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PV-Simulation funktioniert

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Patrick Hangl
2024-12-12 15:03:10 +01:00
parent 0570f8b515
commit 3ad2e47361
1 changed files with 28 additions and 56 deletions
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pv_input.py
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import pandas as pd
import pvlib import pvlib
import pandas as pd
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
from pvlib.modelchain import ModelChain
from pvlib.location import Location
from pvlib.pvsystem import PVSystem
from pvlib.temperature import TEMPERATURE_MODEL_PARAMETERS
# Standortbedingungen (z.B. München, Deutschland) latitude = 47.2675
latitude = 48.1351 longitude = 11.3910
longitude = 11.5820 tz = 'Europe/Vienna'
tz = 'Europe/Berlin' surface_tilt = 0
surface_azimuth = 180
# Abrufen der Wetter- und Strahlungsdaten für den Standort von PVGIS database_module = pvlib.pvsystem.retrieve_sam('SandiaMod')
weather_data, meta = pvlib.iotools.get_pvgis_tmy(latitude, longitude) database_inverter = pvlib.pvsystem.retrieve_sam('CECInverter')
# Zeitstempel setzen und Zeitzonenkonvertierung module = database_module['Canadian_Solar_CS5P_220M___2009_']
weather_data.index = weather_data.index.tz_localize(tz) inverter = database_inverter['ABB__PVI_4_2_OUTD_US__208V_']
modules_per_string = 10
strings_per_inverter = 2
# PV Modulbedingungen temperature_parameters = TEMPERATURE_MODEL_PARAMETERS['sapm']['open_rack_glass_glass']
module_parameters = {
'pdc0': 240,
'gamma_pdc': -0.004
}
# Wechselrichterbedingungen location = Location(latitude, longitude, tz)
inverter_parameters = { system = PVSystem(surface_tilt=surface_tilt, surface_azimuth=surface_azimuth, module_parameters=module,
'pdc0': 240, inverter_parameters=inverter, temperature_model_parameters=temperature_parameters,
'eta_inv_nom': 0.96 modules_per_string=modules_per_string, strings_per_inverter=strings_per_inverter)
}
# Erstellung des Standort-Objekts modelchain = ModelChain(system, location)
site = pvlib.location.Location(latitude, longitude, tz=tz)
# Solarpositions-Array times = pd.date_range(start='2021-07-01', end ='2021-07-07', freq='1min', tz=location.tz)
solar_position = site.get_solarposition(weather_data.index)
# Erstellen eines PV-Systems clear_sky = location.get_clearsky(times)
system = pvlib.pvsystem.PVSystem( #clear_sky.plot(figsize=(16,9))
surface_tilt=30,
surface_azimuth=180,
module_parameters=module_parameters,
inverter_parameters=inverter_parameters
)
# Berechnen der Einfallswinkelmodifikatoren (AOI) modelchain.run_model(clear_sky)
mc = system.get_aoi(solar_position['apparent_zenith'], solar_position['azimuth']) modelchain.results.ac.plot(figsize=(16,9))
plt.show()
# Berechnen der Strahlungswerte auf der Moduloberfläche
poa_irrad = system.get_irradiance(weather_data['Gb(n)'], weather_data['G(h)'], weather_data['Gd(h)'], mc)
# Modellierung der Zelltemperatur
tcell = pvlib.temperature.sapm_cell(poa_irrad['poa_global'], weather_data['T2m'], weather_data['WS10m'])
# Modellierung der DC-Leistung
dc_power = system.pvwatts_dc(poa_irrad['poa_global'], tcell)
# Modellierung der AC-Leistung
ac_power = system.pvwatts_ac(dc_power)
# Jahresertrag berechnen
annual_energy = ac_power.sum() / 1000 # kWh
print(f"Jährlicher Output: {annual_energy:.2f} kWh")
# Plot der Ergebnisse
ac_power.plot()
plt.ylabel('AC Leistung (W)')
plt.xlabel('Datum')
plt.title('Täglicher Ertrag einer PV-Anlage in kWh')
plt.show()