 index 00000000..961b135d --- /dev/null +++ b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) mod eff management.json @@ -0,0 +1,132 @@ +{ + "name": "(R) ESTAR HP FS (NG Furnace)", + "_description": "ENERGY STAR air source heat pump (w/ cold climates specs as applicable) fully replacing original gas furnace equipment", + "measure_type": "full service", + "market_entry_year": 2024, + "market_exit_year": null, + "climate_zone": "all", + "bldg_type": "all residential", + "structure_type": "all", + "panel_upgrade": ["moderate efficiency upgrade", "panel management"], + "end_use": [ + "heating", + "cooling" + ], + "fuel_type": [ + "natural gas", + "electricity" + ], + "fuel_switch_to": "electricity", + "backup_fuel_fraction": null, + "technology": [ + "furnace (NG)", + "central AC", + "room AC" + ], + "htcl_tech_link": "ng furnace+cac&rac", + "tech_switch_to": "ASHP", + "energy_efficiency": { + "cold climates": { + "heating": 2.79, + "cooling": 4.69 + }, + "warm climates": { + "heating": 2.69, + "cooling": 4.69 + } + }, + "energy_efficiency_units": "COP", + "energy_efficiency_source": { + "notes": [ + "Split system ducted (see Tables 2 (warm climates) and 3 (cold climates) in EPA source)", + "conversion from original standard: COP = SEER / 3.412, COP = HSPF / 3.412 (see EIA source)", + "split system conversion factors SEER2/SEER = 0.95, HSPF2/HSPF = 0.85 (see RESNET source)" + ], + "source_data": [ + { + "title": "ENERGY STAR Program Requirements Product Specification for Central Air Conditioner and Heat Pump Equipment Version 6.1", + "author": "U.S. Environmental Protection Agency", + "year": 2022, + "pages": 4, + "url": "https://www.energystar.gov/sites/default/files/asset/document/ENERGY%20STAR%20Version%206.1%20Central%20Air%20Conditioner%20and%20Heat%20Pump%20Final%20Specification%20%28Rev.%20January%20%202022%29.pdf" + }, + { + "title": "Draft PDS:01, MINHERS Addendum 71, SEER2/HSPF2 Conversions", + "author": "RESNET", + "year": 2022, + "pages": 2, + "url": "https://www.resnet.us/about/standards/minhers/draft:pds:01:minhers:addendum:71:seer2:hspf2:conversions/" + }, + { + "title": "Residential Demand Module of the National Energy Modeling System: Model Documentation 2014", + "author": "U.S. Energy Information Administration", + "year": 2014, + "pages": 17, + "url": "https://www.eia.gov/outlooks/aeo/nems/documentation/archive/pdf/m067(2014).pdf" + } + ] + }, + "installed_cost": { + "electricity": 0.0, + "natural gas": { + "new": 4380.0, + "existing": 13940.0 + } + }, + "cost_units": "2022$/unit", + "installed_cost_source": { + "notes": [ + "Retail (new) and total installed (existing) cost for ENERGY STAR ASHPs in 2023", + "For existing buildings, added costs of $6300 are the average of the cost range for circuit breaker panel upgrade and home service upgrade costs in the NV5 report", + "a new circuit cost of 700 $2022 using the upper bound (assuming a high amperage 240V circuit is required for the HVAC system) from the NV5 report." + ], + "source_data": [ + { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + }, + { + "title": "Service Upgrades for Electrification Retrofits Study Final Report", + "author": "NV5 and Redwood Energy", + "year": 2022, + "pages": 33, + "url": "https://pda.energydataweb.com/api/view/2635/Service%20Upgrades%20for%20Electrification%20Retrofits%20Study%20FINAL.pdf" + } + ] + }, + "product_lifetime": 15.0, + "product_lifetime_units": "years", + "product_lifetime_source": { + "notes": "Average of the ENERGY STAR range", + "source_data": { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + } + }, + "market_scaling_fractions": { + "heating": 0.9, + "cooling": 0.49 + }, + "market_scaling_fractions_source": { + "notes": "Heating multiple of 90% was determined as proportion of total homes with gas heating that have both cooling and heating systems (8,624 homes out of 9,595 homes with gas heating). Cooling multiple of 49% was determined as a proportion of total homes with a cooling system (16,171 homes) where there is heating via natural gas other than steam/hot water (7,845 homes).", + "source_data": { + "title": "RECS 2020 Microdata", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": null, + "url": "https://www.eia.gov/consumption/residential/data/2020/index.php?view=microdata" + } + }, + "_updated_by": { + "name": "Jared Langevin", + "organization": "LBNL", + "email": "jared.langevin@lbl.gov", + "timestamp": "2024-06-11 13:55:11" + } +} \ No newline at end of file diff --git a/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) mod eff no panel.json b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) mod eff no panel.json new file mode 100644 index 00000000..15a5bbf3 --- /dev/null +++ b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) mod eff no panel.json @@ -0,0 +1,132 @@ +{ + "name": "(R) ESTAR HP FS (NG Furnace)", + "_description": "ENERGY STAR air source heat pump (w/ cold climates specs as applicable) fully replacing original gas furnace equipment", + "measure_type": "full service", + "market_entry_year": 2024, + "market_exit_year": null, + "climate_zone": "all", + "bldg_type": "all residential", + "structure_type": "all", + "panel_upgrade": ["moderate efficiency upgrade", "no panel management"], + "end_use": [ + "heating", + "cooling" + ], + "fuel_type": [ + "natural gas", + "electricity" + ], + "fuel_switch_to": "electricity", + "backup_fuel_fraction": null, + "technology": [ + "furnace (NG)", + "central AC", + "room AC" + ], + "htcl_tech_link": "ng furnace+cac&rac", + "tech_switch_to": "ASHP", + "energy_efficiency": { + "cold climates": { + "heating": 2.79, + "cooling": 4.69 + }, + "warm climates": { + "heating": 2.69, + "cooling": 4.69 + } + }, + "energy_efficiency_units": "COP", + "energy_efficiency_source": { + "notes": [ + "Split system ducted (see Tables 2 (warm climates) and 3 (cold climates) in EPA source)", + "conversion from original standard: COP = SEER / 3.412, COP = HSPF / 3.412 (see EIA source)", + "split system conversion factors SEER2/SEER = 0.95, HSPF2/HSPF = 0.85 (see RESNET source)" + ], + "source_data": [ + { + "title": "ENERGY STAR Program Requirements Product Specification for Central Air Conditioner and Heat Pump Equipment Version 6.1", + "author": "U.S. Environmental Protection Agency", + "year": 2022, + "pages": 4, + "url": "https://www.energystar.gov/sites/default/files/asset/document/ENERGY%20STAR%20Version%206.1%20Central%20Air%20Conditioner%20and%20Heat%20Pump%20Final%20Specification%20%28Rev.%20January%20%202022%29.pdf" + }, + { + "title": "Draft PDS:01, MINHERS Addendum 71, SEER2/HSPF2 Conversions", + "author": "RESNET", + "year": 2022, + "pages": 2, + "url": "https://www.resnet.us/about/standards/minhers/draft:pds:01:minhers:addendum:71:seer2:hspf2:conversions/" + }, + { + "title": "Residential Demand Module of the National Energy Modeling System: Model Documentation 2014", + "author": "U.S. Energy Information Administration", + "year": 2014, + "pages": 17, + "url": "https://www.eia.gov/outlooks/aeo/nems/documentation/archive/pdf/m067(2014).pdf" + } + ] + }, + "installed_cost": { + "electricity": 0.0, + "natural gas": { + "new": 4380.0, + "existing": 13940.0 + } + }, + "cost_units": "2022$/unit", + "installed_cost_source": { + "notes": [ + "Retail (new) and total installed (existing) cost for ENERGY STAR ASHPs in 2023", + "For existing buildings, added costs of $6300 are the average of the cost range for circuit breaker panel upgrade and home service upgrade costs in the NV5 report", + "a new circuit cost of 700 $2022 using the upper bound (assuming a high amperage 240V circuit is required for the HVAC system) from the NV5 report." + ], + "source_data": [ + { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + }, + { + "title": "Service Upgrades for Electrification Retrofits Study Final Report", + "author": "NV5 and Redwood Energy", + "year": 2022, + "pages": 33, + "url": "https://pda.energydataweb.com/api/view/2635/Service%20Upgrades%20for%20Electrification%20Retrofits%20Study%20FINAL.pdf" + } + ] + }, + "product_lifetime": 15.0, + "product_lifetime_units": "years", + "product_lifetime_source": { + "notes": "Average of the ENERGY STAR range", + "source_data": { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + } + }, + "market_scaling_fractions": { + "heating": 0.9, + "cooling": 0.49 + }, + "market_scaling_fractions_source": { + "notes": "Heating multiple of 90% was determined as proportion of total homes with gas heating that have both cooling and heating systems (8,624 homes out of 9,595 homes with gas heating). Cooling multiple of 49% was determined as a proportion of total homes with a cooling system (16,171 homes) where there is heating via natural gas other than steam/hot water (7,845 homes).", + "source_data": { + "title": "RECS 2020 Microdata", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": null, + "url": "https://www.eia.gov/consumption/residential/data/2020/index.php?view=microdata" + } + }, + "_updated_by": { + "name": "Jared Langevin", + "organization": "LBNL", + "email": "jared.langevin@lbl.gov", + "timestamp": "2024-06-11 13:55:11" + } +} \ No newline at end of file diff --git a/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) mod eff replacement.json b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) mod eff replacement.json new file mode 100644 index 00000000..9690c029 --- /dev/null +++ b/ecm_definitions/panels_project_measures/(R) ESTAR HP FS (NG Furnace) mod eff replacement.json @@ -0,0 +1,132 @@ +{ + "name": "(R) ESTAR HP FS (NG Furnace)", + "_description": "ENERGY STAR air source heat pump (w/ cold climates specs as applicable) fully replacing original gas furnace equipment", + "measure_type": "full service", + "market_entry_year": 2024, + "market_exit_year": null, + "climate_zone": "all", + "bldg_type": "all residential", + "structure_type": "all", + "panel_upgrade": ["moderate efficiency upgrade", "panel replacement"], + "end_use": [ + "heating", + "cooling" + ], + "fuel_type": [ + "natural gas", + "electricity" + ], + "fuel_switch_to": "electricity", + "backup_fuel_fraction": null, + "technology": [ + "furnace (NG)", + "central AC", + "room AC" + ], + "htcl_tech_link": "ng furnace+cac&rac", + "tech_switch_to": "ASHP", + "energy_efficiency": { + "cold climates": { + "heating": 2.79, + "cooling": 4.69 + }, + "warm climates": { + "heating": 2.69, + "cooling": 4.69 + } + }, + "energy_efficiency_units": "COP", + "energy_efficiency_source": { + "notes": [ + "Split system ducted (see Tables 2 (warm climates) and 3 (cold climates) in EPA source)", + "conversion from original standard: COP = SEER / 3.412, COP = HSPF / 3.412 (see EIA source)", + "split system conversion factors SEER2/SEER = 0.95, HSPF2/HSPF = 0.85 (see RESNET source)" + ], + "source_data": [ + { + "title": "ENERGY STAR Program Requirements Product Specification for Central Air Conditioner and Heat Pump Equipment Version 6.1", + "author": "U.S. Environmental Protection Agency", + "year": 2022, + "pages": 4, + "url": "https://www.energystar.gov/sites/default/files/asset/document/ENERGY%20STAR%20Version%206.1%20Central%20Air%20Conditioner%20and%20Heat%20Pump%20Final%20Specification%20%28Rev.%20January%20%202022%29.pdf" + }, + { + "title": "Draft PDS:01, MINHERS Addendum 71, SEER2/HSPF2 Conversions", + "author": "RESNET", + "year": 2022, + "pages": 2, + "url": "https://www.resnet.us/about/standards/minhers/draft:pds:01:minhers:addendum:71:seer2:hspf2:conversions/" + }, + { + "title": "Residential Demand Module of the National Energy Modeling System: Model Documentation 2014", + "author": "U.S. Energy Information Administration", + "year": 2014, + "pages": 17, + "url": "https://www.eia.gov/outlooks/aeo/nems/documentation/archive/pdf/m067(2014).pdf" + } + ] + }, + "installed_cost": { + "electricity": 0.0, + "natural gas": { + "new": 4380.0, + "existing": 13940.0 + } + }, + "cost_units": "2022$/unit", + "installed_cost_source": { + "notes": [ + "Retail (new) and total installed (existing) cost for ENERGY STAR ASHPs in 2023", + "For existing buildings, added costs of $6300 are the average of the cost range for circuit breaker panel upgrade and home service upgrade costs in the NV5 report", + "a new circuit cost of 700 $2022 using the upper bound (assuming a high amperage 240V circuit is required for the HVAC system) from the NV5 report." + ], + "source_data": [ + { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + }, + { + "title": "Service Upgrades for Electrification Retrofits Study Final Report", + "author": "NV5 and Redwood Energy", + "year": 2022, + "pages": 33, + "url": "https://pda.energydataweb.com/api/view/2635/Service%20Upgrades%20for%20Electrification%20Retrofits%20Study%20FINAL.pdf" + } + ] + }, + "product_lifetime": 15.0, + "product_lifetime_units": "years", + "product_lifetime_source": { + "notes": "Average of the ENERGY STAR range", + "source_data": { + "title": "Updated Buildings Sector Appliance and Equipment Costs and Efficiencies", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": 39, + "url": "https://www.eia.gov/analysis/studies/buildings/equipcosts/pdf/full.pdf" + } + }, + "market_scaling_fractions": { + "heating": 0.9, + "cooling": 0.49 + }, + "market_scaling_fractions_source": { + "notes": "Heating multiple of 90% was determined as proportion of total homes with gas heating that have both cooling and heating systems (8,624 homes out of 9,595 homes with gas heating). Cooling multiple of 49% was determined as a proportion of total homes with a cooling system (16,171 homes) where there is heating via natural gas other than steam/hot water (7,845 homes).", + "source_data": { + "title": "RECS 2020 Microdata", + "author": "U.S. Energy Information Administration", + "year": 2023, + "pages": null, + "url": "https://www.eia.gov/consumption/residential/data/2020/index.php?view=microdata" + } + }, + "_updated_by": { + "name": "Jared Langevin", + "organization": "LBNL", + "email": "jared.langevin@lbl.gov", + "timestamp": "2024-06-11 13:55:11" + } +} \ No newline at end of file diff --git a/ecm_prep.py b/ecm_prep.py index d9e5fe32..e4b6ce92 100644 --- a/ecm_prep.py +++ b/ecm_prep.py @@ -365,6 +365,14 @@ class UsefulVars(object): com_timeprefs (dict): Commercial adoption time preference premiums. hp_rates (dict): Exogenous rates of conversions from baseline equipment to heat pumps, if applicable. + link_htcl_tover_anchor_eu = For measures that apply to separate heating + and cooling technologies, stock turnover and exogenous switching + rates will be anchored on this end use + link_htcl_tover_anchor_tech_opts = For measures that apply to seperate + heating and cooling technologies, stock turnover and exogenous + switching rates will be anchored on whichever technology in the + measure's definition appears first in the lists in this dict, + given the anchor end use above and applicable bldg. type (res/com) fug_emissions (dict): Refrigerant leakage data and supply chain methane data to support assessments of fugitive emissions. in_all_map (dict): Maps any user-defined measure inputs marked 'all' to @@ -827,6 +835,34 @@ def __init__(self, base_dir, handyfiles, opts): "secondary heater (wood)", "secondary heater (coal)", "secondary heater (kerosene)", "secondary heater (LPG)"] + # Information for anchoring linked heating/cooling stock turnover + # and exogenous switching rate calculations + + # End use anchor + self.link_htcl_tover_anchor_eu = "heating" + # Technology anchor – list order assigns priority for which technology + # in a measure's definition serves as the anchor + self.link_htcl_tover_anchor_tech_opts = { + "residential": { + "heating": [ + "resistance heat", "furnace (NG)", "boiler (NG)", + "furnace (distillate)", "boiler (distillate)", + "furnace (LPG)", "furnace (kerosene)", "stove (wood)"], + "cooling": ["central AC", "room AC"] + }, + "commercial": { + "heating": [ + "electric_res-heat", "gas_boiler", "gas_furnace", + "oil_boiler", "oil_furnace"], + "cooling": [ + "rooftop_AC", "centrifugal_chiller", + "reciprocating_chiller", "screw_chiller", + "res_type_central_AC", "scroll_chiller", + "res_type_central_AC", "wall-window_room_AC", + "gas_eng-driven_RTAC", "gas_chiller"] + } + } + # Load external refrigerant and supply chain methane leakage data # to assess fugitive emissions sources if opts.fugitive_emissions is not False: @@ -2109,15 +2145,30 @@ class Measure(object): htcl_tech_link (str, None): For HVAC measures, flags specific heating/ cooling pairs which further restricts the measure's competition ( it is only competed with other measures w/ same pairs) + panel_upgrade (list): Flag for measures that could initiate a panel + upgrade; invokes supporting data on whether or not a panel upgrade + or other load/space control solution is needed to avoid an upgrade + for a given microsegment. + linked_htcl_tover (str, None): Flags the need to link stock turnover + and exogenous rate switching calculations for measures that apply + to separate heating and cooling technologies/segments (initialized + as None and updated in 'fill_mkts' function.) + linked_htcl_tover_anchor_tech (str, None): Sets the technology to use + as an anchor for linking stock turnover and exogenous rate + switching calculations for measures that apply to separate heating + and cooling technologies/segments (initialized as None and updated + in 'fill_mkts' function.) technology_type (string): Flag for supply- or demand-side technology. yrs_on_mkt (list): List of years that the measure is active on market. markets (dict): Data grouped by adoption scheme on: a) 'master_mseg': a measure's master market microsegments (stock, energy, carbon, cost), b) 'mseg_adjust': all microsegments that contribute to each master - microsegment (required later for measure competition). + microsegment (required later for measure competition); competed + choice model parameters; information need to link stock turnover + and/or exogenous fuel/tech switching rates across msegs. c) 'mseg_out_break': master microsegment breakdowns by key - variables (climate zone, building class, end use) + variables (climate zone, building class, end use, fuel) sector_shapes (dict): Sector-level hourly baseline and efficient load shapes by adopt scheme, EMM region, and year """ @@ -2195,6 +2246,13 @@ def __init__( self.tech_switch_to except AttributeError: self.tech_switch_to = None + # Check for panel upgrade attribute, and if not there set None + try: + self.panel_upgrade + if self.panel_upgrade is None: + self.panel_upgrade = "" + except AttributeError: + self.panel_upgrade = "" # Check for flag for heating and cooling equipment pairing, if not # there or not applicable set to blank string try: @@ -2203,6 +2261,8 @@ def __init__( self.htcl_tech_link = "" except AttributeError: self.htcl_tech_link = "" + self.linked_htcl_tover, self.linked_htcl_tover_anchor_tech = ( + None for n in range(2)) # Determine whether the measure replaces technologies pertaining to # the supply or the demand of energy services self.technology_type = None @@ -2566,7 +2626,12 @@ def __init__( "original energy (total captured)": {}, "original energy (competed and captured)": {}, "adjusted energy (total captured)": {}, - "adjusted energy (competed and captured)": {}}}})]) + "adjusted energy (competed and captured)": {}}}, + "paired heat/cool mseg adjustments": { + "original total stock": {}, + "adjusted total stock": {}, + "competed stock": {} + }})]) # Initialize efficient energy captured by measure if user does # not suppress reporting of this additional variable if self.usr_opts["no_eff_capt"] is not True: @@ -2843,15 +2908,82 @@ def fill_mkts(self, msegs, msegs_cpl, convert_data, tsv_data_init, opts, # Determine "primary" microsegment key chains ms_iterable, ms_lists = self.create_keychain("primary") - # Insert a flag for linking heating and cooling microsegments, if - # applicable; when linked, heat pump conversion rates for heating - # microsegments will also be applied to the cooling microsegments - # affected by the measure in a given building type/region - if self.handyvars.hp_rates and all([ - x in ms_lists[3] for x in ["heating", "cooling"]]): - link_htcl_fs_rates = True - else: - link_htcl_fs_rates = "" + # Update information needed to link the stock turnover rates and + # exogenous HP conversion rates for measures that apply to separate + # heating and cooling tech. microsegments, as applicable. Such links + # are only needed for equipment microsegments (e.g., not envelope) and + # for technologies that are not already linked across heating/cooling + # end uses (e.g., not HPs) + if all([x in self.end_use["primary"] for x in [ + "heating", "cooling"]]) and ( + "demand" not in self.technology_type["primary"]) and all([ + "HP" not in x for x in self.technology["primary"]]): + # Reset flag for linked heating/cooling mseg turnover + self.linked_htcl_tover = True + try: + # Set applicable building sector for the measure to use in + # linking heating/cooling turnover and switching calculations. + # Note that if measure applies to both residential and + # commercial buildings (which is not recommended or typical + # practice for ECM definitions), this approach will result in + # the use of residential technologies to anchor linked turnover + # across measure markets + if any([x in ["single family home", "mobile home", + "multi family home"] for x in self.bldg_type]): + bldg_sect = "residential" + else: + bldg_sect = "commercial" + # Pull the ordered list of candidate technologies to serve as + # anchor for linked heating/cooling turnover and switching + # calculations (these are specified by building sector and by + # the anchor end use set in UsefulVars class earlier) + linked_htcl_tover_anchor_tech_list = [ + x for x in self.handyvars.link_htcl_tover_anchor_tech_opts[ + bldg_sect][self.handyvars.link_htcl_tover_anchor_eu]] + # Find the first in the ordered list of candidate technologies + # that the measure applies to, use as anchor for linked + # heating/cooling mseg turnover and switching calculations + self.linked_htcl_tover_anchor_tech = [ + x for x in linked_htcl_tover_anchor_tech_list if x in + self.technology["primary"]][0] + except IndexError: + # Throw error if no anchor technology could be determined + raise ValueError( + "Cannot find anchor technology to link heating " + "and cooling microsegment stock turnover rates for " + "measure '" + self.name + "'. Check measure " + "'technology' attribute to ensure one or more items " + "are included in the following list: " + + str(linked_htcl_tover_anchor_tech_list)) + # Given no error after the calculations above, reset the iterable + # that determines how measure msegs are looped through to ensure + # that msegs with the the anchor end use and technology for linked + # heating/cooling turnover and switching calculations are always + # looped through first (so linked turnover data will already be + # available for heating/cooling msegs that do not serve as anchor) + + # Register initial length of ms_iterable for check + iter_len_check = len(ms_iterable) + # Set end use and technology anchor names + first_eu_tech = [self.handyvars.link_htcl_tover_anchor_eu, + self.linked_htcl_tover_anchor_tech] + # Find subset of iterable with msegs that apply to the anchor + # end use and technology + ms_iterable_first = [x for x in ms_iterable if all([ + y in x for y in first_eu_tech])] + # Find subset of iterable with msegs that do not apply to the + # anchor end use and technology + ms_iterable_second = [x for x in ms_iterable if any([ + y not in x for y in first_eu_tech])] + # Recombined two subsets above into updated iterable to loop + ms_iterable = ms_iterable_first + ms_iterable_second + # Ensure that resorted iterable is of same length as original + if len(ms_iterable) != iter_len_check: + raise ValueError( + "Microsegments list for measure '" + self.name + + "' changed after resorting list to ensure proper " + "linking of heating/cooling stock turnover and switching " + "calculations") # If needed, fill out any secondary microsegment fuel type, end use, # and/or technology input attributes marked 'all' by users. Determine @@ -3946,14 +4078,14 @@ def fill_mkts(self, msegs, msegs_cpl, convert_data, tsv_data_init, opts, # only assessed for switching to HPs or the non-switching # alternative (e.g., are not assessed for like-for-like HP # replacements); non-HP equipment cooling microsegments that - # are linked with the heating microsegments + # are linked with the heating microsegments turnover/switching # are also subject to the rates; set to None otherwise if (self.handyvars.hp_rates and "demand" not in mskeys) and \ ("stove (wood)" not in self.technology["primary"]) and \ (mskeys[-2] is None or "HP" not in mskeys[-2]) and (any([ x in mskeys for x in [ - "heating", "water heating", "cooking"]]) or ( - link_htcl_fs_rates and "cooling" in mskeys)): + "heating", "water heating", "cooking"]]) or + (self.linked_htcl_tover and "cooling" in mskeys)): hp_rate_flag = True else: hp_rate_flag = "" @@ -7935,6 +8067,10 @@ def partition_microsegment( comp_cum_frac = 0 stock_total_hp_convert_frac = 0 turnover_cap_not_reached = True + # Initialize turnover fractions that may have already been determined + # for heating/cooling msegs with linked turnover calculations + diffuse_frac_linked, comp_frac_diffuse_linked = ( + None for n in range(2)) # Initialize flag for whether measure is on the market in a given year # as false @@ -8018,11 +8154,96 @@ def partition_microsegment( secnd_adj_mktshr["adjusted energy (competed and captured)"][ secnd_mseg_adjkey] = dict.fromkeys( self.handyvars.aeo_years, 0) - + linked_htcl_tover_anchor_tech = None + # Handle case where turnover/switching calculations for the current + # primary mseg are flagged as being linked to those of another mseg + elif self.linked_htcl_tover: + # Determine whether currently looped through mseg tech. serves as + # anchor tech for linked turnover/switching calcs. across measure + linked_htcl_tover_anchor_tech = ( + self.linked_htcl_tover_anchor_tech == mskeys[-2]) + # Determine the region, building type, and structure type that is + # shared by the linked heating and cooling microsegments + htcl_lnk_adjkey = str((mskeys[1], mskeys[2], mskeys[-1])) + # Set shorthands for pulling linked turnover data from + # measure market information + total_htcl_lnk, total_htcl_lnk_adj, compete_htcl_lnk = [ + self.markets[adopt_scheme]["mseg_adjust"][ + "paired heat/cool mseg adjustments"][x] for x in [ + "original total stock", "adjusted total stock", + "competed stock"]] + # Determine whether linked turnover data for the current + # combination of region, building type, and structure type have + # already been updated at least once (those keys for linking + # will be present in the market data pulled above) + if htcl_lnk_adjkey not in total_htcl_lnk.keys(): + initiate_linked_dat = True + else: + initiate_linked_dat = False + + # If the current mseg tech. serves as an anchor for linking + # heating/cooling turnover and linking data have not yet been + # initiated, initiate these data as zero (they will be updated + # later on below) + if initiate_linked_dat and linked_htcl_tover_anchor_tech: + total_htcl_lnk[htcl_lnk_adjkey], \ + total_htcl_lnk_adj[htcl_lnk_adjkey], \ + compete_htcl_lnk[htcl_lnk_adjkey] = ( + dict.fromkeys(self.handyvars.aeo_years, 0) + for n in range(3)) + # If the current mseg. tech. does not serve as an anchor for + # linking heating/cooling turnover, check whether applicable + # linking data have already been initiated for this mseg's region, + # building type, and structure type, as would be expected. If so, + # use those data to determine stock turnover fractions for the + # current mseg. If not, throw an error. + elif not linked_htcl_tover_anchor_tech: + if not initiate_linked_dat: + # Update stock turnover fractions for current mseg based + # on turnover data calculated for linked anchor + # heating/cooling mseg + + # Set contingency value for linked diffusion fraction + # in cases where the total stock for the linked segment + # before adjustment via diffusion fraction is zero. When + # exogenous switching rates are used and the measure is + # switching away from the baseline technology, this + # translates to zero conversions of the anchor segment and + # that should be carried through to the linked segment; + # otherwise, full diffusion for the linked segment should + # be assumed + if hp_rate and (self.fuel_switch_to == "electricity" or ( + self.tech_switch_to not in [None, "NA"])): + null_val = 0 + else: + null_val = 1 + diffuse_frac_linked = { + yr: total_htcl_lnk_adj[htcl_lnk_adjkey][yr] / + total_htcl_lnk[htcl_lnk_adjkey][yr] if + total_htcl_lnk[htcl_lnk_adjkey][yr] != 0 else + null_val for yr in self.handyvars.aeo_years} + # When stock for anchor segment after adjustment for + # diffusion fraction is zero, set competition fraction for + # linked segment to zero since competition of the linked to + # segment is contingent on that of the anchor segment + comp_frac_diffuse_linked = { + yr: compete_htcl_lnk[htcl_lnk_adjkey][yr] / + total_htcl_lnk_adj[htcl_lnk_adjkey][yr] if + total_htcl_lnk_adj[htcl_lnk_adjkey][yr] != 0 + else 0 for yr in self.handyvars.aeo_years} + else: + raise ValueError( + "No data available to link mseg " + str(mskeys) + + " for measure '" + self.name + "' with " + + self.handyvars.link_htcl_tover_anchor_eu + + " turnover rates") # In cases where no secondary heating/cooling microsegment is present, - # set secondary microsegment adjustment key to None + # and there are no linked stock turnover rates for primary heating and + # cooling microsegments, set relevant adjustment variables to None else: - secnd_mseg_adjkey = None + secnd_mseg_adjkey, linked_htcl_tover_anchor_tech, \ + htcl_lnk_adjkey, total_htcl_lnk, total_htcl_lnk_adj, \ + compete_htcl_lnk = (None for n in range(6)) # Set time sensitive energy scaling factors for all baseline stock # (does not depend on year) @@ -8259,8 +8480,11 @@ def partition_microsegment( # Calculate new, replacement, and retrofit fractions for the # baseline and efficient stock as applicable. * Note: these - # fractions are 0 for secondary microsegments - if mskeys[0] == "primary": + # fractions are 0 for secondary microsegments, and should also not + # be calculated if the mseg is a heating/cooling mseg with links + # to the stock turnover rates of another mseg that have already + # been determined + if mskeys[0] == "primary" and not comp_frac_diffuse_linked: # Calculate the portions of existing baseline and efficient # stock that are up for replacement @@ -8430,8 +8654,11 @@ def partition_microsegment( if any(comp_frac_sbmkt > 1): comp_frac_sbmkt[numpy.where(comp_frac_sbmkt > 1)] = 1 - # Diffusion of electric HPs according to pre-determined rates - if hp_rate and mskeys[0] == "primary": + # Diffusion of electric HPs according to pre-determined rates; + # these calculations need not proceed if the mseg is a heating/ + # cooling mseg with links to the switching rates of another mseg + # that have already been determined + if not diffuse_frac_linked and hp_rate and mskeys[0] == "primary": # Find the annual fraction of the total stock that is converted # to a heat pump; set to 100% for technical potential, # otherwise set to the new/replacement stock (and, if user @@ -8534,13 +8761,30 @@ def partition_microsegment( stock_total_hp_convert[yr]) else: comp_frac_diffuse = 0 - # All other measure diffusion cases - else: + # Multiply diffusion fractions calculated above + # (to represent exogenous HP switching rates, if applicable) + # by further fraction to represent slow diffusion of info. + # for emerging technologies + diffuse_frac *= years_diff_fraction_dictionary[yr] + # All other measure diffusion cases where diffusion scaling and + # competed diffusion fractions were not already calculated + elif not diffuse_frac_linked: # Currently no diffusion scaling diffuse_frac = 1 # Competed fraction is that calculated above for the mseg # after applying submkt scaling comp_frac_diffuse = comp_frac_sbmkt + # Multiply diffusion fractions calculated above + # (to represent exogenous HP switching rates, if applicable) + # by further fraction to represent slow diffusion of info. + # for emerging technologies + diffuse_frac *= years_diff_fraction_dictionary[yr] + # Case where mseg's stock turnover and switching rates are linked + # to another mseg and have already been calculated; set to those + # rates, which were pulled above + else: + diffuse_frac = diffuse_frac_linked[yr] + comp_frac_diffuse = comp_frac_diffuse_linked[yr] # Ensure that competed diffusion fraction is always between 0 and 1 if not isinstance(comp_frac_diffuse, numpy.ndarray): @@ -8554,12 +8798,6 @@ def partition_microsegment( elif any(comp_frac_diffuse < 0): comp_frac_diffuse[numpy.where(comp_frac_diffuse < 0)] = 0 - # Multiply diffusion fractions calculated above - # (to represent exogenous HP switching rates, if applicable) - # by further fraction to represent slow diffusion of information - # for emerging technologies - diffuse_frac *= years_diff_fraction_dictionary[yr] - # If the measure is on the market, the competed fraction that # is captured by the measure is the same as the competed fraction # above (all competed stock goes to measure); otherwise, this @@ -8896,6 +9134,17 @@ def partition_microsegment( carb_compete[yr] = \ carb_total_sbmkt[yr] * diffuse_frac * comp_frac_diffuse * \ tsv_carb_base + + # For heating/cooling msegs that serve as the anchor for linked + # stock turnover and switching rates, update the linked rate + # data to reflect the above stock calculations for this mseg + if linked_htcl_tover_anchor_tech and htcl_lnk_adjkey and all([ + x for x in [total_htcl_lnk, total_htcl_lnk_adj, + compete_htcl_lnk]]): + total_htcl_lnk[htcl_lnk_adjkey][yr] += stock_total_sbmkt[yr] + total_htcl_lnk_adj[htcl_lnk_adjkey][yr] += stock_total[yr] + compete_htcl_lnk[htcl_lnk_adjkey][yr] += stock_compete[yr] + # Final competed fugitive emissions markets after accounting for # diffusion/conversion dynamics that restrict a measure's # access to it's full baseline market (after sub-mkt scaling), as @@ -13251,9 +13500,9 @@ def split_clean_data(meas_prepped_objs, full_dat_out): # Initialize a reorganized measure competition data dict and efficient # fuel split data dict comp_data_dict, fs_splits_dict, shapes_dict = ({} for n in range(3)) - # Retrieve measure contributing microsegment data that - # is relevant to markets competition in the analysis - # engine, then remove these data from measure object + # Retrieve measure contributing microsegment data that are relevant to + # markets competition in the analysis engine, then remove these data + # from measure object for adopt_scheme in m.handyvars.adopt_schemes_prep: # Delete contributing microsegment data that are # not relevant to competition in the analysis engine @@ -13261,6 +13510,12 @@ def split_clean_data(meas_prepped_objs, full_dat_out): "secondary mseg adjustments"]["sub-market"] del m.markets[adopt_scheme]["mseg_adjust"][ "secondary mseg adjustments"]["stock-and-flow"] + # If individual measure, delete markets data used to linked + # heating/cooling turnover and switching rates across msegs (these + # data are not prepared for packages) + if not isinstance(m, MeasurePackage): + del m.markets[adopt_scheme]["mseg_adjust"][ + "paired heat/cool mseg adjustments"] # Add remaining contributing microsegment data to # competition data dict, if the adoption scenario will be competed # in the run.py module, then delete from measure @@ -13302,6 +13557,10 @@ def split_clean_data(meas_prepped_objs, full_dat_out): # (not relevant) for individual measures if not isinstance(m, MeasurePackage): del m.tsv_features + # Delete individual measure attributes used to link heating/ + # cooling microsegment turnover and switching rates + del m.linked_htcl_tover + del m.linked_htcl_tover_anchor_tech # For measure packages, replace 'contributing_ECMs' # objects list with a list of these measures' names and remove # unnecessary heating/cooling equip/env overlap data diff --git a/mseg.py b/mseg.py index cf1b7ece..1d2703cd 100644 --- a/mseg.py +++ b/mseg.py @@ -3,6 +3,7 @@ import re import numpy import json +from os import path import argparse import csv import mseg_techdata as rmt @@ -54,6 +55,9 @@ def __init__(self): self.aeo_metadata = 'metadata.json' self.unused_supply_re = r'^\(b\'(SF|ST |FP).*' self.unused_demand_re = r'^\(b\'(?!(HT|CL|SH)).*' + self.panel_upg_dat = path.join( + 'supporting_data', 'stock_energy_tech_data', + 'panel_solution_shares.json') class SkipLines(object): @@ -727,7 +731,8 @@ def list_generator(nrg_stock, tloads, filterdata, aeo_years, lt_factors): # weighting factor) if group_energy: group_energy = dict(zip(sorted(group_energy.keys()), - list(group_energy.values())*lt_correction)) + list(group_energy.values()) * + lt_correction)) else: # Given input numpy array and 'compare from' list, return # energy/stock projection lists and reduced numpy array @@ -1168,6 +1173,95 @@ def array_mult(dct, factor): return json_results +def panel_upgrade_calc(panel_input_file, json_results): + """ Segments residential mseg data using supporting data file that contains + shares of panel upgrade requirements for different EE upgrades; used to + further segment the residential mseg data so that measures can be applied + to these more resolved segments of the stock based on whether a panel is or + is not required (or a panel management solution is sufficient) + given a low/med/high efficiency level for the upgrade measure. """ + + # Read in panel solution shares json file + with open(panel_input_file) as f: + panel_solution_shares = json.load(f) + + # Define impacted building type, fuel type and end use + # NOTE: not including tech type, so NGHP will be included for now. Can + # modify if needed. + fuel = 'natural gas' + end_use = 'heating' + + # Create funciton to multiply terminal dictionary values by a factor that + # represents the panel solution share for a given EE upgrade level + def multiply_dict(d, factor): + return {k: int(v * factor) if isinstance(v, int) else v * factor for k, + v in d.items()} + + # Function to process a single building type within a census division + def process_bldg_type(bldg_data, region_shares): + # Check if the required keys exist in the building data + if fuel in bldg_data and end_use in bldg_data[fuel] and \ + 'supply' in bldg_data[fuel][end_use]: + supply_data = bldg_data[fuel][end_use]['supply'] + new_supply_data = {} + + # Ensure supply_data is a dictionary before processing + if isinstance(supply_data, dict): + # Iterate through each technology in the supply data + for tech, tech_data in supply_data.items(): + new_supply_data[tech] = {} + + # Process each efficiency upgrade level + for upgrade_level, upgrade_shares in region_shares[ + 'energy'].items(): + new_supply_data[tech][upgrade_level] = {} + + # Process each panel management option + for panel_option, share in upgrade_shares.items(): + # Get the corresponding stock and energy shares + stock_share = region_shares['stock'][ + upgrade_level][panel_option] + energy_share = region_shares['energy'][ + upgrade_level][panel_option] + + # Extract original stock and energy data + original_stock = tech_data.get('stock', {}) + original_energy = tech_data.get('energy', {}) + + # Apply shares to calculate new stock and + # energy data + new_stock = multiply_dict(original_stock, + stock_share) + new_energy = multiply_dict(original_energy, + energy_share) + + # Store the new data in the restructured format + new_supply_data[tech][upgrade_level][ + panel_option] = { + 'stock': new_stock, + 'energy': new_energy + } + + # Replace the old supply data with the new restructured data + bldg_data[fuel][end_use]['supply'] = new_supply_data + + return bldg_data + + # Function to process each census division region and building type + for region, region_data in json_results.items(): + # Check if share data exists for the current region + if region in panel_solution_shares: + # Apply the processing function to the CDIV data + for bldg_type, bldg_data in region_data.items(): + json_results[region][bldg_type] = \ + process_bldg_type(bldg_data, panel_solution_shares[region]) + else: + print(f"Warning: No share data found for region '{region}'." + "Skipping this region.") + + return json_results + + def dtype_eval(entry): """ Takes as input an entry from a standard line (row) of a text or CSV file and determines its type (only string, float, or @@ -1450,6 +1544,12 @@ def main(): parser.add_argument('-y', '--year', type=int, help=help_string, choices=[2015, 2017, 2018, 2019, 2020, 2021, 2022]) + # Set up user option to indicate whether to apply subsegmentation to + # the mseg data to represent panel upgrade requirements + parser.add_argument('--panels', type=str, default='No', + help='Apply panel upgrade segmentation', + choices=['Yes', 'No']) + # Get import year specified by user (if any) aeo_import_year = parser.parse_args().year @@ -1558,6 +1658,11 @@ def fix_ints(num): # RGENOUT.txt result = onsite_calc(eiadata.res_generation, result) + # Apply panel upgrade shares to residential mseg data if option + # provided + if parser.parse_args().panels == 'Yes': + result = panel_upgrade_calc(handyvars.panel_upg_dat, result) + # Write the updated dict of data to a new JSON file json.dump(result, jso, indent=2, default=fix_ints) diff --git a/run.py b/run.py index 6cd6c609..568c21d1 100644 --- a/run.py +++ b/run.py @@ -3117,298 +3117,13 @@ def compete_adj_dicts(self, m, mseg_key, adopt_scheme): adj = m.markets[adopt_scheme]["competed"]["mseg_adjust"][ "contributing mseg keys and values"][mseg_key] - # Set up separate set of stock data needed to determine stock turnover - # adjustments as part of the measure competition calculations - - # Handle case where an equipment measure has multiple end uses that - # include heating and/or cooling and the contributing microsegment - # needs to be anchored on the stock turnover of the heating equipment - # (or cooling if not available). Such measures might include, for - # example, HP measures, HVAC + envelope packages, or controls measures - # spanning heating/cooling and other end uses - if len(m.end_use) > 1 and "demand" not in mseg_key and (( - "heating" in m.end_use["primary"] and "heating" not in mseg_key) - or ("heating" not in m.end_use["primary"] and ( - "cooling" in m.end_use["primary"] and - "cooling" not in mseg_key))): - # Decompose contributing microsegment key information into a list, - # to be modified per comment above - key_list = list(literal_eval(mseg_key)) - # Determine the building type of the contributing microsegment - if any([x in mseg_key for x in [ - "single family home", "mobile home", - "multi family home"]]): - mseg_bldg_sect = "residential" - else: - mseg_bldg_sect = "commercial" - # Case 1: heating is in the measure end uses, while heating is not - # in the current contributing microsegment - if "heating" in m.end_use["primary"] and ( - "heating" not in mseg_key): - # Reset end use - key_list[4] = "heating" - # Ensure the contributing microsegment information is - # structured to have the same "supply" key as the heating - # microsegment that will ultimately be pulled for stock - # turnover calculations - if "supply" not in key_list: - key_list = key_list[:5] + ["supply"] + key_list[5:] - # Residential case - if mseg_bldg_sect == "residential": - # Non-cooling tech. or cooling tech. is non-HP; find - # appropriate heating tech. to switch to - if any([x in mseg_key for x in [ - "room AC", "central AC"]]) or \ - "cooling" not in mseg_key: - # Set tech. to first in list of heating - # technologies that the measure applies to, and set - # the fuel as appropriate to the selected tech. - if "resistance heat" in m.technology["primary"]: - # Reset tech. - key_list[-2] = "resistance heat" - # Reset fuel - key_list[3] = "electricity" - else: - # Initialize list of heating technologies that - # would be expected for a non-HP cooling tech. - tech_search = [x for x in [ - "furnace (NG)", "boiler (NG)", - "boiler (distillate)", "furnace (distillate)", - "furnace (LPG)", "furnace (kerosene)", - "stove (wood)"] if x - in m.technology["primary"]] - # If the microsegment is non-cooling (e.g., - # secondary heating), expand to all commercial - # heating tech. - if "cooling" not in mseg_key: - tech_search.extend(["ASHP", "GSHP", "NGHP"]) - if len(tech_search) == 0: - raise ValueError( - "Contributing microsegment " + mseg_key + - " for measure " + m.name + - " has unexpected heating technology " - "information for stock turnover " - "calculations") - else: - # Reset tech. - key_list[-2] = tech_search[0] - # Reset fuel - if "NG" in tech_search[0]: - key_list[3] = "natural gas" - elif "distillate" in tech_search[0]: - key_list[3] = "distillate" - elif any([x in tech_search[0] for x in [ - "LPG", "kerosene", "wood"]]): - key_list[3] = "other fuel" - else: - key_list[3] = "electricity" - # Cooling tech. is HP; heating tech. is identical and no - # further action is needed - elif any([x in mseg_key for x in [ - "ASHP", "GSHP", "NGHP"]]): - pass - # If unexpected tech. is present, throw error - else: - raise ValueError( - "Contributing microsegment " + mseg_key + - " for measure " + m.name + " has " - "unexpected technology information for stock " - "turnover calculations") - # Commercial case - else: - # Non-cooling tech. or cooling tech. is non-HP; find - # appropriate heating tech. to switch to - if any([x in mseg_key for x in [ - "rooftop_AC", "scroll_chiller", - "res_type_central_AC", "reciprocating_chiller", - "centrifugal_chiller", "wall-window_room_AC", - "screw_chiller", "gas_chiller", - "gas_eng-driven_RTAC"]]) or \ - "cooling" not in mseg_key: - # Set tech. to first in list of heating - # technologies that the measure applies to, and set - # the fuel as appropriate to the selected tech. - - # Initialize list of heating technologies that would - # be expected for a non-HP cooling tech. - tech_search = [x for x in [ - "elec_boiler", "electric_res-heat", "gas_boiler", - "gas_furnace", "oil_boiler", "oil_furnace"] if x in - m.technology["primary"]] - # If the microsegment is non-cooling (e.g., - # ventilation), expand to all commercial heating tech. - if "cooling" not in mseg_key: - tech_search.extend([ - "rooftop_ASHP-heat", "comm_GSHP-heat", - "gas_eng-driven_RTHP-heat", - "res_type_gasHP-heat"]) - if len(tech_search) == 0: - raise ValueError( - "Contributing microsegment " + mseg_key + - " for measure " + m.name + " has unexpected " - "heating technology information for stock " - "turnover calculations") - else: - # Reset tech. - key_list[-2] = tech_search[0] - # Reset fuel - if "elec" in tech_search[0] or any([ - x in tech_search[0] for - x in ["ASHP", "GSHP"]]): - key_list[3] = "electricity" - elif "gas" in tech_search[0]: - key_list[3] = "natural gas" - else: - key_list[3] = "distillate" - # Cooling tech. is HP; select analogous heating HP tech. - # name - elif "comm_GSHP-cool" in mseg_key: - key_list[-2] = "comm_GSHP-heat" - elif "rooftop_ASHP-cool" in mseg_key: - key_list[-2] = "rooftop_ASHP-heat" - elif "gas_eng-driven_RTHP-cool" in mseg_key: - key_list[-2] = "gas_eng-driven_RTHP-heat" - elif "res_type_gasHP-cool" in mseg_key: - key_list[-2] = "res_type_gasHP-heat" - # If unexpected tech. is present, throw error - else: - raise ValueError( - "Contributing microsegment " + mseg_key + - " for measure " + m.name + " has " - "unexpected technology information for stock " - "turnover calculations") - # Case 2: heating is not in the measure end uses, cooling is in the - # measure end uses, and cooling is not in the current contributing - # microsegment - elif "heating" not in m.end_use["primary"] and ( - "cooling" in m.end_use["primary"] and "cooling" not in - mseg_key): - # Reset end use - key_list[4] = "cooling" - # Ensure the contributing microsegment information is - # structured to have the same "supply" key as the cooling - # microsegment that will ultimately be pulled for stock - # turnover calculations - if "supply" not in key_list: - key_list = key_list[:5] + ["supply"] + key_list[5:] - # Residential case - if mseg_bldg_sect == "residential": - # Set tech. to first in list of cooling - # technologies that the measure applies to, and set - # the fuel as appropriate to the selected tech. - tech_search = [x for x in [ - "central AC", "ASHP", "room AC", "GSHP", "NGHP"] if - x in m.technology["primary"]] - if len(tech_search) == 0: - raise ValueError( - "Contributing microsegment " + mseg_key + - " for measure " + m.name + - " has unexpected cooling technology " - "information for stock turnover calculations") - else: - # Reset tech. - key_list[-2] = tech_search[0] - # Reset fuel - if tech_search[0] == "NGHP": - key_list[3] = "natural gas" - else: - key_list[3] = "electricity" - # Commercial case - else: - # Set tech. to first in list of cooling - # technologies that the measure applies to, and set - # the fuel as appropriate to the selected tech. - tech_search = [x for x in [ - "rooftop_AC", "rooftop_ASHP-cool", - "reciprocating_chiller", "scroll_chiller", - "centrifugal_chiller", "screw_chiller", - "res_type_central_AC", "comm_GSHP-cool", - "wall-window_room_AC", "gas_eng-driven_RTAC", - "gas_chiller", "res_type_gasHP-cool", - "gas_eng-driven_RTHP-cool"] if x in - m.technology["primary"]] - if len(tech_search) == 0: - raise ValueError( - "Contributing microsegment " + mseg_key + - " for measure " + m.name + - " has unexpected cooling technology " - "information for stock turnover calculations") - else: - # Reset tech. - key_list[-2] = tech_search[0] - # Reset fuel - if "gas" in tech_search[0]: - key_list[3] = "natural gas" - else: - key_list[3] = "electricity" - else: - raise ValueError( - "Contributing microsegment " + mseg_key + - " for measure " + m.name + - " has unexpected information for stock turnover " - "calculations") - # After making the adjustments above, convert the modified - # contributing microsegment information back into a string - # to use in keying in needed stock data - mseg_key_stk_trk = str(tuple(key_list)) - # For HP measures with exogenously-specified switching - # rates, the heating technology will be specified in contributing - # microsegment data with an "-FS" or "-RST" appended; develop - # alternate stock data keys to switch to to handle this case - key_list_alt1, key_list_alt2 = ( - copy.deepcopy(key_list) for n in range(2)) - key_list_alt1[-2], key_list_alt2[-2] = [ - (key_list_alt1[-2] + "-FS"), (key_list_alt2[-2] + "-RST")] - mseg_key_stk_trk_alt1, mseg_key_stk_trk_alt2 = ( - str(tuple(key_list_alt1)), str(tuple(key_list_alt2))) - # Handle all other cases, where stock data will be available for - # the contributing microsegment to be adjusted as-is - else: - # Use contributing microsegment info. as-is to key in stock data - mseg_key_stk_trk = mseg_key - # Alternate stock data key does not apply in this case - mseg_key_stk_trk_alt1, mseg_key_stk_trk_alt2 = ( - None for n in range(2)) - - # Pull data for stock turnover calculations for the current - # contributing microsegment, using the data key information from above; - # note that these calculations rely on pre-competition (unadjusted) - # stock data that will be common to all measures that compete for - # the microsegment - - # Handle case where data are keyed in with additional "-FS" or "-RST" - # in the tech. information (use alternate stock data key from above) - try: - adj_stk_trk = m.markets[adopt_scheme]["uncompeted"]["mseg_adjust"][ - "contributing mseg keys and values"][mseg_key_stk_trk]["stock"] - except KeyError: - try: - adj_stk_trk = m.markets[adopt_scheme]["uncompeted"][ - "mseg_adjust"]["contributing mseg keys and values"][ - mseg_key_stk_trk_alt1]["stock"] - except KeyError: - try: - adj_stk_trk = m.markets[adopt_scheme]["uncompeted"][ - "mseg_adjust"]["contributing mseg keys and values"][ - mseg_key_stk_trk_alt2]["stock"] - except KeyError: - # Handle case where expected microsegment stock data to be - # linked to the stock turnover calculations for the current - # microsegment is not available; key in stock data with the - # current microsegment stock info. - try: - adj_stk_trk = m.markets[adopt_scheme]["uncompeted"][ - "mseg_adjust"][ - "contributing mseg keys and values"][ - mseg_key]["stock"] - except KeyError: - raise ValueError( - "Stock turnover data could not be keyed in " - "for contributing microsegment " + mseg_key + - " for measure " + m.name + " using the " - "keys " + mseg_key_stk_trk + ", " + - mseg_key_stk_trk_alt1 + ", " + - mseg_key_stk_trk_alt2 + ", or" + mseg_key) + # Set up separate set of stock data needed to determine stock + # turnover adjustments as part of the measure competition calculations; + # separate data are needed because the 'adj' data above are further + # adjusted with competition, where stock data before competition + # adjustments are needed for the turnover calculations + adj_stk_trk = m.markets[adopt_scheme]["uncompeted"]["mseg_adjust"][ + "contributing mseg keys and values"][mseg_key]["stock"] # Set total-baseline and competed-baseline contributing microsegment # stock/energy/carbon/cost totals to be updated in the diff --git a/supporting_data/stock_energy_tech_data/mseg_res_com_cdiv.json b/supporting_data/stock_energy_tech_data/mseg_res_com_cdiv.json index e4637578..e2ca6a96 100644 --- a/supporting_data/stock_energy_tech_data/mseg_res_com_cdiv.json +++ b/supporting_data/stock_energy_tech_data/mseg_res_com_cdiv.json @@ -2176,7 +2176,7 @@ "2015": 7728922.341095401, "2016": 4302595.982434926, "2017": 3515572.7395176394, - "2018": 2873393.155094508, + "2018": 2873393.155094507, "2019": 2167403.2880790858, "2020": 1762137.453970572, "2021": 1507296.8001165101, @@ -2254,7 +2254,7 @@ "2015": 1419908.0828171887, "2016": 1071992.8322339302, "2017": 1023866.7096566659, - "2018": 997712.4924092497, + "2018": 997712.4924092495, "2019": 1019776.0964613812, "2020": 975752.012945491, "2021": 963437.6973150849, @@ -2262,7 +2262,7 @@ "2023": 977018.5101860249, "2024": 1005239.7199830206, "2025": 1019140.7252855564, - "2026": 989957.793970457, + "2026": 989957.7939704572, "2027": 952037.7072781003, "2028": 907606.9105066229, "2029": 863910.7742951302, @@ -2332,7 +2332,7 @@ "2015": 154979.57608741015, "2016": 380344.1853311444, "2017": 518264.55082569487, - "2018": 705969.3524962428, + "2018": 705969.3524962427, "2019": 959795.6154595324, "2020": 1195388.5330839371, "2021": 1371785.5025684051, @@ -2417,7 +2417,7 @@ "2022": 350033.47204743075, "2023": 87285.53526802917, "2024": 13250.35602388919, - "2025": 446.893917380131, + "2025": 446.89391738013086, "2026": 0.0, "2027": 0.0, "2028": 0.0, @@ -2495,7 +2495,7 @@ "2022": 134239.07117792816, "2023": 126044.30464372208, "2024": 103831.07323339458, - "2025": 78103.78412718173, + "2025": 78103.78412718172, "2026": 49212.28996251627, "2027": 20127.607666415475, "2028": 1825.6811741628742, @@ -2651,7 +2651,7 @@ "2022": 884232.9004025636, "2023": 1057651.2859251727, "2024": 1133482.2306793185, - "2025": 1172201.3219554382, + "2025": 1172201.321955438, "2026": 1204175.7100374838, "2027": 1231395.3923335846, "2028": 1248347.3188258372, @@ -2803,8 +2803,8 @@ "2018": 815008.8543283319, "2019": 732527.5944628556, "2020": 669562.6401925813, - "2021": 573127.1712978194, - "2022": 474702.36327335244, + "2021": 573127.1712978192, + "2022": 474702.3632733524, "2023": 384478.919365774, "2024": 297429.4251090062, "2025": 204157.74143703512, @@ -2881,7 +2881,7 @@ "2018": 267.0323090239329, "2019": 259.68549411159046, "2020": 268.0636691489658, - "2021": 268.85456931373255, + "2021": 268.85456931373244, "2022": 267.3126379288538, "2023": 265.26756324764165, "2024": 270.8983001608085, @@ -2960,7 +2960,7 @@ "2019": 712358.9547452639, "2020": 756613.8983126037, "2021": 841058.3104221103, - "2022": 925555.2549132025, + "2022": 925555.2549132024, "2023": 990309.8130709783, "2024": 1060467.676590833, "2025": 1136263.4324403268, @@ -5794,237 +5794,2133 @@ }, "supply": { 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