improve code style
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5502943301
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08cef37e7e
@ -223,6 +223,26 @@ def plot_map(network, components=["links", "stores", "storage_units", "generator
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bbox_inches="tight"
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)
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def group_pipes(df, drop_direction=False):
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"""Group pipes which connect same buses and return overall capacity.
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"""
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if drop_direction:
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positive_order = df.bus0 < df.bus1
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df_p = df[positive_order]
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swap_buses = {"bus0": "bus1", "bus1": "bus0"}
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df_n = df[~positive_order].rename(columns=swap_buses)
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df = pd.concat([df_p, df_n])
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# there are pipes for each investment period rename to AC buses name for plotting
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df.index = df.apply(
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lambda x: f"H2 pipeline {x.bus0.replace(' H2', '')} -> {x.bus1.replace(' H2', '')}",
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axis=1
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)
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# group pipe lines connecting the same buses and rename them for plotting
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pipe_capacity = df["p_nom_opt"].groupby(level=0).sum()
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return pipe_capacity
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def plot_h2_map(network):
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@ -246,31 +266,15 @@ def plot_h2_map(network):
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# make a fake MultiIndex so that area is correct for legend
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bus_sizes.rename(index=lambda x: x.replace(" H2", ""), level=0, inplace=True)
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# frop all links which are not H2 pipelines
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n.links.drop(n.links.index[~n.links.carrier.str.contains("H2 pipeline")], inplace=True)
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h2_new = n.links.loc[n.links.carrier=="H2 pipeline"]
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h2_retro = n.links.loc[n.links.carrier=='H2 pipeline retrofitted']
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# sum capacitiy for pipelines from different investment periods
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h2_new = group_pipes(h2_new)
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h2_retro = group_pipes(h2_retro, drop_direction=True).reindex(h2_new.index).fillna(0)
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positive_order = h2_retro.bus0 < h2_retro.bus1
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h2_retro_p = h2_retro[positive_order]
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swap_buses = {"bus0": "bus1", "bus1": "bus0"}
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h2_retro_n = h2_retro[~positive_order].rename(columns=swap_buses)
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h2_retro = pd.concat([h2_retro_p, h2_retro_n])
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h2_retro.index = h2_retro.apply(
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lambda x: f"H2 pipeline {x.bus0.replace(' H2', '')} -> {x.bus1.replace(' H2', '')}",
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axis=1
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)
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h2_new.index = h2_new.apply(
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lambda x: f"H2 pipeline {x.bus0.replace(' H2', '')} -> {x.bus1.replace(' H2', '')}"
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,axis=1)
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h2_new = h2_new["p_nom_opt"].groupby(level=0).sum()
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h2_retro = h2_retro["p_nom_opt"].groupby(level=0).sum()
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h2_retro = h2_retro.groupby(level=0).sum().reindex(h2_new.index).fillna(0)
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n.links.rename(index=lambda x: x.split("-2")[0], inplace=True)
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n.links = n.links.groupby(level=0).first()
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@ -185,6 +185,8 @@ def add_chp_constraints(n):
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define_constraints(n, lhs, "<=", 0, 'chplink', 'backpressure')
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def basename(x):
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return x.split("-2")[0]
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def add_pipe_retrofit_constraint(n):
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"""Add constraint for retrofitting existing CH4 pipelines to H2 pipelines."""
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@ -201,10 +203,9 @@ def add_pipe_retrofit_constraint(n):
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fr = "H2 pipeline retrofitted"
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to = "gas pipeline"
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pipe_capacity = n.links.loc[gas_pipes_i, 'p_nom'].rename(index=lambda x: x.split("-2")[0])
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pipe_capacity = n.links.loc[gas_pipes_i, 'p_nom'].rename(basename)
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already_retrofitted = (n.links.loc[h2_retrofitted_fixed_i, 'p_nom']
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.rename(index= lambda x: x.split("-2")[0]
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.replace(fr, to)).groupby(level=0).sum())
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.rename(lambda x: basename(x).replace(fr, to)).groupby(level=0).sum())
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remaining_capacity = pipe_capacity - CH4_per_H2 * already_retrofitted.reindex(index=pipe_capacity.index).fillna(0)
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lhs = linexpr(
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@ -212,7 +213,7 @@ def add_pipe_retrofit_constraint(n):
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(1, link_p_nom.loc[gas_pipes_i])
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)
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lhs.rename(index=lambda x: x.split("-2")[0], inplace=True)
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lhs.rename(basename, inplace=True)
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define_constraints(n, lhs, "=", remaining_capacity, 'Link', 'pipe_retrofit')
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@ -284,7 +285,7 @@ if __name__ == "__main__":
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'solve_network_myopic',
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simpl='',
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opts="",
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clusters="45",
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clusters="37",
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lv=1.0,
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sector_opts='168H-T-H-B-I-A-solar+p3-dist1',
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planning_horizons="2030",
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