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# -*- coding: utf-8 -*-
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"""
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The module containing code aiming to insert the methane grid into the database
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The central module containing all code dealing with the import of data
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from SciGRID_gas (IGGIELGN dataset) and with the insertion fo the CH4
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buses and links into the database for the scenarios eGon2035 and eGon100RE.
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The SciGRID_gas data downloaded with :py:func:`download_SciGRID_gas_data`
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into the folder ./datasets/gas_data/data are also used by other modules.
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In this module, only the IGGIELGN_Nodes and IGGIELGN_PipeSegments cvs files
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are used in the function :py:func:`insert_gas_data` that inserts the CH4
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buses and links, which for the case of gas represent pipelines, into the
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database.
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"""
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from pathlib import Path
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from urllib.request import urlretrieve
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from zipfile import ZipFile
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import ast
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import json
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import os
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from geoalchemy2.types import Geometry
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from shapely import geometry
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import geopandas
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import numpy as np
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import pandas as pd
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from egon.data import config, db
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from egon.data.config import settings
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from egon.data.datasets import Dataset
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from egon.data.datasets.electrical_neighbours import central_buses_egon100
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from egon.data.datasets.etrago_helpers import copy_and_modify_buses
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from egon.data.datasets.scenario_parameters import get_sector_parameters
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class GasNodesAndPipes(Dataset):
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"""
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Insert the CH4 buses and links into the database.
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Insert the CH4 buses and links, which for the case of gas represent
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pipelines, into the database for the scenarios eGon2035 and eGon100RE
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with the functions :py:func:`insert_gas_data` and :py:func:`insert_gas_data_eGon100RE`.
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*Dependencies*
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* :py:class:`DataBundle <egon.data.datasets.data_bundle.DataBundle>`
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* :py:class:`ElectricalNeighbours <egon.data.datasets.electrical_neighbours.ElectricalNeighbours>`
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* :py:class:`Osmtgmod <egon.data.datasets.osmtgmod.Osmtgmod>`
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* :py:class:`ScenarioParameters <egon.data.datasets.scenario_parameters.ScenarioParameters>`
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* :py:class:`EtragoSetup <egon.data.datasets.etrago_setup.EtragoSetup>` (more specifically the :func:`create_tables <egon.data.datasets.etrago_setup.create_tables>` task)
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*Resulting tables*
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* :py:class:`grid.egon_etrago_bus <egon.data.datasets.etrago_setup.EgonPfHvBus>` is extended
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* :py:class:`grid.egon_etrago_link <egon.data.datasets.etrago_setup.EgonPfHvLink>` is extended
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"""
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#:
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name: str = "GasNodesAndPipes"
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#:
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version: str = "0.0.9"
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def __init__(self, dependencies):
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super().__init__(
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name=self.name,
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version=self.version,
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dependencies=dependencies,
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tasks=(insert_gas_data, insert_gas_data_eGon100RE),
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)
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def download_SciGRID_gas_data():
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"""
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Download SciGRID_gas IGGIELGN data from Zenodo
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The following data for CH4 are downloaded into the folder
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./datasets/gas_data/data:
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* Buses (file IGGIELGN_Nodes.csv),
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* Pipelines (file IGGIELGN_PipeSegments.csv),
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* Productions (file IGGIELGN_Productions.csv),
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* Storages (file IGGIELGN_Storages.csv),
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* LNG terminals (file IGGIELGN_LNGs.csv).
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For more information on these data refer, to the
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`SciGRID_gas IGGIELGN documentation <https://zenodo.org/record/4767098>`_.
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Returns
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-------
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None
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"""
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path = Path(".") / "datasets" / "gas_data"
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os.makedirs(path, exist_ok=True)
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basename = "IGGIELGN"
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zip_file = Path(".") / "datasets" / "gas_data" / "IGGIELGN.zip"
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zenodo_zip_file_url = (
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"https://zenodo.org/record/4767098/files/" + basename + ".zip"
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)
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if not os.path.isfile(zip_file):
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urlretrieve(zenodo_zip_file_url, zip_file)
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components = [
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"Nodes",
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"PipeSegments",
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"Productions",
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"Storages",
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"LNGs",
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] #'Compressors'
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files = []
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for i in components:
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files.append("data/" + basename + "_" + i + ".csv")
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with ZipFile(zip_file, "r") as zipObj:
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listOfFileNames = zipObj.namelist()
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for fileName in listOfFileNames:
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if fileName in files:
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zipObj.extract(fileName, path)
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def define_gas_nodes_list():
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"""
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Define list of CH4 buses from SciGRID_gas IGGIELGN data
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The CH4 nodes are modelled as buses. Therefore the SciGRID_gas nodes
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are red from the IGGIELGN_Nodes cvs file previously downloaded in the
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function :py:func:`download_SciGRID_gas_data`, corrected (erroneous country),
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and returned as dataframe.
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Returns
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-------
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gas_nodes_list : pandas.DataFrame
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Dataframe containing the gas nodes in Europe
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"""
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# Select next id value
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new_id = db.next_etrago_id("bus")
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target_file = (
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Path(".") / "datasets" / "gas_data" / "data" / "IGGIELGN_Nodes.csv"
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)
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gas_nodes_list = pd.read_csv(
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target_file,
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delimiter=";",
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decimal=".",
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usecols=["lat", "long", "id", "country_code", "param"],
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)
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# Correct non valid neighbouring country nodes
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gas_nodes_list.loc[
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gas_nodes_list["id"] == "INET_N_1182", "country_code"
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] = "AT"
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gas_nodes_list.loc[
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gas_nodes_list["id"] == "SEQ_10608_p", "country_code"
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] = "NL"
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gas_nodes_list.loc[
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gas_nodes_list["id"] == "N_88_NS_LMGN", "country_code"
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] = "XX"
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gas_nodes_list = gas_nodes_list.rename(columns={"lat": "y", "long": "x"})
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gas_nodes_list["bus_id"] = range(new_id, new_id + len(gas_nodes_list))
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gas_nodes_list = gas_nodes_list.set_index("id")
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return gas_nodes_list
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def ch4_nodes_number_G(gas_nodes_list):
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"""
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Return the number of CH4 buses in Germany
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Parameters
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----------
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gas_nodes_list : pandas.DataFrame
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Dataframe containing the gas nodes in Europe
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Returns
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-------
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N_ch4_nodes_G : int
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Number of CH4 buses in Germany
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"""
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ch4_nodes_list = gas_nodes_list[
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gas_nodes_list["country_code"].str.match("DE")
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]
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N_ch4_nodes_G = len(ch4_nodes_list)
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return N_ch4_nodes_G
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def insert_CH4_nodes_list(gas_nodes_list):
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"""
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Insert list of German CH4 nodes into the database for eGon2035
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Insert the list of German CH4 nodes into the database by executing
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the following steps:
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* Receive the buses as parameter (from SciGRID_gas IGGIELGN data)
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* Add the missing information: scn_name and carrier
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* Clean the database table grid.egon_etrago_bus of the
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CH4 buses of the specific scenario (eGon2035) in Germany
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* Insert the buses in the table grid.egon_etrago_bus
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Parameters
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----------
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gas_nodes_list : pandas.DataFrame
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Dataframe containing the gas nodes in Europe
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Returns
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-------
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None
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"""
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# Connect to local database
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engine = db.engine()
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gas_nodes_list = gas_nodes_list[
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gas_nodes_list["country_code"].str.match("DE")
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] # To eventually replace with a test if the nodes are in the german boundaries.
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# Cut data to federal state if in testmode
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NUTS1 = []
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for index, row in gas_nodes_list.iterrows():
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param = ast.literal_eval(row["param"])
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NUTS1.append(param["nuts_id_1"])
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gas_nodes_list = gas_nodes_list.assign(NUTS1=NUTS1)
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boundary = settings()["egon-data"]["--dataset-boundary"]
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if boundary != "Everything":
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map_states = {
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"Baden-Württemberg": "DE1",
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"Nordrhein-Westfalen": "DEA",
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"Hessen": "DE7",
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"Brandenburg": "DE4",
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"Bremen": "DE5",
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"Rheinland-Pfalz": "DEB",
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"Sachsen-Anhalt": "DEE",
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"Schleswig-Holstein": "DEF",
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"Mecklenburg-Vorpommern": "DE8",
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"Thüringen": "DEG",
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"Niedersachsen": "DE9",
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"Sachsen": "DED",
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"Hamburg": "DE6",
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"Saarland": "DEC",
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"Berlin": "DE3",
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"Bayern": "DE2",
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}
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gas_nodes_list = gas_nodes_list[
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gas_nodes_list["NUTS1"].isin([map_states[boundary], np.nan])
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]
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# A completer avec nodes related to pipelines which have an end in the selected area et evt deplacer ds define_gas_nodes_list
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# Add missing columns
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c = {"scn_name": "eGon2035", "carrier": "CH4"}
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gas_nodes_list = gas_nodes_list.assign(**c)
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gas_nodes_list = geopandas.GeoDataFrame(
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gas_nodes_list,
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geometry=geopandas.points_from_xy(
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gas_nodes_list["x"], gas_nodes_list["y"]
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),
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)
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gas_nodes_list = gas_nodes_list.rename(
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columns={"geometry": "geom"}
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).set_geometry("geom", crs=4326)
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gas_nodes_list = gas_nodes_list.reset_index(drop=True)
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gas_nodes_list = gas_nodes_list.drop(
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columns=["NUTS1", "param", "country_code"]
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)
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# Insert data to db
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db.execute_sql(
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f"""
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DELETE FROM grid.egon_etrago_bus WHERE "carrier" = 'CH4' AND
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scn_name = '{c['scn_name']}' AND country = 'DE';
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"""
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283
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)
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285
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# Insert CH4 data to db
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286
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print(gas_nodes_list)
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gas_nodes_list.to_postgis(
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288
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"egon_etrago_bus",
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engine,
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schema="grid",
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index=False,
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292
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if_exists="append",
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293
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dtype={"geom": Geometry()},
|
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294
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)
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296
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|
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def define_gas_buses_abroad(scn_name="eGon2035"):
|
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297
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"""
|
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298
|
|
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Define central CH4 buses in foreign countries for eGon2035
|
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299
|
|
|
|
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300
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For the scenario eGon2035, define central CH4 buses in foreign
|
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301
|
|
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countries. The considered foreign countries are the direct
|
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302
|
|
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neighbouring countries, with the addition of Russia that is
|
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303
|
|
|
considered as a source of fossil CH4.
|
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304
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Therefore, the following steps are executed:
|
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305
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* Definition of the foreign buses with the function
|
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306
|
|
|
:py:func:`central_buses_egon100 <egon.data.datasets.electrical_neighbours.central_buses_egon100>` from
|
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307
|
|
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the module :py:mod:`electrical_neighbours <egon.data.datasets.electrical_neighbours>`
|
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308
|
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* Removal of the superfluous buses in order to have only one bus
|
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309
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in each neighbouring country
|
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310
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* Removal of the the irrelevant columns
|
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311
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* Addition of the missing information: scn_name and carrier
|
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312
|
|
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* Attribution of an id to each bus
|
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313
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314
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Parameters
|
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315
|
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|
----------
|
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316
|
|
|
scn_name : str
|
|
317
|
|
|
Name of the scenario
|
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318
|
|
|
|
|
319
|
|
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Returns
|
|
320
|
|
|
-------
|
|
321
|
|
|
gdf_abroad_buses : pandas.DataFrame
|
|
322
|
|
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Dataframe containing the gas buses in the neighbouring countries
|
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323
|
|
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and one in the center of Germany in test mode
|
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324
|
|
|
|
|
325
|
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|
"""
|
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326
|
|
|
# Select sources and targets from dataset configuration
|
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327
|
|
|
sources = config.datasets()["electrical_neighbours"]["sources"]
|
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328
|
|
|
|
|
329
|
|
|
main_gas_carrier = get_sector_parameters("gas", scenario=scn_name)[
|
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330
|
|
|
"main_gas_carrier"
|
|
331
|
|
|
]
|
|
332
|
|
|
|
|
333
|
|
|
# Select the foreign buses
|
|
334
|
|
|
gdf_abroad_buses = central_buses_egon100(sources)
|
|
335
|
|
|
gdf_abroad_buses = gdf_abroad_buses.drop_duplicates(subset=["country"])
|
|
336
|
|
|
|
|
337
|
|
|
# Select next id value
|
|
338
|
|
|
new_id = db.next_etrago_id("bus")
|
|
339
|
|
|
|
|
340
|
|
|
gdf_abroad_buses = gdf_abroad_buses.drop(
|
|
341
|
|
|
columns=[
|
|
342
|
|
|
"v_nom",
|
|
343
|
|
|
"v_mag_pu_set",
|
|
344
|
|
|
"v_mag_pu_min",
|
|
345
|
|
|
"v_mag_pu_max",
|
|
346
|
|
|
"geom",
|
|
347
|
|
|
]
|
|
348
|
|
|
)
|
|
349
|
|
|
gdf_abroad_buses["scn_name"] = "eGon2035"
|
|
350
|
|
|
gdf_abroad_buses["carrier"] = main_gas_carrier
|
|
351
|
|
|
gdf_abroad_buses["bus_id"] = range(new_id, new_id + len(gdf_abroad_buses))
|
|
352
|
|
|
|
|
353
|
|
|
# Add central bus in Russia
|
|
354
|
|
|
gdf_abroad_buses = gdf_abroad_buses.append(
|
|
355
|
|
|
{
|
|
356
|
|
|
"scn_name": scn_name,
|
|
357
|
|
|
"bus_id": (new_id + len(gdf_abroad_buses) + 1),
|
|
358
|
|
|
"x": 41,
|
|
359
|
|
|
"y": 55,
|
|
360
|
|
|
"country": "RU",
|
|
361
|
|
|
"carrier": main_gas_carrier,
|
|
362
|
|
|
},
|
|
363
|
|
|
ignore_index=True,
|
|
364
|
|
|
)
|
|
365
|
|
|
# if in test mode, add bus in center of Germany
|
|
366
|
|
|
boundary = settings()["egon-data"]["--dataset-boundary"]
|
|
367
|
|
|
|
|
368
|
|
|
if boundary != "Everything":
|
|
369
|
|
|
gdf_abroad_buses = gdf_abroad_buses.append(
|
|
370
|
|
|
{
|
|
371
|
|
|
"scn_name": scn_name,
|
|
372
|
|
|
"bus_id": (new_id + len(gdf_abroad_buses) + 1),
|
|
373
|
|
|
"x": 10.4234469,
|
|
374
|
|
|
"y": 51.0834196,
|
|
375
|
|
|
"country": "DE",
|
|
376
|
|
|
"carrier": main_gas_carrier,
|
|
377
|
|
|
},
|
|
378
|
|
|
ignore_index=True,
|
|
379
|
|
|
)
|
|
380
|
|
|
|
|
381
|
|
|
gdf_abroad_buses = geopandas.GeoDataFrame(
|
|
382
|
|
|
gdf_abroad_buses,
|
|
383
|
|
|
geometry=geopandas.points_from_xy(
|
|
384
|
|
|
gdf_abroad_buses["x"], gdf_abroad_buses["y"]
|
|
385
|
|
|
),
|
|
386
|
|
|
)
|
|
387
|
|
|
gdf_abroad_buses = gdf_abroad_buses.rename(
|
|
388
|
|
|
columns={"geometry": "geom"}
|
|
389
|
|
|
).set_geometry("geom", crs=4326)
|
|
390
|
|
|
|
|
391
|
|
|
return gdf_abroad_buses
|
|
392
|
|
|
|
|
393
|
|
|
|
|
394
|
|
|
def insert_gas_buses_abroad(scn_name="eGon2035"):
|
|
395
|
|
|
"""
|
|
396
|
|
|
Insert CH4 buses in neighbouring countries to database for eGon2035
|
|
397
|
|
|
|
|
398
|
|
|
* Definition of the CH4 buses abroad with the function
|
|
399
|
|
|
:py:func:`define_gas_buses_abroad`
|
|
400
|
|
|
* Cleaning of the data base table grid.egon_etrago_bus of the
|
|
401
|
|
|
CH4 buses of the specific scenario (eGon2035) out of Germany
|
|
402
|
|
|
* Insertion of the neighbouring buses in the table grid.egon_etrago_bus.
|
|
403
|
|
|
|
|
404
|
|
|
Parameters
|
|
405
|
|
|
----------
|
|
406
|
|
|
scn_name : str
|
|
407
|
|
|
Name of the scenario
|
|
408
|
|
|
|
|
409
|
|
|
Returns
|
|
410
|
|
|
-------
|
|
411
|
|
|
gdf_abroad_buses : dataframe
|
|
412
|
|
|
Dataframe containing the CH4 buses in the neighbouring countries
|
|
413
|
|
|
and one in the center of Germany in test mode
|
|
414
|
|
|
"""
|
|
415
|
|
|
main_gas_carrier = get_sector_parameters("gas", scenario=scn_name)[
|
|
416
|
|
|
"main_gas_carrier"
|
|
417
|
|
|
]
|
|
418
|
|
|
|
|
419
|
|
|
# Connect to local database
|
|
420
|
|
|
engine = db.engine()
|
|
421
|
|
|
db.execute_sql(
|
|
422
|
|
|
f"""
|
|
423
|
|
|
DELETE FROM grid.egon_etrago_bus WHERE "carrier" = '{main_gas_carrier}' AND
|
|
424
|
|
|
scn_name = '{scn_name}' AND country != 'DE';
|
|
425
|
|
|
"""
|
|
426
|
|
|
)
|
|
427
|
|
|
|
|
428
|
|
|
gdf_abroad_buses = define_gas_buses_abroad(scn_name)
|
|
429
|
|
|
|
|
430
|
|
|
# Insert to db
|
|
431
|
|
|
print(gdf_abroad_buses)
|
|
432
|
|
|
gdf_abroad_buses.to_postgis(
|
|
433
|
|
|
"egon_etrago_bus",
|
|
434
|
|
|
engine,
|
|
435
|
|
|
schema="grid",
|
|
436
|
|
|
index=False,
|
|
437
|
|
|
if_exists="append",
|
|
438
|
|
|
dtype={"geom": Geometry()},
|
|
439
|
|
|
)
|
|
440
|
|
|
return gdf_abroad_buses
|
|
441
|
|
|
|
|
442
|
|
|
|
|
443
|
|
|
def define_gas_pipeline_list(
|
|
444
|
|
|
gas_nodes_list, abroad_gas_nodes_list, scn_name="eGon2035"
|
|
445
|
|
|
):
|
|
446
|
|
|
"""
|
|
447
|
|
|
Define gas pipelines in Germany from SciGRID_gas IGGIELGN data
|
|
448
|
|
|
|
|
449
|
|
|
The gas pipelines, modelled as Pypsa links are red from the IGGIELGN_PipeSegments
|
|
450
|
|
|
csv file previously downloded in the function :py:func:`download_SciGRID_gas_data`.
|
|
451
|
|
|
|
|
452
|
|
|
The capacities of the pipelines are determined by the correspondance
|
|
453
|
|
|
table given by the Parameters for the classification of gas pipelines
|
|
454
|
|
|
in `Electricity, heat, and gas sector data for modeling the German system
|
|
455
|
|
|
<https://www.econstor.eu/bitstream/10419/173388/1/1011162628.pdf>`_
|
|
456
|
|
|
related to the pipeline diameter given in the SciGRID_gas dataset.
|
|
457
|
|
|
|
|
458
|
|
|
The manual corrections allows to:
|
|
459
|
|
|
* Delete gas pipelines disconnected of the rest of the gas grid
|
|
460
|
|
|
* Connect one pipeline (also connected to Norway) disconnected of
|
|
461
|
|
|
the rest of the gas grid
|
|
462
|
|
|
* Correct erroneous country of some pipelines
|
|
463
|
|
|
|
|
464
|
|
|
Parameters
|
|
465
|
|
|
----------
|
|
466
|
|
|
gas_nodes_list : dataframe
|
|
467
|
|
|
Dataframe containing the gas nodes in Europe
|
|
468
|
|
|
abroad_gas_nodes_list: dataframe
|
|
469
|
|
|
Dataframe containing the gas buses in the neighbouring countries
|
|
470
|
|
|
and one in the center of Germany in test mode
|
|
471
|
|
|
scn_name : str
|
|
472
|
|
|
Name of the scenario
|
|
473
|
|
|
|
|
474
|
|
|
Returns
|
|
475
|
|
|
-------
|
|
476
|
|
|
gas_pipelines_list : pandas.DataFrame
|
|
477
|
|
|
Dataframe containing the gas pipelines in Germany
|
|
478
|
|
|
|
|
479
|
|
|
"""
|
|
480
|
|
|
abroad_gas_nodes_list = abroad_gas_nodes_list.set_index("country")
|
|
481
|
|
|
|
|
482
|
|
|
main_gas_carrier = get_sector_parameters("gas", scenario=scn_name)[
|
|
483
|
|
|
"main_gas_carrier"
|
|
484
|
|
|
]
|
|
485
|
|
|
|
|
486
|
|
|
# Select next id value
|
|
487
|
|
|
new_id = db.next_etrago_id("link")
|
|
488
|
|
|
|
|
489
|
|
|
classifiaction_file = (
|
|
490
|
|
|
Path(".")
|
|
491
|
|
|
/ "data_bundle_egon_data"
|
|
492
|
|
|
/ "pipeline_classification_gas"
|
|
493
|
|
|
/ "pipeline_classification.csv"
|
|
494
|
|
|
)
|
|
495
|
|
|
|
|
496
|
|
|
classification = pd.read_csv(
|
|
497
|
|
|
classifiaction_file,
|
|
498
|
|
|
delimiter=",",
|
|
499
|
|
|
usecols=["classification", "max_transport_capacity_Gwh/d"],
|
|
500
|
|
|
)
|
|
501
|
|
|
|
|
502
|
|
|
target_file = (
|
|
503
|
|
|
Path(".")
|
|
504
|
|
|
/ "datasets"
|
|
505
|
|
|
/ "gas_data"
|
|
506
|
|
|
/ "data"
|
|
507
|
|
|
/ "IGGIELGN_PipeSegments.csv"
|
|
508
|
|
|
)
|
|
509
|
|
|
|
|
510
|
|
|
gas_pipelines_list = pd.read_csv(
|
|
511
|
|
|
target_file,
|
|
512
|
|
|
delimiter=";",
|
|
513
|
|
|
decimal=".",
|
|
514
|
|
|
usecols=["id", "node_id", "lat", "long", "country_code", "param"],
|
|
515
|
|
|
)
|
|
516
|
|
|
|
|
517
|
|
|
# Select the links having at least one bus in Germany
|
|
518
|
|
|
gas_pipelines_list = gas_pipelines_list[
|
|
519
|
|
|
gas_pipelines_list["country_code"].str.contains("DE")
|
|
520
|
|
|
]
|
|
521
|
|
|
# Remove links disconnected of the rest of the grid
|
|
522
|
|
|
# Remove manually for disconnected link EntsoG_Map__ST_195 and EntsoG_Map__ST_108
|
|
523
|
|
|
gas_pipelines_list = gas_pipelines_list[
|
|
524
|
|
|
gas_pipelines_list["node_id"] != "['SEQ_11790_p', 'Stor_EU_107']"
|
|
525
|
|
|
]
|
|
526
|
|
|
gas_pipelines_list = gas_pipelines_list[
|
|
527
|
|
|
~gas_pipelines_list["id"].str.match("EntsoG_Map__ST_108")
|
|
528
|
|
|
]
|
|
529
|
|
|
|
|
530
|
|
|
# Manually add pipeline to artificially connect isolated pipeline
|
|
531
|
|
|
gas_pipelines_list.at["new_pipe", "param"] = gas_pipelines_list[
|
|
532
|
|
|
gas_pipelines_list["id"] == "NO_PS_8_Seg_0_Seg_23"
|
|
533
|
|
|
]["param"].values[0]
|
|
534
|
|
|
gas_pipelines_list.at[
|
|
535
|
|
|
"new_pipe", "node_id"
|
|
536
|
|
|
] = "['SEQ_12442_p', 'LKD_N_200']"
|
|
537
|
|
|
gas_pipelines_list.at["new_pipe", "lat"] = "[53.358536, 53.412719]"
|
|
538
|
|
|
gas_pipelines_list.at["new_pipe", "long"] = "[7.041677, 7.093251]"
|
|
539
|
|
|
gas_pipelines_list.at["new_pipe", "country_code"] = "['DE', 'DE']"
|
|
540
|
|
|
|
|
541
|
|
|
gas_pipelines_list["link_id"] = range(
|
|
542
|
|
|
new_id, new_id + len(gas_pipelines_list)
|
|
543
|
|
|
)
|
|
544
|
|
|
gas_pipelines_list["link_id"] = gas_pipelines_list["link_id"].astype(int)
|
|
545
|
|
|
|
|
546
|
|
|
# Cut data to federal state if in testmode
|
|
547
|
|
|
NUTS1 = []
|
|
548
|
|
|
for index, row in gas_pipelines_list.iterrows():
|
|
549
|
|
|
param = ast.literal_eval(row["param"])
|
|
550
|
|
|
NUTS1.append(param["nuts_id_1"])
|
|
551
|
|
|
gas_pipelines_list["NUTS1"] = NUTS1
|
|
552
|
|
|
|
|
553
|
|
|
map_states = {
|
|
554
|
|
|
"Baden-Württemberg": "DE1",
|
|
555
|
|
|
"Nordrhein-Westfalen": "DEA",
|
|
556
|
|
|
"Hessen": "DE7",
|
|
557
|
|
|
"Brandenburg": "DE4",
|
|
558
|
|
|
"Bremen": "DE5",
|
|
559
|
|
|
"Rheinland-Pfalz": "DEB",
|
|
560
|
|
|
"Sachsen-Anhalt": "DEE",
|
|
561
|
|
|
"Schleswig-Holstein": "DEF",
|
|
562
|
|
|
"Mecklenburg-Vorpommern": "DE8",
|
|
563
|
|
|
"Thüringen": "DEG",
|
|
564
|
|
|
"Niedersachsen": "DE9",
|
|
565
|
|
|
"Sachsen": "DED",
|
|
566
|
|
|
"Hamburg": "DE6",
|
|
567
|
|
|
"Saarland": "DEC",
|
|
568
|
|
|
"Berlin": "DE3",
|
|
569
|
|
|
"Bayern": "DE2",
|
|
570
|
|
|
"Everything": "Nan",
|
|
571
|
|
|
}
|
|
572
|
|
|
gas_pipelines_list["NUTS1_0"] = [x[0] for x in gas_pipelines_list["NUTS1"]]
|
|
573
|
|
|
gas_pipelines_list["NUTS1_1"] = [x[1] for x in gas_pipelines_list["NUTS1"]]
|
|
574
|
|
|
|
|
575
|
|
|
boundary = settings()["egon-data"]["--dataset-boundary"]
|
|
576
|
|
|
|
|
577
|
|
|
if boundary != "Everything":
|
|
578
|
|
|
|
|
579
|
|
|
gas_pipelines_list = gas_pipelines_list[
|
|
580
|
|
|
gas_pipelines_list["NUTS1_0"].str.contains(map_states[boundary])
|
|
581
|
|
|
| gas_pipelines_list["NUTS1_1"].str.contains(map_states[boundary])
|
|
582
|
|
|
]
|
|
583
|
|
|
|
|
584
|
|
|
# Add missing columns
|
|
585
|
|
|
gas_pipelines_list["scn_name"] = scn_name
|
|
586
|
|
|
gas_pipelines_list["carrier"] = main_gas_carrier
|
|
587
|
|
|
gas_pipelines_list["p_nom_extendable"] = False
|
|
588
|
|
|
gas_pipelines_list["p_min_pu"] = -1.0
|
|
589
|
|
|
|
|
590
|
|
|
diameter = []
|
|
591
|
|
|
geom = []
|
|
592
|
|
|
topo = []
|
|
593
|
|
|
length_km = []
|
|
594
|
|
|
|
|
595
|
|
|
for index, row in gas_pipelines_list.iterrows():
|
|
596
|
|
|
|
|
597
|
|
|
param = ast.literal_eval(row["param"])
|
|
598
|
|
|
diameter.append(param["diameter_mm"])
|
|
599
|
|
|
length_km.append(param["length_km"])
|
|
600
|
|
|
|
|
601
|
|
|
long_e = json.loads(row["long"])
|
|
602
|
|
|
lat_e = json.loads(row["lat"])
|
|
603
|
|
|
crd_e = list(zip(long_e, lat_e))
|
|
604
|
|
|
topo.append(geometry.LineString(crd_e))
|
|
605
|
|
|
|
|
606
|
|
|
long_path = param["path_long"]
|
|
607
|
|
|
lat_path = param["path_lat"]
|
|
608
|
|
|
crd = list(zip(long_path, lat_path))
|
|
609
|
|
|
crd.insert(0, crd_e[0])
|
|
610
|
|
|
crd.append(crd_e[1])
|
|
611
|
|
|
lines = []
|
|
612
|
|
|
for i in range(len(crd) - 1):
|
|
613
|
|
|
lines.append(geometry.LineString([crd[i], crd[i + 1]]))
|
|
614
|
|
|
geom.append(geometry.MultiLineString(lines))
|
|
615
|
|
|
|
|
616
|
|
|
gas_pipelines_list["diameter"] = diameter
|
|
617
|
|
|
gas_pipelines_list["geom"] = geom
|
|
618
|
|
|
gas_pipelines_list["topo"] = topo
|
|
619
|
|
|
gas_pipelines_list["length_km"] = length_km
|
|
620
|
|
|
gas_pipelines_list = gas_pipelines_list.set_geometry("geom", crs=4326)
|
|
621
|
|
|
|
|
622
|
|
|
country_0 = []
|
|
623
|
|
|
country_1 = []
|
|
624
|
|
|
for index, row in gas_pipelines_list.iterrows():
|
|
625
|
|
|
c = ast.literal_eval(row["country_code"])
|
|
626
|
|
|
country_0.append(c[0])
|
|
627
|
|
|
country_1.append(c[1])
|
|
628
|
|
|
|
|
629
|
|
|
gas_pipelines_list["country_0"] = country_0
|
|
630
|
|
|
gas_pipelines_list["country_1"] = country_1
|
|
631
|
|
|
|
|
632
|
|
|
# Correct non valid neighbouring country nodes
|
|
633
|
|
|
gas_pipelines_list.loc[
|
|
634
|
|
|
gas_pipelines_list["country_0"] == "XX", "country_0"
|
|
635
|
|
|
] = "NO"
|
|
636
|
|
|
gas_pipelines_list.loc[
|
|
637
|
|
|
gas_pipelines_list["country_1"] == "FI", "country_1"
|
|
638
|
|
|
] = "RU"
|
|
639
|
|
|
gas_pipelines_list.loc[
|
|
640
|
|
|
gas_pipelines_list["id"] == "ST_2612_Seg_0_Seg_0", "country_0"
|
|
641
|
|
|
] = "AT" # bus "INET_N_1182" DE -> AT
|
|
642
|
|
|
gas_pipelines_list.loc[
|
|
643
|
|
|
gas_pipelines_list["id"] == "INET_PL_385_EE_3_Seg_0_Seg_1", "country_1"
|
|
644
|
|
|
] = "AT" # "INET_N_1182" DE -> AT
|
|
645
|
|
|
gas_pipelines_list.loc[
|
|
646
|
|
|
gas_pipelines_list["id"] == "LKD_PS_0_Seg_0_Seg_3", "country_0"
|
|
647
|
|
|
] = "NL" # bus "SEQ_10608_p" DE -> NL
|
|
648
|
|
|
|
|
649
|
|
|
# Remove uncorrect pipelines
|
|
650
|
|
|
gas_pipelines_list = gas_pipelines_list[
|
|
651
|
|
|
(gas_pipelines_list["id"] != "PLNG_2637_Seg_0_Seg_0_Seg_0")
|
|
652
|
|
|
& (gas_pipelines_list["id"] != "NSG_6650_Seg_2_Seg_0")
|
|
653
|
|
|
& (gas_pipelines_list["id"] != "NSG_6734_Seg_2_Seg_0")
|
|
654
|
|
|
]
|
|
655
|
|
|
|
|
656
|
|
|
# Remove link test if length = 0
|
|
657
|
|
|
gas_pipelines_list = gas_pipelines_list[
|
|
658
|
|
|
gas_pipelines_list["length_km"] != 0
|
|
659
|
|
|
]
|
|
660
|
|
|
|
|
661
|
|
|
# Adjust columns
|
|
662
|
|
|
bus0 = []
|
|
663
|
|
|
bus1 = []
|
|
664
|
|
|
geom_adjusted = []
|
|
665
|
|
|
topo_adjusted = []
|
|
666
|
|
|
length_adjusted = []
|
|
667
|
|
|
pipe_class = []
|
|
668
|
|
|
|
|
669
|
|
|
for index, row in gas_pipelines_list.iterrows():
|
|
670
|
|
|
buses = row["node_id"].strip("][").split(", ")
|
|
671
|
|
|
|
|
672
|
|
|
if (
|
|
673
|
|
|
(boundary != "Everything")
|
|
674
|
|
|
& (row["NUTS1_0"] != map_states[boundary])
|
|
675
|
|
|
& (row["country_0"] == "DE")
|
|
676
|
|
|
):
|
|
677
|
|
|
bus0.append(abroad_gas_nodes_list.loc["DE", "bus_id"])
|
|
678
|
|
|
bus1.append(gas_nodes_list.loc[buses[1][1:-1], "bus_id"])
|
|
679
|
|
|
long_e = [
|
|
680
|
|
|
abroad_gas_nodes_list.loc["DE", "x"],
|
|
681
|
|
|
json.loads(row["long"])[1],
|
|
682
|
|
|
]
|
|
683
|
|
|
lat_e = [
|
|
684
|
|
|
abroad_gas_nodes_list.loc["DE", "y"],
|
|
685
|
|
|
json.loads(row["lat"])[1],
|
|
686
|
|
|
]
|
|
687
|
|
|
geom_pipe = geometry.MultiLineString(
|
|
688
|
|
|
[geometry.LineString(list(zip(long_e, lat_e)))]
|
|
689
|
|
|
)
|
|
690
|
|
|
topo_adjusted.append(geometry.LineString(list(zip(long_e, lat_e))))
|
|
691
|
|
|
|
|
692
|
|
|
elif row["country_0"] != "DE":
|
|
693
|
|
|
country = str(row["country_0"])
|
|
694
|
|
|
bus0.append(abroad_gas_nodes_list.loc[country, "bus_id"])
|
|
695
|
|
|
bus1.append(gas_nodes_list.loc[buses[1][1:-1], "bus_id"])
|
|
696
|
|
|
long_e = [
|
|
697
|
|
|
abroad_gas_nodes_list.loc[country, "x"],
|
|
698
|
|
|
json.loads(row["long"])[1],
|
|
699
|
|
|
]
|
|
700
|
|
|
lat_e = [
|
|
701
|
|
|
abroad_gas_nodes_list.loc[country, "y"],
|
|
702
|
|
|
json.loads(row["lat"])[1],
|
|
703
|
|
|
]
|
|
704
|
|
|
geom_pipe = geometry.MultiLineString(
|
|
705
|
|
|
[geometry.LineString(list(zip(long_e, lat_e)))]
|
|
706
|
|
|
)
|
|
707
|
|
|
topo_adjusted.append(geometry.LineString(list(zip(long_e, lat_e))))
|
|
708
|
|
|
|
|
709
|
|
|
elif (
|
|
710
|
|
|
(boundary != "Everything")
|
|
711
|
|
|
& (row["NUTS1_1"] != map_states[boundary])
|
|
712
|
|
|
& (row["country_1"] == "DE")
|
|
713
|
|
|
):
|
|
714
|
|
|
bus0.append(gas_nodes_list.loc[buses[0][1:-1], "bus_id"])
|
|
715
|
|
|
bus1.append(abroad_gas_nodes_list.loc["DE", "bus_id"])
|
|
716
|
|
|
long_e = [
|
|
717
|
|
|
json.loads(row["long"])[0],
|
|
718
|
|
|
abroad_gas_nodes_list.loc["DE", "x"],
|
|
719
|
|
|
]
|
|
720
|
|
|
lat_e = [
|
|
721
|
|
|
json.loads(row["lat"])[0],
|
|
722
|
|
|
abroad_gas_nodes_list.loc["DE", "y"],
|
|
723
|
|
|
]
|
|
724
|
|
|
geom_pipe = geometry.MultiLineString(
|
|
725
|
|
|
[geometry.LineString(list(zip(long_e, lat_e)))]
|
|
726
|
|
|
)
|
|
727
|
|
|
topo_adjusted.append(geometry.LineString(list(zip(long_e, lat_e))))
|
|
728
|
|
|
|
|
729
|
|
|
elif row["country_1"] != "DE":
|
|
730
|
|
|
country = str(row["country_1"])
|
|
731
|
|
|
bus0.append(gas_nodes_list.loc[buses[0][1:-1], "bus_id"])
|
|
732
|
|
|
bus1.append(abroad_gas_nodes_list.loc[country, "bus_id"])
|
|
733
|
|
|
long_e = [
|
|
734
|
|
|
json.loads(row["long"])[0],
|
|
735
|
|
|
abroad_gas_nodes_list.loc[country, "x"],
|
|
736
|
|
|
]
|
|
737
|
|
|
lat_e = [
|
|
738
|
|
|
json.loads(row["lat"])[0],
|
|
739
|
|
|
abroad_gas_nodes_list.loc[country, "y"],
|
|
740
|
|
|
]
|
|
741
|
|
|
geom_pipe = geometry.MultiLineString(
|
|
742
|
|
|
[geometry.LineString(list(zip(long_e, lat_e)))]
|
|
743
|
|
|
)
|
|
744
|
|
|
topo_adjusted.append(geometry.LineString(list(zip(long_e, lat_e))))
|
|
745
|
|
|
|
|
746
|
|
|
else:
|
|
747
|
|
|
bus0.append(gas_nodes_list.loc[buses[0][1:-1], "bus_id"])
|
|
748
|
|
|
bus1.append(gas_nodes_list.loc[buses[1][1:-1], "bus_id"])
|
|
749
|
|
|
geom_pipe = row["geom"]
|
|
750
|
|
|
topo_adjusted.append(row["topo"])
|
|
751
|
|
|
|
|
752
|
|
|
geom_adjusted.append(geom_pipe)
|
|
753
|
|
|
length_adjusted.append(geom_pipe.length)
|
|
754
|
|
|
|
|
755
|
|
|
if row["diameter"] >= 1000:
|
|
756
|
|
|
pipe_class = "A"
|
|
757
|
|
|
elif 700 <= row["diameter"] <= 1000:
|
|
758
|
|
|
pipe_class = "B"
|
|
759
|
|
|
elif 500 <= row["diameter"] <= 700:
|
|
760
|
|
|
pipe_class = "C"
|
|
761
|
|
|
elif 350 <= row["diameter"] <= 500:
|
|
762
|
|
|
pipe_class = "D"
|
|
763
|
|
|
elif 200 <= row["diameter"] <= 350:
|
|
764
|
|
|
pipe_class = "E"
|
|
765
|
|
|
elif 100 <= row["diameter"] <= 200:
|
|
766
|
|
|
pipe_class = "F"
|
|
767
|
|
|
elif row["diameter"] <= 100:
|
|
768
|
|
|
pipe_class = "G"
|
|
769
|
|
|
|
|
770
|
|
|
gas_pipelines_list["bus0"] = bus0
|
|
771
|
|
|
gas_pipelines_list["bus1"] = bus1
|
|
772
|
|
|
gas_pipelines_list["geom"] = geom_adjusted
|
|
773
|
|
|
gas_pipelines_list["topo"] = topo_adjusted
|
|
774
|
|
|
gas_pipelines_list["length"] = length_adjusted
|
|
775
|
|
|
gas_pipelines_list["pipe_class"] = pipe_class
|
|
776
|
|
|
|
|
777
|
|
|
# Remove pipes having the same node for start and end
|
|
778
|
|
|
gas_pipelines_list = gas_pipelines_list[
|
|
779
|
|
|
gas_pipelines_list["bus0"] != gas_pipelines_list["bus1"]
|
|
780
|
|
|
]
|
|
781
|
|
|
|
|
782
|
|
|
gas_pipelines_list = gas_pipelines_list.merge(
|
|
783
|
|
|
classification,
|
|
784
|
|
|
how="left",
|
|
785
|
|
|
left_on="pipe_class",
|
|
786
|
|
|
right_on="classification",
|
|
787
|
|
|
)
|
|
788
|
|
|
gas_pipelines_list["p_nom"] = gas_pipelines_list[
|
|
789
|
|
|
"max_transport_capacity_Gwh/d"
|
|
790
|
|
|
] * (1000 / 24)
|
|
791
|
|
|
|
|
792
|
|
|
# Remove useless columns
|
|
793
|
|
|
gas_pipelines_list = gas_pipelines_list.drop(
|
|
794
|
|
|
columns=[
|
|
795
|
|
|
"id",
|
|
796
|
|
|
"node_id",
|
|
797
|
|
|
"param",
|
|
798
|
|
|
"NUTS1",
|
|
799
|
|
|
"NUTS1_0",
|
|
800
|
|
|
"NUTS1_1",
|
|
801
|
|
|
"country_code",
|
|
802
|
|
|
"diameter",
|
|
803
|
|
|
"pipe_class",
|
|
804
|
|
|
"classification",
|
|
805
|
|
|
"max_transport_capacity_Gwh/d",
|
|
806
|
|
|
"lat",
|
|
807
|
|
|
"long",
|
|
808
|
|
|
"length_km",
|
|
809
|
|
|
]
|
|
810
|
|
|
)
|
|
811
|
|
|
|
|
812
|
|
|
return gas_pipelines_list
|
|
813
|
|
|
|
|
814
|
|
|
|
|
815
|
|
|
def insert_gas_pipeline_list(gas_pipelines_list, scn_name="eGon2035"):
|
|
816
|
|
|
"""
|
|
817
|
|
|
Insert list of gas pipelines in the database
|
|
818
|
|
|
|
|
819
|
|
|
Receive as argument a list of gas pipelines and insert them into the
|
|
820
|
|
|
data base after cleaning it.
|
|
821
|
|
|
|
|
822
|
|
|
Parameters
|
|
823
|
|
|
----------
|
|
824
|
|
|
gas_pipelines_list : pandas.DataFrame
|
|
825
|
|
|
Dataframe containing the gas pipelines in Germany
|
|
826
|
|
|
scn_name : str
|
|
827
|
|
|
Name of the scenario
|
|
828
|
|
|
|
|
829
|
|
|
"""
|
|
830
|
|
|
main_gas_carrier = get_sector_parameters("gas", scenario=scn_name)[
|
|
831
|
|
|
"main_gas_carrier"
|
|
832
|
|
|
]
|
|
833
|
|
|
engine = db.engine()
|
|
834
|
|
|
gas_pipelines_list = gas_pipelines_list.drop(
|
|
835
|
|
|
columns=[
|
|
836
|
|
|
"country_0",
|
|
837
|
|
|
"country_1",
|
|
838
|
|
|
]
|
|
839
|
|
|
)
|
|
840
|
|
|
|
|
841
|
|
|
# Clean db
|
|
842
|
|
|
db.execute_sql(
|
|
843
|
|
|
f"""DELETE FROM grid.egon_etrago_link
|
|
844
|
|
|
WHERE "carrier" = '{main_gas_carrier}'
|
|
845
|
|
|
AND scn_name = '{scn_name}';
|
|
846
|
|
|
"""
|
|
847
|
|
|
)
|
|
848
|
|
|
|
|
849
|
|
|
print(gas_pipelines_list)
|
|
850
|
|
|
# Insert data to db
|
|
851
|
|
|
gas_pipelines_list.to_postgis(
|
|
852
|
|
|
"egon_etrago_gas_link",
|
|
853
|
|
|
engine,
|
|
854
|
|
|
schema="grid",
|
|
855
|
|
|
index=False,
|
|
856
|
|
|
if_exists="replace",
|
|
857
|
|
|
dtype={"geom": Geometry(), "topo": Geometry()},
|
|
858
|
|
|
)
|
|
859
|
|
|
|
|
860
|
|
|
db.execute_sql(
|
|
861
|
|
|
"""
|
|
862
|
|
|
select UpdateGeometrySRID('grid', 'egon_etrago_gas_link', 'topo', 4326) ;
|
|
863
|
|
|
|
|
864
|
|
|
INSERT INTO grid.egon_etrago_link (scn_name,
|
|
865
|
|
|
link_id, carrier,
|
|
866
|
|
|
bus0, bus1, p_min_pu,
|
|
867
|
|
|
p_nom, p_nom_extendable, length,
|
|
868
|
|
|
geom, topo)
|
|
869
|
|
|
SELECT scn_name,
|
|
870
|
|
|
link_id, carrier,
|
|
871
|
|
|
bus0, bus1, p_min_pu,
|
|
872
|
|
|
p_nom, p_nom_extendable, length,
|
|
873
|
|
|
geom, topo
|
|
874
|
|
|
|
|
875
|
|
|
FROM grid.egon_etrago_gas_link;
|
|
876
|
|
|
|
|
877
|
|
|
DROP TABLE grid.egon_etrago_gas_link;
|
|
878
|
|
|
"""
|
|
879
|
|
|
)
|
|
880
|
|
|
|
|
881
|
|
|
|
|
882
|
|
|
def remove_isolated_gas_buses():
|
|
883
|
|
|
"""
|
|
884
|
|
|
Delete CH4 buses which are disconnected of the CH4 grid for the eGon2035 scenario
|
|
885
|
|
|
|
|
886
|
|
|
This function deletes directly in the database and has no return.
|
|
887
|
|
|
|
|
888
|
|
|
"""
|
|
889
|
|
|
targets = config.datasets()["gas_grid"]["targets"]
|
|
890
|
|
|
|
|
891
|
|
|
db.execute_sql(
|
|
892
|
|
|
f"""
|
|
893
|
|
|
DELETE FROM {targets['buses']['schema']}.{targets['buses']['table']}
|
|
894
|
|
|
WHERE "carrier" = 'CH4'
|
|
895
|
|
|
AND scn_name = 'eGon2035'
|
|
896
|
|
|
AND country = 'DE'
|
|
897
|
|
|
AND "bus_id" NOT IN
|
|
898
|
|
|
(SELECT bus0 FROM {targets['links']['schema']}.{targets['links']['table']}
|
|
899
|
|
|
WHERE scn_name = 'eGon2035'
|
|
900
|
|
|
AND carrier = 'CH4')
|
|
901
|
|
|
AND "bus_id" NOT IN
|
|
902
|
|
|
(SELECT bus1 FROM {targets['links']['schema']}.{targets['links']['table']}
|
|
903
|
|
|
WHERE scn_name = 'eGon2035'
|
|
904
|
|
|
AND carrier = 'CH4');
|
|
905
|
|
|
"""
|
|
906
|
|
|
)
|
|
907
|
|
|
|
|
908
|
|
|
|
|
909
|
|
|
def insert_gas_data():
|
|
910
|
|
|
"""
|
|
911
|
|
|
Overall function for importing methane data for eGon2035
|
|
912
|
|
|
|
|
913
|
|
|
This function import the methane data (buses and pipelines) for
|
|
914
|
|
|
eGon2035, by executing the following steps:
|
|
915
|
|
|
* Download the SciGRID_gas datasets with the function :py:func:`download_SciGRID_gas_data`
|
|
916
|
|
|
* Define CH4 buses with the function :py:func:`define_gas_nodes_list`
|
|
917
|
|
|
* Insert the CH4 buses in Germany into the database with the
|
|
918
|
|
|
function :py:func:`insert_CH4_nodes_list`
|
|
919
|
|
|
* Insert the CH4 buses abroad into the database with the function
|
|
920
|
|
|
:py:func:`insert_gas_buses_abroad`
|
|
921
|
|
|
* Insert the CH4 links representing the CH4 pipeline into the
|
|
922
|
|
|
database with the function :py:func:`insert_gas_pipeline_list`
|
|
923
|
|
|
* Remove the isolated CH4 buses directly from the database using
|
|
924
|
|
|
the function :py:func:`remove_isolated_gas_buses`
|
|
925
|
|
|
|
|
926
|
|
|
This function inserts data into the database and has no return.
|
|
927
|
|
|
|
|
928
|
|
|
"""
|
|
929
|
|
|
download_SciGRID_gas_data()
|
|
930
|
|
|
|
|
931
|
|
|
gas_nodes_list = define_gas_nodes_list()
|
|
932
|
|
|
|
|
933
|
|
|
insert_CH4_nodes_list(gas_nodes_list)
|
|
934
|
|
|
abroad_gas_nodes_list = insert_gas_buses_abroad()
|
|
935
|
|
|
|
|
936
|
|
|
gas_pipeline_list = define_gas_pipeline_list(
|
|
937
|
|
|
gas_nodes_list, abroad_gas_nodes_list
|
|
938
|
|
|
)
|
|
939
|
|
|
insert_gas_pipeline_list(gas_pipeline_list)
|
|
940
|
|
|
remove_isolated_gas_buses()
|
|
941
|
|
|
|
|
942
|
|
|
|
|
943
|
|
|
def insert_gas_data_eGon100RE():
|
|
944
|
|
|
"""
|
|
945
|
|
|
Overall function for importing methane data for eGon100RE
|
|
946
|
|
|
|
|
947
|
|
|
This function import the methane data (buses and pipelines) for
|
|
948
|
|
|
eGon100RE, by copying the CH4 buses from the eGon2035 scenario using
|
|
949
|
|
|
the function :py:func:`copy_and_modify_buses <egon.data.datasets.etrago_helpers.copy_and_modify_buses>`
|
|
950
|
|
|
from the module :py:mod:`etrago_helpers <egon.data.datasets.etrago_helpers>`. The methane
|
|
951
|
|
|
pipelines are also copied and their capacities are adapted: one
|
|
952
|
|
|
share of the methane grid is retroffited into an hydrogen grid, so
|
|
953
|
|
|
the methane pieplines nominal capacities are reduced from this share
|
|
954
|
|
|
(calculated in the pyspa-eur-sec run).
|
|
955
|
|
|
|
|
956
|
|
|
This function inserts data into the database and has no return.
|
|
957
|
|
|
|
|
958
|
|
|
"""
|
|
959
|
|
|
# copy buses
|
|
960
|
|
|
copy_and_modify_buses("eGon2035", "eGon100RE", {"carrier": ["CH4"]})
|
|
961
|
|
|
|
|
962
|
|
|
# get CH4 pipelines and modify their nominal capacity with the
|
|
963
|
|
|
# retrofitting factor
|
|
964
|
|
|
gdf = db.select_geodataframe(
|
|
965
|
|
|
f"""
|
|
966
|
|
|
SELECT * FROM grid.egon_etrago_link
|
|
967
|
|
|
WHERE carrier = 'CH4' AND scn_name = 'eGon2035' AND
|
|
968
|
|
|
bus0 IN (
|
|
969
|
|
|
SELECT bus_id FROM grid.egon_etrago_bus
|
|
970
|
|
|
WHERE scn_name = 'eGon2035' AND country = 'DE'
|
|
971
|
|
|
) AND bus1 IN (
|
|
972
|
|
|
SELECT bus_id FROM grid.egon_etrago_bus
|
|
973
|
|
|
WHERE scn_name = 'eGon2035' AND country = 'DE'
|
|
974
|
|
|
);
|
|
975
|
|
|
""",
|
|
976
|
|
|
epsg=4326,
|
|
977
|
|
|
geom_col="topo",
|
|
978
|
|
|
)
|
|
979
|
|
|
|
|
980
|
|
|
# Update scenario specific information
|
|
981
|
|
|
scn_name = "eGon100RE"
|
|
982
|
|
|
gdf["scn_name"] = scn_name
|
|
983
|
|
|
scn_params = get_sector_parameters("gas", scn_name)
|
|
984
|
|
|
|
|
985
|
|
|
for param in ["capital_cost", "marginal_cost", "efficiency"]:
|
|
986
|
|
|
try:
|
|
987
|
|
|
gdf.loc[:, param] = scn_params[param]["CH4"]
|
|
988
|
|
|
except KeyError:
|
|
989
|
|
|
pass
|
|
990
|
|
|
|
|
991
|
|
|
# remaining CH4 share is 1 - retroffited pipeline share
|
|
992
|
|
|
gdf["p_nom"] *= (
|
|
993
|
|
|
1 - scn_params["retrofitted_CH4pipeline-to-H2pipeline_share"]
|
|
994
|
|
|
)
|
|
995
|
|
|
|
|
996
|
|
|
# delete old entries
|
|
997
|
|
|
db.execute_sql(
|
|
998
|
|
|
f"""
|
|
999
|
|
|
DELETE FROM grid.egon_etrago_link
|
|
1000
|
|
|
WHERE carrier = 'CH4' AND scn_name = '{scn_name}' AND
|
|
1001
|
|
|
bus0 NOT IN (
|
|
1002
|
|
|
SELECT bus_id FROM grid.egon_etrago_bus
|
|
1003
|
|
|
WHERE scn_name = '{scn_name}' AND country != 'DE'
|
|
1004
|
|
|
) AND bus1 NOT IN (
|
|
1005
|
|
|
SELECT bus_id FROM grid.egon_etrago_bus
|
|
1006
|
|
|
WHERE scn_name = '{scn_name}' AND country != 'DE'
|
|
1007
|
|
|
);
|
|
1008
|
|
|
"""
|
|
1009
|
|
|
)
|
|
1010
|
|
|
|
|
1011
|
|
|
gdf.to_postgis(
|
|
1012
|
|
|
"egon_etrago_link",
|
|
1013
|
|
|
schema="grid",
|
|
1014
|
|
|
if_exists="append",
|
|
1015
|
|
|
con=db.engine(),
|
|
1016
|
|
|
index=False,
|
|
1017
|
|
|
dtype={"geom": Geometry(), "topo": Geometry()},
|
|
1018
|
|
|
)
|
|
1019
|
|
|
|
openego /
eGon-data
