From ed56c0a74f0e29f09f6e887ba2258d40dbc57376 Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Tue, 25 May 2021 16:20:41 +0200
Subject: [PATCH 01/37] allow own weather data

---
 pvcompare/main.py | 30 ++++++++++++++++++++----------
 1 file changed, 20 insertions(+), 10 deletions(-)

diff --git a/pvcompare/main.py b/pvcompare/main.py
index 931700a9..35c550e0 100644
--- a/pvcompare/main.py
+++ b/pvcompare/main.py
@@ -36,6 +36,7 @@ def apply_pvcompare(
     overwrite_grid_parameters=True,
     overwrite_pv_parameters=True,
     overwrite_heat_parameters=True,
+    add_weather_file=None
 ):
     """
     Runs the main functionalities of pvcompare.
@@ -92,6 +93,10 @@ def apply_pvcompare(
         overwritten with calculated time series of COP and existing fixed thermal losses
         absolute and relative will be overwritten with calculated time series of fixed thermal
         losses relative and absolute.
+    add_weather_data: str
+        Path to hourly csv weather time series with columns: [time, latitude, longitude
+        ,ghi, wind_speed, temp_air, precipitable_water, dni, dhi]
+        Default: None. If None, the ERA5 data is used instead.
 
     Returns
     -------
@@ -130,16 +135,20 @@ def apply_pvcompare(
             user_inputs_mvs_directory=user_inputs_mvs_directory,
         )
 
-    # check if weather data already exists
-    weather_file = os.path.join(
-        static_inputs_directory, f"weatherdata_{latitude}_{longitude}_{year}.csv"
-    )
-    if os.path.isfile(weather_file):
-        weather = pd.read_csv(weather_file, index_col=0,)
+    if add_weather_file is not None:
+        weather = pd.read_csv(add_weather_file, index_col=0,)
     else:
-        # if era5 import works this line can be used
-        weather = era5.load_era5_weatherdata(lat=latitude, lon=longitude, year=year)
-        weather.to_csv(weather_file)
+        # check if weather data already exists
+        weather_file = os.path.join(
+            static_inputs_directory, f"weatherdata_{latitude}_{longitude}_{year}.csv"
+        )
+        if os.path.isfile(weather_file):
+            weather = pd.read_csv(weather_file, index_col=0,)
+        else:
+            # download ERA5 weather data
+            weather = era5.load_era5_weatherdata(lat=latitude, lon=longitude, year=year)
+            # save to csv
+            weather.to_csv(weather_file)
     # add datetimeindex
     weather.index = pd.to_datetime(weather.index)
 
@@ -276,7 +285,7 @@ def apply_mvs(
     year = 2018
     storeys = 5
     country = "Spain"
-    scenario_name = "Scenario_B2"
+    scenario_name = "Scenario_TEST_weatherdata"
 
     apply_pvcompare(
         latitude=latitude,
@@ -284,6 +293,7 @@ def apply_mvs(
         year=year,
         storeys=storeys,
         country=country,
+        add_weather_file="/home/inia/Dokumente/greco_env/pvcompare/pvcompare/data/static_inputs/own_weatherdata.csv"
     )
 
     # apply_mvs(

From 845bf11f14b6c4888c95970d192c6ce7d6301f41 Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Tue, 25 May 2021 16:58:50 +0200
Subject: [PATCH 02/37] add_weather_file and add_sam_si_module

---
 pvcompare/main.py      |  8 ++++++--
 pvcompare/pv_feedin.py | 18 +++++++++++++-----
 2 files changed, 19 insertions(+), 7 deletions(-)

diff --git a/pvcompare/main.py b/pvcompare/main.py
index 35c550e0..4a72d447 100644
--- a/pvcompare/main.py
+++ b/pvcompare/main.py
@@ -36,7 +36,8 @@ def apply_pvcompare(
     overwrite_grid_parameters=True,
     overwrite_pv_parameters=True,
     overwrite_heat_parameters=True,
-    add_weather_file=None
+    add_weather_file=None,
+    add_sam_si_module={"cecmod":'Canadian_Solar_Inc__CS5P_220M'}
 ):
     """
     Runs the main functionalities of pvcompare.
@@ -97,6 +98,9 @@ def apply_pvcompare(
         Path to hourly csv weather time series with columns: [time, latitude, longitude
         ,ghi, wind_speed, temp_air, precipitable_water, dni, dhi]
         Default: None. If None, the ERA5 data is used instead.
+    add_sam_si_module: dict
+        with library (’CECMod’  or "SandiaMod") as key and module name
+        (e.g. 'Canadian_Solar_Inc__CS5P_220M') as value.
 
     Returns
     -------
@@ -171,6 +175,7 @@ def apply_pvcompare(
         user_inputs_mvs_directory=user_inputs_mvs_directory,
         year=year,
         normalization=True,
+        add_sam_si_module=add_sam_si_module
     )
 
     # add sector coupling in case heat pump or chiller exists in energyConversion.csv
@@ -293,7 +298,6 @@ def apply_mvs(
         year=year,
         storeys=storeys,
         country=country,
-        add_weather_file="/home/inia/Dokumente/greco_env/pvcompare/pvcompare/data/static_inputs/own_weatherdata.csv"
     )
 
     # apply_mvs(
diff --git a/pvcompare/pv_feedin.py b/pvcompare/pv_feedin.py
index 66f6cf1a..c7ea7bea 100644
--- a/pvcompare/pv_feedin.py
+++ b/pvcompare/pv_feedin.py
@@ -52,6 +52,7 @@ def create_pv_components(
     user_inputs_mvs_directory=None,
     psi_type="Chen",
     normalization=True,
+    add_sam_si_module=None
 ):
     """
     Creates feed-in time series for all surface types in `pv_setup` or 'pv_setup.csv'.
@@ -165,6 +166,7 @@ def create_pv_components(
                     surface_azimuth=j,
                     surface_tilt=k,
                     normalization=normalization,
+                    add_sam_si_module=add_sam_si_module
                 )
             elif row["technology"] == "cpv":
                 time_series = create_cpv_time_series(
@@ -294,7 +296,7 @@ def get_optimal_pv_angle(lat):
     return round(lat - 15)
 
 
-def set_up_system(technology, surface_azimuth, surface_tilt):
+def set_up_system(technology, surface_azimuth, surface_tilt, add_sam_si_module=None):
 
     """
     Sets up pvlibPVSystems.
@@ -320,8 +322,14 @@ def set_up_system(technology, surface_azimuth, surface_tilt):
 
     if technology == "si":
 
-        sandia_modules = pvlib.pvsystem.retrieve_sam("cecmod")
-        sandia_module = sandia_modules["Aleo_Solar_S59y280"]
+        if add_sam_si_module is None:
+            library = "cecmod"
+            module = "Aleo_Solar_S59y280"
+        else:
+            library, module = next(iter(add_sam_si_module.items()))
+        sandia_modules = pvlib.pvsystem.retrieve_sam(library)
+        sandia_module = sandia_modules[module]
+        # note that the inverter is not accounted for  in the calculation of PV timeseries
         cec_inverters = pvlib.pvsystem.retrieve_sam("cecinverter")
         cec_inverter = cec_inverters["ABB__MICRO_0_25_I_OUTD_US_208__208V_"]
         system = PVSystem(
@@ -366,7 +374,7 @@ def set_up_system(technology, surface_azimuth, surface_tilt):
 
 
 def create_si_time_series(
-    lat, lon, weather, surface_azimuth, surface_tilt, normalization
+    lat, lon, weather, surface_azimuth, surface_tilt, normalization, add_sam_si_module
 ):
 
     """
@@ -399,7 +407,7 @@ def create_si_time_series(
     """
 
     system, module_parameters = set_up_system(
-        technology="si", surface_azimuth=surface_azimuth, surface_tilt=surface_tilt
+        technology="si", surface_azimuth=surface_azimuth, surface_tilt=surface_tilt, add_sam_si_module=add_sam_si_module
     )
     location = Location(latitude=lat, longitude=lon)
 

From 15baa84ed236ca6a5648a93627626c7b902c7cff Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Tue, 25 May 2021 17:17:10 +0200
Subject: [PATCH 03/37] add_demand_timeseries

---
 pvcompare/demand.py | 88 +++++++++++++++++++++++++++++++++------------
 1 file changed, 65 insertions(+), 23 deletions(-)

diff --git a/pvcompare/demand.py b/pvcompare/demand.py
index ed26f6f5..2d03c552 100644
--- a/pvcompare/demand.py
+++ b/pvcompare/demand.py
@@ -55,6 +55,8 @@ def calculate_load_profiles(
     static_inputs_directory=None,
     user_inputs_pvcompare_directory=None,
     user_inputs_mvs_directory=None,
+    add_electricity_demand=None,
+    add_heat_demand= None
 ):
     """
     Calculates electricity and heat load profiles and saves them to csv.
@@ -81,6 +83,12 @@ def calculate_load_profiles(
         Default: None.
     user_inputs_mvs_directory : str or None
         Path to mvs input directory. If None: DEFAULT_USER_INPUTS_MVS_DIRECTORY. Default: None.
+    add_electricity_demand: str
+        Path to precalculated hourly electricity demand time series for one year (or the same period
+        of a precalculated PV timeseries)
+    add_heat_demand: str
+        Path to precalculated hourly heat demand time series for one year (or the same period
+        of a precalculated PV timeseries)
 
     Returns
     ------
@@ -105,28 +113,62 @@ def calculate_load_profiles(
     for column in energyConsumption:
         if column != "unit":
             if energyConsumption.at["energyVector", column] == "Heat":
-                calculate_heat_demand(
-                    country=country,
-                    lat=lat,
-                    lon=lon,
-                    storeys=storeys,
-                    year=year,
-                    weather=weather,
-                    static_inputs_directory=static_inputs_directory,
-                    user_inputs_pvcompare_directory=user_inputs_pvcompare_directory,
-                    user_inputs_mvs_directory=user_inputs_mvs_directory,
-                    column=column,
-                )
+
+                if add_heat_demand is not None:
+                    #check if file exists
+                    if os.path.isfile(add_heat_demand):
+                        # save the file name of the time series
+                        # mvs_inputs/elements/csv/energyProduction.csv
+                        check_inputs.add_file_name_to_energy_consumption_file(
+                            column=column,
+                            ts_filename=add_heat_demand,
+                            user_inputs_mvs_directory=user_inputs_mvs_directory,
+                        )
+                    else:
+                        logging.warning("The heat demand time series"
+                                        " you have entered does not exist. It is"
+                                        " thus calculated according to the default"
+                                        " method of pvcompare.")
+                else:
+                    calculate_heat_demand(
+                        country=country,
+                        lat=lat,
+                        lon=lon,
+                        storeys=storeys,
+                        year=year,
+                        weather=weather,
+                        static_inputs_directory=static_inputs_directory,
+                        user_inputs_pvcompare_directory=user_inputs_pvcompare_directory,
+                        user_inputs_mvs_directory=user_inputs_mvs_directory,
+                        column=column,
+                    )
             elif energyConsumption.at["energyVector", column] == "Electricity":
-                calculate_power_demand(
-                    country=country,
-                    storeys=storeys,
-                    year=year,
-                    static_inputs_directory=static_inputs_directory,
-                    user_inputs_pvcompare_directory=user_inputs_pvcompare_directory,
-                    user_inputs_mvs_directory=user_inputs_mvs_directory,
-                    column=column,
-                )
+
+                if add_electricity_demand is not None:
+
+                    if os.path.isfile(add_electricity_demand):
+                        # save the file name of the time series
+                        # mvs_inputs/elements/csv/energyProduction.csv
+                        check_inputs.add_file_name_to_energy_consumption_file(
+                            column=column,
+                            ts_filename=add_electricity_demand,
+                            user_inputs_mvs_directory=user_inputs_mvs_directory,
+                        )
+                    else:
+                        logging.warning("The electricity demand time series"
+                                        " you have entered does not exist. It is"
+                                        " thus calculated according to the default"
+                                        " method of pvcompare.")
+                else:
+                    calculate_power_demand(
+                        country=country,
+                        storeys=storeys,
+                        year=year,
+                        static_inputs_directory=static_inputs_directory,
+                        user_inputs_pvcompare_directory=user_inputs_pvcompare_directory,
+                        user_inputs_mvs_directory=user_inputs_mvs_directory,
+                        column=column,
+                    )
             else:
                 logging.warning(
                     "the given energyVector in energyConsumption.csv "
@@ -300,7 +342,7 @@ def calculate_power_demand(
     filename = os.path.join(timeseries_directory, el_demand_csv)
     shifted_elec_demand.to_csv(filename, index=False)
 
-    # save the file name of the time series and the nominal value to
+    # save the file name of the time series
     # mvs_inputs/elements/csv/energyProduction.csv
     check_inputs.add_file_name_to_energy_consumption_file(
         column=column,
@@ -502,7 +544,7 @@ def calculate_heat_demand(
     filename = os.path.join(timeseries_directory, h_demand_csv)
 
     shifted_heat_demand.to_csv(filename, index=False)
-    # save the file name of the time series and the nominal value to
+    # save the file name of the time series
     # mvs_inputs/elements/csv/energyProduction.csv
     check_inputs.add_file_name_to_energy_consumption_file(
         column=column,

From b23e4cf300b3cfc02f615779134fbde266f24425 Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Tue, 25 May 2021 17:17:25 +0200
Subject: [PATCH 04/37] add_demand_timeseries

---
 pvcompare/main.py | 12 +++++++++++-
 1 file changed, 11 insertions(+), 1 deletion(-)

diff --git a/pvcompare/main.py b/pvcompare/main.py
index 4a72d447..55743a5c 100644
--- a/pvcompare/main.py
+++ b/pvcompare/main.py
@@ -37,7 +37,9 @@ def apply_pvcompare(
     overwrite_pv_parameters=True,
     overwrite_heat_parameters=True,
     add_weather_file=None,
-    add_sam_si_module={"cecmod":'Canadian_Solar_Inc__CS5P_220M'}
+    add_sam_si_module={"cecmod":'Canadian_Solar_Inc__CS5P_220M'},
+    add_electricity_demand="/home/inia/Dokumente/greco_env/pvcompare/pvcompare/data/user_inputs/mvs_inputs/time_series/electricity_load_2017_Spain_5_own.csv",
+    add_heat_demand=None,
 ):
     """
     Runs the main functionalities of pvcompare.
@@ -101,6 +103,12 @@ def apply_pvcompare(
     add_sam_si_module: dict
         with library (’CECMod’  or "SandiaMod") as key and module name
         (e.g. 'Canadian_Solar_Inc__CS5P_220M') as value.
+    add_electricity_demand: str
+        Path to precalculated hourly electricity demand time series for one year (or the same period
+        of a precalculated PV timeseries)
+    add_heat_demand: str
+        Path to precalculated hourly heat demand time series for one year (or the same period
+        of a precalculated PV timeseries)
 
     Returns
     -------
@@ -199,6 +207,8 @@ def apply_pvcompare(
         user_inputs_pvcompare_directory=user_inputs_pvcompare_directory,
         user_inputs_mvs_directory=user_inputs_mvs_directory,
         weather=weather,
+        add_electricity_demand= add_electricity_demand,
+        add_heat_demand=add_heat_demand
     )
 
     stratified_thermal_storage.add_strat_tes(

From 49b5dd60f7ed13726a7a0bbbb2713351ec3e8a0c Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Tue, 25 May 2021 17:20:00 +0200
Subject: [PATCH 05/37] add docstrings for add_sam_si_module

---
 pvcompare/main.py      |  8 ++++----
 pvcompare/pv_feedin.py | 10 +++++++++-
 2 files changed, 13 insertions(+), 5 deletions(-)

diff --git a/pvcompare/main.py b/pvcompare/main.py
index 55743a5c..f823c7da 100644
--- a/pvcompare/main.py
+++ b/pvcompare/main.py
@@ -37,8 +37,8 @@ def apply_pvcompare(
     overwrite_pv_parameters=True,
     overwrite_heat_parameters=True,
     add_weather_file=None,
-    add_sam_si_module={"cecmod":'Canadian_Solar_Inc__CS5P_220M'},
-    add_electricity_demand="/home/inia/Dokumente/greco_env/pvcompare/pvcompare/data/user_inputs/mvs_inputs/time_series/electricity_load_2017_Spain_5_own.csv",
+    add_sam_si_module=None,
+    add_electricity_demand=None,
     add_heat_demand=None,
 ):
     """
@@ -101,8 +101,8 @@ def apply_pvcompare(
         ,ghi, wind_speed, temp_air, precipitable_water, dni, dhi]
         Default: None. If None, the ERA5 data is used instead.
     add_sam_si_module: dict
-        with library (’CECMod’  or "SandiaMod") as key and module name
-        (e.g. 'Canadian_Solar_Inc__CS5P_220M') as value.
+        with library (’CECMod’  or "SandiaMod") as key and module name as value.
+        E.g. {"cecmod":'Canadian_Solar_Inc__CS5P_220M'}
     add_electricity_demand: str
         Path to precalculated hourly electricity demand time series for one year (or the same period
         of a precalculated PV timeseries)
diff --git a/pvcompare/pv_feedin.py b/pvcompare/pv_feedin.py
index c7ea7bea..ff7c93d1 100644
--- a/pvcompare/pv_feedin.py
+++ b/pvcompare/pv_feedin.py
@@ -97,7 +97,9 @@ def create_pv_components(
     normalization: bool
         If True: Time series is normalized. Otherwise absolute time series is
         returned. Default: True.
-
+    add_sam_si_module: dict
+        with library (’CECMod’  or "SandiaMod") as key and module name as value.
+        E.g. {"cecmod":'Canadian_Solar_Inc__CS5P_220M'}
 
     Returns
     -------
@@ -313,6 +315,9 @@ def set_up_system(technology, surface_azimuth, surface_tilt, add_sam_si_module=N
         surface azimuth of the module
     surface_tilt: float
         surface tilt of the module
+    add_sam_si_module: dict
+        with library (’CECMod’  or "SandiaMod") as key and module name as value.
+        E.g. {"cecmod":'Canadian_Solar_Inc__CS5P_220M'}
 
     Returns
     -------
@@ -400,6 +405,9 @@ def create_si_time_series(
     normalization: bool
         If True: Time series is normalized. Otherwise absolute time series is
         returned.
+    add_sam_si_module: dict
+        with library (’CECMod’  or "SandiaMod") as key and module name as value.
+        E.g. {"cecmod":'Canadian_Solar_Inc__CS5P_220M'}
 
     Returns
     -------

From c54e199a65063a71c33598751585d85122274042 Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Tue, 25 May 2021 17:24:57 +0200
Subject: [PATCH 06/37] add more description for main function

---
 pvcompare/main.py | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/pvcompare/main.py b/pvcompare/main.py
index f823c7da..36ad2dee 100644
--- a/pvcompare/main.py
+++ b/pvcompare/main.py
@@ -102,13 +102,19 @@ def apply_pvcompare(
         Default: None. If None, the ERA5 data is used instead.
     add_sam_si_module: dict
         with library (’CECMod’  or "SandiaMod") as key and module name as value.
-        E.g. {"cecmod":'Canadian_Solar_Inc__CS5P_220M'}
+        E.g. {"cecmod":'Canadian_Solar_Inc__CS5P_220M'}.
+        Note that the SI module is only considered if there is the technology "SI" in
+        'user_inputs/mvs_inputs/pvcompare_inputs/pv_setup.csv'
     add_electricity_demand: str
         Path to precalculated hourly electricity demand time series for one year (or the same period
         of a precalculated PV timeseries)
+        Note that that the demand is only considered is a column "Electricity demand" is added to
+        'user_inputs/mvs_inputs/csv_elements/energyConsumption.csv'
     add_heat_demand: str
         Path to precalculated hourly heat demand time series for one year (or the same period
         of a precalculated PV timeseries)
+        Note that that the demand is only considered is a column "Heat demand" is added to
+        'user_inputs/mvs_inputs/csv_elements/energyConsumption.csv'
 
     Returns
     -------

From cde4945fe8373405c9df10fb51a08f501e497b79 Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Tue, 25 May 2021 18:50:28 +0200
Subject: [PATCH 07/37] allow add pv timeseries

---
 pvcompare/main.py      | 78 ++++++++++++++++++++++++++++--------------
 pvcompare/pv_feedin.py | 36 ++++++++++++++++++-
 2 files changed, 88 insertions(+), 26 deletions(-)

diff --git a/pvcompare/main.py b/pvcompare/main.py
index 36ad2dee..bb84061d 100644
--- a/pvcompare/main.py
+++ b/pvcompare/main.py
@@ -40,6 +40,7 @@ def apply_pvcompare(
     add_sam_si_module=None,
     add_electricity_demand=None,
     add_heat_demand=None,
+    add_pv_timeseries=None,
 ):
     """
     Runs the main functionalities of pvcompare.
@@ -96,25 +97,37 @@ def apply_pvcompare(
         overwritten with calculated time series of COP and existing fixed thermal losses
         absolute and relative will be overwritten with calculated time series of fixed thermal
         losses relative and absolute.
-    add_weather_data: str
+    add_weather_data: str or None
         Path to hourly csv weather time series with columns: [time, latitude, longitude
         ,ghi, wind_speed, temp_air, precipitable_water, dni, dhi]
         Default: None. If None, the ERA5 data is used instead.
-    add_sam_si_module: dict
-        with library (’CECMod’  or "SandiaMod") as key and module name as value.
+    add_sam_si_module: dict or None
+        Dictionary with library (’CECMod’  or "SandiaMod") as key and module name as value.
         E.g. {"cecmod":'Canadian_Solar_Inc__CS5P_220M'}.
         Note that the SI module is only considered if there is the technology "SI" in
         'user_inputs/mvs_inputs/pvcompare_inputs/pv_setup.csv'
-    add_electricity_demand: str
+    add_electricity_demand: str or None
         Path to precalculated hourly electricity demand time series for one year (or the same period
         of a precalculated PV timeseries)
         Note that that the demand is only considered is a column "Electricity demand" is added to
         'user_inputs/mvs_inputs/csv_elements/energyConsumption.csv'
-    add_heat_demand: str
+    add_heat_demand: str or None
         Path to precalculated hourly heat demand time series for one year (or the same period
         of a precalculated PV timeseries)
         Note that that the demand is only considered is a column "Heat demand" is added to
         'user_inputs/mvs_inputs/csv_elements/energyConsumption.csv'
+    add_pv_timeseries: dict or None
+        Dictionary with {"PV1" : ["filename": >path_to_time_series< , "module_size": >module_size in m²<,
+        "module_peak_power": >peak power of the module in kWp<, "surface_type": >surface_type for PV installation<],
+        "PV2" : [...], ...}. If you want to consider more PV time series, more PV keys can be added.
+        The PV time series itself needs to be be an normalized hourly time series in kW/kWp
+        (normalized by the peak power of the module). The facades can be one of: [
+            "flat_roof", "gable_roof", "south_facade", "east_facade", "west_facade"].
+        Note that you need to add more specific PV parameters of your module (name, costs, lifetime etc.) in
+        'user_inputs/mvs_inputs/csv_elements/energyProduction.csv'. The columns in energyProduction.csv
+        should be named "PV"+ key (e.g. "PV SI1")
+         When providing your own time series, overwrite_pv_parameters should be
+        set to false. When add_pv_timeseries is used, the pv_setup.csv is disregarded.
 
     Returns
     -------
@@ -170,27 +183,35 @@ def apply_pvcompare(
     # add datetimeindex
     weather.index = pd.to_datetime(weather.index)
 
-    # check energyProduction.csv file for the correct pv technology
-    check_inputs.overwrite_mvs_energy_production_file(
-        pv_setup=pv_setup,
+    # check if add_pv_time_series is True
+    if add_pv_timeseries is not None:
+        pv_feedin.add_pv_timeseries(add_pv_timeseries=add_pv_timeseries, pv_setup=pv_setup, storeys= storeys,
         user_inputs_mvs_directory=user_inputs_mvs_directory,
-        user_inputs_pvcompare_directory=user_inputs_pvcompare_directory,
-        collections_mvs_inputs_directory=collections_mvs_inputs_directory,
-        overwrite_pv_parameters=overwrite_pv_parameters,
-    )
-    pv_feedin.create_pv_components(
-        lat=latitude,
-        lon=longitude,
-        weather=weather,
-        storeys=storeys,
-        pv_setup=pv_setup,
-        plot=plot,
-        user_inputs_pvcompare_directory=user_inputs_pvcompare_directory,
-        user_inputs_mvs_directory=user_inputs_mvs_directory,
-        year=year,
-        normalization=True,
-        add_sam_si_module=add_sam_si_module
-    )
+        user_inputs_pvcompare_directory=user_inputs_pvcompare_directory)
+
+    else:
+        # check energyProduction.csv file for the correct pv technology
+        check_inputs.overwrite_mvs_energy_production_file(
+            pv_setup=pv_setup,
+            user_inputs_mvs_directory=user_inputs_mvs_directory,
+            user_inputs_pvcompare_directory=user_inputs_pvcompare_directory,
+            collections_mvs_inputs_directory=collections_mvs_inputs_directory,
+            overwrite_pv_parameters=overwrite_pv_parameters,
+        )
+
+        pv_feedin.create_pv_components(
+            lat=latitude,
+            lon=longitude,
+            weather=weather,
+            storeys=storeys,
+            pv_setup=pv_setup,
+            plot=plot,
+            user_inputs_pvcompare_directory=user_inputs_pvcompare_directory,
+            user_inputs_mvs_directory=user_inputs_mvs_directory,
+            year=year,
+            normalization=True,
+            add_sam_si_module=add_sam_si_module
+        )
 
     # add sector coupling in case heat pump or chiller exists in energyConversion.csv
     # note: chiller was not tested, yet.
@@ -314,6 +335,13 @@ def apply_mvs(
         year=year,
         storeys=storeys,
         country=country,
+        add_pv_timeseries={"PV1": {"filename":"/home/inia/Dokumente/greco_env/pvcompare/pvcompare/data/user_inputs/mvs_inputs/time_series/cpv_90_0_2013_40.416775_-3.70379.csv",
+                           "module_size": 1, "module_peak_power":50, "surface_type" : "flat_roof"},
+                           "PV2": {
+                               "filename": "/home/inia/Dokumente/greco_env/pvcompare/pvcompare/data/user_inputs/mvs_inputs/time_series/cpv_90_0_2013_40.416775_-3.70379.csv",
+                               "module_size": 1, "module_peak_power": 50,
+                               "surface_type": "flat_roof"}
+                           }
     )
 
     # apply_mvs(
diff --git a/pvcompare/pv_feedin.py b/pvcompare/pv_feedin.py
index ff7c93d1..a454b0b1 100644
--- a/pvcompare/pv_feedin.py
+++ b/pvcompare/pv_feedin.py
@@ -117,7 +117,7 @@ def create_pv_components(
 
         data_path = os.path.join(user_inputs_pvcompare_directory, "pv_setup.csv")
         pv_setup = pd.read_csv(data_path)
-        logging.info("setup conditions successfully loaded.")
+        logging.info("Pv setup conditions successfully loaded.")
 
     # check if all required columns are in pv_setup
     if not all(
@@ -711,3 +711,37 @@ def get_peak(technology, module_parameters_1, module_parameters_2):
             - (module_parameters_1.p_mp + module_parameters_2.p_mp) * 0.1
         )
         return peak
+
+def add_pv_timeseries(add_pv_timeseries, pv_setup, storeys,
+        user_inputs_mvs_directory,
+        user_inputs_pvcompare_directory):
+    """
+    
+    :return: 
+    """
+
+    for key in add_pv_timeseries.keys():
+        # check if PV timeseries exists
+        if not os.path.isfile(add_pv_timeseries[key]["filename"]):
+            logging.error("The PV time series you have specified does not exist. "
+                          "Please check your input or set 'add_pv_timeseries' to None "
+                          "in order to use the default pvcompare methods.")
+            return
+        pv_timeseries=pd.read_csv(add_pv_timeseries[key]["filename"], index_col=0, header=None)
+        # add "evaluated_period" to simulation_settings.csv
+        check_inputs.add_evaluated_period_to_simulation_settings(
+            time_series=pv_timeseries, user_inputs_mvs_directory=user_inputs_mvs_directory
+        )
+        area = area_potential.calculate_area_potential(
+            storeys,
+            user_inputs_pvcompare_directory,
+            surface_type=add_pv_timeseries[key]["surface_type"],
+        )
+        nominal_value = round((area / add_pv_timeseries[key]["module_size"]) * add_pv_timeseries[key]["module_peak_power"])
+
+        check_inputs.add_parameters_to_energy_production_file(
+            technology=key,
+            ts_filename=add_pv_timeseries[key]["filename"],
+            nominal_value=nominal_value,
+            user_inputs_mvs_directory=user_inputs_mvs_directory,
+        )
\ No newline at end of file

From 751725c4945bcff87d5891eaa3f33c308eac8013 Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Tue, 25 May 2021 18:53:17 +0200
Subject: [PATCH 08/37] add docstring to new function

---
 pvcompare/pv_feedin.py | 33 ++++++++++++++++++++++++++++++---
 1 file changed, 30 insertions(+), 3 deletions(-)

diff --git a/pvcompare/pv_feedin.py b/pvcompare/pv_feedin.py
index a454b0b1..dbbe6652 100644
--- a/pvcompare/pv_feedin.py
+++ b/pvcompare/pv_feedin.py
@@ -712,12 +712,39 @@ def get_peak(technology, module_parameters_1, module_parameters_2):
         )
         return peak
 
-def add_pv_timeseries(add_pv_timeseries, pv_setup, storeys,
+def add_pv_timeseries(add_pv_timeseries, storeys,
         user_inputs_mvs_directory,
         user_inputs_pvcompare_directory):
     """
-    
-    :return: 
+    This function calculates the maximal capacity and inserts the time series filename
+    and the maximum capacity into 'user_inputs/mvs_inputs/csv_elements/energyProduction.csv'.
+
+    Parameter
+    ----------
+    add_pv_timeseries: dict or None
+        Dictionary with {"PV1" : ["filename": >path_to_time_series< , "module_size": >module_size in m²<,
+        "module_peak_power": >peak power of the module in kWp<, "surface_type": >surface_type for PV installation<],
+        "PV2" : [...], ...}. If you want to consider more PV time series, more PV keys can be added.
+        The PV time series itself needs to be be an normalized hourly time series in kW/kWp
+        (normalized by the peak power of the module). The facades can be one of: [
+            "flat_roof", "gable_roof", "south_facade", "east_facade", "west_facade"].
+        Note that you need to add more specific PV parameters of your module (name, costs, lifetime etc.) in
+        'user_inputs/mvs_inputs/csv_elements/energyProduction.csv'. The columns in energyProduction.csv
+        should be named "PV"+ key (e.g. "PV SI1")
+         When providing your own time series, overwrite_pv_parameters should be
+        set to false. When add_pv_timeseries is used, the pv_setup.csv is disregarded.
+    storeys: int
+        number of storeys for which the demand is calculated.
+    user_inputs_mvs_directory: str or None
+        Directory of the mvs inputs; where 'csv_elements/' is located. If None,
+        `constants.DEFAULT_USER_INPUTS_MVS_DIRECTORY` is used as user_inputs_mvs_directory.
+        Default: None.
+    user_inputs_pvcompare_directory: str or None
+        If None, `constants.DEFAULT_USER_INPUTS_PVCOMPARE_DIRECTORY` is used
+        as  user_inputs_pvcompare_directory.
+        Default: None.
+    :return:
+        None
     """
 
     for key in add_pv_timeseries.keys():

From 892d9119b22e000001172ae01afe5e1693e16018 Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Tue, 25 May 2021 19:00:32 +0200
Subject: [PATCH 09/37] add changelog

---
 CHANGELOG.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 48895a3a..63307de1 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -30,6 +30,7 @@ Here is a template for new release sections
 - Add info on energy systems consisting of more than one node in RTD section "scope and limitations" (#293)
 - Added description of the implementation of the stratified thermal storage in pvcompare with a description of the possibilities modeling it (#291)
 - Dokumentation: Update on 'basic_usage', 'parameter description' and 'model assumptions' (#302)
+- Usability: allow the user to provide their own weather data, demand time series, pv time series and SAM SI modules (#317)
 
 ### Changed
 - The inlet temperatures of the heat pump and the stratified thermal storage have been revised in the pvcompare input parameters, adapting them in order to fit typical temperatures of the heating system. Also the pvcompare input parameters of the stratified thermal storage have been revised (#272)

From e5295d5f6a51cc73c2d5a6cac573d0cdd03e7347 Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Tue, 25 May 2021 19:00:42 +0200
Subject: [PATCH 10/37] apply black

---
 pvcompare/demand.py    | 24 ++++++++++++++----------
 pvcompare/main.py      | 37 ++++++++++++++++++++++++-------------
 pvcompare/pv_feedin.py | 41 ++++++++++++++++++++++++++++-------------
 3 files changed, 66 insertions(+), 36 deletions(-)

diff --git a/pvcompare/demand.py b/pvcompare/demand.py
index 2d03c552..52557ada 100644
--- a/pvcompare/demand.py
+++ b/pvcompare/demand.py
@@ -56,7 +56,7 @@ def calculate_load_profiles(
     user_inputs_pvcompare_directory=None,
     user_inputs_mvs_directory=None,
     add_electricity_demand=None,
-    add_heat_demand= None
+    add_heat_demand=None,
 ):
     """
     Calculates electricity and heat load profiles and saves them to csv.
@@ -115,7 +115,7 @@ def calculate_load_profiles(
             if energyConsumption.at["energyVector", column] == "Heat":
 
                 if add_heat_demand is not None:
-                    #check if file exists
+                    # check if file exists
                     if os.path.isfile(add_heat_demand):
                         # save the file name of the time series
                         # mvs_inputs/elements/csv/energyProduction.csv
@@ -125,10 +125,12 @@ def calculate_load_profiles(
                             user_inputs_mvs_directory=user_inputs_mvs_directory,
                         )
                     else:
-                        logging.warning("The heat demand time series"
-                                        " you have entered does not exist. It is"
-                                        " thus calculated according to the default"
-                                        " method of pvcompare.")
+                        logging.warning(
+                            "The heat demand time series"
+                            " you have entered does not exist. It is"
+                            " thus calculated according to the default"
+                            " method of pvcompare."
+                        )
                 else:
                     calculate_heat_demand(
                         country=country,
@@ -155,10 +157,12 @@ def calculate_load_profiles(
                             user_inputs_mvs_directory=user_inputs_mvs_directory,
                         )
                     else:
-                        logging.warning("The electricity demand time series"
-                                        " you have entered does not exist. It is"
-                                        " thus calculated according to the default"
-                                        " method of pvcompare.")
+                        logging.warning(
+                            "The electricity demand time series"
+                            " you have entered does not exist. It is"
+                            " thus calculated according to the default"
+                            " method of pvcompare."
+                        )
                 else:
                     calculate_power_demand(
                         country=country,
diff --git a/pvcompare/main.py b/pvcompare/main.py
index bb84061d..7bbc70f8 100644
--- a/pvcompare/main.py
+++ b/pvcompare/main.py
@@ -185,9 +185,13 @@ def apply_pvcompare(
 
     # check if add_pv_time_series is True
     if add_pv_timeseries is not None:
-        pv_feedin.add_pv_timeseries(add_pv_timeseries=add_pv_timeseries, pv_setup=pv_setup, storeys= storeys,
-        user_inputs_mvs_directory=user_inputs_mvs_directory,
-        user_inputs_pvcompare_directory=user_inputs_pvcompare_directory)
+        pv_feedin.add_pv_timeseries(
+            add_pv_timeseries=add_pv_timeseries,
+            pv_setup=pv_setup,
+            storeys=storeys,
+            user_inputs_mvs_directory=user_inputs_mvs_directory,
+            user_inputs_pvcompare_directory=user_inputs_pvcompare_directory,
+        )
 
     else:
         # check energyProduction.csv file for the correct pv technology
@@ -210,7 +214,7 @@ def apply_pvcompare(
             user_inputs_mvs_directory=user_inputs_mvs_directory,
             year=year,
             normalization=True,
-            add_sam_si_module=add_sam_si_module
+            add_sam_si_module=add_sam_si_module,
         )
 
     # add sector coupling in case heat pump or chiller exists in energyConversion.csv
@@ -234,8 +238,8 @@ def apply_pvcompare(
         user_inputs_pvcompare_directory=user_inputs_pvcompare_directory,
         user_inputs_mvs_directory=user_inputs_mvs_directory,
         weather=weather,
-        add_electricity_demand= add_electricity_demand,
-        add_heat_demand=add_heat_demand
+        add_electricity_demand=add_electricity_demand,
+        add_heat_demand=add_heat_demand,
     )
 
     stratified_thermal_storage.add_strat_tes(
@@ -335,13 +339,20 @@ def apply_mvs(
         year=year,
         storeys=storeys,
         country=country,
-        add_pv_timeseries={"PV1": {"filename":"/home/inia/Dokumente/greco_env/pvcompare/pvcompare/data/user_inputs/mvs_inputs/time_series/cpv_90_0_2013_40.416775_-3.70379.csv",
-                           "module_size": 1, "module_peak_power":50, "surface_type" : "flat_roof"},
-                           "PV2": {
-                               "filename": "/home/inia/Dokumente/greco_env/pvcompare/pvcompare/data/user_inputs/mvs_inputs/time_series/cpv_90_0_2013_40.416775_-3.70379.csv",
-                               "module_size": 1, "module_peak_power": 50,
-                               "surface_type": "flat_roof"}
-                           }
+        add_pv_timeseries={
+            "PV1": {
+                "filename": "/home/inia/Dokumente/greco_env/pvcompare/pvcompare/data/user_inputs/mvs_inputs/time_series/cpv_90_0_2013_40.416775_-3.70379.csv",
+                "module_size": 1,
+                "module_peak_power": 50,
+                "surface_type": "flat_roof",
+            },
+            "PV2": {
+                "filename": "/home/inia/Dokumente/greco_env/pvcompare/pvcompare/data/user_inputs/mvs_inputs/time_series/cpv_90_0_2013_40.416775_-3.70379.csv",
+                "module_size": 1,
+                "module_peak_power": 50,
+                "surface_type": "flat_roof",
+            },
+        },
     )
 
     # apply_mvs(
diff --git a/pvcompare/pv_feedin.py b/pvcompare/pv_feedin.py
index dbbe6652..30053e90 100644
--- a/pvcompare/pv_feedin.py
+++ b/pvcompare/pv_feedin.py
@@ -52,7 +52,7 @@ def create_pv_components(
     user_inputs_mvs_directory=None,
     psi_type="Chen",
     normalization=True,
-    add_sam_si_module=None
+    add_sam_si_module=None,
 ):
     """
     Creates feed-in time series for all surface types in `pv_setup` or 'pv_setup.csv'.
@@ -168,7 +168,7 @@ def create_pv_components(
                     surface_azimuth=j,
                     surface_tilt=k,
                     normalization=normalization,
-                    add_sam_si_module=add_sam_si_module
+                    add_sam_si_module=add_sam_si_module,
                 )
             elif row["technology"] == "cpv":
                 time_series = create_cpv_time_series(
@@ -415,7 +415,10 @@ def create_si_time_series(
     """
 
     system, module_parameters = set_up_system(
-        technology="si", surface_azimuth=surface_azimuth, surface_tilt=surface_tilt, add_sam_si_module=add_sam_si_module
+        technology="si",
+        surface_azimuth=surface_azimuth,
+        surface_tilt=surface_tilt,
+        add_sam_si_module=add_sam_si_module,
     )
     location = Location(latitude=lat, longitude=lon)
 
@@ -712,9 +715,13 @@ def get_peak(technology, module_parameters_1, module_parameters_2):
         )
         return peak
 
-def add_pv_timeseries(add_pv_timeseries, storeys,
-        user_inputs_mvs_directory,
-        user_inputs_pvcompare_directory):
+
+def add_pv_timeseries(
+    add_pv_timeseries,
+    storeys,
+    user_inputs_mvs_directory,
+    user_inputs_pvcompare_directory,
+):
     """
     This function calculates the maximal capacity and inserts the time series filename
     and the maximum capacity into 'user_inputs/mvs_inputs/csv_elements/energyProduction.csv'.
@@ -750,25 +757,33 @@ def add_pv_timeseries(add_pv_timeseries, storeys,
     for key in add_pv_timeseries.keys():
         # check if PV timeseries exists
         if not os.path.isfile(add_pv_timeseries[key]["filename"]):
-            logging.error("The PV time series you have specified does not exist. "
-                          "Please check your input or set 'add_pv_timeseries' to None "
-                          "in order to use the default pvcompare methods.")
+            logging.error(
+                "The PV time series you have specified does not exist. "
+                "Please check your input or set 'add_pv_timeseries' to None "
+                "in order to use the default pvcompare methods."
+            )
             return
-        pv_timeseries=pd.read_csv(add_pv_timeseries[key]["filename"], index_col=0, header=None)
+        pv_timeseries = pd.read_csv(
+            add_pv_timeseries[key]["filename"], index_col=0, header=None
+        )
         # add "evaluated_period" to simulation_settings.csv
         check_inputs.add_evaluated_period_to_simulation_settings(
-            time_series=pv_timeseries, user_inputs_mvs_directory=user_inputs_mvs_directory
+            time_series=pv_timeseries,
+            user_inputs_mvs_directory=user_inputs_mvs_directory,
         )
         area = area_potential.calculate_area_potential(
             storeys,
             user_inputs_pvcompare_directory,
             surface_type=add_pv_timeseries[key]["surface_type"],
         )
-        nominal_value = round((area / add_pv_timeseries[key]["module_size"]) * add_pv_timeseries[key]["module_peak_power"])
+        nominal_value = round(
+            (area / add_pv_timeseries[key]["module_size"])
+            * add_pv_timeseries[key]["module_peak_power"]
+        )
 
         check_inputs.add_parameters_to_energy_production_file(
             technology=key,
             ts_filename=add_pv_timeseries[key]["filename"],
             nominal_value=nominal_value,
             user_inputs_mvs_directory=user_inputs_mvs_directory,
-        )
\ No newline at end of file
+        )

From 9bf257d7bf980d6ba20fde2fa64801133bc9fa64 Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Tue, 25 May 2021 19:58:12 +0200
Subject: [PATCH 11/37] add sam_si_module to nominal value

---
 pvcompare/pv_feedin.py | 10 +++++++---
 1 file changed, 7 insertions(+), 3 deletions(-)

diff --git a/pvcompare/pv_feedin.py b/pvcompare/pv_feedin.py
index 30053e90..26221577 100644
--- a/pvcompare/pv_feedin.py
+++ b/pvcompare/pv_feedin.py
@@ -252,6 +252,7 @@ def create_pv_components(
             surface_azimuth=j,
             surface_tilt=k,
             psi_type=psi_type,
+            add_sam_si_module=add_sam_si_module
         )
         # save the file name of the time series and the nominal value to
         # mvs_inputs/elements/csv/energyProduction.csv
@@ -379,7 +380,7 @@ def set_up_system(technology, surface_azimuth, surface_tilt, add_sam_si_module=N
 
 
 def create_si_time_series(
-    lat, lon, weather, surface_azimuth, surface_tilt, normalization, add_sam_si_module
+    lat, lon, weather, surface_azimuth, surface_tilt, normalization, add_sam_si_module=None
 ):
 
     """
@@ -605,7 +606,7 @@ def create_psi_time_series(
         return (output / peak).clip(0)
 
 
-def nominal_values_pv(technology, area, surface_azimuth, surface_tilt, psi_type):
+def nominal_values_pv(technology, area, surface_azimuth, surface_tilt, psi_type, add_sam_si_module):
     """
     calculates the maximum installed capacity for each pv module.
 
@@ -636,6 +637,7 @@ def nominal_values_pv(technology, area, surface_azimuth, surface_tilt, psi_type)
             technology=technology,
             surface_azimuth=surface_azimuth,
             surface_tilt=surface_tilt,
+            add_sam_si_module=add_sam_si_module
         )
         peak = get_peak(
             technology, module_parameters_1=module_parameters, module_parameters_2=None,
@@ -750,7 +752,9 @@ def add_pv_timeseries(
         If None, `constants.DEFAULT_USER_INPUTS_PVCOMPARE_DIRECTORY` is used
         as  user_inputs_pvcompare_directory.
         Default: None.
-    :return:
+
+    Return
+    -------
         None
     """
 

From 1a77703eafc84dc5e724fd307eb735b21034c0eb Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Tue, 25 May 2021 20:00:09 +0200
Subject: [PATCH 12/37] add tests for new features to test_main()

---
 tests/test_main.py | 124 ++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 123 insertions(+), 1 deletion(-)

diff --git a/tests/test_main.py b/tests/test_main.py
index 832fb58d..836c14d7 100644
--- a/tests/test_main.py
+++ b/tests/test_main.py
@@ -15,6 +15,7 @@
 import mock
 import shutil
 import pytest
+import pandas as pd
 
 TESTS_ON_MASTER = "master"
 EXECUTE_TESTS_ON = os.environ.get("EXECUTE_TESTS_ON", "skip")
@@ -35,7 +36,7 @@ def setup_class(self):
         self.user_inputs_pvcompare_directory = os.path.join(
             os.path.dirname(__file__), "data_test_main/user_inputs/pvcompare_inputs/"
         )
-        self.static_inputs_directory = None
+        self.static_inputs_directory = "data/static_inputs/"
         self.user_inputs_mvs_directory = os.path.join(
             os.path.dirname(__file__), "data_test_main/user_inputs/mvs_inputs/"
         )
@@ -77,6 +78,127 @@ def test_apply_pvcompare(self):
             )
         )
 
+    def test_apply_pvcompare_add_weather_file(self):
+        # delete file
+        directory = os.path.join(self.user_inputs_mvs_directory, "time_series")
+        filelist = glob.glob(os.path.join(directory, "*.csv"))
+        for f in filelist:
+            os.remove(f)
+
+        weather_file = os.path.join(self.static_inputs_directory,"weatherdata_53.2_13.2_2017.csv")
+
+        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,
+            add_weather_file= weather_file
+        )
+
+        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_apply_pvcompare_add_demands(self):
+
+        filename_electricity_demand = os.path.join(self.user_inputs_mvs_directory, "predefined_time_series/electricity_load_2015_France_5.csv")
+
+        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,
+            add_heat_demand=None,
+            add_electricity_demand=filename_electricity_demand
+        )
+
+        energyConsumption = pd.read_csv(
+            os.path.join(
+                self.user_inputs_mvs_directory, "csv_elements/energyConsumption.csv"
+            ))
+        assert energyConsumption.at["file_name", "Electricity demand"] == filename_electricity_demand
+
+
+    def test_apply_pvcompare_add_pv_timeseries(self):
+
+        filename_pv_timeseries = os.path.join(self.user_inputs_mvs_directory, "predefined_time_series/si_180_38_2012_52.52437_13.41053.csv")
+
+        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=False,
+            add_pv_timeseries={"si": {"filename": filename_pv_timeseries,
+                "module_size": 1,
+                "module_peak_power": 50,
+                "surface_type": "flat_roof",}}
+        )
+
+        energyProduction = pd.read_csv(
+            os.path.join(
+                self.user_inputs_mvs_directory, "csv_elements/energyProduction.csv"
+            ))
+        assert energyProduction.at["file_name", "PV si"] == filename_pv_timeseries
+
+
+    def test_apply_pvcompare_add_sam_si_module(self):
+
+        filename_pv_timeseries = os.path.join(self.user_inputs_mvs_directory, "predefined_time_series/si_180_38_2012_52.52437_13.41053.csv")
+
+        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=False,
+            add_sam_si_module={'cecmod' :'Advance_Solar_Hydro_Wind_Power_API_180'}
+        )
+
+        energyProduction = pd.read_csv(
+            os.path.join(
+                self.user_inputs_mvs_directory, "csv_elements/energyProduction.csv"
+            ))
+        assert energyProduction.at["maximumCap", "PV si"] == 27790.992
+
     # this ensures that the test is only run if explicitly executed, i.e. not when the
     # `pytest` command alone is called
     @pytest.mark.skipif(

From d034425166eb2b1eea7454df879b6266a05b8bc1 Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Tue, 25 May 2021 20:02:00 +0200
Subject: [PATCH 13/37] add predefined timeseries to test data

---
 .../electricity_load_2015_France_5.csv        | 8761 ++++++++++++++++
 .../heat_load_2015_40.0_5.0_5.csv             |    3 +
 .../si_180_38_2012_52.52437_13.41053.csv      | 8785 +++++++++++++++++
 3 files changed, 17549 insertions(+)
 create mode 100644 tests/data_test_main/user_inputs/mvs_inputs/predefined_time_series/electricity_load_2015_France_5.csv
 create mode 100644 tests/data_test_main/user_inputs/mvs_inputs/predefined_time_series/heat_load_2015_40.0_5.0_5.csv
 create mode 100644 tests/data_test_main/user_inputs/mvs_inputs/predefined_time_series/si_180_38_2012_52.52437_13.41053.csv

diff --git a/tests/data_test_main/user_inputs/mvs_inputs/predefined_time_series/electricity_load_2015_France_5.csv b/tests/data_test_main/user_inputs/mvs_inputs/predefined_time_series/electricity_load_2015_France_5.csv
new file mode 100644
index 00000000..dae8019c
--- /dev/null
+++ b/tests/data_test_main/user_inputs/mvs_inputs/predefined_time_series/electricity_load_2015_France_5.csv
@@ -0,0 +1,8761 @@
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diff --git a/tests/data_test_main/user_inputs/mvs_inputs/predefined_time_series/heat_load_2015_40.0_5.0_5.csv b/tests/data_test_main/user_inputs/mvs_inputs/predefined_time_series/heat_load_2015_40.0_5.0_5.csv
new file mode 100644
index 00000000..eefe6f69
--- /dev/null
+++ b/tests/data_test_main/user_inputs/mvs_inputs/predefined_time_series/heat_load_2015_40.0_5.0_5.csv
@@ -0,0 +1,3 @@
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diff --git a/tests/data_test_main/user_inputs/mvs_inputs/predefined_time_series/si_180_38_2012_52.52437_13.41053.csv b/tests/data_test_main/user_inputs/mvs_inputs/predefined_time_series/si_180_38_2012_52.52437_13.41053.csv
new file mode 100644
index 00000000..5ee3f901
--- /dev/null
+++ b/tests/data_test_main/user_inputs/mvs_inputs/predefined_time_series/si_180_38_2012_52.52437_13.41053.csv
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From 56418404bb6ec5e2b0f9824c48d5bcffa0a66216 Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Tue, 25 May 2021 20:21:11 +0200
Subject: [PATCH 14/37] adjust tests

---
 pvcompare/main.py      | 42 +++++++++++++-------------
 pvcompare/pv_feedin.py | 16 +++++++---
 tests/test_main.py     | 68 +++++++++++++++++++++++++++++-------------
 3 files changed, 81 insertions(+), 45 deletions(-)

diff --git a/pvcompare/main.py b/pvcompare/main.py
index 7bbc70f8..6065e7c3 100644
--- a/pvcompare/main.py
+++ b/pvcompare/main.py
@@ -187,7 +187,6 @@ def apply_pvcompare(
     if add_pv_timeseries is not None:
         pv_feedin.add_pv_timeseries(
             add_pv_timeseries=add_pv_timeseries,
-            pv_setup=pv_setup,
             storeys=storeys,
             user_inputs_mvs_directory=user_inputs_mvs_directory,
             user_inputs_pvcompare_directory=user_inputs_pvcompare_directory,
@@ -339,24 +338,25 @@ def apply_mvs(
         year=year,
         storeys=storeys,
         country=country,
-        add_pv_timeseries={
-            "PV1": {
-                "filename": "/home/inia/Dokumente/greco_env/pvcompare/pvcompare/data/user_inputs/mvs_inputs/time_series/cpv_90_0_2013_40.416775_-3.70379.csv",
-                "module_size": 1,
-                "module_peak_power": 50,
-                "surface_type": "flat_roof",
-            },
-            "PV2": {
-                "filename": "/home/inia/Dokumente/greco_env/pvcompare/pvcompare/data/user_inputs/mvs_inputs/time_series/cpv_90_0_2013_40.416775_-3.70379.csv",
-                "module_size": 1,
-                "module_peak_power": 50,
-                "surface_type": "flat_roof",
-            },
-        },
+        # add_pv_timeseries={
+        #     "PV1": {
+        #         "filename": "/home/inia/Dokumente/greco_env/pvcompare/pvcompare/data/user_inputs/mvs_inputs/time_series/cpv_90_0_2013_40.416775_-3.70379.csv",
+        #         "module_size": 1,
+        #         "module_peak_power": 50,
+        #         "surface_type": "flat_roof",
+        #     },
+        #     "PV2": {
+        #         "filename": "/home/inia/Dokumente/greco_env/pvcompare/pvcompare/data/user_inputs/mvs_inputs/time_series/cpv_90_0_2013_40.416775_-3.70379.csv",
+        #         "module_size": 1,
+        #         "module_peak_power": 50,
+        #         "surface_type": "flat_roof",
+        #     },
+        # },
+        add_sam_si_module={"cecmod": "Advance_Solar_Hydro_Wind_Power_API_180"},
     )
-
-    # apply_mvs(
-    #     scenario_name=scenario_name,
-    #     outputs_directory=None,
-    #     user_inputs_mvs_directory=None,
-    # )
+#    'Canadian_Solar_CS5P_220M___2009_']
+# apply_mvs(
+#     scenario_name=scenario_name,
+#     outputs_directory=None,
+#     user_inputs_mvs_directory=None,
+# )
diff --git a/pvcompare/pv_feedin.py b/pvcompare/pv_feedin.py
index 26221577..e021b884 100644
--- a/pvcompare/pv_feedin.py
+++ b/pvcompare/pv_feedin.py
@@ -252,7 +252,7 @@ def create_pv_components(
             surface_azimuth=j,
             surface_tilt=k,
             psi_type=psi_type,
-            add_sam_si_module=add_sam_si_module
+            add_sam_si_module=add_sam_si_module,
         )
         # save the file name of the time series and the nominal value to
         # mvs_inputs/elements/csv/energyProduction.csv
@@ -380,7 +380,13 @@ def set_up_system(technology, surface_azimuth, surface_tilt, add_sam_si_module=N
 
 
 def create_si_time_series(
-    lat, lon, weather, surface_azimuth, surface_tilt, normalization, add_sam_si_module=None
+    lat,
+    lon,
+    weather,
+    surface_azimuth,
+    surface_tilt,
+    normalization,
+    add_sam_si_module=None,
 ):
 
     """
@@ -606,7 +612,9 @@ def create_psi_time_series(
         return (output / peak).clip(0)
 
 
-def nominal_values_pv(technology, area, surface_azimuth, surface_tilt, psi_type, add_sam_si_module):
+def nominal_values_pv(
+    technology, area, surface_azimuth, surface_tilt, psi_type, add_sam_si_module
+):
     """
     calculates the maximum installed capacity for each pv module.
 
@@ -637,7 +645,7 @@ def nominal_values_pv(technology, area, surface_azimuth, surface_tilt, psi_type,
             technology=technology,
             surface_azimuth=surface_azimuth,
             surface_tilt=surface_tilt,
-            add_sam_si_module=add_sam_si_module
+            add_sam_si_module=add_sam_si_module,
         )
         peak = get_peak(
             technology, module_parameters_1=module_parameters, module_parameters_2=None,
diff --git a/tests/test_main.py b/tests/test_main.py
index 836c14d7..6eb9cb69 100644
--- a/tests/test_main.py
+++ b/tests/test_main.py
@@ -17,6 +17,8 @@
 import pytest
 import pandas as pd
 
+import pvcompare.constants as constants
+
 TESTS_ON_MASTER = "master"
 EXECUTE_TESTS_ON = os.environ.get("EXECUTE_TESTS_ON", "skip")
 
@@ -36,7 +38,8 @@ def setup_class(self):
         self.user_inputs_pvcompare_directory = os.path.join(
             os.path.dirname(__file__), "data_test_main/user_inputs/pvcompare_inputs/"
         )
-        self.static_inputs_directory = "data/static_inputs/"
+        self.static_inputs_directory = constants.DEFAULT_STATIC_INPUTS_DIRECTORY
+        self.test_static_inputs_directory = "data/static_inputs/"
         self.user_inputs_mvs_directory = os.path.join(
             os.path.dirname(__file__), "data_test_main/user_inputs/mvs_inputs/"
         )
@@ -85,7 +88,9 @@ def test_apply_pvcompare_add_weather_file(self):
         for f in filelist:
             os.remove(f)
 
-        weather_file = os.path.join(self.static_inputs_directory,"weatherdata_53.2_13.2_2017.csv")
+        weather_file = os.path.join(
+            self.test_static_inputs_directory, "weatherdata_53.2_13.2_2017.csv"
+        )
 
         main.apply_pvcompare(
             storeys=self.storeys,
@@ -101,7 +106,7 @@ def test_apply_pvcompare_add_weather_file(self):
             pv_setup=None,
             overwrite_grid_parameters=True,
             overwrite_pv_parameters=True,
-            add_weather_file= weather_file
+            add_weather_file=weather_file,
         )
 
         assert os.path.isfile(
@@ -113,8 +118,16 @@ def test_apply_pvcompare_add_weather_file(self):
         )
 
     def test_apply_pvcompare_add_demands(self):
+        # delete file
+        directory = os.path.join(self.user_inputs_mvs_directory, "time_series")
+        filelist = glob.glob(os.path.join(directory, "*.csv"))
+        for f in filelist:
+            os.remove(f)
 
-        filename_electricity_demand = os.path.join(self.user_inputs_mvs_directory, "predefined_time_series/electricity_load_2015_France_5.csv")
+        filename_electricity_demand = os.path.join(
+            self.user_inputs_mvs_directory,
+            "predefined_time_series/electricity_load_2015_France_5.csv",
+        )
 
         main.apply_pvcompare(
             storeys=self.storeys,
@@ -131,19 +144,27 @@ def test_apply_pvcompare_add_demands(self):
             overwrite_grid_parameters=True,
             overwrite_pv_parameters=True,
             add_heat_demand=None,
-            add_electricity_demand=filename_electricity_demand
+            add_electricity_demand=filename_electricity_demand,
         )
 
         energyConsumption = pd.read_csv(
             os.path.join(
                 self.user_inputs_mvs_directory, "csv_elements/energyConsumption.csv"
-            ))
-        assert energyConsumption.at["file_name", "Electricity demand"] == filename_electricity_demand
-
+            ),
+            index_col=0,
+            header=0,
+        )
+        assert (
+            energyConsumption.at["file_name", "Electricity demand"]
+            == filename_electricity_demand
+        )
 
     def test_apply_pvcompare_add_pv_timeseries(self):
 
-        filename_pv_timeseries = os.path.join(self.user_inputs_mvs_directory, "predefined_time_series/si_180_38_2012_52.52437_13.41053.csv")
+        filename_pv_timeseries = os.path.join(
+            self.user_inputs_mvs_directory,
+            "predefined_time_series/si_180_38_2012_52.52437_13.41053.csv",
+        )
 
         main.apply_pvcompare(
             storeys=self.storeys,
@@ -159,23 +180,27 @@ def test_apply_pvcompare_add_pv_timeseries(self):
             pv_setup=None,
             overwrite_grid_parameters=True,
             overwrite_pv_parameters=False,
-            add_pv_timeseries={"si": {"filename": filename_pv_timeseries,
-                "module_size": 1,
-                "module_peak_power": 50,
-                "surface_type": "flat_roof",}}
+            add_pv_timeseries={
+                "si": {
+                    "filename": filename_pv_timeseries,
+                    "module_size": 1,
+                    "module_peak_power": 50,
+                    "surface_type": "flat_roof",
+                }
+            },
         )
 
         energyProduction = pd.read_csv(
             os.path.join(
                 self.user_inputs_mvs_directory, "csv_elements/energyProduction.csv"
-            ))
+            ),
+            index_col=0,
+            header=0,
+        )
         assert energyProduction.at["file_name", "PV si"] == filename_pv_timeseries
 
-
     def test_apply_pvcompare_add_sam_si_module(self):
 
-        filename_pv_timeseries = os.path.join(self.user_inputs_mvs_directory, "predefined_time_series/si_180_38_2012_52.52437_13.41053.csv")
-
         main.apply_pvcompare(
             storeys=self.storeys,
             country=self.country,
@@ -190,14 +215,17 @@ def test_apply_pvcompare_add_sam_si_module(self):
             pv_setup=None,
             overwrite_grid_parameters=True,
             overwrite_pv_parameters=False,
-            add_sam_si_module={'cecmod' :'Advance_Solar_Hydro_Wind_Power_API_180'}
+            add_sam_si_module={"cecmod": "Advance_Solar_Hydro_Wind_Power_API_180"},
         )
 
         energyProduction = pd.read_csv(
             os.path.join(
                 self.user_inputs_mvs_directory, "csv_elements/energyProduction.csv"
-            ))
-        assert energyProduction.at["maximumCap", "PV si"] == 27790.992
+            ),
+            index_col=0,
+            header=0,
+        )
+        assert float(energyProduction.at["maximumCap", "PV si"]) == 27790.992
 
     # this ensures that the test is only run if explicitly executed, i.e. not when the
     # `pytest` command alone is called

From be58676cfb8872a79fc91daee671632aab6d57c4 Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Wed, 26 May 2021 09:52:30 +0200
Subject: [PATCH 15/37] fix tests and docstrings

---
 pvcompare/pv_feedin.py | 17 +++++++++++------
 tests/test_main.py     |  4 +++-
 2 files changed, 14 insertions(+), 7 deletions(-)

diff --git a/pvcompare/pv_feedin.py b/pvcompare/pv_feedin.py
index e021b884..e105bc8c 100644
--- a/pvcompare/pv_feedin.py
+++ b/pvcompare/pv_feedin.py
@@ -316,9 +316,9 @@ def set_up_system(technology, surface_azimuth, surface_tilt, add_sam_si_module=N
         surface azimuth of the module
     surface_tilt: float
         surface tilt of the module
-    add_sam_si_module: dict
-        with library (’CECMod’  or "SandiaMod") as key and module name as value.
-        E.g. {"cecmod":'Canadian_Solar_Inc__CS5P_220M'}
+        Dictionary with library (’CECMod’  or "SandiaMod") as key and module name as value.
+        E.g. {"cecmod":'Canadian_Solar_Inc__CS5P_220M'}.
+        Note that the SI module is only considered if there is the technology "SI" in
 
     Returns
     -------
@@ -413,8 +413,9 @@ def create_si_time_series(
         If True: Time series is normalized. Otherwise absolute time series is
         returned.
     add_sam_si_module: dict
-        with library (’CECMod’  or "SandiaMod") as key and module name as value.
-        E.g. {"cecmod":'Canadian_Solar_Inc__CS5P_220M'}
+        Dictionary with library (’CECMod’  or "SandiaMod") as key and module name as value.
+        E.g. {"cecmod":'Canadian_Solar_Inc__CS5P_220M'}.
+        Note that the SI module is only considered if there is the technology "SI" in
 
     Returns
     -------
@@ -613,7 +614,7 @@ def create_psi_time_series(
 
 
 def nominal_values_pv(
-    technology, area, surface_azimuth, surface_tilt, psi_type, add_sam_si_module
+    technology, area, surface_azimuth, surface_tilt, psi_type, add_sam_si_module=None
 ):
     """
     calculates the maximum installed capacity for each pv module.
@@ -633,6 +634,10 @@ def nominal_values_pv(
         surface azimuth of the modules
     surface_tilt: float
         surface tilt of the modules
+    add_sam_si_module: dict or None
+        Dictionary with library (’CECMod’  or "SandiaMod") as key and module name as value.
+        E.g. {"cecmod":'Canadian_Solar_Inc__CS5P_220M'}.
+        Note that the SI module is only considered if there is the technology "SI" in
 
     Returns
     -------
diff --git a/tests/test_main.py b/tests/test_main.py
index 6eb9cb69..6d215da8 100644
--- a/tests/test_main.py
+++ b/tests/test_main.py
@@ -39,7 +39,9 @@ def setup_class(self):
             os.path.dirname(__file__), "data_test_main/user_inputs/pvcompare_inputs/"
         )
         self.static_inputs_directory = constants.DEFAULT_STATIC_INPUTS_DIRECTORY
-        self.test_static_inputs_directory = "data/static_inputs/"
+        self.test_static_inputs_directory = os.path.join(
+            os.path.dirname(__file__), "data/static_inputs/"
+        )
         self.user_inputs_mvs_directory = os.path.join(
             os.path.dirname(__file__), "data_test_main/user_inputs/mvs_inputs/"
         )

From edc6046c19acb3745efbcbb86226a53208b3a9cd Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Wed, 26 May 2021 11:16:02 +0200
Subject: [PATCH 16/37] add decription of new features in docs

---
 docs/basic_usage.rst       | 55 ++++++++++++++++++++++++++++++++++++--
 docs/model_assumptions.rst |  1 +
 2 files changed, 54 insertions(+), 2 deletions(-)

diff --git a/docs/basic_usage.rst b/docs/basic_usage.rst
index fd471392..cc61fe6b 100644
--- a/docs/basic_usage.rst
+++ b/docs/basic_usage.rst
@@ -77,11 +77,62 @@ install the *cdsapi* package. `This page <https://cds.climate.copernicus.eu/api-
 
 Two example weather years for Berlin, Germany, 2017 and Madrid, Spain, 2017 are already added to ``data/static_inputs``.
 
-**Provide your own weather data**
+Provide your own input time series
+==================================
 
-As an alternative `oemof feedinlib <https://feedinlib.readthedocs.io/en/releases-0.1.0/load_era5_weather_data.html>`_ provides a jupyter notebook with instructions on how to download data for a single coordinate or a region.
+*pvcompare* provides functionalities to automatically download weather data ad well as calculate demand and pv time series.
+If you want to use your own input time series, you
+can do so by defining them in the :py:func:`~.main.apply_pvcompare` function. The followning section gives you an overwiew
+on how to provide your time series.
 
+**Weather data**
 
+In oder to provide your own weather data, you need to insert the path
+to your weather file to the parameter ``add_weather_data`` in the :py:func:`~.main.apply_pvcompare` function. The file
+should contain an hourly time series in *csv* format with the columns: [time, latitude, longitude
+,ghi, dni, dhi, wind_speed, temp_air, precipitable_water].
+
+You can also download ERA5 data yourself. `oemof feedinlib <https://feedinlib.readthedocs.io/en/releases-0.1.0/load_era5_weather_data.html>`_ provides a jupyter notebook with instructions on how to download data for a single coordinate or a region.
+
+**Demand time series**
+
+In order to add your own heat and/or electricity time series add the path to the file to ``add_electricity_demand`` or ``add_heat_demand``
+in :py:func:`~.main.apply_pvcompare`. Note that the respective demand is only considered, if a column "Electricity demand" or "Heat demand"
+exists in ``data/user_inputs/mvs_inputs/csv_elements/energyConsumption.csv``.
+The demand time series should be given as an hourly time series in kW.
+
+**PV time series**
+
+You can add your own PV time series by defining ``add_pv_timeseries`` in :py:func:`~.main.apply_pvcompare`.
+Instead of just providing the path to the file, you need to define a dictionary with additional information
+on the PV module you are considering, in order to allow the calculation of the area potential for your module.
+The dictionary should be given as follows:
+    {"PV1" : ["filename": >path_to_time_series< , "module_size": >module_size in m²<,
+    "module_peak_power": >peak power of the module in kWp<, "surface_type": >surface_type for PV installation<],
+    "PV2" : [...], ...}
+You can add more than one module time series by defining more PV-keys.
+The PV time series itself needs to be be an normalized hourly time series in kW/kWp
+(normalized by the peak power of the module). The surface_types can be one of: [
+"flat_roof", "gable_roof", "south_facade", "east_facade", "west_facade"].
+
+Note that you need to add more specific PV parameters of your module (name, costs, lifetime etc.) in
+``user_inputs/mvs_inputs/csv_elements/energyProduction.csv``. The columns in ``energyProduction.csv``
+should be named "PV"+ key (e.g. "PV SI1") if your key is "SI1".
+
+When providing your own time series, ``overwrite_pv_parameters`` in :py:func:`~.main.apply_pvcompare` should be
+set to false. When ``add_pv_timeseries`` is used, the ``pv_setup.csv`` is disregarded.
+
+**Add a different SI module**
+
+By default, the module "Aleo_Solar_S59y280" is loaded from `cec module <https://github.com/NREL/SAM/tree/develop/deploy/libraries>`_ database.
+But you can add another module from sandia or cec `libraries <https://github.com/NREL/SAM/tree/develop/deploy/libraries>`_.
+
+To do so, you need to define the parameter ``add_sam_si_module`` in :py:func:`~.main.apply_pvcompare`.
+You should define a dictionary with the library ("CECMod"  or "SandiaMod") as key and module name as value.
+E.g. {"cecmod":"Canadian_Solar_Inc__CS5P_220M"}.
+
+Note that the SI module is only considered if a module with the technology "SI" is provided in
+``user_inputs/mvs_inputs/pvcompare_inputs/pv_setup.csv``
 
 
 Add a sensitivy to your simulations
diff --git a/docs/model_assumptions.rst b/docs/model_assumptions.rst
index 3807ab53..970abd01 100644
--- a/docs/model_assumptions.rst
+++ b/docs/model_assumptions.rst
@@ -98,6 +98,7 @@ unique models were developed for the CPV and PeroSi technologies. The next
 sections will provide a detailed description of the different modeling
 approaches.
 
+.. _si:
 1. SI
 -----
 The silicone module parameters are loaded from `cec module <https://github.com/NREL/SAM/tree/develop/deploy/libraries>`_ database. The module

From 10dd84344e0ff675b8e7f5dd3c0a79b782726f23 Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Wed, 26 May 2021 11:16:15 +0200
Subject: [PATCH 17/37] adapt doctring

---
 pvcompare/main.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pvcompare/main.py b/pvcompare/main.py
index 6065e7c3..bb4e9cee 100644
--- a/pvcompare/main.py
+++ b/pvcompare/main.py
@@ -121,7 +121,7 @@ def apply_pvcompare(
         "module_peak_power": >peak power of the module in kWp<, "surface_type": >surface_type for PV installation<],
         "PV2" : [...], ...}. If you want to consider more PV time series, more PV keys can be added.
         The PV time series itself needs to be be an normalized hourly time series in kW/kWp
-        (normalized by the peak power of the module). The facades can be one of: [
+        (normalized by the peak power of the module). The surface_types can be one of: [
             "flat_roof", "gable_roof", "south_facade", "east_facade", "west_facade"].
         Note that you need to add more specific PV parameters of your module (name, costs, lifetime etc.) in
         'user_inputs/mvs_inputs/csv_elements/energyProduction.csv'. The columns in energyProduction.csv

From a2c9983d05e1864deb68d5e46b2f8eb9fec18cae Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Wed, 26 May 2021 11:28:46 +0200
Subject: [PATCH 18/37] add energy system grapg to finish #165

---
 docs/basic_usage.rst | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/docs/basic_usage.rst b/docs/basic_usage.rst
index cc61fe6b..6896c4ca 100644
--- a/docs/basic_usage.rst
+++ b/docs/basic_usage.rst
@@ -12,6 +12,15 @@ Run a simulation
 You can easily run a simulation by executing one of the examples in `examples/ <https://github.com/greco-project/pvcompare/tree/master/examples>`_.
 There are three examples, one that accounts only for the electricity sector, one for sector coupling using heat pumps and one example covering heat demand with a gas plant as a reference scenario for the one with heat pumps.
 
+Here's an example energy system graph of a sector coupled scenario of the simulation provided in ``examples/run_pvcompare_example_sector_coupling.py``.
+
+.. figure:: ./images/basic_usage_energy_system_graph.png
+    :width: 100%
+    :alt: energy system graph.
+    :align: center
+
+    Energy system graph of an examplary sector coupled energy system.
+
 If you want to set up your own scenario, you need to insert input files into the directory first. How to do this is described in the next paragraph :ref:`define_params`.
 Afterwards you can run a simulation by running the file `run_pvcompare.py <https://github.com/greco-project/pvcompare/blob/master/run_pvcompare.py>`_ in the parent folder of *pvcompare*.
 In order to run a simulation you need to at least define the following parameters:

From 392adbe63aed86da37473a13082050eea8a8c8f9 Mon Sep 17 00:00:00 2001
From: Piranias <44803304+Piranias@users.noreply.github.com>
Date: Wed, 26 May 2021 11:29:50 +0200
Subject: [PATCH 19/37] Update pvcompare/main.py

Co-authored-by: Sabine Haas <sabine.haas@rl-institut.de>
---
 pvcompare/main.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pvcompare/main.py b/pvcompare/main.py
index bb4e9cee..e5865c73 100644
--- a/pvcompare/main.py
+++ b/pvcompare/main.py
@@ -109,7 +109,7 @@ def apply_pvcompare(
     add_electricity_demand: str or None
         Path to precalculated hourly electricity demand time series for one year (or the same period
         of a precalculated PV timeseries)
-        Note that that the demand is only considered is a column "Electricity demand" is added to
+        Note that that the demand is only considered if a column "Electricity demand" is added to
         'user_inputs/mvs_inputs/csv_elements/energyConsumption.csv'
     add_heat_demand: str or None
         Path to precalculated hourly heat demand time series for one year (or the same period

From d3603e8783382c3d3e3d17052fa00b4f6a9a69e2 Mon Sep 17 00:00:00 2001
From: Piranias <44803304+Piranias@users.noreply.github.com>
Date: Wed, 26 May 2021 11:29:57 +0200
Subject: [PATCH 20/37] Update pvcompare/main.py

Co-authored-by: Sabine Haas <sabine.haas@rl-institut.de>
---
 pvcompare/main.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pvcompare/main.py b/pvcompare/main.py
index e5865c73..6b5ac713 100644
--- a/pvcompare/main.py
+++ b/pvcompare/main.py
@@ -98,7 +98,7 @@ def apply_pvcompare(
         absolute and relative will be overwritten with calculated time series of fixed thermal
         losses relative and absolute.
     add_weather_data: str or None
-        Path to hourly csv weather time series with columns: [time, latitude, longitude
+        Path to csv containing hourly weather time series with columns: [time, latitude, longitude
         ,ghi, wind_speed, temp_air, precipitable_water, dni, dhi]
         Default: None. If None, the ERA5 data is used instead.
     add_sam_si_module: dict or None

From bbcbe6d0f7742aaf1e638baded26383d387b0768 Mon Sep 17 00:00:00 2001
From: Piranias <44803304+Piranias@users.noreply.github.com>
Date: Fri, 28 May 2021 11:48:21 +0200
Subject: [PATCH 21/37] Update CHANGELOG.md

Co-authored-by: Sabine Haas <sabine.haas@rl-institut.de>
---
 CHANGELOG.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index f4a8adad..6b623448 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -30,7 +30,7 @@ Here is a template for new release sections
 - Add info on energy systems consisting of more than one node in RTD section "scope and limitations" (#293)
 - Added description of the implementation of the stratified thermal storage in pvcompare with a description of the possibilities modeling it (#291)
 - Dokumentation: Update on 'basic_usage', 'parameter description' and 'model assumptions' (#302)
-- Usability: allow the user to provide their own weather data, demand time series, pv time series and SAM SI modules (#317)
+- Improved usability: allow the user to provide their own weather data, demand time series, pv time series and SAM SI modules (#317)
 
 ### Changed
 - The inlet temperatures of the heat pump and the stratified thermal storage have been revised in the pvcompare input parameters, adapting them in order to fit typical temperatures of the heating system. Also the pvcompare input parameters of the stratified thermal storage have been revised (#272)

From d44bca4b5e17478a345ddac15fb77dc7108e1409 Mon Sep 17 00:00:00 2001
From: Piranias <44803304+Piranias@users.noreply.github.com>
Date: Fri, 28 May 2021 11:48:36 +0200
Subject: [PATCH 22/37] Update docs/basic_usage.rst

Co-authored-by: Sabine Haas <sabine.haas@rl-institut.de>
---
 docs/basic_usage.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/basic_usage.rst b/docs/basic_usage.rst
index 6896c4ca..0a755bc4 100644
--- a/docs/basic_usage.rst
+++ b/docs/basic_usage.rst
@@ -89,7 +89,7 @@ Two example weather years for Berlin, Germany, 2017 and Madrid, Spain, 2017 are
 Provide your own input time series
 ==================================
 
-*pvcompare* provides functionalities to automatically download weather data ad well as calculate demand and pv time series.
+*pvcompare* provides functionalities to automatically download weather data as well as calculate demand and PV time series.
 If you want to use your own input time series, you
 can do so by defining them in the :py:func:`~.main.apply_pvcompare` function. The followning section gives you an overwiew
 on how to provide your time series.

From 07ac732c55a818702689b87745ab68afce36ef6e Mon Sep 17 00:00:00 2001
From: Piranias <44803304+Piranias@users.noreply.github.com>
Date: Fri, 28 May 2021 11:48:58 +0200
Subject: [PATCH 23/37] Update docs/basic_usage.rst

Co-authored-by: Sabine Haas <sabine.haas@rl-institut.de>
---
 docs/basic_usage.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/basic_usage.rst b/docs/basic_usage.rst
index 0a755bc4..9b90b74a 100644
--- a/docs/basic_usage.rst
+++ b/docs/basic_usage.rst
@@ -91,7 +91,7 @@ Provide your own input time series
 
 *pvcompare* provides functionalities to automatically download weather data as well as calculate demand and PV time series.
 If you want to use your own input time series, you
-can do so by defining them in the :py:func:`~.main.apply_pvcompare` function. The followning section gives you an overwiew
+can do so by defining them in the :py:func:`~.main.apply_pvcompare` function. The following section gives you an overview
 on how to provide your time series.
 
 **Weather data**

From 6a7f11eba75554b801f6dd16c486898078431c7f Mon Sep 17 00:00:00 2001
From: Piranias <44803304+Piranias@users.noreply.github.com>
Date: Fri, 28 May 2021 11:50:31 +0200
Subject: [PATCH 24/37] Update docs/basic_usage.rst

Co-authored-by: Sabine Haas <sabine.haas@rl-institut.de>
---
 docs/basic_usage.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/basic_usage.rst b/docs/basic_usage.rst
index 9b90b74a..32031f95 100644
--- a/docs/basic_usage.rst
+++ b/docs/basic_usage.rst
@@ -98,7 +98,7 @@ on how to provide your time series.
 
 In oder to provide your own weather data, you need to insert the path
 to your weather file to the parameter ``add_weather_data`` in the :py:func:`~.main.apply_pvcompare` function. The file
-should contain an hourly time series in *csv* format with the columns: [time, latitude, longitude
+should be a csv file with the columns: [time, latitude, longitude,
 ,ghi, dni, dhi, wind_speed, temp_air, precipitable_water].
 
 You can also download ERA5 data yourself. `oemof feedinlib <https://feedinlib.readthedocs.io/en/releases-0.1.0/load_era5_weather_data.html>`_ provides a jupyter notebook with instructions on how to download data for a single coordinate or a region.

From d2dd2c4103a64be8c57659d8c9ba550bd6adeac4 Mon Sep 17 00:00:00 2001
From: Piranias <44803304+Piranias@users.noreply.github.com>
Date: Fri, 28 May 2021 11:50:43 +0200
Subject: [PATCH 25/37] Update docs/basic_usage.rst

Co-authored-by: Sabine Haas <sabine.haas@rl-institut.de>
---
 docs/basic_usage.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/basic_usage.rst b/docs/basic_usage.rst
index 32031f95..d9cb0e1d 100644
--- a/docs/basic_usage.rst
+++ b/docs/basic_usage.rst
@@ -99,7 +99,7 @@ on how to provide your time series.
 In oder to provide your own weather data, you need to insert the path
 to your weather file to the parameter ``add_weather_data`` in the :py:func:`~.main.apply_pvcompare` function. The file
 should be a csv file with the columns: [time, latitude, longitude,
-,ghi, dni, dhi, wind_speed, temp_air, precipitable_water].
+ghi, dni, dhi, wind_speed, temp_air, precipitable_water] and contain hourly time series.
 
 You can also download ERA5 data yourself. `oemof feedinlib <https://feedinlib.readthedocs.io/en/releases-0.1.0/load_era5_weather_data.html>`_ provides a jupyter notebook with instructions on how to download data for a single coordinate or a region.
 

From 809c09ad31d990d4676cf9e46fd6a96b9591f638 Mon Sep 17 00:00:00 2001
From: Piranias <44803304+Piranias@users.noreply.github.com>
Date: Fri, 28 May 2021 11:50:49 +0200
Subject: [PATCH 26/37] Update pvcompare/pv_feedin.py

Co-authored-by: Sabine Haas <sabine.haas@rl-institut.de>
---
 pvcompare/pv_feedin.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pvcompare/pv_feedin.py b/pvcompare/pv_feedin.py
index e105bc8c..0f935319 100644
--- a/pvcompare/pv_feedin.py
+++ b/pvcompare/pv_feedin.py
@@ -766,7 +766,7 @@ def add_pv_timeseries(
         as  user_inputs_pvcompare_directory.
         Default: None.
 
-    Return
+    Returns
     -------
         None
     """

From fc6615dc9a13938068a037cbf3e1e0f63adb1d33 Mon Sep 17 00:00:00 2001
From: Piranias <44803304+Piranias@users.noreply.github.com>
Date: Fri, 28 May 2021 11:50:55 +0200
Subject: [PATCH 27/37] Update pvcompare/pv_feedin.py

Co-authored-by: Sabine Haas <sabine.haas@rl-institut.de>
---
 pvcompare/pv_feedin.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pvcompare/pv_feedin.py b/pvcompare/pv_feedin.py
index 0f935319..8e4a0069 100644
--- a/pvcompare/pv_feedin.py
+++ b/pvcompare/pv_feedin.py
@@ -776,7 +776,7 @@ def add_pv_timeseries(
         if not os.path.isfile(add_pv_timeseries[key]["filename"]):
             logging.error(
                 "The PV time series you have specified does not exist. "
-                "Please check your input or set 'add_pv_timeseries' to None "
+                "Please check your input or set `add_pv_timeseries` to None "
                 "in order to use the default pvcompare methods."
             )
             return

From 141c2215603efca32692830945b4950f3f2dda76 Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Fri, 28 May 2021 11:57:13 +0200
Subject: [PATCH 28/37] fix heat demand if file does not exist

---
 pvcompare/demand.py | 21 +++++++++++++++++++++
 1 file changed, 21 insertions(+)

diff --git a/pvcompare/demand.py b/pvcompare/demand.py
index 52557ada..ccb713f8 100644
--- a/pvcompare/demand.py
+++ b/pvcompare/demand.py
@@ -131,6 +131,18 @@ def calculate_load_profiles(
                             " thus calculated according to the default"
                             " method of pvcompare."
                         )
+                        calculate_heat_demand(
+                            country=country,
+                            lat=lat,
+                            lon=lon,
+                            storeys=storeys,
+                            year=year,
+                            weather=weather,
+                            static_inputs_directory=static_inputs_directory,
+                            user_inputs_pvcompare_directory=user_inputs_pvcompare_directory,
+                            user_inputs_mvs_directory=user_inputs_mvs_directory,
+                            column=column,
+                        )
                 else:
                     calculate_heat_demand(
                         country=country,
@@ -163,6 +175,15 @@ def calculate_load_profiles(
                             " thus calculated according to the default"
                             " method of pvcompare."
                         )
+                        calculate_power_demand(
+                            country=country,
+                            storeys=storeys,
+                            year=year,
+                            static_inputs_directory=static_inputs_directory,
+                            user_inputs_pvcompare_directory=user_inputs_pvcompare_directory,
+                            user_inputs_mvs_directory=user_inputs_mvs_directory,
+                            column=column,
+                        )
                 else:
                     calculate_power_demand(
                         country=country,

From c3524fc210b22ffb84681351a9ea5295d1006664 Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Fri, 28 May 2021 11:57:52 +0200
Subject: [PATCH 29/37] add energy system graph

---
 docs/images/energy_system_graph.png | Bin 0 -> 88377 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 docs/images/energy_system_graph.png

diff --git a/docs/images/energy_system_graph.png b/docs/images/energy_system_graph.png
new file mode 100644
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HcmV?d00001


From e932149a5bb5482a74eddab3caedb0133bfd891c Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Fri, 28 May 2021 11:59:26 +0200
Subject: [PATCH 30/37] update name of graph

---
 docs/basic_usage.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/basic_usage.rst b/docs/basic_usage.rst
index d9cb0e1d..b2b8cad3 100644
--- a/docs/basic_usage.rst
+++ b/docs/basic_usage.rst
@@ -14,7 +14,7 @@ There are three examples, one that accounts only for the electricity sector, one
 
 Here's an example energy system graph of a sector coupled scenario of the simulation provided in ``examples/run_pvcompare_example_sector_coupling.py``.
 
-.. figure:: ./images/basic_usage_energy_system_graph.png
+.. figure:: ./images/energy_system_graph.png
     :width: 100%
     :alt: energy system graph.
     :align: center

From 2b822518a06fe239faf34982fca92b99f2d90686 Mon Sep 17 00:00:00 2001
From: Piranias <44803304+Piranias@users.noreply.github.com>
Date: Fri, 28 May 2021 12:00:26 +0200
Subject: [PATCH 31/37] Update docs/basic_usage.rst

Co-authored-by: Sabine Haas <sabine.haas@rl-institut.de>
---
 docs/basic_usage.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/basic_usage.rst b/docs/basic_usage.rst
index b2b8cad3..16d3c47c 100644
--- a/docs/basic_usage.rst
+++ b/docs/basic_usage.rst
@@ -101,7 +101,7 @@ to your weather file to the parameter ``add_weather_data`` in the :py:func:`~.ma
 should be a csv file with the columns: [time, latitude, longitude,
 ghi, dni, dhi, wind_speed, temp_air, precipitable_water] and contain hourly time series.
 
-You can also download ERA5 data yourself. `oemof feedinlib <https://feedinlib.readthedocs.io/en/releases-0.1.0/load_era5_weather_data.html>`_ provides a jupyter notebook with instructions on how to download data for a single coordinate or a region.
+You can also download ERA5 weather data yourself. `oemof feedinlib <https://feedinlib.readthedocs.io/en/releases-0.1.0/load_era5_weather_data.html>`_ provides a jupyter notebook with instructions on how to download data for a single coordinate or a region.
 
 **Demand time series**
 

From 972b697608f04057b45f4ff885ecfaf29c24daf6 Mon Sep 17 00:00:00 2001
From: Piranias <44803304+Piranias@users.noreply.github.com>
Date: Fri, 28 May 2021 12:00:45 +0200
Subject: [PATCH 32/37] Update docs/basic_usage.rst

Co-authored-by: Sabine Haas <sabine.haas@rl-institut.de>
---
 docs/basic_usage.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/basic_usage.rst b/docs/basic_usage.rst
index 16d3c47c..a55d67a3 100644
--- a/docs/basic_usage.rst
+++ b/docs/basic_usage.rst
@@ -105,7 +105,7 @@ You can also download ERA5 weather data yourself. `oemof feedinlib <https://feed
 
 **Demand time series**
 
-In order to add your own heat and/or electricity time series add the path to the file to ``add_electricity_demand`` or ``add_heat_demand``
+In order to add your own heat and/or electricity demand time series provide the path to the file(s) with ``add_electricity_demand`` and/or ``add_heat_demand``
 in :py:func:`~.main.apply_pvcompare`. Note that the respective demand is only considered, if a column "Electricity demand" or "Heat demand"
 exists in ``data/user_inputs/mvs_inputs/csv_elements/energyConsumption.csv``.
 The demand time series should be given as an hourly time series in kW.

From 8e959fe296edf639c72b215aa298b175334c8f05 Mon Sep 17 00:00:00 2001
From: Piranias <44803304+Piranias@users.noreply.github.com>
Date: Fri, 28 May 2021 12:08:15 +0200
Subject: [PATCH 33/37] Apply suggestions from code review

Co-authored-by: Sabine Haas <sabine.haas@rl-institut.de>
---
 docs/basic_usage.rst       | 27 +++++++++++++++------------
 docs/model_assumptions.rst |  1 +
 pvcompare/main.py          |  2 +-
 pvcompare/pv_feedin.py     | 22 ++++++++++++----------
 4 files changed, 29 insertions(+), 23 deletions(-)

diff --git a/docs/basic_usage.rst b/docs/basic_usage.rst
index a55d67a3..6f6e3126 100644
--- a/docs/basic_usage.rst
+++ b/docs/basic_usage.rst
@@ -106,30 +106,33 @@ You can also download ERA5 weather data yourself. `oemof feedinlib <https://feed
 **Demand time series**
 
 In order to add your own heat and/or electricity demand time series provide the path to the file(s) with ``add_electricity_demand`` and/or ``add_heat_demand``
-in :py:func:`~.main.apply_pvcompare`. Note that the respective demand is only considered, if a column "Electricity demand" or "Heat demand"
-exists in ``data/user_inputs/mvs_inputs/csv_elements/energyConsumption.csv``.
-The demand time series should be given as an hourly time series in kW.
+in :py:func:`~.main.apply_pvcompare`. Note that the respective demand is only considered, if you add a column with the ``energy_vector`` "Heat" or "Electricity"
+to ``energyConsumption.csv`` in ``user_inputs_mvs_directory/csv_elements``.
+To match the unit of calculated time series (e.g. of PV production), the demand time series should be given as an hourly time series in kW.
 
-**PV time series**
+**PV generation time series**
 
-You can add your own PV time series by defining ``add_pv_timeseries`` in :py:func:`~.main.apply_pvcompare`.
+You can add your own PV generation time series by defining ``add_pv_timeseries`` in :py:func:`~.main.apply_pvcompare`.
 Instead of just providing the path to the file, you need to define a dictionary with additional information
 on the PV module you are considering, in order to allow the calculation of the area potential for your module.
 The dictionary should be given as follows:
+.. code-block:: python
+
     {"PV1" : ["filename": >path_to_time_series< , "module_size": >module_size in m²<,
     "module_peak_power": >peak power of the module in kWp<, "surface_type": >surface_type for PV installation<],
     "PV2" : [...], ...}
+    
 You can add more than one module time series by defining more PV-keys.
-The PV time series itself needs to be be an normalized hourly time series in kW/kWp
-(normalized by the peak power of the module). The surface_types can be one of: [
+The PV time series itself needs to be a normalized hourly time series in kW/kWp
+(normalized by the peak power of the module). The surface_type can be one of: [
 "flat_roof", "gable_roof", "south_facade", "east_facade", "west_facade"].
 
 Note that you need to add more specific PV parameters of your module (name, costs, lifetime etc.) in
-``user_inputs/mvs_inputs/csv_elements/energyProduction.csv``. The columns in ``energyProduction.csv``
-should be named "PV"+ key (e.g. "PV SI1") if your key is "SI1".
+``user_inputs_mvs_directory/csv_elements/energyProduction.csv``. The columns in ``energyProduction.csv``
+should be named "PV"+ key (e.g. "PV SI1" if your key is "SI1").
 
 When providing your own time series, ``overwrite_pv_parameters`` in :py:func:`~.main.apply_pvcompare` should be
-set to false. When ``add_pv_timeseries`` is used, the ``pv_setup.csv`` is disregarded.
+set to ``False``. When ``add_pv_timeseries`` is used, the ``pv_setup.csv`` is disregarded.
 
 **Add a different SI module**
 
@@ -138,10 +141,10 @@ But you can add another module from sandia or cec `libraries <https://github.com
 
 To do so, you need to define the parameter ``add_sam_si_module`` in :py:func:`~.main.apply_pvcompare`.
 You should define a dictionary with the library ("CECMod"  or "SandiaMod") as key and module name as value.
-E.g. {"cecmod":"Canadian_Solar_Inc__CS5P_220M"}.
+E.g. ``{"cecmod": "Canadian_Solar_Inc__CS5P_220M"}``.
 
 Note that the SI module is only considered if a module with the technology "SI" is provided in
-``user_inputs/mvs_inputs/pvcompare_inputs/pv_setup.csv``
+``user_inputs_pvcompare_directory/pv_setup.csv``
 
 
 Add a sensitivy to your simulations
diff --git a/docs/model_assumptions.rst b/docs/model_assumptions.rst
index 970abd01..a28ce493 100644
--- a/docs/model_assumptions.rst
+++ b/docs/model_assumptions.rst
@@ -99,6 +99,7 @@ sections will provide a detailed description of the different modeling
 approaches.
 
 .. _si:
+
 1. SI
 -----
 The silicone module parameters are loaded from `cec module <https://github.com/NREL/SAM/tree/develop/deploy/libraries>`_ database. The module
diff --git a/pvcompare/main.py b/pvcompare/main.py
index 6b5ac713..30a9390d 100644
--- a/pvcompare/main.py
+++ b/pvcompare/main.py
@@ -183,7 +183,7 @@ def apply_pvcompare(
     # add datetimeindex
     weather.index = pd.to_datetime(weather.index)
 
-    # check if add_pv_time_series is True
+    # check if add_pv_time_series is provided
     if add_pv_timeseries is not None:
         pv_feedin.add_pv_timeseries(
             add_pv_timeseries=add_pv_timeseries,
diff --git a/pvcompare/pv_feedin.py b/pvcompare/pv_feedin.py
index 8e4a0069..92db3962 100644
--- a/pvcompare/pv_feedin.py
+++ b/pvcompare/pv_feedin.py
@@ -98,8 +98,8 @@ def create_pv_components(
         If True: Time series is normalized. Otherwise absolute time series is
         returned. Default: True.
     add_sam_si_module: dict
-        with library (’CECMod’  or "SandiaMod") as key and module name as value.
-        E.g. {"cecmod":'Canadian_Solar_Inc__CS5P_220M'}
+        Dictionary with library ("CECMod"  or "SandiaMod") as key and module name as value.
+        E.g. {"cecmod": "Canadian_Solar_Inc__CS5P_220M"}
 
     Returns
     -------
@@ -316,8 +316,8 @@ def set_up_system(technology, surface_azimuth, surface_tilt, add_sam_si_module=N
         surface azimuth of the module
     surface_tilt: float
         surface tilt of the module
-        Dictionary with library (’CECMod’  or "SandiaMod") as key and module name as value.
-        E.g. {"cecmod":'Canadian_Solar_Inc__CS5P_220M'}.
+        Dictionary with library ("CECMod"  or "SandiaMod") as key and module name as value.
+        E.g. {"cecmod": "Canadian_Solar_Inc__CS5P_220M"}.
         Note that the SI module is only considered if there is the technology "SI" in
 
     Returns
@@ -413,8 +413,8 @@ def create_si_time_series(
         If True: Time series is normalized. Otherwise absolute time series is
         returned.
     add_sam_si_module: dict
-        Dictionary with library (’CECMod’  or "SandiaMod") as key and module name as value.
-        E.g. {"cecmod":'Canadian_Solar_Inc__CS5P_220M'}.
+        Dictionary with library ("CECMod"  or "SandiaMod") as key and module name as value.
+        E.g. {"cecmod": "Canadian_Solar_Inc__CS5P_220M"}.
         Note that the SI module is only considered if there is the technology "SI" in
 
     Returns
@@ -635,8 +635,8 @@ def nominal_values_pv(
     surface_tilt: float
         surface tilt of the modules
     add_sam_si_module: dict or None
-        Dictionary with library (’CECMod’  or "SandiaMod") as key and module name as value.
-        E.g. {"cecmod":'Canadian_Solar_Inc__CS5P_220M'}.
+        Dictionary with library ("CECMod"  or "SandiaMod") as key and module name as value.
+        E.g. {"cecmod": "Canadian_Solar_Inc__CS5P_220M"}.
         Note that the SI module is only considered if there is the technology "SI" in
 
     Returns
@@ -737,9 +737,11 @@ def add_pv_timeseries(
     user_inputs_mvs_directory,
     user_inputs_pvcompare_directory,
 ):
-    """
+    r"""
+    Adds PV time series of user to the simulations inputs.
+    
     This function calculates the maximal capacity and inserts the time series filename
-    and the maximum capacity into 'user_inputs/mvs_inputs/csv_elements/energyProduction.csv'.
+    and the maximum capacity into 'user_inputs_mvs_directory/csv_elements/energyProduction.csv'.
 
     Parameter
     ----------

From 4a9d7d783c5ee03b125cd1545449659961678708 Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Fri, 28 May 2021 12:22:44 +0200
Subject: [PATCH 34/37] update docstrings

---
 pvcompare/demand.py    |  8 ++++----
 pvcompare/main.py      | 20 ++++++++++----------
 pvcompare/pv_feedin.py | 24 +++++++++++++-----------
 3 files changed, 27 insertions(+), 25 deletions(-)

diff --git a/pvcompare/demand.py b/pvcompare/demand.py
index ccb713f8..130968e0 100644
--- a/pvcompare/demand.py
+++ b/pvcompare/demand.py
@@ -83,12 +83,12 @@ def calculate_load_profiles(
         Default: None.
     user_inputs_mvs_directory : str or None
         Path to mvs input directory. If None: DEFAULT_USER_INPUTS_MVS_DIRECTORY. Default: None.
-    add_electricity_demand: str
+    add_electricity_demand: str or None
         Path to precalculated hourly electricity demand time series for one year (or the same period
-        of a precalculated PV timeseries)
-    add_heat_demand: str
+        of a precalculated PV timeseries). Default: None.
+    add_heat_demand: str or None
         Path to precalculated hourly heat demand time series for one year (or the same period
-        of a precalculated PV timeseries)
+        of a precalculated PV timeseries). Default: None.
 
     Returns
     ------
diff --git a/pvcompare/main.py b/pvcompare/main.py
index 30a9390d..3f161976 100644
--- a/pvcompare/main.py
+++ b/pvcompare/main.py
@@ -108,26 +108,26 @@ def apply_pvcompare(
         'user_inputs/mvs_inputs/pvcompare_inputs/pv_setup.csv'
     add_electricity_demand: str or None
         Path to precalculated hourly electricity demand time series for one year (or the same period
-        of a precalculated PV timeseries)
+        of a precalculated PV timeseries). Default: None
         Note that that the demand is only considered if a column "Electricity demand" is added to
         'user_inputs/mvs_inputs/csv_elements/energyConsumption.csv'
     add_heat_demand: str or None
         Path to precalculated hourly heat demand time series for one year (or the same period
-        of a precalculated PV timeseries)
+        of a precalculated PV timeseries). Default: None
         Note that that the demand is only considered is a column "Heat demand" is added to
         'user_inputs/mvs_inputs/csv_elements/energyConsumption.csv'
     add_pv_timeseries: dict or None
         Dictionary with {"PV1" : ["filename": >path_to_time_series< , "module_size": >module_size in m²<,
         "module_peak_power": >peak power of the module in kWp<, "surface_type": >surface_type for PV installation<],
-        "PV2" : [...], ...}. If you want to consider more PV time series, more PV keys can be added.
-        The PV time series itself needs to be be an normalized hourly time series in kW/kWp
-        (normalized by the peak power of the module). The surface_types can be one of: [
-            "flat_roof", "gable_roof", "south_facade", "east_facade", "west_facade"].
+        "PV2" : [...], ...}. You can add more than one module time series by defining more PV-keys.
+        The PV time series itself needs to be a normalized hourly time series in kW/kWp
+        (normalized by the peak power of the module). The surface_type can be one of: [
+        "flat_roof", "gable_roof", "south_facade", "east_facade", "west_facade"].
         Note that you need to add more specific PV parameters of your module (name, costs, lifetime etc.) in
-        'user_inputs/mvs_inputs/csv_elements/energyProduction.csv'. The columns in energyProduction.csv
-        should be named "PV"+ key (e.g. "PV SI1")
-         When providing your own time series, overwrite_pv_parameters should be
-        set to false. When add_pv_timeseries is used, the pv_setup.csv is disregarded.
+        ``user_inputs_mvs_directory/csv_elements/energyProduction.csv``. The columns in ``energyProduction.csv``
+        should be named "PV"+ key (e.g. "PV SI1" if your key is "SI1").
+        When providing your own time series, ``overwrite_pv_parameters`` in :py:func:`~.main.apply_pvcompare` should be
+        set to ``False``. When ``add_pv_timeseries`` is used, the ``pv_setup.csv`` is disregarded.
 
     Returns
     -------
diff --git a/pvcompare/pv_feedin.py b/pvcompare/pv_feedin.py
index 92db3962..a763f5ad 100644
--- a/pvcompare/pv_feedin.py
+++ b/pvcompare/pv_feedin.py
@@ -99,7 +99,7 @@ def create_pv_components(
         returned. Default: True.
     add_sam_si_module: dict
         Dictionary with library ("CECMod"  or "SandiaMod") as key and module name as value.
-        E.g. {"cecmod": "Canadian_Solar_Inc__CS5P_220M"}
+        E.g. {"cecmod": "Canadian_Solar_Inc__CS5P_220M"}.
 
     Returns
     -------
@@ -319,6 +319,9 @@ def set_up_system(technology, surface_azimuth, surface_tilt, add_sam_si_module=N
         Dictionary with library ("CECMod"  or "SandiaMod") as key and module name as value.
         E.g. {"cecmod": "Canadian_Solar_Inc__CS5P_220M"}.
         Note that the SI module is only considered if there is the technology "SI" in
+    add_sam_si_module: dict
+        Dictionary with library ("CECMod"  or "SandiaMod") as key and module name as value.
+        E.g. {"cecmod": "Canadian_Solar_Inc__CS5P_220M"}.
 
     Returns
     -------
@@ -415,7 +418,6 @@ def create_si_time_series(
     add_sam_si_module: dict
         Dictionary with library ("CECMod"  or "SandiaMod") as key and module name as value.
         E.g. {"cecmod": "Canadian_Solar_Inc__CS5P_220M"}.
-        Note that the SI module is only considered if there is the technology "SI" in
 
     Returns
     -------
@@ -740,7 +742,7 @@ def add_pv_timeseries(
     r"""
     Adds PV time series of user to the simulations inputs.
     
-    This function calculates the maximal capacity and inserts the time series filename
+    This function calculates the maximum capacity and inserts the time series filename
     and the maximum capacity into 'user_inputs_mvs_directory/csv_elements/energyProduction.csv'.
 
     Parameter
@@ -748,15 +750,15 @@ def add_pv_timeseries(
     add_pv_timeseries: dict or None
         Dictionary with {"PV1" : ["filename": >path_to_time_series< , "module_size": >module_size in m²<,
         "module_peak_power": >peak power of the module in kWp<, "surface_type": >surface_type for PV installation<],
-        "PV2" : [...], ...}. If you want to consider more PV time series, more PV keys can be added.
-        The PV time series itself needs to be be an normalized hourly time series in kW/kWp
-        (normalized by the peak power of the module). The facades can be one of: [
-            "flat_roof", "gable_roof", "south_facade", "east_facade", "west_facade"].
+        "PV2" : [...], ...}. You can add more than one module time series by defining more PV-keys.
+        The PV time series itself needs to be a normalized hourly time series in kW/kWp
+        (normalized by the peak power of the module). The surface_type can be one of: [
+        "flat_roof", "gable_roof", "south_facade", "east_facade", "west_facade"].
         Note that you need to add more specific PV parameters of your module (name, costs, lifetime etc.) in
-        'user_inputs/mvs_inputs/csv_elements/energyProduction.csv'. The columns in energyProduction.csv
-        should be named "PV"+ key (e.g. "PV SI1")
-         When providing your own time series, overwrite_pv_parameters should be
-        set to false. When add_pv_timeseries is used, the pv_setup.csv is disregarded.
+        ``user_inputs_mvs_directory/csv_elements/energyProduction.csv``. The columns in ``energyProduction.csv``
+        should be named "PV"+ key (e.g. "PV SI1" if your key is "SI1").
+        When providing your own time series, ``overwrite_pv_parameters`` in :py:func:`~.main.apply_pvcompare` should be
+        set to ``False``. When ``add_pv_timeseries`` is used, the ``pv_setup.csv`` is disregarded.
     storeys: int
         number of storeys for which the demand is calculated.
     user_inputs_mvs_directory: str or None

From c3c77426130bd0b5712bd7cf937d6bfde3e1a3ae Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Fri, 28 May 2021 15:38:40 +0200
Subject: [PATCH 35/37] remove dots

---
 docs/model_assumptions.rst | 2 --
 1 file changed, 2 deletions(-)

diff --git a/docs/model_assumptions.rst b/docs/model_assumptions.rst
index a28ce493..882e9daf 100644
--- a/docs/model_assumptions.rst
+++ b/docs/model_assumptions.rst
@@ -175,8 +175,6 @@ The utilization factors are defined as follows:
     :width: 60%
     :align: center
 
-    ".."
-
 The overall model for the hybrid system is illustrated in the next figure.
 
 

From 50a924209919323f71e3baadca52a216a6c50f26 Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Fri, 28 May 2021 16:23:19 +0200
Subject: [PATCH 36/37] fix raise error and further tests

---
 pvcompare/pv_feedin.py |  2 +-
 tests/test_main.py     | 71 ++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 72 insertions(+), 1 deletion(-)

diff --git a/pvcompare/pv_feedin.py b/pvcompare/pv_feedin.py
index a763f5ad..8dec6aab 100644
--- a/pvcompare/pv_feedin.py
+++ b/pvcompare/pv_feedin.py
@@ -778,7 +778,7 @@ def add_pv_timeseries(
     for key in add_pv_timeseries.keys():
         # check if PV timeseries exists
         if not os.path.isfile(add_pv_timeseries[key]["filename"]):
-            logging.error(
+            raise ValueError(
                 "The PV time series you have specified does not exist. "
                 "Please check your input or set `add_pv_timeseries` to None "
                 "in order to use the default pvcompare methods."
diff --git a/tests/test_main.py b/tests/test_main.py
index 6d215da8..d459042c 100644
--- a/tests/test_main.py
+++ b/tests/test_main.py
@@ -161,6 +161,47 @@ def test_apply_pvcompare_add_demands(self):
             == filename_electricity_demand
         )
 
+    def test_apply_pvcompare_add_demand_does_not_exist(self):
+        # delete file
+        directory = os.path.join(self.user_inputs_mvs_directory, "time_series")
+        filelist = glob.glob(os.path.join(directory, "*.csv"))
+        for f in filelist:
+            os.remove(f)
+
+        filename_electricity_demand = os.path.join(
+            self.user_inputs_mvs_directory, "predefined_time_series/not_available.csv",
+        )
+
+        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,
+            add_heat_demand=None,
+            add_electricity_demand=filename_electricity_demand,
+        )
+
+        energyConsumption = pd.read_csv(
+            os.path.join(
+                self.user_inputs_mvs_directory, "csv_elements/energyConsumption.csv"
+            ),
+            index_col=0,
+            header=0,
+        )
+        assert (
+            energyConsumption.at["file_name", "Electricity demand"]
+            == "electricity_load_2017_Germany_5.csv"
+        )
+
     def test_apply_pvcompare_add_pv_timeseries(self):
 
         filename_pv_timeseries = os.path.join(
@@ -201,6 +242,36 @@ def test_apply_pvcompare_add_pv_timeseries(self):
         )
         assert energyProduction.at["file_name", "PV si"] == filename_pv_timeseries
 
+    def test_apply_pvcompare_add_pv_timeseries_does_not_exist(self):
+        filename_pv_timeseries = os.path.join(
+            self.user_inputs_mvs_directory, "predefined_time_series/not_available.csv",
+        )
+
+        with pytest.raises(ValueError):
+            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=False,
+                add_pv_timeseries={
+                    "si": {
+                        "filename": filename_pv_timeseries,
+                        "module_size": 1,
+                        "module_peak_power": 50,
+                        "surface_type": "flat_roof",
+                    }
+                },
+            )
+
     def test_apply_pvcompare_add_sam_si_module(self):
 
         main.apply_pvcompare(

From b6cc63313ff57d9b4326f9ba3adb1b7fb82c13e6 Mon Sep 17 00:00:00 2001
From: Piranias <inia.steinbach@rl-institut.de>
Date: Sun, 30 May 2021 17:19:22 +0200
Subject: [PATCH 37/37] apply black

---
 pvcompare/pv_feedin.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/pvcompare/pv_feedin.py b/pvcompare/pv_feedin.py
index a30c7fac..2837d4ff 100644
--- a/pvcompare/pv_feedin.py
+++ b/pvcompare/pv_feedin.py
@@ -617,7 +617,6 @@ def create_psi_time_series(
         return (output / peak).clip(0)
 
 
-
 def nominal_values_pv(
     technology, area, surface_azimuth, surface_tilt, psi_type, add_sam_si_module=None
 ):