def test_model_scenario(self):
ip = os.path.join(self.base_path, "deflex", "2013",
"deflex_2013_de02.xls")
my_es = solph.EnergySystem(timeindex=self.date_time_index)
main.model_scenario(xls_file=ip,
name="test_02",
rmap="de",
year=2025,
es=my_es)
assert os.path.isfile(
os.path.join(self.base_path, "deflex", "2013", "results_cbc",
"test_02.esys"))
# NOTE: Large models will need up to 24 GB of RAM, so start with small models
# and increase the size step by step. You can also use large models with less
# time steps but you have to adapt the annual limits.
# Now choose one example. We will start with a small one:
file = "deflex_2014_de02_no-heat_csv"
fn = os.path.join(path, file)
# *** Long version ***
# Create a scenario object
sc = scenario.DeflexScenario()
# Read the input data. Use the right method (csv/xlsx) for your file type.
sc.read_csv(fn)
# sc.read_xlsx(fn)
# Create the LP model and solve it.
sc.compute()
# Dump the results to a sub-dir named "results_cbc".
dump_file = file.replace("_csv", ".dflx")
# dump_file = file.replace(".xlsx")
dump_path = os.path.join(path, "results_cbc", dump_file)
sc.dump(dump_path)
# *** short version ***
main.model_scenario(fn, file_type="csv")
from deflex import basic_scenario, main, scenario_tools
from oemof.tools import logger
import pandas as pd
from my_reegis import results, upstream_analysis, reegis_plot
from matplotlib import pyplot as plt
import numpy as np
import logging
logger.define_logging(logfile='oemof.log',
screen_level=logging.INFO,
file_level=logging.DEBUG)
# Rechne NEP 1-Knoten-Szenario
#main.model_scenario('/home/dbeier/reegis/scenarios/deflex/2014/deflex_2014_de02_NEP.xls', name="NEP2030", rmap="de02", year=2014)
main.model_scenario('/home/dbeier/reegis/scenarios/deflex/2014/deflex_2014_de02.xls')
#main.model_scenario('/home/dbeier/reegis/scenarios/deflex/2014/deflex_2014_de21_no-heat_no-reg-merit.xls')
#scenario_tools.DeflexScenario()
path= '/home/dbeier/reegis/scenarios/deflex/2014/results_cbc/NEP2030.esys'
de02_NEP = results.load_es(path)
results_obj = de02_NEP.results['main']
# Auswertung
cost_em = upstream_analysis.get_emissions_and_costs(de02_NEP,with_chp=True)
vlh = results.fullloadhours(de02_NEP)
mrbb = results.get_multiregion_bus_balance(de02_NEP)
# Extrahiere relevante Größen
demand = mrbb.DE01['out']['demand']['electricity']['all']
def test_duplicate_input():
msg = "It is not allowed to define more than one input."
with assert_raises_regexp(ValueError, msg):
main.model_scenario(xls_file="something", csv_path="something")