def test_apply_mvs(self, margs):
""" """
main.apply_pvcompare(
storeys=self.storeys,
country=self.country,
latitude=self.latitude,
longitude=self.longitude,
year=self.year,
static_inputs_directory=self.static_inputs_directory,
user_inputs_pvcompare_directory=self.user_inputs_pvcompare_directory,
user_inputs_mvs_directory=self.user_inputs_mvs_directory,
collections_mvs_inputs_directory=self.user_inputs_collection_mvs,
plot=False,
pv_setup=None,
overwrite_grid_parameters=True,
overwrite_pv_parameters=True,
)
main.apply_mvs(
scenario_name=self.scenario_name,
outputs_directory=self.outputs_directory,
user_inputs_mvs_directory=self.user_inputs_mvs_directory,
)
assert os.path.isdir(os.path.join(self.outputs_directory, self.scenario_name))
def test_apply_pvcompare(self):
main.apply_pvcompare(
storeys=self.storeys,
country=self.country,
latitude=self.latitude,
longitude=self.longitude,
year=self.year,
static_inputs_directory=self.static_inputs_directory,
user_inputs_pvcompare_directory=self.user_inputs_pvcompare_directory,
user_inputs_mvs_directory=self.user_inputs_mvs_directory,
collections_mvs_inputs_directory=self.user_inputs_collection_mvs,
plot=False,
pv_setup=None,
overwrite_grid_parameters=True,
overwrite_pv_parameters=True,
)
assert os.path.isfile(
os.path.join(
self.user_inputs_mvs_directory,
"time_series",
"si_180_38_2017_52.52437_13.41053.csv",
)
)
def test_implementations_tes(self, margs):
"""
This test checks if the results of two different ways of implementing a stratified
thermal storage match.
You can include a stratified thermal storage in the model using two ways:
1. With storage component with `inflow_direction` and `outflow_direction` to the heat bus
2. With a storage bus, a storage component and `inflow_direction` and `outflow_direction`
as Transformer feeding in and from that bus
Please note that the cost parameters of `inflow_direction` and `outflow_direction` of
the Transformer should be set to zero, since they cannot be assigned to a real plant
component with cost parameters
Parameters
----------
margs
"""
# Simulation of first way of implementation
main.apply_pvcompare(
storeys=self.storeys,
country=self.country,
latitude=self.lat,
longitude=self.lon,
year=self.year,
static_inputs_directory=self.static_inputs_directory,
user_inputs_pvcompare_directory=self.user_inputs_pvcompare_directory,
user_inputs_mvs_directory=self.user_inputs_mvs_directory,
plot=False,
pv_setup=self.pv_setup,
overwrite_grid_parameters=True,
overwrite_pv_parameters=True,
)
# RUN MVS OEMOF SIMULATTION
main.apply_mvs(
scenario_name=self.scenario_name,
outputs_directory=self.outputs_directory,
user_inputs_mvs_directory=self.user_inputs_mvs_directory,
)
# Read results of simulation with first way of implementation
results_storage_heat_bus = pd.read_excel(
os.path.join(
self.outputs_directory,
self.scenario_name,
"mvs_outputs",
"timeseries_all_busses.xlsx",
),
sheet_name="Heat bus",
)
# Revert changes made in storage_xx.csv file
self.storage_xx_original.to_csv(
os.path.join(self.mvs_csv_inputs_path, "storage_TES.csv"), na_rep="NaN"
)
# Calculated files in time_series directory need to be deleted to ensure
# the next simulation is run completely
time_series_directory = os.path.join(
self.user_inputs_mvs_directory, "time_series"
)
time_series = os.listdir(time_series_directory)
for file_name in time_series:
if file_name != "file_exists.csv":
os.remove(os.path.join(time_series_directory, file_name))
# Modify mvs csv input data as a preparation for the simulation of
# the second way of implementation (see below)
# Add "TES bus" to busses
energy_busses = self.energy_busses_original.copy()
energy_busses["TES bus"] = "Heat"
energy_busses.to_csv(
os.path.join(self.mvs_csv_inputs_path, "energyBusses.csv"), na_rep="NaN"
)
# Add TES input and output converter to transformers
energy_conversion = self.energy_conversion_original.copy()
energy_conversion["TES converter in"] = [
"kW",
"True",
"None",
0,
0,
30,
0,
0,
0,
0,
1,
"Heat bus",
"TES bus",
"Heat",
"transformer",
]
energy_conversion["TES converter out"] = [
"kW",
"True",
"None",
0,
0,
30,
0,
0,
0,
0,
1,
"TES bus",
"Heat bus",
"Heat",
"transformer",
]
energy_conversion.to_csv(
os.path.join(self.mvs_csv_inputs_path, "energyConversion.csv"), na_rep="NaN"
)
# Adapt inflow and outflow direction of storage to "TES bus"
energy_storage = self.energy_storage_original.copy()
energy_storage.at["inflow_direction", "storage_TES"] = "TES bus"
energy_storage.at["outflow_direction", "storage_TES"] = "TES bus"
energy_storage.to_csv(
os.path.join(self.mvs_csv_inputs_path, "energyStorage.csv"), na_rep="NaN"
)
# Simulation of second way of implementation
main.apply_pvcompare(
storeys=self.storeys,
country=self.country,
latitude=self.lat,
longitude=self.lon,
year=self.year,
static_inputs_directory=self.static_inputs_directory,
user_inputs_pvcompare_directory=self.user_inputs_pvcompare_directory,
user_inputs_mvs_directory=self.user_inputs_mvs_directory,
plot=False,
pv_setup=self.pv_setup,
overwrite_grid_parameters=True,
overwrite_pv_parameters=True,
)
# RUN MVS OEMOF SIMULATTION
main.apply_mvs(
scenario_name=self.scenario_name_with_TES_bus,
outputs_directory=self.outputs_directory,
user_inputs_mvs_directory=self.user_inputs_mvs_directory,
)
# Read results of simulation with second way of implementation
results_storage_tes_bus = pd.read_excel(
os.path.join(
self.outputs_directory,
self.scenario_name_with_TES_bus,
"mvs_outputs",
"timeseries_all_busses.xlsx",
),
sheet_name="Heat bus",
)
# Assert that results of both implementations match
assert (
results_storage_heat_bus["TES input power"].values.all()
== results_storage_tes_bus["TES converter in"].values.all()
)
assert (
results_storage_heat_bus["TES output power"].values.all()
== results_storage_tes_bus["TES converter out"].values.all()
)
# Revert changes made in mvs csv input files
self.storage_xx_original.to_csv(
os.path.join(self.mvs_csv_inputs_path, "storage_TES.csv"), na_rep="NaN"
)
self.energy_busses_original.to_csv(
os.path.join(self.mvs_csv_inputs_path, "energyBusses.csv"), na_rep="NaN"
)
self.energy_conversion_original.to_csv(
os.path.join(self.mvs_csv_inputs_path, "energyConversion.csv"), na_rep="NaN"
)
self.energy_storage_original.to_csv(
os.path.join(self.mvs_csv_inputs_path, "energyStorage.csv"), na_rep="NaN"
)
self.energy_production_original = pd.read_csv(
os.path.join(self.mvs_csv_inputs_path, "energyProduction.csv"),
header=0,
index_col=0,
)
scenarios = [self.scenario_name, self.scenario_name_with_TES_bus]
for scenario in scenarios:
outputs_directory = os.path.join(self.outputs_directory, scenario)
if os.path.exists(outputs_directory):
shutil.rmtree(outputs_directory)
def test_raiseError_temperature_match_hp(self, margs):
"""
These tests check whether a ValueError is raised if there are no further heat providers
and the heat pump's high temperature is lower than the TES's high temperature
A further test checks whether there is no ValueError raised, in case TES's high temperature
is lower but a further heat provider (eg. gas plant) exist
"""
energy_providers = self.energy_providers_original.copy()
energy_providers.pop("Gas plant 01")
energy_providers.to_csv(
os.path.join(self.mvs_csv_inputs_path, "energyProviders.csv"), na_rep="NaN"
)
strat_tes_file_path = os.path.join(
TEST_USER_INPUTS_PVCOMPARE, "stratified_thermal_storage.csv"
)
strat_tes_original = pd.read_csv(strat_tes_file_path, header=0, index_col=0,)
strat_tes = strat_tes_original.copy()
strat_tes.at["temp_h", "var_value"] = 90
strat_tes.to_csv(strat_tes_file_path, na_rep="NaN")
with pytest.raises(ValueError):
main.apply_pvcompare(
storeys=self.storeys,
country=self.country,
latitude=self.lat,
longitude=self.lon,
year=self.year,
static_inputs_directory=self.static_inputs_directory,
user_inputs_pvcompare_directory=self.user_inputs_pvcompare_directory,
user_inputs_mvs_directory=self.user_inputs_mvs_directory,
plot=False,
pv_setup=self.pv_setup,
overwrite_grid_parameters=True,
overwrite_pv_parameters=True,
)
# Add gas provider
energy_providers = self.energy_providers_original.copy()
providers_index = energy_providers.index
gas_plant = [
"kW",
"True",
0.5,
0,
0,
1,
0,
"Gas bus",
"Gas bus",
"Heat",
"source",
0.2,
]
gas_provider = pd.DataFrame(data={"": providers_index, "Gas plant": gas_plant})
gas_provider = gas_provider.set_index(providers_index)
energy_providers = energy_providers.join(gas_provider, on=providers_index)
energy_providers.to_csv(
os.path.join(self.mvs_csv_inputs_path, "energyProviders.csv"), na_rep="NaN"
)
# Add gas converters
energy_converters = self.energy_conversion_original.copy()
converters_index = energy_converters.index
gas_heating = [
"kW",
True,
None,
0,
0,
25,
0,
320,
20.9,
0,
0.97,
"Gas bus",
"Heat bus",
"Heat",
"transformer",
]
gas_converter = pd.DataFrame(
data={"": converters_index, "Gas heating": gas_heating}
)
gas_converter = gas_converter.set_index(converters_index)
energy_converters = energy_converters.join(gas_converter, on=converters_index)
energy_converters.to_csv(
os.path.join(self.mvs_csv_inputs_path, "energyConversion.csv"), na_rep="NaN"
)
try:
main.apply_pvcompare(
storeys=self.storeys,
country=self.country,
latitude=self.lat,
longitude=self.lon,
year=self.year,
static_inputs_directory=self.static_inputs_directory,
user_inputs_pvcompare_directory=self.user_inputs_pvcompare_directory,
user_inputs_mvs_directory=self.user_inputs_mvs_directory,
plot=False,
pv_setup=self.pv_setup,
overwrite_grid_parameters=True,
overwrite_pv_parameters=True,
)
result = 0
except ValueError or AttributeError:
result = 1
assert result == 0
# Revert changes made in mvs and pvcompare csv input files
strat_tes_original.to_csv(strat_tes_file_path, na_rep="NaN")
self.storage_xx_original.to_csv(
os.path.join(self.mvs_csv_inputs_path, "storage_TES.csv"), na_rep="NaN"
)
self.energy_busses_original.to_csv(
os.path.join(self.mvs_csv_inputs_path, "energyBusses.csv"), na_rep="NaN"
)
self.energy_conversion_original.to_csv(
os.path.join(self.mvs_csv_inputs_path, "energyConversion.csv"), na_rep="NaN"
)
self.energy_storage_original.to_csv(
os.path.join(self.mvs_csv_inputs_path, "energyStorage.csv"), na_rep="NaN"
)
self.energy_providers_original.to_csv(
os.path.join(self.mvs_csv_inputs_path, "energyProviders.csv"), na_rep="NaN"
)
time_series_path = os.path.join(self.user_inputs_mvs_directory, "time_series")
time_series_files = os.listdir(time_series_path)
for file in time_series_files:
if os.path.exists(time_series_path):
if file != "file_exists.csv":
os.remove(os.path.join(time_series_path, file))
user_inputs_mvs_directory = constants.EXAMPLE_USER_INPUTS_MVS_ELECTRICITY
pv_setup = None
outputs_directory = constants.EXAMPLE_OUTPUTS_DIRECTORY
# RUN PVCOMPARE PRE-CALCULATIONS:
# - calculate PV timeseries
# - if sectorcoupling: calculate heat pump generation
# - calculate electricity and heat demand
main.apply_pvcompare(
storeys=storeys,
country=country,
latitude=latitude,
longitude=longitude,
year=year,
static_inputs_directory=static_inputs_directory,
user_inputs_pvcompare_directory=user_inputs_pvcompare_directory,
user_inputs_mvs_directory=user_inputs_mvs_directory,
plot=False,
pv_setup=pv_setup,
overwrite_grid_parameters=True,
overwrite_pv_parameters=True,
)
# RUN MVS OEMOF SIMULATTION
main.apply_mvs(
scenario_name=scenario_name,
outputs_directory=outputs_directory,
user_inputs_mvs_directory=user_inputs_mvs_directory,
)
def loop_mvs(
latitude,
longitude,
years,
storeys,
country,
variable_name,
variable_column,
csv_file_variable,
start,
stop,
step,
scenario_name,
user_inputs_mvs_directory=None,
outputs_directory=None,
):
"""
Starts multiple MVS simulations with a range of values for a specific parameter.
This function applies :py:func:`~.main.apply_pvcompare`, one time. After that
:py:func:`~.main.apply_mvs` is executed in a loop.
Before each loop a specific variable value is changed. The
results, stored in two excel sheets, are copied into `loop_output_directory`.
Parameters
----------
latitude: float
latitude of the location
longitude: foat
longitude of the location
years: list
year(s) for simulation
storeys:int
number of storeys
country: str
country of location
variable_name: str
name of the variable that is atapted in each loop
variable_column: str
name of the variable column in the csv file
csv_file_variable: str
name of the csv file the variable is saved in
start: int
first value of the variable
stop: int
last value of the variable. notice that stop > start
step: int
step of increase
scenario_name: str
Name of the Scenario. The name should follow the scheme:
"Scenario_A1", "Scenario_A2", "Scenario_B1" etc.
user_inputs_mvs_directory: str or None
Default: `user_inputs_mvs_directory = constants.DEFAULT_USER_INPUTS_MVS_DIRECTORY`
outputs_directory: str or None
Path to output directory.
Default: `outputs_directory = constants.DEFAULT_OUTPUTS_DIRECTORY`
Returns
-------
"""
if outputs_directory is None:
outputs_directory = constants.DEFAULT_OUTPUTS_DIRECTORY
loop_output_directory = create_loop_output_structure(
outputs_directory, scenario_name, variable_name
)
# define filename of variable that should be looped over
if user_inputs_mvs_directory is None:
user_inputs_mvs_directory = constants.DEFAULT_USER_INPUTS_MVS_DIRECTORY
csv_filename = os.path.join(
user_inputs_mvs_directory, "csv_elements", csv_file_variable
)
# loop over years
for year in years:
# apply pvcompare
main.apply_pvcompare(
latitude=latitude,
longitude=longitude,
year=year,
storeys=storeys,
country=country,
user_inputs_mvs_directory=user_inputs_mvs_directory,
)
# loop over the variable
i = start
while i <= stop:
# change variable value and save this value to csv
csv_file = pd.read_csv(csv_filename, index_col=0)
csv_file.loc[[variable_name], [variable_column]] = i
csv_file.to_csv(csv_filename)
# define mvs_output_directory for every looping step
mvs_output_directory = os.path.join(
outputs_directory,
scenario_name,
"mvs_outputs_loop_"
+ str(variable_name)
+ "_"
+ str(year)
+ "_"
+ str(i),
)
# apply mvs for every looping step
main.apply_mvs(
scenario_name=scenario_name,
mvs_output_directory=mvs_output_directory,
user_inputs_mvs_directory=user_inputs_mvs_directory,
outputs_directory=outputs_directory,
)
# copy excel sheets to loop_output_directory
number_digits = len(str(stop)) - len(str(i))
if number_digits == 0:
j = str(i)
elif number_digits == 1:
j = "0" + str(i)
elif number_digits == 2:
j = "00" + str(i)
elif number_digits == 3:
j = "000" + str(i)
elif number_digits == 4:
j = "0000" + str(i)
excel_file1 = "scalars.xlsx"
new_excel_file1 = "scalars_" + str(year) + "_" + str(j) + ".xlsx"
src_dir = os.path.join(mvs_output_directory, excel_file1)
dst_dir = os.path.join(loop_output_directory, "scalars", new_excel_file1)
shutil.copy(src_dir, dst_dir)
excel_file2 = "timeseries_all_busses.xlsx"
new_excel_file2 = (
"timeseries_all_busses_" + str(year) + "_" + str(j) + ".xlsx"
)
src_dir = os.path.join(mvs_output_directory, excel_file2)
dst_dir = os.path.join(loop_output_directory, "timeseries", new_excel_file2)
shutil.copy(src_dir, dst_dir)
# add another step
i = i + step
logging.info("starting postprocessing KPI")
postprocessing_kpi(
scenario_name=scenario_name,
variable_name=variable_name,
outputs_directory=outputs_directory,
)
def single_loop_pvcompare(
scenario_name,
storeys,
country,
latitude,
longitude,
year,
user_inputs_pvcompare_directory,
user_inputs_mvs_directory,
outputs_directory,
plot,
pv_setup,
loop_output_directory,
loop_type,
step,
):
"""
Parameters
----------
scenario_name: str
name of the scenario.
storeys: int
number of storeys
country: str
country name
latitude: float
latitude of the location
longitude: foat
longitude of the location
year: int
year
user_inputs_pvcompare_directory: str or None
If None, `constants.DEFAULT_USER_INPUTS_PVCOMPARE_DIRECTORY` is used
as user_input_directory. Default: None.
user_inputs_mvs_directory: str or None
Default: `user_inputs_mvs_directory = constants.DEFAULT_USER_INPUTS_MVS_DIRECTORY`
outputs_directory: str or None
Path to output directory.
Default: `outputs_directory = constants.DEFAULT_OUTPUTS_DIRECTORY`
plot: bool
default: False
loop_output_directory: str
output directory defined in 'pvcompare.outputs.create_loop_output_structure()'.
loop_type: str
possible values: 'location', 'year', 'storeys', 'technology', 'hp_temp'.
Defines the variable or variables that are changed with each loop.
step: str or int
Gradation of the loop variable.
Returns
-------
None
"""
main.apply_pvcompare(
storeys=storeys,
country=country,
latitude=latitude,
longitude=longitude,
year=year,
user_inputs_pvcompare_directory=user_inputs_pvcompare_directory,
user_inputs_mvs_directory=user_inputs_mvs_directory,
plot=plot,
pv_setup=pv_setup,
)
# define mvs_output_directory for every looping step
mvs_output_directory = os.path.join(
outputs_directory,
scenario_name,
"mvs_outputs_loop_" + str(loop_type) + "_" + str(year) + "_" + str(step),
)
main.apply_mvs(
scenario_name,
user_inputs_mvs_directory=user_inputs_mvs_directory,
mvs_output_directory=mvs_output_directory,
outputs_directory=outputs_directory,
)
excel_file1 = "scalars.xlsx"
new_excel_file1 = "scalars_" + str(year) + "_" + str(step) + ".xlsx"
src_dir = os.path.join(mvs_output_directory, excel_file1)
dst_dir = os.path.join(loop_output_directory, "scalars", new_excel_file1)
shutil.copy(src_dir, dst_dir)
excel_file2 = "timeseries_all_busses.xlsx"
new_excel_file2 = (
"timeseries_all_busses_" + "_" + str(year) + "_" + str(step) + ".xlsx"
)
src_dir = os.path.join(mvs_output_directory, excel_file2)
dst_dir = os.path.join(loop_output_directory, "timeseries", new_excel_file2)
shutil.copy(src_dir, dst_dir)
