From 1aa4f12c5e21546a850d11de9c4c4eb466b9853b Mon Sep 17 00:00:00 2001
From: Fabian Neumann <fabian.neumann@outlook.de>
Date: Wed, 15 May 2024 16:49:26 +0200
Subject: [PATCH] remove adjust_transport_temporal_agg

---
 scripts/prepare_perfect_foresight.py |  2 --
 scripts/prepare_sector_network.py    | 28 ----------------------------
 2 files changed, 30 deletions(-)

diff --git a/scripts/prepare_perfect_foresight.py b/scripts/prepare_perfect_foresight.py
index b4b7ddec..fea0cef4 100644
--- a/scripts/prepare_perfect_foresight.py
+++ b/scripts/prepare_perfect_foresight.py
@@ -18,7 +18,6 @@ from _helpers import (
     update_config_from_wildcards,
 )
 from add_existing_baseyear import add_build_year_to_new_assets
-from prepare_sector_network import adjust_transport_temporal_agg
 from pypsa.descriptors import expand_series
 from pypsa.io import import_components_from_dataframe
 from six import iterkeys
@@ -521,7 +520,6 @@ if __name__ == "__main__":
     segments = snakemake.params.time_resolution
     if isinstance(segments, (int, float)):
         n = apply_time_segmentation_perfect(n, segments, solver_name=solver_name)
-        adjust_transport_temporal_agg(n)
 
     # adjust global constraints lv limit if the same for all years
     n = adjust_lvlimit(n)
diff --git a/scripts/prepare_sector_network.py b/scripts/prepare_sector_network.py
index 0ef99f62..af9491b0 100755
--- a/scripts/prepare_sector_network.py
+++ b/scripts/prepare_sector_network.py
@@ -3751,32 +3751,6 @@ def lossy_bidirectional_links(n, carrier, efficiencies={}):
         )
 
 
-def adjust_transport_temporal_agg(n):
-
-    engine_types = {
-        "fuel_cell": "land transport fuel cell",
-        "electric": "land transport EV",
-        "ice": "land transport oil",
-    }
-
-    p_set = n.loads_t.p_set.loc[:, n.loads.carrier == "land transport demand"]
-
-    for engine, carrier in engine_types.items():
-        share = get(options[f"land_transport_{engine}_share"], investment_year)
-
-        if share == 0:
-            continue
-        links_i = n.links[n.links.carrier == carrier].index
-        efficiency = n.links_t.efficiency.loc[:, links_i]
-        p_set.columns = efficiency.columns
-        p_nom = share * p_set.div(efficiency).max()
-        profile = p_set.div(efficiency) / p_set.div(efficiency).max()
-
-        n.links.loc[links_i, "p_nom"] = p_nom
-        n.links_t.p_max_pu[links_i] = profile
-        n.links_t.p_min_pu[links_i] = profile
-
-
 # %%
 if __name__ == "__main__":
     if "snakemake" not in globals():
@@ -3881,8 +3855,6 @@ if __name__ == "__main__":
     resolution = snakemake.params.time_resolution
     n = set_temporal_aggregation(n, resolution, solver_name)
 
-    adjust_transport_temporal_agg(n)
-
     co2_budget = snakemake.params.co2_budget
     if isinstance(co2_budget, str) and co2_budget.startswith("cb"):
         fn = "results/" + snakemake.params.RDIR + "/csvs/carbon_budget_distribution.csv"