narySt/CommitChronicle_valPretrained · Datasets at Hugging Face

Update PUDL db link (v2 includes ATB 2020 data)

MODIFY README.md README.md @@ -55,7 +55,7 @@ conda activate powergenome pip install -e . ``` -5. Download a [modifed version of the PUDL database](https://drive.google.com/open?id=17hTZUKweDMqUi2wvBdubaqVhMRgnN5o5) that includes NREL ATB cost data and is not yet included in PUDL. +5. Download a [modifed version of the PUDL database](https://drive.google.com/file/d/1DamR83bR9DyY-gdXac6xYnp5iFhhzgO4/view?usp=sharing) that includes NREL ATB cost data and is not yet included in PUDL. **NOTE: this database was updated for PowerGenome v0.4.0 and is not compatable with earlier versions.** 6. Download the [renewable resource data](https://drive.google.com/file/d/1g0Q6TdNp4C12HQJy6pAURzp_oVg0Q7ly/view?usp=sharing) containing generation profiles and capacity for existing and new-build renewable resources. Save and unzip this file. The suggested location for all of the unzipped files is `PowerGenome/data/resource_groups/`. These files will eventually be provided through a data repository with citation information.

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Change to master DOI for all versions Stick with mater DOI rather than version specific DOI

MODIFY README.md README.md [![Build Status](https://travis-ci.com/gschivley/PowerGenome.svg?token=yTGQ4JcCGLW2GZpmvXHw&branch=master)](https://travis-ci.com/gschivley/PowerGenome) [![codecov](https://codecov.io/gh/gschivley/PowerGenome/branch/master/graph/badge.svg?token=7KJYLE3jOW)](https://codecov.io/gh/gschivley/PowerGenome) [![code style black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) -[![DOI](https://zenodo.org/badge/197630673.svg)](https://zenodo.org/badge/latestdoi/197630673) +[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4426097.svg)](https://doi.org/10.5281/zenodo.4426097) **Note:** The code and data for PowerGenome are under active development and some changes may break existing functions. Keep up to date with major code and data releases by joining [PowerGenome on groups.io](https://groups.io/g/powergenome).

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Update README.md Fix old link to modified PUDL database

MODIFY README.md README.md @@ -22,7 +22,7 @@ The goal of PowerGenome is to let a user make all of these choices in a settings ## Data -PowerGenome uses data from a number of different sources, including EIA, NREL, and EPA. Most of the data are already compiled into a [single sqlite database](https://drive.google.com/open?id=17hTZUKweDMqUi2wvBdubaqVhMRgnN5o5) (see instructions for using it below). There are also a few data files stored in this repository: +PowerGenome uses data from a number of different sources, including EIA, NREL, and EPA. Most of the data are already compiled into a [single sqlite database](https://drive.google.com/file/d/1DamR83bR9DyY-gdXac6xYnp5iFhhzgO4/view?usp=sharing) (see instructions for using it below). There are also a few data files stored in this repository: - Regional cost multipliers for individual technologies developed by EIA (`data/cost_multipliers/AEO_2020_regional_cost_corrections.csv`). - A simplified geojson version of EPA's shapefile for IPM regions (`data/ipm_regions_simple.geojson`).

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Fix km to mile conversion

MODIFY powergenome/nrelatb.py powergenome/nrelatb.py @@ -282,7 +282,7 @@ def fetch_atb_offshore_spur_costs( ) # ATB assumes a 30km distance for offshore spur. Normalize to per mile - spur_costs["capex_mw_mile"] = spur_costs["capex_mw"] / 30 * 1.60934 + spur_costs["capex_mw_mile"] = spur_costs["capex_mw"] / 30 / 1.60934 return spur_costs

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Read 860m with flexible number of header/footer rows

MODIFY powergenome/generators.py powergenome/generators.py @@ -1358,7 +1358,19 @@ def clean_860m_sheet( """ df = eia_860m.parse( - sheet_name=sheet_name, skiprows=1, skipfooter=1, na_values=[" "] + sheet_name=sheet_name, na_values=[" "] + ) + for idx, row in df.iterrows(): + if row.iloc[0] == "Entity ID": + sr = idx + 1 + break + + for idx in list(range(-10, 0)): + if isinstance(df.iloc[idx, 0], str): + sf = -idx + break + df = eia_860m.parse( + sheet_name=sheet_name, skiprows=sr, skipfooter=sf, na_values=[" "] ) df = df.rename(columns=planned_col_map)

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Version bump to 0.4.1

MODIFY setup.py setup.py @@ -3,7 +3,7 @@ from setuptools import find_packages, setup setup( name="powergenome", packages=find_packages(), - version="0.4.0", + version="0.4.1", description="Extract PUDL data for use in power system models", author="Greg Schivley", entry_points={

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Add a parameter for AEO load growth scenario

MODIFY example_system/test_settings.yml example_system/test_settings.yml @@ -952,6 +952,7 @@ additional_planned: ~ # historical data default_load_year: 2012 regular_load_growth_start_year: 2019 +growth_scenario: REF2020 historical_load_region_maps: TRE: [ERC_PHDL, ERC_REST, ERC_WEST] MODIFY powergenome/load_profiles.py powergenome/load_profiles.py @@ -94,11 +94,12 @@ def add_load_growth(load_curves: pd.DataFrame, settings: dict) -> pd.DataFrame: for ipm_region in keep_regions } + growth_scenario = settings.get("growth_scenario", "REF2020") load_growth_dict = { ipm_region: get_aeo_load( region=future_region_map[ipm_region], aeo_year=settings.get("eia_aeo_year", 2020), - scenario_series="REF2020", + scenario_series=growth_scenario, ).set_index("year") for ipm_region in keep_regions }

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Remove units retiring in planning year Previously kept units retiring in the planning year. Decided to change so that the model will plan for a system without those resources.

MODIFY powergenome/generators.py powergenome/generators.py @@ -471,7 +471,7 @@ def label_retirement_year( logger.info("Changing retirement dates based on settings file") model_year = settings["model_year"] start_ret_cap = df.loc[ - df["retirement_year"] < model_year, settings["capacity_col"] + df["retirement_year"] <= model_year, settings["capacity_col"] ].sum() logger.info(f"Starting retirement capacity is {start_ret_cap} MW") i = 0 @@ -493,7 +493,7 @@ def label_retirement_year( ].sum() end_ret_cap = df.loc[ - df["retirement_year"] < model_year, settings["capacity_col"] + df["retirement_year"] <= model_year, settings["capacity_col"] ].sum() logger.info(f"Ending retirement capacity is {end_ret_cap} MW") if not end_ret_cap > start_ret_cap: @@ -2294,12 +2294,12 @@ class GeneratorClusters: region_tech_grouped = self.units_model.loc[ (self.units_model.technology.isin(techs)) - & (self.units_model.retirement_year >= self.settings["model_year"]), + & (self.units_model.retirement_year > self.settings["model_year"]), :, ].groupby(["model_region", "technology"]) self.retired = self.units_model.loc[ - self.units_model.retirement_year < self.settings["model_year"], : + self.units_model.retirement_year <= self.settings["model_year"], : ] # gens_860 lost the ownership code... refactor this!

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Fix user-supplied regional cost multipliers This isn't advertised, but users can supply multipliers for regional cost factors.

MODIFY powergenome/nrelatb.py powergenome/nrelatb.py @@ -1017,11 +1017,12 @@ def atb_new_generators(atb_costs, atb_hr, settings): ) if settings.get("user_regional_cost_multiplier_fn"): user_cost_multipliers = pd.read_csv( - Path(settings["extra_inputs"]) - / settings["user_regional_cost_multiplier_fn"] + Path(settings["input_folder"]) + / settings["user_regional_cost_multiplier_fn"], + index_col=0 ) regional_cost_multipliers = pd.concat( - [regional_cost_multipliers, user_cost_multipliers] + [regional_cost_multipliers, user_cost_multipliers], axis=1 ) rev_mult_region_map = reverse_dict_of_lists(settings["cost_multiplier_region_map"]) rev_mult_tech_map = reverse_dict_of_lists(

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Bug fix when no regional tags If the parameter is in settings file with value of ~ (None), .get returns "None". Should be an empty dict instead.

MODIFY powergenome/generators.py powergenome/generators.py @@ -1229,7 +1229,7 @@ def add_genx_model_tags(df, settings): logger.warning(f"No model tag values found for {tag_col} ({e})") # Change tags with specific regional values for a technology - flat_regional_tags = flatten(settings.get("regional_tag_values", {})) + flat_regional_tags = flatten(settings.get("regional_tag_values", {}) or {}) for tag_tuple, tag_value in flat_regional_tags.items(): region, tag_col, tech = tag_tuple @@ -1357,9 +1357,7 @@ def clean_860m_sheet( One of the sheets from 860m """ - df = eia_860m.parse( - sheet_name=sheet_name, na_values=[" "] - ) + df = eia_860m.parse(sheet_name=sheet_name, na_values=[" "]) for idx, row in df.iterrows(): if row.iloc[0] == "Entity ID": sr = idx + 1 @@ -2263,10 +2261,7 @@ class GeneratorClusters: self.units_model.rename(columns={"technology_description": "technology"}) .query("technology.isin(@techs).values") .pipe( - atb_fixed_var_om_existing, - self.atb_hr, - self.settings, - self.pudl_engine, + atb_fixed_var_om_existing, self.atb_hr, self.settings, self.pudl_engine ) )

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Make RPS/CES optional in network file

MODIFY powergenome/run_powergenome_multiple_outputs_cli.py powergenome/run_powergenome_multiple_outputs_cli.py @@ -430,7 +430,10 @@ def main(): network_max_reinforcement, settings=_settings ).pipe(network_reinforcement_cost, settings=_settings) + if _settings.get("emission_policies_fn"): network = add_emission_policies(transmission, _settings) + else: + network = transmission # Change the CES limit for cases where it's emissions based if "emissions_ces_limit" in _settings: @@ -439,7 +442,7 @@ def main(): # If single-value for CES, use that value for input to GenX # settings creation. This way values that are calculated internally # get used. - if network["CES"].std() == 0: + if "CES" in network.columns and network["CES"].std() == 0: ces = network["CES"].mean() else: ces = None

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Specify numpy 1.19 to avoid pandas conflict. Also remove defaults channel.

MODIFY environment.yml environment.yml name: powergenome channels: - conda-forge - - defaults + # - defaults dependencies: - python=3.7 # Remove for tox.ini & setup.py - pip - conda-forge::catalystcoop.pudl=0.3 + - conda-forge::numpy=1.19 - jupyterlab - black - pytest @@ -17,6 +18,7 @@ dependencies: - pre-commit - conda-forge::nb_conda_kernels - xlrd=1.2 + - conda-forge::fastparquet # GIS dependencies from conda-forge - conda-forge::fiona

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Whitespace formatting

MODIFY powergenome/run_powergenome_multiple_outputs_cli.py powergenome/run_powergenome_multiple_outputs_cli.py @@ -208,7 +208,7 @@ def main(): alt_method = True Total_Load = MakeLoadProfiles(scenario_settings, out_folder) - breakpoint() + # breakpoint() i = 0 model_regions_gdf = None for year in scenario_settings:

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Add "Network_zones" col required by GenX

MODIFY powergenome/run_powergenome_multiple_outputs_cli.py powergenome/run_powergenome_multiple_outputs_cli.py @@ -440,7 +440,10 @@ def main(): transmission = transmission.pipe( network_max_reinforcement, settings=_settings ).pipe(network_reinforcement_cost, settings=_settings) + zones = settings["model_regions"] + network_zones = [f"z{n+1}" for n in range(len(zones))] network = transmission + network["Network_zones"] = network_zones if _settings.get("emission_policies_fn"): # network = add_emission_policies(transmission, _settings)

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Make network/gen_data files match GenX format Add the Network_zones column to network file Add all requested cols to gen_data

MODIFY powergenome/run_powergenome_multiple_outputs_cli.py powergenome/run_powergenome_multiple_outputs_cli.py @@ -268,6 +268,9 @@ def main(): gens = calculate_partial_CES_values( gen_clusters, fuels, _settings ).pipe(fix_min_power_values, gen_variability) + for col in _settings["generator_columns"]: + if col not in gens.columns: + gens[col] = 0 cols = [c for c in _settings["generator_columns"] if c in gens] write_results_file( @@ -442,8 +445,9 @@ def main(): ).pipe(network_reinforcement_cost, settings=_settings) zones = settings["model_regions"] network_zones = [f"z{n+1}" for n in range(len(zones))] - network = transmission - network["Network_zones"] = network_zones + nz_df = pd.Series(data=network_zones, name="Network_zones") + network = pd.concat([pd.DataFrame(nz_df), transmission], axis=1) + # network["Network_zones"] = network_zones if _settings.get("emission_policies_fn"): # network = add_emission_policies(transmission, _settings)

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Change param default to match new GenX name

MODIFY powergenome/GenX.py powergenome/GenX.py @@ -636,7 +636,7 @@ def calc_emissions_ces_level(network_df, load_df, settings): def fix_min_power_values( resource_df: pd.DataFrame, gen_profile_df: pd.DataFrame, - min_power_col: str = "Min_power", + min_power_col: str = "Min_Power", ) -> pd.DataFrame: """Fix potentially erroneous min power values for resources with variable generation profiles. Any min power values that are higher than the lowest hourly generation

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Network file fixes Move column formatting functions up Remove incorrect code

MODIFY powergenome/run_powergenome_multiple_outputs_cli.py powergenome/run_powergenome_multiple_outputs_cli.py @@ -440,9 +440,12 @@ def main(): # transmission = agg_transmission_constraints( # pudl_engine=pudl_engine, settings=_settings # ) - transmission = transmission.pipe( - network_max_reinforcement, settings=_settings - ).pipe(network_reinforcement_cost, settings=_settings) + transmission = ( + transmission.pipe(network_max_reinforcement, settings=_settings) + .pipe(network_reinforcement_cost, settings=_settings) + .pipe(set_int_cols) + .pipe(round_col_values) + ) zones = settings["model_regions"] network_zones = [f"z{n+1}" for n in range(len(zones))] nz_df = pd.Series(data=network_zones, name="Network_zones") @@ -453,8 +456,6 @@ def main(): # network = add_emission_policies(transmission, _settings) energy_share_req = create_policy_req(_settings, col_str_match="ESR") co2_cap = create_policy_req(_settings, col_str_match="CO_2") - else: - network = transmission # Change the CES limit for cases where it's emissions based # if "emissions_ces_limit" in _settings: @@ -469,7 +470,7 @@ def main(): # ces = None write_results_file( - df=network.pipe(set_int_cols).pipe(round_col_values), + df=network, folder=case_folder, file_name="Network.csv", include_index=False,

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Reconcile gen ids in fgd csv and PUDL PUDL has several gen ids with leading 0's, which aren't present in the CSV of FGD data.

MODIFY powergenome/nrelatb.py powergenome/nrelatb.py @@ -321,7 +321,7 @@ def atb_fixed_var_om_existing( atb_hr_df: pd.DataFrame, settings: dict, pudl_engine: sqlalchemy.engine.base.Engine, - coal_fgd_df: pd.DataFrame + coal_fgd_df: pd.DataFrame, ) -> pd.DataFrame: """Add fixed and variable O&M for existing power plants @@ -597,8 +597,15 @@ def atb_fixed_var_om_existing( age = settings["model_year"] - _df.operating_date.dt.year age = age.fillna(age.mean()) age = age.fillna(40) - gen_ids = _df["generator_id"] - fgd = coal_fgd_df.query("plant_id_eia == @plant_id & generator_id in @gen_ids")["fgd"].values + gen_ids = _df["generator_id"].to_list() + fgd = coal_fgd_df.query( + "plant_id_eia == @plant_id & generator_id in @gen_ids" + )["fgd"].values + if not np.any(fgd): + gen_ids = [g.lstrip("0") for g in gen_ids] + fgd = coal_fgd_df.query( + "plant_id_eia == @plant_id & generator_id in @gen_ids" + )["fgd"].values # https://www.eia.gov/analysis/studies/powerplants/generationcost/pdf/full_report.pdf annual_capex = (16.53 + (0.126 * age) + (5.68 * fgd)) * 1000

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Compatability with pudl 0.4 Use new clean_merge_asof function in place of old merge_on_date_year Specify series name after groupby, fixes error from pandas upgrade

MODIFY powergenome/generators.py powergenome/generators.py @@ -1028,13 +1028,11 @@ def calculate_weighted_heat_rate(heat_rate_df): ) return weighted_hr - weighted_unit_hr = ( - heat_rate_df.groupby(["plant_id_eia", "unit_id_pudl"], as_index=False) - .apply(w_hr) - .reset_index() + weighted_unit_hr = heat_rate_df.groupby(["plant_id_eia", "unit_id_pudl"]).apply( + w_hr ) - - weighted_unit_hr = weighted_unit_hr.rename(columns={0: "heat_rate_mmbtu_mwh"}) + weighted_unit_hr.name = "heat_rate_mmbtu_mwh" + weighted_unit_hr = weighted_unit_hr.reset_index() return weighted_unit_hr @@ -1637,8 +1635,12 @@ def gentype_region_capacity_factor( """ generation = pd.read_sql_query(sql, pudl_engine, parse_dates={"report_date": "%Y"}) - capacity_factor = pudl.helpers.merge_on_date_year( - plant_tech_cap, generation, on=["plant_id_eia"], how="left" + capacity_factor = pudl.helpers.clean_merge_asof( + generation, + plant_tech_cap, + left_on="report_date", + right_on="report_date", + by={"plant_id_eia": "eia"}, ) if settings.get("group_technologies"):

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Update env to use pudl 0.4

MODIFY environment.yml environment.yml -name: powergenome +name: pg_pudl_update channels: - conda-forge - defaults dependencies: - - python=3.7 # Remove for tox.ini & setup.py + - python>=3.8 # Remove for tox.ini & setup.py - pip - - conda-forge::catalystcoop.pudl=0.3 + - conda-forge::catalystcoop.pudl=0.4 - jupyterlab - black - pytest @@ -16,7 +16,7 @@ dependencies: - isort - pre-commit - conda-forge::nb_conda_kernels - - xlrd=1.2 + # - xlrd=1.2 # GIS dependencies from conda-forge - conda-forge::fiona

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Copy reserves CSV file from extra_inputs to case folder The reserves file is simple and unlikely to change much across cases. Just put a version of in extra_inputs and copy it. Other files can be used by changing the "reserves_fn" parameter.

ADD example_system/extra_inputs/Reserves.csv +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 \ No newline at end of file MODIFY example_system/test_settings.yml example_system/test_settings.yml @@ -27,6 +27,7 @@ region_wind_pv_cap_fn: existing_wind_pv_capacity.csv demand_segments_fn: test_demand_segments_voll.csv misc_gen_inputs_fn: test_misc_gen_inputs.csv genx_settings_fn: GenX_settings.yml # In the same folder as this file, not in "input_folder" subfolder +reserves_fn: Reserves.csv # regional_load_fn: test_regional_load_profiles.csv #Externally provide load data # If regional load is provided by the user and it already includes demand response MODIFY powergenome/run_powergenome_multiple_outputs_cli.py powergenome/run_powergenome_multiple_outputs_cli.py @@ -535,6 +535,11 @@ def main(): file_name="Fuels_data.csv", include_index=True, ) + if _settings.get("reserves_fn"): + shutil.copy( + _settings["input_folder"] / _settings["reserves_fn"], + case_folder / "Inputs", + ) if _settings.get("genx_settings_fn"): genx_settings = make_genx_settings_file(pudl_engine, _settings)

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Update atb_modifiers col names in settings docs

MODIFY example_system/settings_documentation.md example_system/settings_documentation.md @@ -414,13 +414,13 @@ type: Dict[str, Dict[str, Union[str, list]]] description: This parameter modifies parameters for ATB technologies in-place (keeping the same name). Top-level keys are user names for each resource and are not used by PowerGenome. Below the top level, a dictionary with the ATB `technology` and `tech_detail` will also include keys of column names that should be modified. The values for each of these keys is a list, where the first value is a string operator name (`add`, `mul`, `truediv`, or `sub`) and the second value is the numeric value. Valid column names are -- `Var_OM_cost_per_MWh` -- `Fixed_OM_cost_per_MWyr` -- `Fixed_OM_cost_per_MWhyr` -- `Heat_rate_MMBTU_per_MWh` -- `capex` +- `Var_OM_Cost_per_MWh` +- `Fixed_OM_Cost_per_MWyr` +- `Fixed_OM_Cost_per_MWhyr` +- `Heat_Rate_MMBTU_per_MWh` +- `capex_mw` - `capex_mwh` -- `wacc` +- `wacc_real` ### modified_atb_new_gen

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Add tag cols to Generator_data file If they are not included in the settings file, add them now.

MODIFY powergenome/generators.py powergenome/generators.py @@ -1225,6 +1225,10 @@ def add_genx_model_tags(df, settings): default = settings.get("default_model_tag", 0) for tag_col in settings.get("model_tag_names", []): df[tag_col] = default + if tag_col not in settings.get("generator_columns", []) and isinstance( + settings.get("generator_columns"), list + ): + settings["generator_columns"].append(tag_col) try: for tech, tag_value in settings["model_tag_values"][tag_col].items():

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Add new model tags Reg_Max and Rsv_Max

MODIFY example_system/test_settings.yml example_system/test_settings.yml @@ -558,6 +558,8 @@ model_tag_names: - Hydro_Energy_to_Power_Ratio - MinCapTag_1 - MinCapTag_2 + - Reg_Max + - Rsv_Max default_model_tag: 0 @@ -1284,10 +1286,8 @@ generator_columns: [ "Down_Time", "NACC_Eff", "NACC_Peak_to_Base", - "Reg_Up", - "Reg_Dn", - "Rsv_Up", - "Rsv_Dn", + "Reg_Max", + "Rsv_Max", "Reg_Cost", "Rsv_Cost", "spur_miles",

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Update README for version bump and fix env name

MODIFY environment.yml environment.yml -name: pg_pudl_update +name: powergenome channels: - conda-forge - defaults @@ -16,7 +16,7 @@ dependencies: - isort - pre-commit - conda-forge::nb_conda_kernels - # - xlrd=1.2 + - fastparquet # GIS dependencies from conda-forge - conda-forge::fiona

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Fix bug where num units < num clusters sklearn raises an error if the number of operating units is less than the number of clusters. Change the number of clusters and alert the user.

MODIFY powergenome/generators.py powergenome/generators.py @@ -2345,6 +2345,16 @@ class GeneratorClusters: # "minimum_load_mw", "heat_rate_mmbtu_mwh", ] + if len(grouped) < num_clusters[region][tech]: + s = f""" + ***************************** + The technology {tech} in region {region} has only {len(grouped)} operating units, + which is less than the {num_clusters[region][tech]} clusters you specified. + The number of clusters has been set equal to the number of units. + ***************************** + """ + logger.info(s) + num_clusters[region][tech] = len(grouped) clusters = cluster.KMeans( n_clusters=num_clusters[region][tech], random_state=6 ).fit(

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Pushed via gitpush

MODIFY powergenome/util.py powergenome/util.py @@ -57,6 +57,33 @@ def check_settings(settings: dict, pudl_engine: sa.engine) -> None: itertools.chain.from_iterable(settings["aeo_fuel_region_map"].values()) ) + techs = settings["atb_new_gen"] + + for tech in techs: + tech, tech_detail, cost_case, _ = tech + + s = f""" + SELECT technology, tech_detail + from technology_costs_nrelatb + where + technology == "{tech}" + AND tech_detail == "{tech_detail}" + """ + if ( + len( + pudl_engine.execute( + s, + ).fetchall() + ) + == 0 + ): + s = f""" + ***************************** + The technology {tech} - {tech_detail} listed in your settings file under 'atb_new_gen' does not match any NREL ATB technologies. Check your settings file to ensure it is spelled correctly" + ***************************** + """ + logger.warning(s) + for agg_region, ipm_regions in (settings.get("region_aggregations") or {}).items(): for ipm_region in ipm_regions: if ipm_region not in ipm_region_list:

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Fix for missing fgd values The fgd data file I'm using has some missing plants.

MODIFY powergenome/nrelatb.py powergenome/nrelatb.py @@ -606,6 +606,9 @@ def atb_fixed_var_om_existing( fgd = coal_fgd_df.query( "plant_id_eia == @plant_id & generator_id in @gen_ids" )["fgd"].values + if not np.any(fgd): + # If FGD isn't found, use average of with/without FGD + fgd = np.ones_like(age) * 0.5 # https://www.eia.gov/analysis/studies/powerplants/generationcost/pdf/full_report.pdf annual_capex = (16.53 + (0.126 * age) + (5.68 * fgd)) * 1000

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Fix when external wind/solar cap values are missing

MODIFY powergenome/external_data.py powergenome/external_data.py @@ -428,12 +428,15 @@ def overwrite_wind_pv_capacity(df, settings): for region in df["region"].unique(): for tech in ["Solar Photovoltaic", "Onshore Wind Turbine"]: if tech in df.query("region == @region")["technology"].to_list(): + try: df.loc[ (df["region"] == region) & (df["technology"] == tech), "Existing_Cap_MW", ] = wind_pv_model_region_capacity.loc[ idx[region, tech], "nameplate_capacity_mw" ] + except: + pass df = df.set_index(["region", "technology", "cluster"])

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Check object type before dropna

MODIFY powergenome/GenX.py powergenome/GenX.py @@ -50,9 +50,17 @@ def create_policy_req(settings: dict, col_str_match: str) -> pd.DataFrame: if len(policy_cols) == 0: return None - year_case_policy = policies.loc[ - (case_id, model_year), ["region"] + policy_cols - ].dropna(subset=policy_cols) + year_case_policy = policies.loc[(case_id, model_year), ["region"] + policy_cols] + if isinstance(year_case_policy, pd.DataFrame): + year_case_policy = year_case_policy.dropna(subset=policy_cols) + elif isinstance(year_case_policy, pd.Series): + year_case_policy = year_case_policy.dropna() + else: + raise TypeError( + "Somehow the object 'year_case_policy' is not a dataframe of a series." + "Please submit this as an issue in the PowerGenome repository." + f"{year_case_policy}" + ) # Bug where multiple regions for a case will return this as a df, even if the policy # for this case applies to all regions (code below expects a Series) ycp_shape = year_case_policy.shape

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Copy whole genx settings folder

MODIFY powergenome/run_powergenome_multiple_outputs_cli.py powergenome/run_powergenome_multiple_outputs_cli.py @@ -533,6 +533,12 @@ def main(): if _settings.get("genx_settings_fn"): shutil.copy(cwd / _settings["genx_settings_fn"], case_folder / "Inputs") + if _settings.get("genx_settings_folder"): + genx_settings_folder = case_folder / "Settings" + genx_settings_folder.mkdir(exist_ok=True) + for f in (cwd / _settings.get("genx_settings_folder")).glob("*.yml"): + shutil.copy(f, genx_settings_folder) + write_case_settings_file( settings=_settings, folder=case_folder,

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modified cli

MODIFY powergenome/run_powergenome_multiple_outputs_cli.py powergenome/run_powergenome_multiple_outputs_cli.py @@ -463,12 +463,9 @@ def main(): energy_share_req = create_policy_req(_settings, col_str_match="ESR") co2_cap = create_policy_req(_settings, col_str_match="CO_2") min_cap = min_cap_req(_settings) -<<<<<<< HEAD -======= cap_res = create_regional_cap_res(_settings) ->>>>>>> 3565b926f9284784580e1019075ea763ebdde650 write_results_file( df=network, folder=case_folder,

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Add omitted MIS_D_MS to historical load regions

MODIFY example_system/test_settings.yml example_system/test_settings.yml @@ -979,7 +979,7 @@ historical_load_region_maps: 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] + 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]

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Add all geothermal techs for reginal multiplier

MODIFY example_system/test_settings.yml example_system/test_settings.yml @@ -1000,7 +1000,7 @@ cost_multiplier_technology_map: Solar thermal: [CSP] Solar PV - tracking: [UtilityPV, CommPV, ResPV] Battery storage: [Battery_*] - Geothermal: [Geothermal] + Geothermal: [Geothermal_HydroBinary, Geothermal_HydroFlash, Geothermal_NFEGSBinary, Geothermal_DeepEGSBinary, Geothermal_NFEGSFlash, Geothermal_DeepEGSFlash] Conventional hydropower: [Hydropower]

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Bug fix and data update The +1 ends up skipping a year.

MODIFY powergenome/price_adjustment.py powergenome/price_adjustment.py @@ -97,7 +97,7 @@ def get_cpi_data(start_year: int = 1980, end_year: int = None) -> pd.DataFrame: ) a_cpi_df = a_cpi_df.query("period == 12") df_list.append(a_cpi_df) - start_year = e_y + 1 + start_year = e_y e_y = start_year + 10 annual_cpi = pd.concat(df_list)

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Calc demand ratio using full IPM load I made a change before to only include states in the model regions. This caused ratio_A to be very large, increading demand.

MODIFY powergenome/load_construction.py powergenome/load_construction.py @@ -205,6 +205,8 @@ def CreateBaseLoad( } model_states = pop.loc[pop["GenX.Region"].isin(regions), "State"] EFS_2020_LoadProf = pd.read_parquet(path_in / "EFS_REF_load_2020.parquet") + total_efs_2020_load = EFS_2020_LoadProf["LoadMW"].sum() + EFS_2020_LoadProf = EFS_2020_LoadProf.loc[ EFS_2020_LoadProf["State"].isin(model_states), : ] @@ -231,7 +233,8 @@ def CreateBaseLoad( ratio_A = ( Original_Load_2019["LoadMW_original"].sum() - / EFS_2020_LoadProf["weighted"].sum() + # / EFS_2020_LoadProf["weighted"].sum() + / total_efs_2020_load ) EFS_2020_LoadProf["weighted"] *= ratio_A

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Uncomment NZA_electrification param

MODIFY example_system/test_settings2.yml example_system/test_settings2.yml @@ -73,7 +73,7 @@ distributed_gen_values: avg_distribution_loss: 0.0453 # NZA electrifications scenarios: current_policy, deep_decarbonization, moderate_decarbonization, stated_policy -# NZA_electrification: current_policy +NZA_electrification: current_policy # Name of the DSM resource, fraction of load that can be shifted, and number of hours # that it can be shifted

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Wrap warning message string

MODIFY powergenome/util.py powergenome/util.py @@ -69,17 +69,12 @@ def check_settings(settings: dict, pudl_engine: sa.engine) -> None: technology == "{tech}" AND tech_detail == "{tech_detail}" """ - if ( - len( - pudl_engine.execute( - s, - ).fetchall() - ) - == 0 - ): + if len(pudl_engine.execute(s).fetchall()) == 0: s = f""" ***************************** - The technology {tech} - {tech_detail} listed in your settings file under 'atb_new_gen' does not match any NREL ATB technologies. Check your settings file to ensure it is spelled correctly" + The technology {tech} - {tech_detail} listed in your settings file under 'atb_new_gen' + does not match any NREL ATB technologies. Check your settings file to ensure it is + spelled correctly" ***************************** """ logger.warning(s)

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Link zenodo badge to the DOI for all versions

MODIFY README.md README.md [![Build Status](https://travis-ci.com/gschivley/PowerGenome.svg?token=yTGQ4JcCGLW2GZpmvXHw&branch=master)](https://travis-ci.com/gschivley/PowerGenome) [![codecov](https://codecov.io/gh/gschivley/PowerGenome/branch/master/graph/badge.svg?token=7KJYLE3jOW)](https://codecov.io/gh/gschivley/PowerGenome) [![code style black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) -[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4426097.svg)](https://doi.org/10.5281/zenodo.4426097) +[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4426097.svg)](https://doi.org/10.5281/zenodo.4426096) **Note:** The code and data for PowerGenome are under active development and some changes may break existing functions. Keep up to date with major code and data releases by joining [PowerGenome on groups.io](https://groups.io/g/powergenome).

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Very minor version bump

MODIFY setup.py setup.py @@ -3,7 +3,7 @@ from setuptools import find_packages, setup setup( name="powergenome", packages=find_packages(), - version="0.4.3", + version="0.4.3.1", description="Extract PUDL data for use in power system models", author="Greg Schivley", entry_points={

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Update precommit hook versions

MODIFY .pre-commit-config.yaml .pre-commit-config.yaml repos: - repo: https://github.com/pre-commit/pre-commit-hooks - rev: v2.3.0 + rev: v4.0.1 hooks: - id: check-yaml # - id: end-of-file-fixer @@ -8,6 +8,6 @@ repos: - id: check-added-large-files args: ['--maxkb=80000'] - repo: https://github.com/psf/black - rev: 19.3b0 + rev: 21.11b1 hooks: - id: black

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Discard HRs below 5 mmbtu/MWh Replace with median for technology.

MODIFY powergenome/generators.py powergenome/generators.py @@ -2266,9 +2266,9 @@ class GeneratorClusters: self.prime_mover_hr_map ) - # Set negative heat rates to nan + # Set heat rates < 5 or > 35 mmbtu/MWh to nan self.units_model.loc[ - (self.units_model.heat_rate_mmbtu_mwh < 0) + (self.units_model.heat_rate_mmbtu_mwh < 5) | (self.units_model.heat_rate_mmbtu_mwh > 35), "heat_rate_mmbtu_mwh", ] = np.nan

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Add nuclear HR if not in data Nuclear heat rates are nan with PUDL v3 (software 0.5). Fill them with values from ATB so VOM is calculated correctly.

MODIFY powergenome/nrelatb.py powergenome/nrelatb.py @@ -671,8 +671,13 @@ def atb_fixed_var_om_existing( _df["Fixed_OM_Cost_per_MWyr"] = inflation_price_adjustment( fixed, 2015, target_usd_year ) + + # If nuclear heat rates are NaN, set them to new build value + _df.loc[ + _df["heat_rate_mmbtu_mwh"].isna(), "heat_rate_mmbtu_mwh" + ] = new_build_hr _df["Var_OM_Cost_per_MWh"] = atb_var_om_mwh * ( - existing_hr / new_build_hr + _df["heat_rate_mmbtu_mwh"].mean() / new_build_hr ) else:

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Get cost mult filename from settings

MODIFY powergenome/nrelatb.py powergenome/nrelatb.py @@ -1058,7 +1058,8 @@ def atb_new_generators(atb_costs, atb_hr, settings): new_gen_df["Max_Cap_MW"] = -1 regional_cost_multipliers = pd.read_csv( - DATA_PATHS["cost_multipliers"] / "AEO_2020_regional_cost_corrections.csv", + DATA_PATHS["cost_multipliers"] + / settings.get("cost_multiplier_fn", "AEO_2020_regional_cost_corrections.csv"), index_col=0, ) if settings.get("user_regional_cost_multiplier_fn"):

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Version bump, readme updates

MODIFY environment.yml environment.yml @@ -5,7 +5,7 @@ channels: dependencies: - python>=3.8 # Remove for tox.ini & setup.py - pip - - conda-forge::catalystcoop.pudl=0.4 + - conda-forge::catalystcoop.pudl=0.5 - jupyterlab - black - pytest MODIFY setup.py setup.py @@ -3,7 +3,7 @@ from setuptools import find_packages, setup setup( name="powergenome", packages=find_packages(), - version="0.4.1", + version="0.5.0", description="Extract PUDL data for use in power system models", author="Greg Schivley", entry_points={

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Update notebook descriptions

MODIFY notebooks/Existing and new generators.ipynb notebooks/Existing and new generators.ipynb "cell_type": "markdown", "metadata": {}, "source": [ - "## Import settings\n", - "This assumes that the settings file is set up for multiple scenarios/planning periods. If you are using a settings file with only a single scenario/planning period, remove or comment out the line with `build_scenario_settings`." + "## Import settings and create database connections\n", + "This assumes that the settings file is set up for multiple scenarios/planning periods. If you are using a settings file with only a single scenario/planning period, remove or comment out the line with `build_scenario_settings`.\n", + "\n", + "Once the settings file is loaded, use the `data_years` to limit the amount of data processed in `pudl_out`. Limiting the data years will reduce run time. Then check " ] }, {

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Bug fixes Wrong sql engine connection Need to create the open_data folder if it doesn't exist.

MODIFY powergenome/eia_opendata.py powergenome/eia_opendata.py @@ -36,6 +36,7 @@ def load_aeo_series(series_id: str, api_key: str, columns: list = None) -> pd.Da Data from EIA's AEO via their open data API. """ data_dir = DATA_PATHS["eia"] / "open_data" + data_dir.mkdir(exist_ok=True) if not (data_dir / f"{series_id}.csv").exists(): url = f"http://api.eia.gov/series/?series_id={series_id}&api_key={api_key}&out=json" r = requests.get(url) MODIFY powergenome/util.py powergenome/util.py @@ -69,7 +69,7 @@ def check_settings(settings: dict, pg_engine: sa.engine) -> None: technology == "{tech}" AND tech_detail == "{tech_detail}" """ - if len(pudl_engine.execute(s).fetchall()) == 0: + if len(pg_engine.execute(s).fetchall()) == 0: s = f""" ***************************** The technology {tech} - {tech_detail} listed in your settings file under 'atb_new_gen'

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Don't set heat rate of 0 to NaN Pumped storage has a heat rate of 0. Setting to NaN leads to an error when clustering.

MODIFY powergenome/generators.py powergenome/generators.py @@ -2402,9 +2402,13 @@ class GeneratorClusters: self.prime_mover_hr_map ) - # Set heat rates < 5 or > 35 mmbtu/MWh to nan + # Set heat rates < 5 or > 35 mmbtu/MWh to nan. Don't change heat rates of 0, + # which is when there is positive generation and no fuel use (pumped storage) self.units_model.loc[ + ( (self.units_model.heat_rate_mmbtu_mwh < 5) + & (self.units_model.heat_rate_mmbtu_mwh != 0) + ) | (self.units_model.heat_rate_mmbtu_mwh > 35), "heat_rate_mmbtu_mwh", ] = np.nan @@ -2446,7 +2450,9 @@ class GeneratorClusters: f"Proposed gen technologies are " f"{self.proposed_gens.technology_description.unique().tolist()}" ) - logger.info(f"{self.proposed_gens[self.settings['capacity_col']].sum()} MW proposed") + logger.info( + f"{self.proposed_gens[self.settings['capacity_col']].sum()} MW proposed" + ) self.units_model = pd.concat( [self.proposed_gens, self.units_model, self.new_860m_gens], sort=False )

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Drop rows with all NaN in 860m sheets EIA added a blank row before the footer comment. Set default values for sr and sf incase EIA drops headers/footers in the future.

MODIFY powergenome/generators.py powergenome/generators.py @@ -1414,11 +1414,15 @@ def clean_860m_sheet( """ df = eia_860m.parse(sheet_name=sheet_name, na_values=[" "]) + + # Find skiprows and skipfooters, which changes across 860m versions. + # NEW: drop rows with all NaN because EIA added a blank row before the footer. + sr = 0 for idx, row in df.iterrows(): if row.iloc[0] == "Entity ID": sr = idx + 1 break - + sf = 0 for idx in list(range(-10, 0)): if isinstance(df.iloc[idx, 0], str): sf = -idx @@ -1426,6 +1430,7 @@ def clean_860m_sheet( df = eia_860m.parse( sheet_name=sheet_name, skiprows=sr, skipfooter=sf, na_values=[" "] ) + df = df.dropna(how="all") df = df.rename(columns=planned_col_map) if sheet_name in ["Operating", "Planned"]:

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GenX network file bug fix CapResExcl calculation was over-complicated. Simplified, should fix the issue.

MODIFY powergenome/GenX.py powergenome/GenX.py @@ -233,9 +233,7 @@ def add_cap_res_network(tx_df: pd.DataFrame, settings: dict) -> pd.DataFrame: excl_list = [] for idx, row in tx_df.iterrows(): - if ((row[dest_zone_nums] != 0).all() and len(dest_zone_nums) > 1) or ( - row[dest_zone_nums] == 0 - ).sum() == len(dest_zone_nums): + if row[cap_res] == 0: excl_list.append(0) else: for zone_num, reg in zip(dest_zone_nums, dest_regions):

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Add PUDL doc image

MODIFY .gitignore .gitignore @@ -117,7 +117,7 @@ data/transformed_data/* *.code-workspace # Ignore figures -*.png +# *.png *.pdf # Ignore notebooks, but not examples ADD docs/_static/pudl_version.png docs/_static/pudl_version.png Binary files /dev/null and b/docs/_static/pudl_version.png differ

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Change DG name and add model tags The name dg_generation doesn't make much sense. Add as MUST_RUN based on feedback from

MODIFY example_system/test_settings.yml example_system/test_settings.yml @@ -764,6 +764,7 @@ model_tag_values: Geothermal: 1 Wood/Wood Waste Biomass: 1 Biomass: 1 + distributed_generation: 1 # Tags for a technology in a specific region # Format should be regional_tag_values: <region>: <tag name>: <technology>: <tag value> MODIFY powergenome/generators.py powergenome/generators.py @@ -2165,7 +2165,7 @@ def add_dg_resources( cap = s.max() df.loc[idx, "profile"] = (s / cap).round(3).to_list() df.loc[idx, "Existing_Cap_MW"] = cap.round(0).astype(int) - df["technology"] = "dg_generation" + df["technology"] = "distributed_generation" df["region"] = dg_profiles.columns df["cluster"] = 1

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Bug fix DG profiles to gen variability df The function make_generator_variability expected generation profiles to be numpy arrays but they were saved as lists. Save as arrays, and also fix the function so it can accept lists and correctly convert them to arrays.

MODIFY powergenome/external_data.py powergenome/external_data.py @@ -224,6 +224,8 @@ def make_generator_variability( if remove_feb_29: return np.delete(x, slice(1416, 1440)) return x + if isinstance(x, list): + return format_profile(np.array(x), remove_feb_29, hours) # Fill missing with default [1, ...] return np.ones(8760, dtype=float) MODIFY powergenome/generators.py powergenome/generators.py @@ -2163,7 +2163,7 @@ def add_dg_resources( for idx, (region, s) in enumerate(dg_profiles.iteritems()): cap = s.max() - df.loc[idx, "profile"] = (s / cap).round(3).to_list() + df.loc[idx, "profile"] = (s / cap).round(3).to_numpy() df.loc[idx, "Existing_Cap_MW"] = cap.round(0).astype(int) df["technology"] = "distributed_generation" df["region"] = dg_profiles.columns

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Update func example to show lists as an input type

MODIFY powergenome/external_data.py powergenome/external_data.py @@ -190,7 +190,7 @@ def make_generator_variability( Examples -------- - >>> df = pd.DataFrame({'profile': [np.zeros(8760), np.ones(8784) / 2, None]}) + >>> df = pd.DataFrame({'profile': [[0] * 8760, np.ones(8784) / 2, None]}) >>> make_generator_variability(df) 0 1 2 0 0.0 0.5 1.0

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Bug fix: set default load growth start year The default year is set to 2019 just above, use the same value here.

MODIFY powergenome/load_profiles.py powergenome/load_profiles.py @@ -7,11 +7,7 @@ from pathlib import Path import pandas as pd import numpy as np -from powergenome.util import ( - regions_to_keep, - reverse_dict_of_lists, - remove_feb_29, -) +from powergenome.util import regions_to_keep, reverse_dict_of_lists, remove_feb_29 from powergenome.external_data import make_demand_response_profiles from powergenome.eia_opendata import get_aeo_load @@ -125,7 +121,9 @@ def add_load_growth(load_curves: pd.DataFrame, settings: dict) -> pd.DataFrame: for ipm_region in keep_regions } - years_growth = settings["model_year"] - settings["regular_load_growth_start_year"] + years_growth = settings["model_year"] - settings.get( + "regular_load_growth_start_year", 2019 + ) for region, rate in (settings.get("alt_growth_rate") or {}).items(): future_growth_factor[region] = (1 + rate) ** years_growth

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Add efs flex demand params (commented out)

MODIFY example_system/test_settings.yml example_system/test_settings.yml @@ -69,6 +69,9 @@ distributed_gen_values: # Distribution loss used when subtracting distributed generation from total load. avg_distribution_loss: 0.0453 + +# electrification_stock_fn: SCENARIO_STOCK.parquet +# electrification_scenario: current_policy # Name of the DSM resource, fraction of load that can be shifted, and number of hours # that it can be shifted demand_response_resources:

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Bug fix Flexible resources weren't being created with other new gens

MODIFY powergenome/generators.py powergenome/generators.py @@ -2557,7 +2557,6 @@ class GeneratorClusters: self.units_model.rename(columns={"technology_description": "technology"}) .query("technology.isin(@techs).values") .pipe( - atb_fixed_var_om_existing, self.atb_hr, self.settings, @@ -2865,7 +2864,9 @@ class GeneratorClusters: calculate_transmission_inv_cost, self.settings, self.offshore_spur_costs ).pipe(add_transmission_inv_cost, self.settings) - if self.settings.get("demand_response_fn"): + if self.settings.get("demand_response_fn") or self.settings.get( + "electrification_stock_fn" + ): dr_rows = self.create_demand_response_gen_rows() self.new_generators = pd.concat([self.new_generators, dr_rows], sort=False)

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Mod EFS example settings Use stock from NREL EFS rather than Princeton NZA study

MODIFY example_system_efs/test_settings.yml example_system_efs/test_settings.yml @@ -71,8 +71,8 @@ distributed_gen_values: avg_distribution_loss: 0.0453 -electrification_stock_fn: SCENARIO_STOCK.parquet -electrification_scenario: current_policy +electrification_stock_fn: EFS_STOCK_AGG.parquet # SCENARIO_STOCK.parquet +electrification_scenario: REFERENCE ELECTRIFICATION - MODERATE TECHNOLOGY ADVANCEMENT # current_policy # Name of the DSM resource, fraction of load that can be shifted, and number of hours # that it can be shifted demand_response_resources:

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Strongly recommend using mamba for env creation

MODIFY README.md README.md @@ -52,12 +52,18 @@ Either way, you will need to download the new database files in steps 5/6 below 1. Clone this repository to your local machine and navigate to the top level (PowerGenome) folder. -2. Create a conda environment named `powergenome` using the provided `environment.yml` file. Note that resolving all the dependencies can be slow with conda, so you might want to [install mamba](https://mamba.readthedocs.io/en/latest/installation.html#existing-conda-install) and use it instead (just sub `mamba` for `conda` below). +2. Create a conda environment named `powergenome` using the provided `environment.yml` file. If you don't already use conda, [download and install miniconda](https://docs.conda.io/en/latest/miniconda.html). Note that resolving all the dependencies can be slow with conda, so I highly recommend that you [install mamba](https://mamba.readthedocs.io/en/latest/installation.html#existing-conda-install) and use it instead (just sub `mamba` for `conda` below). Mamba installation is easy and will probably take less time than sitting around while conda resolves dependencies. ```sh conda env create -f environment.yml ``` +or if you installed mamba: + +```sh +mamba env create -f environment.yml +``` + 3. Activate the `powergenome` environment. ```sh

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Fix find_newest_860m bug EIA changed their HTML format slightly. Changed the table class in bs4 to fix. Now raising an error when the table of file names can't be found by scraping. Also discovered that the lxml library was no longer installed as a dependency. Added lxml to the environment file to fix.

MODIFY environment.yml environment.yml @@ -11,6 +11,7 @@ dependencies: - pytest - requests - beautifulsoup4 + - lxml - pyyaml - conda-forge::pre-commit - isort MODIFY powergenome/generators.py powergenome/generators.py @@ -1402,7 +1402,13 @@ def find_newest_860m() -> str: site_url = "https://www.eia.gov/electricity/data/eia860m/" r = requests.get(site_url) soup = BeautifulSoup(r.content, "lxml") - table = soup.find("table", attrs={"class": "simpletable"}) + table = soup.find("table", attrs={"class": "basic-table"}) + if not table: + raise ValueError( + "Could not determine the most recently posted EIA 860m file. EIA may have " + "changed their HTML format, please post this as an issue on the PowerGenome " + "github repository (https://github.com/PowerGenome/PowerGenome/issues/new)." + ) href = table.find("a")["href"] fn = href.split("/")[-1]

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Initial commit of GH action file

ADD .github/workflows/python-package-mamba.yml +name: Python Package using mamba + +on: [push] + +jobs: + build-linux: + runs-on: ubuntu-latest + defaults: + run: + shell: bash + strategy: + max-parallel: 5 + + steps: + - uses: actions/checkout@v2 + - name: Set up Python 3.10 + uses: actions/setup-python@v2 + with: + python-version: 3.10 + - name: Add conda to system path + run: | + # $CONDA is an environment variable pointing to the root of the miniconda directory + echo $CONDA/bin >> $GITHUB_PATH + - name: install mamba + run: | + conda install mamba -n base -c conda-forge + - name: Install dependencies + run: | + mamba env update --file environment.yml --name base + - name: install powergenome + run: | + pip install . -e + - name: Lint with flake8 + run: | + conda install flake8 + # stop the build if there are Python syntax errors or undefined names + flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics + # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide + flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics + - name: Test with pytest + run: | + conda install pytest + pytest \ No newline at end of file

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Fix pip install PG error

MODIFY .github/workflows/python-package-mamba.yml .github/workflows/python-package-mamba.yml @@ -29,7 +29,7 @@ jobs: mamba env update --file environment.yml --name base - name: install powergenome run: | - pip install . -e + pip install -e . - name: Lint with flake8 run: | conda install flake8

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Use test settings for 860m test Needed additional parameters like "proposed_status_included".

MODIFY tests/generation_test.py tests/generation_test.py @@ -183,6 +183,7 @@ def test_unit_generator_heat_rates(data_years=[2016, 2017]): ) -def test_load_860m(): - eia_860m = load_860m({"eia_860m_fn": None}) - eia_860m = load_860m({"eia_860m_fn": "september_generator2021.xlsx"}) +def test_load_860m(test_settings): + eia_860m = load_860m(test_settings) + test_settings["eia_860m_fn"] = None + eia_860m = load_860m(test_settings)

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Use mamba install instead of conda

MODIFY .github/workflows/python-package-mamba.yml .github/workflows/python-package-mamba.yml @@ -32,12 +32,12 @@ jobs: pip install -e . - name: Lint with flake8 run: | - conda install flake8 + mamba install flake8 # stop the build if there are Python syntax errors or undefined names flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics - name: Test with pytest run: | - conda install pytest + mamba install pytest pytest \ No newline at end of file

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Replace zipped sqlite with smaller version Couldn't get a working version of the file to unzip within the test script.

RENAME tests/data/pg_misc_tables.sqlite.zip tests/data/pg_misc_tables.sqlite3 Binary files a/tests/data/pg_misc_tables.sqlite.zip and b/tests/data/pg_misc_tables.sqlite3 differ MODIFY tests/generation_test.py tests/generation_test.py @@ -33,7 +33,7 @@ logger.addHandler(handler) PUDL_DB_CONN = sqlite3.connect(DATA_PATHS["test_data"] / "test_data.db") PG_DB_CONN = sqlalchemy.create_engine( - "sqlite:////" + str(DATA_PATHS["test_data"] / "pg_misc_tables.sqlite") + "sqlite:////" + str(DATA_PATHS["test_data"] / "pg_misc_tables.sqlite3") )

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Test load curve creation and api key in env

MODIFY .github/workflows/python-package-mamba.yml .github/workflows/python-package-mamba.yml @@ -38,6 +38,8 @@ jobs: # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics - name: Test with pytest + env: + EIA_API_KEY: ${{ secrets.EIA_API_KEY }} run: | mamba install pytest pytest \ No newline at end of file MODIFY tests/generation_test.py tests/generation_test.py @@ -15,6 +15,7 @@ from powergenome.generators import ( unit_generator_heat_rates, load_860m, ) +from powergenome.load_profiles import make_load_curves from powergenome.params import DATA_PATHS from powergenome.transmission import agg_transmission_constraints from powergenome.util import load_settings, map_agg_region_names, reverse_dict_of_lists @@ -202,3 +203,7 @@ def test_load_860m(test_settings): def test_agg_transmission_constraints(test_settings): agg_transmission_constraints(PG_DB_CONN, test_settings) + + +def test_demand_curve(test_settings): + make_load_curves(PG_DB_CONN, test_settings)

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Don't fail check settings if some params are missing

MODIFY powergenome/util.py powergenome/util.py @@ -50,11 +50,13 @@ def check_settings(settings: dict, pg_engine: sa.engine) -> None: ].to_list() cost_mult_regions = list( - itertools.chain.from_iterable(settings["cost_multiplier_region_map"].values()) + itertools.chain.from_iterable( + settings.get("cost_multiplier_region_map", {}).values() + ) ) aeo_fuel_regions = list( - itertools.chain.from_iterable(settings["aeo_fuel_region_map"].values()) + itertools.chain.from_iterable(settings.get("aeo_fuel_region_map", {}).values()) ) atb_techs = settings.get("atb_new_gen", []) or [] @@ -147,7 +149,7 @@ def check_settings(settings: dict, pg_engine: sa.engine) -> None: """ logger.warning(s) - gen_col_count = collections.Counter(settings["generator_columns"]) + gen_col_count = collections.Counter(settings.get("generator_columns", [])) duplicate_cols = [c for c, num in gen_col_count.items() if num > 1] if duplicate_cols: raise KeyError(

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Bug fix when tx expansion is 0

MODIFY powergenome/GenX.py powergenome/GenX.py @@ -535,7 +535,7 @@ def network_max_reinforcement( max_expansion = settings.get("tx_expansion_per_period") - if not max_expansion: + if not max_expansion and max_expansion != 0: raise KeyError( "No value for the transmission expansion allowed in this model period is " "included in the settings."

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Fix model tags in ISONE example

MODIFY example_system_ISONE/test_settings.yml example_system_ISONE/test_settings.yml @@ -322,6 +322,7 @@ model_tag_names: - STOR - FLEX - HYDRO + - LDS - Commit - ESR_1 - ESR_2 @@ -366,6 +367,7 @@ model_tag_values: LandbasedWind: 1 OffshoreWind: 1 Onshore Wind: 1 + Offshore Wind: 1 Solar Photovoltaic: 1 Solar Thermal without Energy Storage: 1 UtilityPV: 1 @@ -414,6 +416,7 @@ model_tag_values: LandbasedWind: 1 OffshoreWind: 1 Onshore Wind: 1 + Offshore Wind: 1 Small Hydroelectric: 1 Solar Photovoltaic: 1 UtilityPV: 1 @@ -429,6 +432,7 @@ model_tag_values: Nuclear: 1 OffshoreWind: 1 Onshore Wind: 1 + Offshore Wind: 1 Small Hydroelectric: 1 Solar Photovoltaic: 1 UtilityPV: 1 @@ -442,6 +446,7 @@ model_tag_values: Geothermal: -1 LandbasedWind: 1 Natural Gas: 1 + NaturalGas: 1 NGCCS100: 1 OffshoreWind: 1 Small Hydroelectric: -1 @@ -703,12 +708,6 @@ renewables_clusters: max_clusters: 1 min_capacity: 17100 cap_multiplier: 0.2 - # - region: NENG_CT - # technology: offshorewind - # turbine_type: fixed - # pref_site: 1 - # max_clusters: 1 - # min_capacity: 500 - region: NENG_ME technology: landbasedwind max_clusters: 1

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Add more eia:atb tech mappings

MODIFY example_system/test_settings.yml example_system/test_settings.yml @@ -859,6 +859,12 @@ eia_atb_tech_map: Natural Gas Fired Combined Cycle: NaturalGas_CCAvgCF #[NaturalGas_CCAvgCF, NETL_NGCC] Natural Gas Fired Combustion Turbine: NaturalGas_CTAvgCF Peaker: NaturalGas_CTAvgCF + Natural Gas Internal Combustion Engine: NaturalGas_CTAvgCF + Landfill Gas: NaturalGas_CTAvgCF + Petroleum Liquids: NaturalGas_CTAvgCF + Municipal Solid Waste: Biopower_Dedicated + Other Waste Biomass: Biopower_Dedicated + Wood/Wood Waste Biomass: Biopower_Dedicated Solar Photovoltaic: UtilityPV_LosAngeles Geothermal: Geothermal_HydroFlash # assume installed capacity is dominated by flash

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Add region maps for wiki

MODIFY .gitignore .gitignore @@ -117,7 +117,7 @@ data/transformed_data/* *.code-workspace # Ignore figures -*.png +# *.png *.pdf # Ignore notebooks, but not examples ADD docs/_static/census_divisions.png docs/_static/census_divisions.png Binary files /dev/null and b/docs/_static/census_divisions.png differ ADD docs/_static/current_emm_regions.png docs/_static/current_emm_regions.png Binary files /dev/null and b/docs/_static/current_emm_regions.png differ ADD docs/_static/historical_emm_regions.png docs/_static/historical_emm_regions.png Binary files /dev/null and b/docs/_static/historical_emm_regions.png differ

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Bug fix parameter name

MODIFY powergenome/generators.py powergenome/generators.py @@ -1613,7 +1613,7 @@ def import_new_generators( new_operating = group_technologies( new_operating, settings["group_technologies"], - settings.get("tech_group", {}) or {}, + settings.get("tech_groups", {}) or {}, settings.get("regional_no_grouping", {}) or {}, ) print(new_operating["technology_description"].unique().tolist()) @@ -1738,7 +1738,7 @@ def import_proposed_generators( planned_gdf = group_technologies( planned_gdf, settings["group_technologies"], - settings.get("tech_group", {}) or {}, + settings.get("tech_groups", {}) or {}, settings.get("regional_no_grouping", {}) or {}, ) print(planned_gdf["technology_description"].unique().tolist()) @@ -1857,7 +1857,7 @@ def gentype_region_capacity_factor( capacity_factor = group_technologies( capacity_factor, settings["group_technologies"], - settings.get("tech_group", {}) or {}, + settings.get("tech_groups", {}) or {}, settings.get("regional_no_grouping", {}) or {}, )

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Change GH action name, add on PR

RENAME .github/workflows/python-package-mamba.yml .github/workflows/pytest.yml -name: Python Package using mamba +name: pytest -on: [push] +on: [push, pull_request] jobs: build-linux: @@ -13,7 +13,7 @@ jobs: steps: - uses: actions/checkout@v2 - - name: Set up Python 3.10 + - name: Set up Python 3.9 uses: actions/setup-python@v2 with: python-version: 3.9

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Add codecov and python version matrix

MODIFY .github/workflows/pytest.yml .github/workflows/pytest.yml @@ -10,6 +10,8 @@ jobs: shell: bash strategy: max-parallel: 5 + matrix: + python-version: ["3.8", "3.9", "3.10"] steps: - uses: actions/checkout@v2 @@ -41,5 +43,7 @@ jobs: env: EIA_API_KEY: ${{ secrets.EIA_API_KEY }} run: | - mamba install pytest - pytest \ No newline at end of file + pip install pytest-cov + pytest --cov=powergenome tests/ + - name: Upload test coverage report to CodeCov + uses: codecov/codecov-action@v2.1.0 \ No newline at end of file

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Change cov report to xml format

MODIFY .github/workflows/pytest.yml .github/workflows/pytest.yml @@ -44,6 +44,6 @@ jobs: EIA_API_KEY: ${{ secrets.EIA_API_KEY }} run: | pip install pytest-cov - pytest --cov=powergenome tests/ + pytest --cov=powergenome tests/ --cov-report=xml - name: Upload test coverage report to CodeCov uses: codecov/codecov-action@v2.1.0 \ No newline at end of file

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Add pytest and codecov badges

MODIFY README.md README.md [![The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active) [![code style black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4426097.svg)](https://doi.org/10.5281/zenodo.4426096) +[![pytest](https://github.com/PowerGenome/PowerGenome/actions/workflows/pytest.yml/badge.svg)](https://github.com/PowerGenome/PowerGenome/actions/workflows/pytest.yml) +[![codecov](https://codecov.io/gh/PowerGenome/PowerGenome/branch/master/graph/badge.svg?token=7KJYLE3jOW)](https://codecov.io/gh/PowerGenome/PowerGenome) **Note:** The code and data for PowerGenome are under active development and some changes may break existing functions. Keep up to date with major code and data releases by joining [PowerGenome on groups.io](https://groups.io/g/powergenome).

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Don't check atb scenarios if no data year

MODIFY powergenome/util.py powergenome/util.py @@ -114,6 +114,7 @@ def check_settings(settings: dict, pg_engine: sa.engine) -> None: pg_engine : sa.engine Connection to the PG sqlite database. """ + if settings.get("atb_data_year"): check_atb_scenario(settings, pg_engine) ipm_region_list = pd.read_sql_table("regions_entity_epaipm", pg_engine)[ "region_id_epaipm"

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Minor example settings fixes

MODIFY example_systems/CA_AZ/test_settings.yml example_systems/CA_AZ/test_settings.yml @@ -66,6 +66,9 @@ distributed_gen_values: CA_N: 9788 CA_S: 12618 +# 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: true # Distribution loss used when subtracting distributed generation from total load. avg_distribution_loss: 0.0453 MODIFY example_systems/CA_AZ/test_settings_atb2020.yml example_systems/CA_AZ/test_settings_atb2020.yml @@ -26,7 +26,7 @@ capacity_limit_spur_fn: test_resource_capacity_spur.csv # Max capacity and spur region_wind_pv_cap_fn: existing_wind_pv_capacity.csv demand_segments_fn: test_demand_segments_voll.csv misc_gen_inputs_fn: test_misc_gen_inputs.csv -genx_settings_fn: genx_settings +genx_settings_folder: genx_settings reserves_fn: Reserves.csv # regional_load_fn: test_regional_load_profiles.csv #Externally provide load data MODIFY example_systems/ISONE/test_settings.yml example_systems/ISONE/test_settings.yml @@ -65,6 +65,9 @@ demand_weight_factor: 1 # Demand profiles are scaled from 0-1, then scaled up us # CA_N: 9788 # CA_S: 12618 +# 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: true # Distribution loss used when subtracting distributed generation from total load. avg_distribution_loss: 0.0453

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Add description of settings parameters

MODIFY example_systems/settings_documentation.md example_systems/settings_documentation.md @@ -28,6 +28,19 @@ description: A dictionary with list values, used to aggregate IPM regions into g - `alt_growth_rate` - `aeo_fuel_region_map` +### regional_capacity_reserves + +type: Dict[str, Dict[str, float]] + +description: A nested dictionary of capacity reserve constraints for model regions. The top-level keys are of form `CapRes_<num>`. The next level of keys are model regions, with values equal to the capacity reserve requirements. + + +### cap_res_network_derate_default + +type: float + +description: The derating of transmission imports used to meet capacity reserve requirements. +  ### model_year @@ -141,7 +154,13 @@ description: This file is where users can add extra or miscellaneous inputs for type: str -description: This is a YAML file used to record input parameters for GenX model runs. A version is copied into each of the final case folders. Some parameter values - such as RPS and CES - will be changed on a case-by-case basis depending on inputs in other files. +description: This is a YAML file used to record input parameters for GenX model runs. A version is copied into each of the final case folders. *This parameter is depreciated in preference of `genx_settings_folder` now that GenX expects a folder of settings files. + +### genx_settings_folder + +type: str + +description: This is a folder of YAML files used to record input parameters for GenX model runs. A version is copied into each of the final case folders. ### regional_load_fn

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Fix bug when no subregions

MODIFY powergenome/resource_clusters.py powergenome/resource_clusters.py @@ -591,9 +591,12 @@ class ResourceGroup: raise ValueError(f"No resources found or selected") if tree: # Only keep trees with one ore more base resources + if isinstance(tree, list): df["tree"] = "" for t in tree: df["tree"] += df[t].astype(str) + else: + df["tree"] = tree selected = ( pd.Series(mask, index=df.index) .groupby(df["tree"])

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Add zenodo author documentation

ADD .zenodo.json +{ + "creators": [ + { + "affiliation": "Carbon Impact Consulting", + "name": "Greg Schivley", + "orcid": "0000-0002-8947-694X" + }, + { + "name": "Ethan Welty", + "orcid": "0000-0001-8046-2210" + }, + { + "name": "Neha Patankar", + "affiliation": "Princeton University", + "orcid": "0000-0001-7288-0391" + }, + { + "name": "Anna Jacobson", + "affiliation": "Princeton University", + "orcid": "0000-0002-3929-4742" + }, + { + "name": "Qingyu Xu", + "affiliation": "Princeton University", + "orcid": "0000-0003-2692-5135" + }, + { + "name": "Jesse D. Jenkins", + "affiliation": "Princeton University", + "orcid": "0000-0002-9670-7793" + } + ] +} \ No newline at end of file

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Make logger more obvious for starting new cases

MODIFY powergenome/run_powergenome_multiple_outputs_cli.py powergenome/run_powergenome_multiple_outputs_cli.py @@ -251,7 +251,7 @@ def main(): existing_gens = gc.existing_resources.copy() logger.info( - f"Finished first round with year {year} scenario {case_id}" + f"\nFinished first round with year {year} scenario {case_id}\n" ) gen_variability = make_generator_variability(gen_clusters) gen_variability.index.name = "Time_Index" @@ -287,7 +287,7 @@ def main(): model_regions_gdf = load_ipm_shapefile(_settings) else: - logger.info(f"\nStarting year {year} scenario {case_id}") + logger.info(f"\nStarting year {year} scenario {case_id}\n") if args.gens: gc.settings = _settings

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Add Aneesha to zenodo author list

MODIFY .zenodo.json .zenodo.json "affiliation": "Princeton University", "orcid": "0000-0003-2692-5135" }, + { + "name": "Aneesha Manocha", + "affiliation": "Princeton University" + }, { "name": "Jesse D. Jenkins", "affiliation": "Princeton University",

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Don't always supplement with 860m data Especially in testing, I don't want to add all 860m gens that aren't in the database

MODIFY powergenome/generators.py powergenome/generators.py @@ -2309,6 +2309,7 @@ class GeneratorClusters: pg_engine, settings, current_gens=True, + supplement_with_860m=True, sort_gens=False, plant_region_map_table="plant_region_map_epaipm", settings_agg_key="region_aggregations", @@ -2332,6 +2333,7 @@ class GeneratorClusters: self.sort_gens = sort_gens self.model_regions_gdf = load_ipm_shapefile(self.settings) self.weighted_unit_hr = None + self.supplement_with_860m = supplement_with_860m if self.current_gens: self.data_years = self.settings["data_years"] @@ -2612,6 +2614,7 @@ class GeneratorClusters: f"Units model technologies are " f"{self.units_model.technology_description.unique().tolist()}" ) + if self.supplement_with_860m: logger.info( f"Before adding proposed generators, {len(self.units_model)} units with " f"{self.units_model[self.settings['capacity_col']].sum()} MW capacity"

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Don't break when age is missing

MODIFY powergenome/nrelatb.py powergenome/nrelatb.py @@ -594,7 +594,9 @@ def atb_fixed_var_om_existing( plant_capacity = _df[settings["capacity_col"]].sum() age = settings["model_year"] - _df.operating_date.dt.year + try: age = age.fillna(age.mean()) + except: age = age.fillna(40) gen_ids = _df["generator_id"].to_list() fgd = coal_fgd_df.query(

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Add env vars pointing to data

MODIFY .github/workflows/pytest.yml .github/workflows/pytest.yml @@ -43,6 +43,9 @@ jobs: env: EIA_API_KEY: ${{ secrets.EIA_API_KEY }} run: | + echo "RESOURCE_GROUPS=./tests/data/resource_groups_base" >> $GITHUB_ENV + echo "PUDL_DB=sqlite://///tests/data/pudl_test_data.db" >> $GITHUB_ENV + echo "PG_DB=sqlite://///tests/data/pg_misc_tables.sqlite3" >> $GITHUB_ENV pip install pytest-cov pytest --cov=powergenome tests/ --cov-report=xml - name: Upload test coverage report to CodeCov

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Try using pdb to debug

MODIFY .github/workflows/pytest.yml .github/workflows/pytest.yml @@ -47,6 +47,6 @@ jobs: echo "PUDL_DB=sqlite://///tests/data/pudl_test_data.db" >> $GITHUB_ENV echo "PG_DB=sqlite://///tests/data/pg_misc_tables.sqlite3" >> $GITHUB_ENV pip install pytest-cov - pytest --cov=powergenome tests/ --cov-report=xml + pytest --cov=powergenome tests/ --cov-report=xml --pdb - name: Upload test coverage report to CodeCov uses: codecov/codecov-action@v2.1.0 \ No newline at end of file

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Make .env file for testing.

MODIFY .github/workflows/pytest.yml .github/workflows/pytest.yml @@ -39,14 +39,19 @@ jobs: flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics + - name: Make envfile + uses: SpicyPizza/create-envfile@v1 + with: + RESOURCE_GROUPS: tests/data/resource_groups_base + PUDL_DB: sqlite://///tests/data/pudl_test_data.db + PG_DB: sqlite://///tests/data/pg_misc_tables.sqlite3 + directory: powergenome + file_name: .env - name: Test with pytest env: EIA_API_KEY: ${{ secrets.EIA_API_KEY }} run: | - echo "RESOURCE_GROUPS=./tests/data/resource_groups_base" >> $GITHUB_ENV - echo "PUDL_DB=sqlite://///tests/data/pudl_test_data.db" >> $GITHUB_ENV - echo "PG_DB=sqlite://///tests/data/pg_misc_tables.sqlite3" >> $GITHUB_ENV pip install pytest-cov - pytest --cov=powergenome tests/ --cov-report=xml --pdb + pytest --cov=powergenome tests/ --cov-report=xml - name: Upload test coverage report to CodeCov uses: codecov/codecov-action@v2.1.0 \ No newline at end of file

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See if a path is being sent to RG

MODIFY powergenome/resource_clusters.py powergenome/resource_clusters.py @@ -694,7 +694,7 @@ class ClusterBuilder: """ paths = list(paths) if not paths: - raise ValueError(f"No resource groups specified") + raise ValueError(f"No resource groups specified {paths}") return cls([ResourceGroup.from_json(path) for path in paths]) def find_groups(self, **kwargs: Any) -> List[ResourceGroup]:

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Directly set env variables

MODIFY .github/workflows/pytest.yml .github/workflows/pytest.yml @@ -39,17 +39,20 @@ jobs: flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics - - name: Make envfile - uses: SpicyPizza/create-envfile@v1 - with: - RESOURCE_GROUPS: tests/data/resource_groups_base - PUDL_DB: sqlite://///tests/data/pudl_test_data.db - PG_DB: sqlite://///tests/data/pg_misc_tables.sqlite3 - directory: powergenome - file_name: .env + # - name: Make envfile + # uses: SpicyPizza/create-envfile@v1 + # with: + # RESOURCE_GROUPS: tests/data/resource_groups_base + # PUDL_DB: sqlite://///tests/data/pudl_test_data.db + # PG_DB: sqlite://///tests/data/pg_misc_tables.sqlite3 + # directory: powergenome + # file_name: .env - name: Test with pytest env: EIA_API_KEY: ${{ secrets.EIA_API_KEY }} + RESOURCE_GROUPS: tests/data/resource_groups_base + PUDL_DB: sqlite://///tests/data/pudl_test_data.db + PG_DB: sqlite://///tests/data/pg_misc_tables.sqlite3 run: | pip install pytest-cov pytest --cov=powergenome tests/ --cov-report=xml

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Remove Python 3.8 from testing matrix

MODIFY .github/workflows/pytest.yml .github/workflows/pytest.yml @@ -11,7 +11,7 @@ jobs: strategy: max-parallel: 5 matrix: - python-version: ["3.8", "3.9", "3.10"] + python-version: ["3.9", "3.10"] steps: - uses: actions/checkout@v2

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Remove env vars from GH action file Try using them as repo secrets instead

MODIFY .github/workflows/pytest.yml .github/workflows/pytest.yml @@ -39,20 +39,9 @@ jobs: flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics - # - name: Make envfile - # uses: SpicyPizza/create-envfile@v1 - # with: - # RESOURCE_GROUPS: tests/data/resource_groups_base - # PUDL_DB: sqlite://///tests/data/pudl_test_data.db - # PG_DB: sqlite://///tests/data/pg_misc_tables.sqlite3 - # directory: powergenome - # file_name: .env - name: Test with pytest env: EIA_API_KEY: ${{ secrets.EIA_API_KEY }} - RESOURCE_GROUPS: "tests/data/resource_groups_base" - PUDL_DB: "sqlite://///tests/data/pudl_test_data.db" - PG_DB: "sqlite://///tests/data/pg_misc_tables.sqlite" run: | pip install pytest-cov pytest --cov=powergenome tests/ --cov-report=xml

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Actually set env vars from GH secrets

MODIFY .github/workflows/pytest.yml .github/workflows/pytest.yml @@ -42,6 +42,9 @@ jobs: - name: Test with pytest env: EIA_API_KEY: ${{ secrets.EIA_API_KEY }} + RESOURCE_GROUPS: ${{ secrets.RESOURCE_GROUPS }} + PUDL_DB: ${{ secrets.PUDL_DB }} + PG_DB: ${{ secrets.PG_DB }} run: | pip install pytest-cov pytest --cov=powergenome tests/ --cov-report=xml

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Mod gen/region CF test

MODIFY tests/generation_test.py tests/generation_test.py @@ -263,12 +263,18 @@ def test_check_settings(test_settings): def test_gentype_region_capacity_factor(plant_region_map_ipm_data, test_settings): + cf_techs = test_settings["capacity_factor_techs"] + plant_region_map_ipm_data = plant_region_map_ipm_data.rename( + columns={"region": "model_region"} + ) df = gentype_region_capacity_factor( pudl_engine, plant_region_map_ipm_data, test_settings ) print(df.technology.unique()) - assert "Peaker" in df.technology.unique() + assert "Biomass" in df.technology.unique() + # CF can sometime be greater than 1, but shouldn't be significantly higher. + assert df.loc[df["technology"].isin(cf_techs), "capacity_factor"].max() < 2 def test_gen_integration(CA_AZ_settings):

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Update test settings to pass tests

MODIFY tests/data/test_settings.yml tests/data/test_settings.yml @@ -116,10 +116,19 @@ alt_clusters: Natural Gas Fired Combined Cycle: 2 Natural Gas Fired Combustion Turbine: 2 + +# CAPACITY FACTOR +# Calculate the capacity factor of technology types listed here. If derate_capacity is +# True, multiply the calculated capacity of each cluster by the CF +capacity_factor_techs: + - Small Hydroelectric + - Biomass + - Geothermal + # Default value to limit the years used to calculate capacity factors. # Use "~" (null, converted to None in Python) to use all data years. PUDL currently has # generation data from 2011 through the most recent final release of 923/860. -capacity_factor_default_year_filter: [2018] +capacity_factor_default_year_filter: [2020] # Select the year filters for specific technologies. Grouped technologies should be # used rather than in individual categories (e.g. Peaker rather than Combustion Turbine).

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Address warning about collections ABC

MODIFY powergenome/generators.py powergenome/generators.py @@ -3021,7 +3021,7 @@ class GeneratorClusters: self.all_resources = self.all_resources.reset_index(drop=True) self.all_resources["variable_CF"] = 0.0 for i, p in enumerate(self.all_resources["profile"]): - if isinstance(p, (collections.Sequence, np.ndarray)): + if isinstance(p, (collections.abc.Sequence, np.ndarray)): self.all_resources.loc[i, "variable_CF"] = np.mean(p) # Set Min_Power of wind/solar to 0

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Set resource group location in settings file

MODIFY tests/generation_test.py tests/generation_test.py @@ -129,6 +129,7 @@ def plant_region_map_ipm_data(): @pytest.fixture(scope="module") def test_settings(): settings = load_settings(DATA_PATHS["test_data"] / "test_settings.yml") + settings["RESOURCE_GROUPS"] = DATA_PATHS["test_data"] / "resource_groups_base" return settings @@ -146,6 +147,7 @@ def CA_AZ_settings(): / "CA_AZ" / settings["input_folder"] ) + settings["RESOURCE_GROUPS"] = DATA_PATHS["test_data"] / "resource_groups_base" scenario_definitions = pd.read_csv( settings["input_folder"] / settings["scenario_definitions_fn"] )

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Bug fix when tech name missing in 860m "plant_id_eia" is part of the index, not a column.

MODIFY powergenome/generators.py powergenome/generators.py @@ -1633,9 +1633,11 @@ def import_new_generators( new_operating.loc[new_operating["technology_description"].isnull(), :].empty is False ): - plant_ids = new_operating.loc[ - new_operating["technology_description"].isnull(), "plant_id_eia" - ].to_list() + plant_ids = list( + new_operating.loc[new_operating["technology_description"].isnull(), :] + .index.get_level_values("plant_id_eia") + .to_numpy() + ) plant_capacity = new_operating.loc[ new_operating["technology_description"].isnull(), settings["capacity_col"] ].sum() @@ -1767,9 +1769,11 @@ def import_proposed_generators( planned_gdf.loc[planned_gdf["technology_description"].isnull(), :].empty is False ): - plant_ids = planned_gdf.loc[ - planned_gdf["technology_description"].isnull(), "plant_id_eia" - ].to_list() + plant_ids = list( + planned_gdf.loc[planned_gdf["technology_description"].isnull(), :] + .index.get_level_values("plant_id_eia") + .to_numpy() + ) plant_capacity = planned_gdf.loc[ planned_gdf["technology_description"].isnull(), settings["capacity_col"] ].sum()

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Minor version bump for bug fix

MODIFY setup.py setup.py @@ -3,7 +3,7 @@ from setuptools import find_packages, setup setup( name="powergenome", packages=find_packages(), - version="0.5.0", + version="0.5.1", description="Extract PUDL data for use in power system models", author="Greg Schivley", entry_points={

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Hit more options when creating load profiles

MODIFY tests/generation_test.py tests/generation_test.py @@ -328,6 +328,12 @@ def test_gen_integration(CA_AZ_settings, tmp_path): time_series_mapping, ) = reduce_time_domain(gen_variability, load, gc.settings) + gc.settings["distributed_gen_method"]["CA_N"] = "fraction_load" + gc.settings["distributed_gen_values"][2030]["CA_N"] = 0.1 + gc.settings["regional_load_fn"] = "test_regional_load_profiles.csv" + gc.settings["regional_load_includes_demand_response"] = False + make_final_load_curves(pg_engine=pg_engine, settings=gc.settings) + model_regions_gdf = gc.model_regions_gdf transmission = ( agg_transmission_constraints(pg_engine=pg_engine, settings=gc.settings)

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