From ce29d47464924b35917baba0a015df23312056b0 Mon Sep 17 00:00:00 2001 From: Sam Dotson Date: Fri, 6 Sep 2024 14:13:51 -0400 Subject: [PATCH 1/5] updates solve_network rule to use multi_investment_periods --- Snakefile | 5 +- config.yml | 86 ++++++++++++++------------- dag.png | Bin 55682 -> 53393 bytes environment.yml | 9 +-- scripts/add_electricity.py | 106 ++++++++++++++++++---------------- scripts/build_base_network.py | 29 +++++----- scripts/solve_network.py | 6 +- 7 files changed, 129 insertions(+), 112 deletions(-) diff --git a/Snakefile b/Snakefile index e0afe46..3770a1c 100644 --- a/Snakefile +++ b/Snakefile @@ -5,7 +5,10 @@ env_file = Path("./.env").resolve() from dotenv import load_dotenv load_dotenv(str(env_file)) -results_folder = f"{config['scenario']}_v{config['version']}" +if config['myopic']: + results_folder = f"{config['scenario']}_v{config['version']}_myopic" +else: + results_folder = f"{config['scenario']}_v{config['version']}" rule targets: input: diff --git a/config.yml b/config.yml index 03b8315..f240f2b 100644 --- a/config.yml +++ b/config.yml @@ -1,9 +1,11 @@ state_abbr: 'IL' -version: "10.0" -scenario: "test_single_year" +version: "2.0" +scenario: "multi-invest-optimization-test" solver: 'cplex' # 'cplex','highs','gurobi' geo_res: 'rto' # accepts: 'rto' or 'county' +myopic: False +multi_investment_periods: True time_res: 4 # hours load_filter: 60e3 # MW, load above this level will be removed as outliers. total_demand: 185e6 # Annual MWh in the first year @@ -11,8 +13,8 @@ total_demand: 185e6 # Annual MWh in the first year load_growth: 0.00 # % annual growth random_seed: 1234 -# model_years: [2025, 2030, 2035, 2040, 2045] -model_years: [2025] +model_years: [2025, 2030, 2035, 2040, 2045] +# model_years: [2025] plot_year: 2025 co2_limits: @@ -23,35 +25,37 @@ co2_limits: # 2040: 6.25 # 2045: 0.0 -retirements: # need to have every modeled year, at least - Natural Gas: - 2025: - 2030: 7445.50 - 2035: - 2040: - 2045: 11459.7 - Coal: - 2025: - 2030: 4981.60 - 2035: 2433.40 - 2040: - 2045: - -capacity_max: - Solar: - # 2025: 1693 - 2025: 461 - Wind: - # 2025: 8700 - 2025: 798 - Batteries: - # 2025: 114 - 2025: 18 - -# solar_years: [2016,2017,2018,2019,2020] # NSRDB only accepts years 1998-2020 -# wind_years: [2009,2010,2011,2012,2013] # WTK only goes from 2009-2013 -solar_years: [2017] # NSRDB only accepts years 1998-2020 -wind_years: [2009] # WTK only goes from 2009-2013 +# retirements: # need to have every modeled year, at least +# Natural Gas: +# 2025: +# 2030: 7445.50 +# 2035: +# 2040: +# 2045: 11459.7 +# Coal: +# 2025: +# 2030: 4981.60 +# 2035: 2433.40 +# 2040: +# 2045: + + + +# capacity_max: +# Solar: +# # 2025: 1693 +# 2025: 461 +# Wind: +# # 2025: 8700 +# 2025: 798 +# Batteries: +# # 2025: 114 +# 2025: 18 + +solar_years: [2016,2017,2018,2019,2020] # NSRDB only accepts years 1998-2020 +wind_years: [2009,2010,2011,2012,2013] # WTK only goes from 2009-2013 +# solar_years: [2017] # NSRDB only accepts years 1998-2020 +# wind_years: [2009] # WTK only goes from 2009-2013 load_year: 2019 fuel_cost_year: 2023 @@ -61,14 +65,14 @@ region_names: ['MISO-Z4','ComEd'] discount_rate: 0.07 growth_rates: # MW/year - Nuclear: 1e3 - Biomass: 1e3 - Natural Gas: 10e3 - Coal: 10e3 - Petroleum: 10e3 - Batteries: 2.5e3 - Solar: 2.5e3 - Wind: 2.5e3 + Nuclear: 1e9 + Biomass: 1e9 + Natural Gas: 10e9 + Coal: 10e9 + Petroleum: 10e9 + Batteries: 2.5e9 + Solar: 2.5e9 + Wind: 2.5e9 lifetime: Nuclear: 80 diff --git a/dag.png b/dag.png index 1defe723799949af0fd527f7f42630710055e989..690c222eb56387126bdf08745e900dbf7a7eada1 100644 GIT binary patch literal 53393 zcmX_I1y~f{*B+1(kw%afM3xc(C8WDcT2c@x>1HVjX^<9`T0{^8q#Kl!?k?$EI;Fk~ z{QlqSqdv^+%)O`2dEaY@ijwqQY;tS}g6_)7NW6fcTSpLt3dh0#Kl$eWY83p1VJt5# z0bO4GN~_I^g&Mnocq$TkZj!74Y{+m=$^hUC~sDCGiQaKdQqo z{!l?T|0Y1<#=_~YKM2;=g_Pjy53J++0xs=+R0N({H~&Yc$rc10%c@St=~;^SyPSuX zpS7gCX;`L1vL||;dXc!Zh05c&sK#^rt%OhvAkZ6LdL6iBWgaBww*T)`LuQg*3ZNZTE$C!eCCWFFv^8% 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python==3.10.13 - pip - ipython + - ipykernel + - matplotlib - pandas - geopandas - numpy - scipy - - ipykernel + - jupyter - jupyterlab - seaborn @@ -22,9 +24,6 @@ dependencies: - iprogress - pyogrio - fiona - - momepy - - pysal - - osmnx - spyder-kernels=2.5 - unyt - cartopy @@ -46,5 +45,3 @@ dependencies: - nrelpy - us - census - - streamlit - - vresutils diff --git a/scripts/add_electricity.py b/scripts/add_electricity.py index 4a0a97e..e7a74c3 100644 --- a/scripts/add_electricity.py +++ b/scripts/add_electricity.py @@ -6,7 +6,6 @@ from tqdm import tqdm import pypsa -version = 22 model_years = np.array(snakemake.config['model_years']).astype('int') resolution = int(snakemake.config['time_res']) scale = snakemake.config['geo_res'] @@ -15,8 +14,15 @@ growth_rates = snakemake.config['growth_rates'] pudl_year = int(snakemake.config['fuel_cost_year']) wind_cf = float(snakemake.config['turbine_params']['capacity_factor']) -retirements_df = pd.DataFrame(snakemake.config['retirements']).fillna(0) -capacity_limits_df = pd.DataFrame(snakemake.config['capacity_max']).fillna(0) +try: + retirements_df = pd.DataFrame(snakemake.config['retirements']).fillna(0) +except: + retirements_df = None + +try: + capacity_limits_df = pd.DataFrame(snakemake.config['capacity_max']).fillna(0) +except: + capacity_limits_df = None BUILD_YEAR = 2025 # a universal build year place holder @@ -389,56 +395,58 @@ def attach_storage( def add_retirements(n): - - carriers = retirements_df.columns - - df = retirements_df.loc[model_years, :].cumsum() - c_by_carrier = n.generators.groupby('carrier').sum().loc[carriers, 'p_nom'] - - for carrier in carriers: - existing_cap = c_by_carrier.loc[carrier] - for year in model_years: - try: - retirement = df.loc[year, carrier] - remaining = max(existing_cap - retirement, 0) - - limit = remaining * (8760/resolution) + if isinstance(retirements_df, pd.DataFrame): + + carriers = retirements_df.columns + + df = retirements_df.loc[model_years, :].cumsum() + c_by_carrier = n.generators.groupby('carrier').sum().loc[carriers, 'p_nom'] + + for carrier in carriers: + existing_cap = c_by_carrier.loc[carrier] + for year in model_years: + try: + retirement = df.loc[year, carrier] + remaining = max(existing_cap - retirement, 0) + + limit = remaining * (8760/resolution) + + n.add(class_name="GlobalConstraint", + name=f'{carrier} Energy Limit {year}', + sense='<=', + carrier_attribute=carrier, + constant=limit, + type='operational_limit', + investment_period=year, + ) + except (AttributeError, KeyError, TypeError): + pass - n.add(class_name="GlobalConstraint", - name=f'{carrier} Energy Limit {year}', - sense='<=', - carrier_attribute=carrier, - constant=limit, - type='operational_limit', - investment_period=year, - ) - except (AttributeError, KeyError, TypeError): - pass - return def add_capacity_max(n): - - carriers = capacity_limits_df.columns - - df = capacity_limits_df.copy() - n_buses = n.buses.shape[0] - - for carrier in carriers: - for year in df.index: - try: - limit = df.loc[year, carrier] / n_buses - n.add(class_name="GlobalConstraint", - name=f'{carrier} Capacity Limit {year}', - sense='<=', - carrier_attribute=carrier, - constant=limit, - type='tech_capacity_expansion_limit', - investment_period=year, - ) - except (AttributeError, KeyError, TypeError): - pass + if isinstance(capacity_limits_df, pd.DataFrame): + + carriers = capacity_limits_df.columns + + df = capacity_limits_df.copy() + n_buses = n.buses.shape[0] + + for carrier in carriers: + for year in df.index: + try: + limit = df.loc[year, carrier] / n_buses + n.add(class_name="GlobalConstraint", + name=f'{carrier} Capacity Limit {year}', + sense='<=', + carrier_attribute=carrier, + constant=limit, + type='tech_capacity_expansion_limit', + investment_period=year, + ) + except (AttributeError, KeyError, TypeError): + pass return @@ -502,7 +510,7 @@ def add_capacity_max(n): # add energy constraints - # add_retirements(n) + add_retirements(n) # add capacity constraints add_capacity_max(n) diff --git a/scripts/build_base_network.py b/scripts/build_base_network.py index f1a7112..2c06293 100644 --- a/scripts/build_base_network.py +++ b/scripts/build_base_network.py @@ -6,22 +6,26 @@ model_years = np.array(snakemake.config['model_years']).astype('int') resolution = int(snakemake.config['time_res']) +myopic = snakemake.config['myopic'] -def add_snapshots(network): +def add_snapshots(network, myopic=False): n_hours = 8760 - snapshots = pd.DatetimeIndex([]) - for year in model_years: - period = pd.date_range(start=f"{year}-01-01", - freq=f"{resolution}h", - periods=n_hours / resolution) - snapshots = snapshots.append(period) - - network.snapshots = pd.MultiIndex.from_arrays([snapshots.year, snapshots]) - network.investment_periods = model_years - - network.snapshot_weightings.loc[:,:] = resolution + if myopic: + raise NotImplementedError() + else: + snapshots = pd.DatetimeIndex([]) + for year in model_years: + period = pd.date_range(start=f"{year}-01-01", + freq=f"{resolution}h", + periods=n_hours / resolution) + snapshots = snapshots.append(period) + + network.snapshots = pd.MultiIndex.from_arrays([snapshots.year, snapshots]) + network.investment_periods = model_years + + network.snapshot_weightings.loc[:,:] = resolution return @@ -59,6 +63,5 @@ def base_network(): discounts = [(1 / (1 + r) ** t) for t in range(T, T + nyears)] n.investment_period_weightings.at[period, "objective"] = sum(discounts) T += nyears - n.investment_period_weightings n.export_to_netcdf(snakemake.output.network) \ No newline at end of file diff --git a/scripts/solve_network.py b/scripts/solve_network.py index b6bd029..9306baa 100644 --- a/scripts/solve_network.py +++ b/scripts/solve_network.py @@ -6,12 +6,14 @@ if __name__ == "__main__": solver = snakemake.config['solver'] + multi_invest = snakemake.config['multi_investment_periods'] n = pypsa.Network(snakemake.input.elec_network) try: - n.optimize(solver_name=solver) + n.optimize(solver_name=solver, multi_investment_periods=multi_invest) except: - n.optimize(solver_name='highs') + print('No CPLEX solver found. Reverting to HiGHS') + n.optimize(solver_name='highs', multi_investment_periods=multi_invest) n.export_to_netcdf(snakemake.output.solved_network) \ No newline at end of file From cd202d6d434ed0af0c8f5384ac23e5e236d4633b Mon Sep 17 00:00:00 2001 From: Sam Dotson Date: Tue, 10 Sep 2024 15:02:39 -0400 Subject: [PATCH 2/5] adds an energy max constraint function and updates plotting --- scripts/add_electricity.py | 35 +++++++++++++++++-- scripts/plot_results.py | 69 +++++++++++++++++++++++++++++--------- 2 files changed, 86 insertions(+), 18 deletions(-) diff --git a/scripts/add_electricity.py b/scripts/add_electricity.py index e7a74c3..1c92e3b 100644 --- a/scripts/add_electricity.py +++ b/scripts/add_electricity.py @@ -306,7 +306,7 @@ def attach_generators( # minimum/maximum power output if tech == 'LWR': - p_min_pu = 0.0 + p_min_pu = 0.9 p_max_pu = 1.0 else: p_max_pu = 1 @@ -449,6 +449,36 @@ def add_capacity_max(n): pass return + +def add_energy_max(n): + """ + This function applies an artificial "capacity max" by limiting + the amount of energy that a particular carrier can produce in + a given year. + """ + if isinstance(capacity_limits_df, pd.DataFrame): + + carriers = capacity_limits_df.columns + + df = capacity_limits_df.copy() + + for carrier in carriers: + for year in df.index: + try: + capacity_lim = df.loc[year, carrier] + energy_lim = capacity_lim*(8760/resolution) + name = f'{carrier} Energy Limit 2025' + n.add(class_name="GlobalConstraint", + type="operational_limit", + investment_period=2025, + sense="<=", + carrier_attribute=carrier, + name=f"{carrier} Energy Limit {year}", + constant=energy_lim) + except (AttributeError, KeyError, TypeError): + pass + + return if __name__ == "__main__": @@ -513,7 +543,8 @@ def add_capacity_max(n): add_retirements(n) # add capacity constraints - add_capacity_max(n) + # add_capacity_max(n) + # add_energy_max(n) # add co2 constraint emissions_dict = snakemake.config['co2_limits'] diff --git a/scripts/plot_results.py b/scripts/plot_results.py index c187195..eadbe08 100644 --- a/scripts/plot_results.py +++ b/scripts/plot_results.py @@ -8,13 +8,23 @@ 'Natural Gas', 'Biomass', 'Petroleum', + 'Wind', 'Solar', - 'Wind'] + ] def power_by_carrier(n): p_by_carrier = n.generators_t.p.T.groupby( n.generators.carrier).sum().T + + if not n.storage_units.empty: + sto = n.storage_units_t.p.T.groupby( + n.storage_units.carrier).sum().T + p_by_carrier = pd.concat([p_by_carrier, sto], axis=1) + + last_cols = [col for col in p_by_carrier.columns if col not in TECH_ORDER] + + p_by_carrier = p_by_carrier[TECH_ORDER+last_cols] return p_by_carrier @@ -24,13 +34,6 @@ def plot_dispatch(n, year=2025, month=7): time = (year, f'{year}-0{month}') p_by_carrier = power_by_carrier(n).div(1e3) - p_by_carrier = p_by_carrier[TECH_ORDER] - - if not n.storage_units.empty: - sto = n.storage_units_t.p.T.groupby( - n.storage_units.carrier).sum().T.div(1e3) - p_by_carrier = pd.concat([p_by_carrier, sto], axis=1) - # y-limits y_min = -n.storage_units_t.p_store.max().max() / 1e3 y_max = n.loads_t.p_set.sum(axis=1).max() / 1e3 @@ -169,26 +172,60 @@ def plot_monthly_generation(n, time_res, model_years): p_by_carrier = p_by_carrier.resample('ME', level='timestep').sum() - p_by_carrier = p_by_carrier[TECH_ORDER] + # y_min = -n.storage_units_t.p_store.max().max() / 1e3 + # y_max = n.loads_t.p_set.sum(axis=1).max() / 1e3 + # margin = 0.1 + # y_low = (1 + margin) * y_min + # y_high = (1 + margin) * y_max - color = p_by_carrier.columns.map(n.carriers.color) + fig, ax = plt.subplots(figsize=(12, 6)) + color = p_by_carrier.columns.map(n.carriers.color) + if len(model_years) > 1: fig, ax = plt.subplots(1,len(model_years), figsize=(16, 8), sharey=True) for i, year in enumerate(model_years): - p_by_carrier.loc[str(year)].plot.area(ax=ax[i], - color=color, - fontsize=16, ) + p_by_carrier.loc[str(year)].where(p_by_carrier > 0).plot.area(ax=ax[i], + linewidth=0, + color=color, + fontsize=16, ) ax[i].set_xlabel('') + + charge = p_by_carrier.where(p_by_carrier < 0).dropna(how="all",axis=1).loc[str(year)] + + if not charge.empty: + charge.plot.area( + ax=ax[i], + linewidth=0, + color=charge.columns.map(n.carriers.color), + # ylim=(y_low - margin, y_high + margin) + ) plt.tight_layout() plt.subplots_adjust(wspace=0, hspace=0) else: fig, ax = plt.subplots(figsize=(12,8)) - p_by_carrier.plot.area(ax=ax, - color=color, - fontsize=16, ) + p_by_carrier.where(p_by_carrier > 0).plot.area( + ax=ax, + linewidth=0, + color=color, + # ylim=(y_low - margin, y_high + margin) + ) + + charge = p_by_carrier.where( + p_by_carrier < 0).dropna( + how="all", + axis=1) + + if not charge.empty: + charge.plot.area( + ax=ax, + linewidth=0, + color=charge.columns.map(n.carriers.color), + # ylim=(y_low - margin, y_high + margin) + ) + ax.set_label('') return fig, ax From 8f238db019790ddcdc7cd272c7bb1318a2f9a0ce Mon Sep 17 00:00:00 2001 From: Sam Dotson Date: Tue, 10 Sep 2024 15:03:14 -0400 Subject: [PATCH 3/5] updates the config; feasible test --- config.yml | 103 +++++++++++++++++++++++++++++------------------------ dag.png | Bin 53393 -> 55549 bytes 2 files changed, 57 insertions(+), 46 deletions(-) diff --git a/config.yml b/config.yml index f240f2b..4b4c5e1 100644 --- a/config.yml +++ b/config.yml @@ -1,21 +1,22 @@ state_abbr: 'IL' -version: "2.0" +version: "11.0" scenario: "multi-invest-optimization-test" -solver: 'cplex' # 'cplex','highs','gurobi' +solver: 'highs' # 'cplex','highs','gurobi' geo_res: 'rto' # accepts: 'rto' or 'county' myopic: False multi_investment_periods: True -time_res: 4 # hours +time_res: 8 # hours load_filter: 60e3 # MW, load above this level will be removed as outliers. -total_demand: 185e6 # Annual MWh in the first year -# total_demand: 136e6 # Annual MWh in the first year +# total_demand: 185e6 # Annual MWh in the first year +total_demand: 136e6 # Annual MWh in the first year load_growth: 0.00 # % annual growth random_seed: 1234 -model_years: [2025, 2030, 2035, 2040, 2045] +# model_years: [2025, 2030, 2035, 2040, 2045] +model_years: [2030, 2035, 2040, 2045, 2050] # model_years: [2025] -plot_year: 2025 +plot_year: 2030 co2_limits: # 2020: 31.25 @@ -25,32 +26,32 @@ co2_limits: # 2040: 6.25 # 2045: 0.0 -# retirements: # need to have every modeled year, at least -# Natural Gas: -# 2025: -# 2030: 7445.50 -# 2035: -# 2040: -# 2045: 11459.7 -# Coal: -# 2025: -# 2030: 4981.60 -# 2035: 2433.40 -# 2040: -# 2045: - - - -# capacity_max: -# Solar: -# # 2025: 1693 -# 2025: 461 -# Wind: -# # 2025: 8700 -# 2025: 798 -# Batteries: -# # 2025: 114 -# 2025: 18 +retirements: # need to have every modeled year, at least + Natural Gas: + 2025: + 2030: 7445.50 + 2035: + 2040: + 2045: 11459.70 + 2050: + Coal: + 2025: + 2030: 4981.60 + 2035: + 2040: + 2045: 2435.40 + 2050: + +capacity_max: + Solar: + # 2025: 1693 + # 2025: 461 + Wind: + # 2025: 8700 + # 2025: 798 + Batteries: + # 2025: 114 + # 2025: 18 solar_years: [2016,2017,2018,2019,2020] # NSRDB only accepts years 1998-2020 wind_years: [2009,2010,2011,2012,2013] # WTK only goes from 2009-2013 @@ -65,14 +66,24 @@ region_names: ['MISO-Z4','ComEd'] discount_rate: 0.07 growth_rates: # MW/year - Nuclear: 1e9 - Biomass: 1e9 - Natural Gas: 10e9 - Coal: 10e9 - Petroleum: 10e9 - Batteries: 2.5e9 - Solar: 2.5e9 - Wind: 2.5e9 + Nuclear: "inf" + Biomass: "inf" + Natural Gas: "inf" + Coal: "inf" + Petroleum: "inf" + Batteries: "inf" + Solar: "inf" + Wind: "inf" + +# growth_rates: # MW/year +# Nuclear: 1e9 +# Biomass: 1e9 +# Natural Gas: 10e9 +# Coal: 10e9 +# Petroleum: 10e9 +# Batteries: 2.5e9 +# Solar: 2.5e9 +# Wind: 2.5e9 lifetime: Nuclear: 80 @@ -88,7 +99,7 @@ atb_params: atb_year: 2022 # the ATB publication year case: 'Market' # 'R&D' scenario: 'Moderate' # 'Conservative', 'Advanced' - crp: 20 # 30 + crp: 20 carrier: [ "Natural Gas", "Biomass", @@ -107,11 +118,11 @@ atb_params: 'IGCCAvgCF', 'LWR', 'NuclearSMR', - '10Hr Battery Storage', - '8Hr Battery Storage', - '6Hr Battery Storage', + # '10Hr Battery Storage', 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z8@_ksC6?)4k_FC6t_XtMo`0sVuiqYLkemaR^^jD zC5N<)rylTO8WBE>91|wn1(sAU2jonmjwQ*fPTw%S1iL}9mf8Oj!!ucSSWkDhgAbw3 zNF~=;v4@=EV&!d6{qQZzea3a2Mhd0TrLK5crZ9g@&HY!_@&R9`*@B;R;OYALuWw z^OVE6aW9t}$NJWS+F<_s;%0jnGdD)H2EX>Eiu%7=qkO35$%)1&F3e`%pJX0~@Af(M z#sRVeAKE4|(36ih9vtjLl4Z^tAST(XM!NEVPuB7*E@eQGSb2TbBAz#24PK3XxJ41C zl$Z)~Yw0#T3FjI_(F7{U7%rW(9o(v7-81m_-82x@DcHGV_GxoxSB=-^4mSpLnquwG zN3_HS0&M{*783NU2L8mm)N_G7+iLYTI%_Hk+?}{tJ1u2G8)bP zhrRPMYe4+aI;{O8h&m^%|7`Mf!~PMXY`Z4cq$lHd^`swQH5Fb0+q9QWBMp0I^VP23 z$nmL&W&OxKuWq%8nCac@zTn>PQ=qhc5FM&3zxH){v*{Nn0alRonCtrTtE%;W1Hq^#-em18p()9tcg$=Usd zOuF#5=3Vy)D^p6oCG?M)zu}UPjILDS#BXHm7g)^)X)@CeSRs?^1-s5uteaz< zVj^eQ3(68y79_WQ3YP69^qucD4_MODlH!qBe)w$j;!dgPUfjRO5FWeWSpjP;ff{Zw zUJ{-aap9{INgofmu&9+%qF1s`z)V}Os`OIOS$4uOl|6Bx0zx6ev- VnN=rb@FVgEjDqUzoLdi{{y*ER%xwSw From 7cc9a07d0850c548671b17fc3b66e5d5f184069c Mon Sep 17 00:00:00 2001 From: Sam Dotson Date: Tue, 10 Sep 2024 15:07:46 -0400 Subject: [PATCH 4/5] updates the env file --- environment.yml | 108 +++++++++++++++++++++++++++++------------------- 1 file changed, 65 insertions(+), 43 deletions(-) diff --git a/environment.yml b/environment.yml index 6e73037..3999e0c 100644 --- a/environment.yml +++ b/environment.yml @@ -1,47 +1,69 @@ name: pypsa-illinois channels: - - conda-forge - - bioconda +- conda-forge +- bioconda dependencies: - # Requirements for core model functionality - - python==3.10.13 - - pip - - ipython - - ipykernel - - - matplotlib - - pandas - - geopandas - - numpy - - scipy +- python<3.12 +- pip - - jupyter - - jupyterlab - - seaborn - - pypsa - - plotly - - pyarrow - - iprogress - - pyogrio - - fiona - - spyder-kernels=2.5 - - unyt - - cartopy - - descartes - - lxml - - snakemake - - pycountry - - yaml - - geopy - - tqdm - - graphviz - - networkx - - pytz - - camelot-py - - pip: - - git+https://github.com/kmax12/gridstatus.git - - python-dotenv - - highspy - - nrelpy - - us - - census +- atlite>=0.2.9 +- pypsa>=0.3 +- linopy +- dask + + # Dependencies of the workflow itself +- xlrd +- openpyxl!=3.1.1 +- seaborn +- snakemake-minimal>=8.14 +- memory_profiler +- yaml +- pytables +- lxml +- powerplantmatching>=0.5.15 +- numpy +- pandas>=2.1 +- geopandas>=1 +- xarray>=2023.11.0 +- rioxarray +- netcdf4 +- networkx +- scipy +- glpk +- shapely>=2.0 +- pyscipopt +- unyt +- matplotlib +- proj +- fiona +- country_converter +- geopy +- tqdm +- pytz +- jpype1 +- pyxlsb +- graphviz +- pre-commit +- geojson + + # Keep in conda environment when calling ipython +- ipython + + # GIS dependencies: +- cartopy +- descartes +- rasterio!=1.2.10 + + +- pip: + - tsam>=2.3.1 + - snakemake-storage-plugin-http + - snakemake-executor-plugin-slurm + - snakemake-executor-plugin-cluster-generic + - highspy + - tabula-py + - git+https://github.com/kmax12/gridstatus.git + - python-dotenv + - nrelpy + - us + - census \ No newline at end of file From 2ecc37d482c64ddf73b103948ebcafc332d885fb Mon Sep 17 00:00:00 2001 From: Lee Shaver Date: Wed, 11 Sep 2024 11:26:39 -0500 Subject: [PATCH 5/5] Add Sam's suggestions Co-authored-by: Sam Dotson <44342873+samgdotson@users.noreply.github.com> --- scripts/add_electricity.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/scripts/add_electricity.py b/scripts/add_electricity.py index 1c92e3b..eb5a099 100644 --- a/scripts/add_electricity.py +++ b/scripts/add_electricity.py @@ -467,10 +467,10 @@ def add_energy_max(n): try: capacity_lim = df.loc[year, carrier] energy_lim = capacity_lim*(8760/resolution) - name = f'{carrier} Energy Limit 2025' + name = f'{carrier} Energy Limit {year}' n.add(class_name="GlobalConstraint", type="operational_limit", - investment_period=2025, + investment_period=year, sense="<=", carrier_attribute=carrier, name=f"{carrier} Energy Limit {year}",