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# Description of extra input files | ||
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## case_id_description_fn | ||
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Contains the two columns `case_id` and `case_description`, which are a short ID and a longer description of each case. The ID is used as a foreign key in other files and the description is used in subfolder names. | ||
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## scenario_definitions_fn | ||
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Starts with mandatory columns `case_id`, which should use `case_id` from the file `case_id_description.csv` as a foreign key, and `year`, which should match the `model_year` values from the settings file. All other columns are user-defined names that refer to the types of parameters in the settings file that will being changed across cases. The values in each column are also user-defined strings describing the scenario (e.g. "high", "mid", "low"). | ||
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The column names and values in each column are used in the settings parameter `settings_management` to define how the default settings values should be changed across each case. | ||
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## distributed_gen_profiles_fn | ||
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Normalized hourly generation profiles for distributed generation in all regions listed in the settings file under `distributed_gen_method` and `distributed_gen_values`. | ||
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## demand_response_fn | ||
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Hourly (not normalized) profiles for demand response resources in each region/year/scenario. The top four rows are the name of the DR resource (matching key values in the settings parameter `demand_response_resources`), the model year, the scenario name (matching names from `scenario_definitions_fn`), and the region. | ||
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## emission_policies_fn | ||
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Describes the emission policies in each case. The first two columns are `case_id` and `year`. Next, the `region` column can either contain the name of a model region or the string "all" (when identical policies are applied to all regions). The column `copy_case_id` indicates if policies from another case should be used (slightly more clear and hopefully fewer errors than just using copy/paste across multiple rows). Other column names should match the columns used in output policy files (e.g. `RPS`, `CES`, etc) and contain numeric values or the string `None`. | ||
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## capacity_limit_spur_fn | ||
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Provides the maximum capacity and spur-line construction distance for new resources. Starts with the required columns `region` and `technology`. `cluster` can be omitted, but is required when more than one resource of the same name is used within a region. | ||
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The data columns in this file are `spur_miles` and `max_capacity`. | ||
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## demand_segments_fn |
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Reg_Req_Percent_Load,Reg_Req_Percent_VRE,Rsv_Req_Percent_Load,Rsv_Req_Percent_VRE,Unmet_Rsv_Penalty_Dollar_per_MW,Dynamic_Contingency,Static_Contingency_MW | ||
0.01,0.0032,0.033,0.0795,1000,0,0 |
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example_systems/CONUS-3-zone/extra_inputs/additional tech documentation.md
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The CSV file in this directory allows a user to add their own technology costs and | ||
heat rate assumptions to cases. | ||
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technology: Name of the technology. Should be distinct in some way from the ATB names, | ||
especially the ATB <technology>_<tech_detail> combination. | ||
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planning_year: The model planning year. This might be different from the basis year that technology costs and attributes are based on. | ||
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capex_mw: USD/MW capital expenses, including construction financing costs, etc. Be sure to | ||
convert from $/kW. | ||
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capex_mwh: USD/MWh capital expenses, including construction financing costs, etc. Used | ||
for storage resources such as batteries. | ||
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fixed_o_m_mw: Fixed O&M costs per MW-year. | ||
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fixed_o_m_mwh: Fixed O&M costs per MWh-year. Used for storage resources such as batteries. | ||
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variable_o_m_mwh: Variable O&M costs per MWh. | ||
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wacc_real: Nominal weighted average cost of capital. | ||
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dollar_year: Year that dollars are calculated for. This is used to convert costs to a | ||
consistent dollar year across inputs. | ||
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heat_rate: MMBTU per MWh | ||
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notes: Not used in calculations, this is a place to document sources, etc. |
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example_systems/CONUS-3-zone/extra_inputs/co2_pipeline_cost_percentiles.csv
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example_systems/CONUS-3-zone/extra_inputs/demand_segments_voll.csv
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Voll,Demand_Segment,Cost_of_Demand_Curtailment_per_MW,Max_Demand_Curtailment,$/MWh | ||
2000,1,1,1,2000 | ||
,2,0.9,0.04,1800 | ||
,3,0.55,0.024,1100 | ||
,4,0.2,0.003,400 |
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example_systems/CONUS-3-zone/extra_inputs/emission_policies.csv
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case_id,year,region,ESR_1,ESR_2,ESR_3,ESR_4,ESR_5,ESR_6 | ||
all,2030,ERCOT,0,0,0,0,0,0 | ||
all,2030,Eastern,0.164,0,0,0.06,0,0 | ||
all,2030,Western,0,0.355,0,0,0.18,0 | ||
all,2050,ERCOT,0,0,0,0,0,0 | ||
all,2050,Eastern,0.202,0,0,0.257,0,0 | ||
all,2050,Western,0,0.368,0,0,0.699,0 |
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example_systems/CONUS-3-zone/extra_inputs/ipm_tx_corrections.csv
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region_from,region_to,firm_ttc_mw,notes | ||
ERC_WEST,ERC_REST,11000, | ||
WECC_MT,MIS_MAPP,200, | ||
WECC_WY,SPP_WAUE,200, | ||
WECC_WY,SPP_NEBR,210,Stegall and Sidney | ||
WECC_CO,SPP_N,210, | ||
WECC_NM,SPP_SPS,400, |
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example_systems/CONUS-3-zone/extra_inputs/misc_gen_inputs.csv
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Resource,region,Min_Power,Self_Disch,Eff_Up,Eff_Down,Min_Duration,Max_Duration,Ramp_Up_Percentage,Ramp_Dn_Percentage,Up_Time,Down_Time,Existing_Charge_Cap_MW,Max_Cap_MWh,Min_Cap_MWh,Max_Charge_Cap_MW,Reg_Cost,Rsv_Cost,Reg_Max,Rsv_Max | ||
biomass,all,,0,1,1,0,0,1,1,0,0,0,-1,-1,-1,0,0,0,0 | ||
conventional_hydroelectric,all,,0,1,1,0,0,0.5,0.5,0,0,0,-1,-1,-1,0,0,0,0 | ||
geothermal,all,,0,1,1,0,0,1,1,0,0,0,-1,-1,-1,0,0,0,0 | ||
hydroelectric_pumped_storage,all,,0,0.866,0.866,1,16,1,1,0,0,0,-1,-1,-1,0,0,0,0 | ||
natural_gas_fired_combined_cycle,all,,0,1,1,0,0,0.64,0.64,6,6,0,-1,-1,-1,0,0,0.106666667,0.213333333 | ||
natural_gas_fired_combustion_turbine,all,,0,1,1,0,0,3.78,3.78,1,1,0,-1,-1,-1,0,0,0.63,1.26 | ||
other_peaker,all,,0,1,1,0,0,3.78,3.78,1,1,0,-1,-1,-1,0,0,0.63,1.26 | ||
natural_gas_steam_turbine,all,,0,1,1,0,0,0.57,0.57,24,24,0,-1,-1,-1,0,0,0.095,0.19 | ||
onshore_wind_turbine,all,,0,1,1,0,0,1,1,0,0,0,-1,-1,-1,0,0,0,0 | ||
small_hydroelectric,all,,0,1,1,0,0,1,1,0,0,0,-1,-1,-1,0,0,0,0 | ||
solar_photovoltaic,all,,0,1,1,0,0,1,1,0,0,0,-1,-1,-1,0,0,0,0 | ||
conventional_steam_coal,all,,0,1,1,0,0,0.57,0.57,24,24,0,-1,-1,-1,0,0,0.095,0.19 | ||
offshore_wind,all,,0,1,1,0,0,1,1,0,0,0,-1,-1,-1,0,0,0,0 | ||
naturalgas_ccccsavgcf,all,0.6,0,1,1,0,0,0.64,0.64,6,6,0,-1,-1,-1,0,0,0.106666667,0.213333333 | ||
naturalgas_ccs100,all,0.6,0,1,1,0,0,0.64,0.64,6,6,0,-1,-1,-1,0,0,0.106666667,0.213333333 | ||
naturalgas_ccavgcf,all,0.2,0,1,1,0,0,0.64,0.64,6,6,0,-1,-1,-1,0,0,0.106666667,0.213333333 | ||
naturalgas_ctavgcf,all,0.3,0,1,1,0,0,3.78,3.78,1,1,0,-1,-1,-1,0,0,0.63,1.26 | ||
landbasedwind,all,0,0,1,1,0,0,1,1,0,0,0,-1,-1,-1,0,0,0,0 | ||
offshorewind,all,0,0,1,1,0,0,1,1,0,0,0,-1,-1,-1,0,0,0,0 | ||
utilitypv,all,0,0,1,1,0,0,1,1,0,0,0,-1,-1,-1,0,0,0,0 | ||
test,all,0,0,0.92,0.92,1,10,1,1,0,0,0,-1,-1,-1,0,0,0,0 | ||
nuclear,all,0.5,0,1,1,0,0,0.25,0.25,24,24,0,-1,-1,-1,0,0,0.041666667,0.083333333 | ||
battery,all,0,0,0.92,0.92,1,10,1,1,0,0,0,-1,-1,-1,0,0,0,0 | ||
batteries,all,0,0,0.92,0.92,1,10,1,1,0,0,0,-1,-1,-1,0,0,0,0 | ||
naturalgas_h-frame cc_moderate,all,0.3,0,1,1,0,0,0.64,0.64,6,6,0,-1,-1,0,0,0,0.106666667,0.213333333 | ||
naturalgas_h-frame cc 95% ccs,all,0.6,0,1,1,0,0,0.64,0.64,6,6,0,-1,-1,0,0,0,0.106666667,0.213333333 | ||
naturalgas_f-frame ct_moderate,all,0.3,0,1,1,0,0,3.78,3.78,1,1,0,-1,-1,0,0,0,0.63,1.26 | ||
naturalgas_h-frame ct_moderate,all,0.3,0,1,1,0,0,3.78,3.78,1,1,0,-1,-1,0,0,0,0.63,1.26 |
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example_systems/CONUS-3-zone/extra_inputs/network_costs_conus_3_zone.csv
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start_region,dest_region,interconnect_cost_mw,interconnect_annuity_mw,line_loss_frac,start_id,dest_id,dollar_year,mw-km_per_mw,start_intraregion_cost_mw,dest_intraregion_cost_mw,start_intraregion_loss_frac,dest_intraregion_loss_frac,start_mw-km_per_mw,dest_mw-km_per_mw,total_interconnect_cost_mw,total_line_loss_frac,total_mw-km_per_mw,total_interconnect_annuity_mw | ||
Eastern,Western,630794.6187,30555.07645,0.045480667,149221,202112,2018,797.9065107,314827.3317,488518.1596,0.022695905,0.031962095,175.8387665,310.2731194,1434140.11,0.100138667,1284.018397,69468.34897 | ||
Eastern,ERCOT,333984.6216,16177.88951,0.020748327,149640,303537,2018,278.501046,314827.3317,271718.0809,0.022695905,0.021446432,175.8387665,222.8032491,920530.0343,0.064890664,677.1430617,44589.57755 | ||
Western,ERCOT,749213.1611,36291.15521,0.059687169,300883,202112,2018,1047.143361,488518.1596,271718.0809,0.031962095,0.021446432,310.2731194,222.8032491,1509449.402,0.113095696,1580.21973,73116.25764 |
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example_systems/CONUS-3-zone/extra_inputs/resource_capacity_spur.csv
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region,technology,cluster,spur_miles,max_capacity | ||
NENGREST,NaturalGas_CCCCS,,20,-1 | ||
NENGREST,NaturalGas_CCAvgCF,,0,-1 | ||
NENGREST,NaturalGas_CT,,0,-1 | ||
NENGREST,Battery,,0,-1 | ||
NENGREST,Nuclear,,50,-1 | ||
NENGREST,NaturalGas_CCS100,,20,-1 | ||
NENG_CT,NaturalGas_CCCCS,,20,-1 | ||
NENG_CT,NaturalGas_CCAvgCF,,0,-1 | ||
NENG_CT,NaturalGas_CT,,0,-1 | ||
NENG_CT,Battery,,0,-1 | ||
NENG_CT,Nuclear,,50,-1 | ||
NENG_CT,NaturalGas_CCS100,,20,-1 | ||
NENG_ME,NaturalGas_CCCCS,,20,-1 | ||
NENG_ME,NaturalGas_CCAvgCF,,0,-1 | ||
NENG_ME,NaturalGas_CT,,0,-1 | ||
NENG_ME,Battery,,0,-1 | ||
NENG_ME,Nuclear,,50,-1 | ||
NENG_ME,NaturalGas_CCS100,,20,-1 |
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example_systems/CONUS-3-zone/extra_inputs/scenario_inputs.csv
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case_id,year,policy,renewable_clustering | ||
p1,2030,unconstrained,base | ||
p1,2050,unconstrained,base | ||
p2,2030,existing_esr,base | ||
p2,2050,existing_esr,base | ||
p3,2030,existing_esr,lat_lon | ||
p3,2050,existing_esr,lat_lon |
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# LOAD GROWTH ASSUMPTIONS | ||
# | ||
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# Hourly demand from 2012 is included with PG. The growth rates from 2012-2019 can be | ||
# calculated using historical data. Different growth scenarios can be selected using the | ||
# same AEO scenarios used for fuel prices. Examples include HIGHMACRO for high growth and | ||
# LOWMACRO for low growth. | ||
regular_load_growth_start_year: 2020 | ||
growth_scenario: REF2022 | ||
load_eia_aeo_year: 2022 | ||
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historical_load_region_map: | ||
TRE: [ERC_PHDL, ERC_REST, ERC_WEST] | ||
FLRC: [FRCC] #FRCC | ||
MWRCE: [MIS_WUMS] | ||
MWRCW: [MIS_MAPP, SPP_WAUE, SPP_NEBR, MIS_MIDA, MIS_IA, MIS_MNWI] | ||
NPCCNE: [NENG_ME, NENG_CT, NENGREST] | ||
NPCCNYWE: [NY_Z_J] | ||
NPCCLI: [NY_Z_K] | ||
NPCCUPNY: [ | ||
NY_Z_A, | ||
NY_Z_B, | ||
NY_Z_C&E, | ||
NY_Z_D, | ||
NY_Z_F, | ||
NY_Z_G-I, | ||
] | ||
RFCET: [PJM_WMAC, PJM_EMAC, PJM_SMAC, PJM_PENE, PJM_Dom] | ||
RFCMI: [MIS_LMI] | ||
RFCWT: [PJM_West, PJM_AP, PJM_ATSI, PJM_COMD] | ||
SERCDLT: [MIS_WOTA, MIS_LA, MIS_AMSO, MIS_AR, MIS_D_MS] | ||
SERCGW: [MIS_MO, S_D_AECI, MIS_IL, MIS_INKY] | ||
SERCSOES: [S_SOU] | ||
SERCCNT: [S_C_TVA, S_C_KY] | ||
SERCVC: [S_VACA] | ||
SWPPNO: [SPP_N] | ||
SWPPSO: [SPP_SPS, SPP_WEST] | ||
WECCSW: [WECC_AZ, WECC_NM, WECC_SNV] | ||
WECCCA: [WEC_CALN, WEC_BANC, WECC_IID, WECC_SCE, WEC_LADW, WEC_SDGE] | ||
WENWPP: [WECC_PNW, WECC_MT, WECC_ID, WECC_WY, WECC_UT, WECC_NNV] | ||
WECCRKS: [WECC_CO] | ||
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future_load_region_map: | ||
TRE: [ERC_PHDL, ERC_REST, ERC_WEST] | ||
FLRC: [FRCC] #FRCC | ||
MCW: [MIS_WUMS, MIS_MNWI, MIS_IA] #MISW | ||
MCE: [MIS_LMI] #MISE | ||
PJMCE: [PJM_COMD] #PJMC | ||
MCC: [MIS_IL, MIS_MO, S_D_AECI, MIS_INKY] #MISC | ||
SWPPNO: [MIS_MAPP, SPP_WAUE, SPP_NEBR, MIS_MIDA] #SPPN | ||
SWPPC: [SPP_N] #SPPC | ||
SWPPSO: [SPP_WEST, SPP_SPS] #SPPS | ||
MCS: [MIS_AMSO, MIS_WOTA, MIS_LA, MIS_AR, MIS_D_MS] #MISS | ||
SERCSOES: [S_SOU] #SRSE | ||
SERCE: [S_VACA] #SRCA | ||
PJMD: [PJM_Dom] | ||
PJMW: [PJM_West, PJM_AP, PJM_ATSI] | ||
PJME: [PJM_WMAC, PJM_EMAC, PJM_SMAC, PJM_PENE] | ||
SERCCNT: [S_C_TVA, S_C_KY] #SRCE | ||
NPCCUPNY: [ | ||
NY_Z_A, | ||
NY_Z_B, | ||
NY_Z_C&E, | ||
NY_Z_D, | ||
NY_Z_F, | ||
NY_Z_G-I, | ||
] #NYUP | ||
NENYCLI: [NY_Z_J, NY_Z_K] #NYCW | ||
NPCCNE: [NENG_ME, NENGREST, NENG_CT] #ISNE | ||
WECCRKS: [WECC_CO] #RMRG | ||
WECCB: [WECC_ID, WECC_WY, WECC_UT, WECC_NNV] #BASN | ||
WENWPP: [WECC_PNW, WECC_MT] #NWPP | ||
WECCCAN: [WEC_CALN, WEC_BANC] #CANO | ||
WECCCAS: [WECC_IID, WECC_SCE, WEC_LADW, WEC_SDGE] #CASO | ||
WECCSW: [WECC_AZ, WECC_NM, WECC_SNV] #SRSG | ||
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# Make none (~) if no regions are included here | ||
alt_growth_rate: ~ | ||
# WECC_AZ: 0.02 |
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# Name of the data file located in the folder specified by the parameter | ||
# DISTRIBUTED_GEN_DATA | ||
distributed_gen_fn: nrel_cambium_distr_pv_2022_utc.parquet | ||
distributed_gen_scenario: MidCase | ||
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# Set this parameter to "true" if existing distributed generation in each region should | ||
# be represented as a resource rather than being subtracted from demand. | ||
dg_as_resource: false | ||
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# Distribution loss used when subtracting distributed generation from total load. | ||
avg_distribution_loss: 0.0453 |
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PUDL_DB: | ||
PG_DB: | ||
EFS_DATA: | ||
DISTRIBUTED_GEN_DATA: | ||
RESOURCE_GROUP_PROFILES: | ||
RESOURCE_GROUPS: |
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# The location and name of additional input files needed to create outputs | ||
input_folder: extra_inputs # Subfolder directly below the location of this settings file | ||
scenario_definitions_fn: scenario_inputs.csv # Define policy/cost scenarios for each case | ||
emission_policies_fn: emission_policies.csv # Emission policies for each model_year/region/case_id | ||
capacity_limit_spur_fn: resource_capacity_spur.csv # Max capacity and spur line distance for each renewable resource | ||
demand_segments_fn: demand_segments_voll.csv | ||
misc_gen_inputs_fn: misc_gen_inputs.csv | ||
user_transmission_costs: network_costs_conus_3_zone.csv | ||
user_transmission_constraints_fn: ipm_tx_corrections.csv | ||
co2_pipeline_cost_fn: co2_pipeline_cost_percentiles.csv | ||
reserves_fn: Reserves.csv |
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# Flexible loads associated with increased electrification can be included using data | ||
# from NREL's EFS study (described below) or using user input files. This case study | ||
# uses EFS data. | ||
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# Electrification scenarios are supplied in two files. EFS_STOCK_AGG.parquet has scenarios | ||
# from the NREL Electrification Futures Study (EFS). SCENARIO_STOCK.parquet has scenarios | ||
# from the Princeton Net Zero study. The scenario name will depend on which source you | ||
# use. The NREL EFS scenarios include: | ||
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# HIGH ELECTRIFICATION - MODERATE TECHNOLOGY ADVANCEMENT | ||
# MEDIUM ELECTRIFICATION - MODERATE TECHNOLOGY ADVANCEMENT | ||
# REFERENCE ELECTRIFICATION - MODERATE TECHNOLOGY ADVANCEMENT | ||
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# The Princeton Net Zero scenarios include: | ||
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# current_policy | ||
# stated_policy | ||
# deep_decarbonization | ||
# moderate_decarbonization | ||
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# The type of flexible loads that can be included as flexible demand resources (with hourly | ||
# profiles from NREL EFS data) are: | ||
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# res_space_heat_cool (residential space heating and cooling) | ||
# res_water_heat (residential water heating) | ||
# comm_space_heat_cool (commercial space heating and cooling) | ||
# comm_water_heat (commercial water heating) | ||
# trans_light_duty (light duty vehicles) | ||
# trans_medium_duty (medium duty vehicles) | ||
# trans_heavy_duty (heavy duty vehicles) | ||
# trans_bus (transit buses) | ||
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electrification_stock_fn: repeat_scenario_stock.parquet # EFS_STOCK_AGG.parquet | ||
electrification_scenario: IRA_MID # REFERENCE ELECTRIFICATION - MODERATE TECHNOLOGY ADVANCEMENT | ||
# Name of the flexible resource, fraction of load that can be shifted, and model-specific | ||
# parameters that will be applied to each resource. | ||
# Table 5.1 from the NREL report "Electrification Futures Study: | ||
# Scenarios of Electric Technology Adoption and Power Consumption for the United States" | ||
# can serve as a starting point for determining parameter values. | ||
flexible_demand_resources: | ||
2030: | ||
trans_light_duty: | ||
fraction_shiftable: 0.8 | ||
parameter_values: | ||
Max_Flexible_Demand_Delay: 5 | ||
FLEX: 1 | ||
Flexible_Demand_Energy_Eff: 1 | ||
res_water_heat: | ||
fraction_shiftable: 0.1 | ||
parameter_values: | ||
Max_Flexible_Demand_Delay: 2 | ||
FLEX: 1 | ||
Flexible_Demand_Energy_Eff: 1 | ||
2050: | ||
trans_light_duty: | ||
fraction_shiftable: 0.8 | ||
parameter_values: | ||
Max_Flexible_Demand_Delay: 5 | ||
FLEX: 1 | ||
res_water_heat: | ||
fraction_shiftable: 0.25 | ||
parameter_values: | ||
Max_Flexible_Demand_Delay: 2 | ||
FLEX: 1 | ||
Flexible_Demand_Energy_Eff: 1 |
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