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Bla Bla
2024-02-18 21:28:02 +01:00
parent 427570ccb2
commit 6c82692787
5 changed files with 85 additions and 19 deletions
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27
test.py
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@@ -6,6 +6,7 @@ from modules.class_ems import *
from modules.class_pv_forecast import *
from modules.class_akku import *
from modules.class_strompreis import *
from modules.class_heatpump import *
from pprint import pprint
import matplotlib.pyplot as plt
from modules.visualize import *
@@ -19,27 +20,21 @@ akku_size = 1000 # Wh
year_energy = 2000*1000 #Wh
einspeiseverguetung_cent_pro_wh = np.full(24, 7/1000.0)
max_heizleistung = 5000 # 5 kW Heizleistung
wp = Waermepumpe(max_heizleistung)
akku = PVAkku(akku_size)
discharge_array = np.full(24,1)
# discharge_array[12] = 0
# discharge_array[13] = 0
# discharge_array[14] = 0
# discharge_array[15] = 0
# discharge_array[16] = 0
# discharge_array[17] = 0
# discharge_array[18] = 1
# akku.set_discharge_per_hour(discharge_array)
# Load Forecast
lf = LoadForecast(filepath=r'load_profiles.npz', year_energy=year_energy)
specific_date_load = lf.get_daily_stats(date)[0,...] # Datum anpassen
pprint(specific_date_load.shape)
leistung_haushalt = lf.get_daily_stats(date)[0,...] # Datum anpassen
pprint(leistung_haushalt.shape)
# PV Forecast
PVforecast = PVForecast(r'.\test_data\pvprognose.json')
pv_forecast = PVforecast.get_forecast_for_date(date)
temperature_forecast = PVforecast.get_temperature_forecast_for_date(date)
pprint(pv_forecast.shape)
# Strompreise
@@ -47,9 +42,15 @@ filepath = r'.\test_data\strompreis.json' # Pfad zur JSON-Datei anpassen
price_forecast = HourlyElectricityPriceForecast(filepath)
specific_date_prices = price_forecast.get_prices_for_date(date)
# WP
leistung_wp = wp.simulate_24h(temperature_forecast)
# pprint(leistung_haushalt)
# pprint(leistung_wp)
# sys.exit()
load = leistung_haushalt + leistung_wp
# EMS / Stromzähler Bilanz
ems = EnergieManagementSystem(akku, specific_date_load, pv_forecast, specific_date_prices, einspeiseverguetung_cent_pro_wh)
ems = EnergieManagementSystem(akku, load, pv_forecast, specific_date_prices, einspeiseverguetung_cent_pro_wh)
o = ems.simuliere()
pprint(o["Gesamtbilanz_Euro"])
@@ -105,7 +106,7 @@ pprint(o["Gesamtbilanz_Euro"])
visualisiere_ergebnisse(specific_date_load, pv_forecast, specific_date_prices, o)
visualisiere_ergebnisse(load,leistung_haushalt,leistung_wp, pv_forecast, specific_date_prices, o)
# for data in forecast.get_forecast_data():