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# -*- coding: utf-8 -*- |
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""" |
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Created on Mon Aug 17 11:08:15 2015 |
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This is a collection of helper functions which work on there own an can be |
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used by various classes. If there are too many helper-functions, they will |
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be sorted in different modules. |
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All special import should be in try/except loops to avoid import errors. |
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""" |
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import pandas as pd |
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de_en = { |
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'Braunkohle': 'lignite', |
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'Steinkohle': 'hard_coal', |
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'Erdgas': 'natural_gas', |
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'Öl': 'oil', |
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'Solarstrom': 'solar_power', |
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'Windkraft': 'wind_power', |
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'Biomasse': 'biomass', |
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'Wasserkraft': 'hydro_power', |
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'Gas': 'methan', |
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'Mineralölprodukte': 'mineral_oil', |
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'Abfall': 'waste', |
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'Sonstige Energieträger\n(nicht erneuerbar) ': 'waste', |
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'Pumpspeicher': 'pumped_storage', |
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} |
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def translator(x): |
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return de_en[x] |
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def get_all_power_plants(conn, geometry): |
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return pd.concat( |
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[get_bnetza_pps(conn, geometry), get_energymap_pps(conn, geometry)], |
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ignore_index=True, |
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) |
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def get_energymap_pps(conn, geometry1, geometry2=None, tsum=True): |
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# TODO@Günni |
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sql = """ |
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SELECT anlagentyp, anuntertyp, p_nenn_kwp |
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FROM oemof_test.energy_map as ee |
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WHERE st_contains(ST_GeomFromText('{wkt}',4326), ee.geom) |
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""".format( |
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wkt=geometry1.wkt |
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) |
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if geometry2 is None: |
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sql += ';' |
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else: |
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sql += '''AND st_contains(ST_GeomFromText('{wkt}',4326), |
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ee.geom);'''.format( |
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wkt=geometry2.wkt |
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) |
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df_full = pd.DataFrame( |
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conn.execute(sql).fetchall(), columns=['type', 'subtype', 'cap'] |
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) |
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df = pd.DataFrame(columns=['type', 'cap']) |
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if tsum: |
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typelist = df_full.type.unique() |
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for i in range(len(typelist)): |
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cap_sum = df_full[df_full.type == typelist[i]].cap.sum() |
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df.loc[i] = [typelist[i], cap_sum] |
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else: |
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df = df_full |
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df['type'] = df['type'].apply(translator) |
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return df |
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def get_bnetza_pps(conn, geometry): |
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# TODO@Günni |
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sql = """ |
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SELECT auswertung, ersatzbrennstoff, el_nennleistung |
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FROM oemof_test.geo_power_plant_bnetza_2014 as pp |
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WHERE st_contains( |
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ST_GeomFromText('{wkt}',4326), ST_Transform(pp.geom, 4326)) |
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""".format( |
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wkt=geometry.wkt |
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) |
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df = pd.DataFrame( |
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conn.execute(sql).fetchall(), columns=['type', 'subtype', 'cap'] |
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) |
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df['type'] = df['type'].apply(translator) |
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return df |
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oemof /
oemof.db
