def test_assign_by_fuel_tech_p():
"""
"""
path_main = resource_filename(Requirement.parse("energy_demand"),
'config_data')
# Load data
data = {}
data['paths'] = data_loader.load_paths(path_main)
data['lookups'] = lookup_tables.basic_lookups()
data['enduses'], data['sectors'], data['fuels'] = data_loader.load_fuels(
data['paths'], data['lookups'])
data['local_paths'] = data_loader.load_local_paths(path_main)
#Load assumptions
base_yr = 2015
data['assumptions'] = non_param_assumptions.Assumptions(
base_yr=base_yr,
curr_yr=None,
simulated_yrs=None,
paths=data['paths'],
enduses=data['enduses'],
sectors=data['sectors'],
fueltypes=data['lookups']['fueltypes'],
fueltypes_nr=data['lookups']['fueltypes_nr'])
param_assumptions.load_param_assump(data['paths'], data['local_paths'],
data['assumptions'])
rs_fuel_tech_p_by, ss_fuel_tech_p_by, is_fuel_tech_p_by = assumptions_fuel_shares.assign_by_fuel_tech_p(
data['enduses'], data['sectors'], data['lookups']['fueltypes'],
data['lookups']['fueltypes_nr'])
def test_load_non_param_assump():
"""
"""
path_main = resource_filename(Requirement.parse("energy_demand"), "config_data")
# Load data
data = {}
paths = data_loader.load_paths(path_main)
lu = lookup_tables.basic_lookups()
enduses, sectors, _ = data_loader.load_fuels(paths, lu)
non_param_assumptions.Assumptions(
base_yr=2015,
curr_yr=None,
simulated_yrs=None,
paths=paths,
enduses=enduses,
sectors=sectors,
fueltypes=lu['fueltypes'],
fueltypes_nr=lu['fueltypes_nr'])
def post_install_setup(args):
"""Run this function after installing the energy_demand
model with smif and putting the data folder with all necessary
data into a local drive. This scripts only needs to be
executed once after the energy_demand model has been installed
Arguments
----------
args : object
Arguments defined in ``./cli/__init__.py``
"""
print("... start running initialisation scripts")
# Paths
path_main = resource_filename(Requirement.parse("energy_demand"), "config_data")
path_results = resource_filename(Requirement.parse("energy_demand"), "results")
local_data_path = args.local_data
# Initialise logger
logger_setup.set_up_logger(
os.path.join(local_data_path, "logging_post_install_setup.log"))
logging.info("... start local energy demand calculations")
# Load data
base_yr = 2015
data = {}
data['paths'] = data_loader.load_paths(path_main)
data['local_paths'] = data_loader.load_local_paths(local_data_path)
data['result_paths'] = data_loader.load_result_paths(path_results)
data['lookups'] = lookup_tables.basic_lookups()
data['enduses'], data['sectors'], data['fuels'] = data_loader.load_fuels(
data['paths'], data['lookups'])
# Assumptions
data['assumptions'] = non_param_assumptions.Assumptions(
base_yr=base_yr,
paths=data['paths'],
enduses=data['enduses'],
sectors=data['sectors'],
fueltypes=data['lookups']['fueltypes'],
fueltypes_nr=data['lookups']['fueltypes_nr'])
# Delete all previous data from previous model runs
basic_functions.del_previous_setup(data['local_paths']['data_processed'])
basic_functions.del_previous_setup(data['result_paths']['data_results'])
# Create folders and subfolder for data_processed
basic_functions.create_folder(data['local_paths']['data_processed'])
basic_functions.create_folder(data['local_paths']['path_post_installation_data'])
basic_functions.create_folder(data['local_paths']['dir_raw_weather_data'])
basic_functions.create_folder(data['local_paths']['dir_changed_weather_station_data'])
basic_functions.create_folder(data['local_paths']['load_profiles'])
basic_functions.create_folder(data['local_paths']['rs_load_profile_txt'])
basic_functions.create_folder(data['local_paths']['ss_load_profile_txt'])
basic_functions.create_folder(data['local_paths']['dir_disaggregated'])
print("... Read in temperature data from raw files")
s_raw_weather_data.run(
data['local_paths'])
print("... Read in service submodel load profiles")
s_ss_raw_shapes.run(
data['paths'],
data['local_paths'],
data['lookups'])
print("... Read in residential submodel load profiles")
s_rs_raw_shapes.run(
data['paths'],
data['local_paths'],
base_yr)
print("... successfully finished setup")
return
def post_install_setup_minimum(args):
"""If not all data are available, this scripts allows to
create dummy datas (temperature and service sector load profiles)
Arguments
---------
path_local_data : str
Path to `energy_demand_data` folder
path_energy_demand : str
Path to energy demand python files
"""
path_energy_demand = resource_filename(Requirement.parse("energy_demand"), "config_data")
path_local_data = args.local_data
# ==========================================
# Post installation setup witout access to non publicy available data
# ==========================================
print("... running initialisation scripts with only publicly available data")
# Load paths
local_paths = data_loader.load_local_paths(path_local_data)
# Create folders to input data
raw_folder = os.path.join(path_local_data, '_raw_data')
processed_folder = os.path.join(path_local_data, '_processed_data')
basic_functions.create_folder(raw_folder)
basic_functions.create_folder(processed_folder)
basic_functions.create_folder(local_paths['path_post_installation_data'])
basic_functions.create_folder(local_paths['dir_raw_weather_data'])
basic_functions.create_folder(local_paths['dir_changed_weather_station_data'])
basic_functions.create_folder(local_paths['load_profiles'])
basic_functions.create_folder(local_paths['rs_load_profile_txt'])
basic_functions.create_folder(local_paths['ss_load_profile_txt'])
basic_functions.create_folder(local_paths['dir_disaggregated'])
# Load data
base_yr = 2015
data = {}
data['paths'] = data_loader.load_paths(path_energy_demand)
data['lookups'] = lookup_tables.basic_lookups()
data['enduses'], data['sectors'], data['fuels'] = data_loader.load_fuels(
data['paths'], data['lookups'])
# Assumptions
data['assumptions'] = non_param_assumptions.Assumptions(
base_yr=base_yr,
paths=data['paths'],
enduses=data['enduses'],
sectors=data['sectors'],
fueltypes=data['lookups']['fueltypes'],
fueltypes_nr=data['lookups']['fueltypes_nr'])
# Read in residential submodel shapes
run(data['paths'], local_paths, base_yr)
# ==========================================
# Create not publica available files
# ==========================================
# --------
# Generate dummy weather stations
# --------
dummy_raw_weather_station(local_paths)
# --------
# Generate dummy temperatures
# --------
dummy_raw_weather_data(local_paths)
# --------
# Dummy service sector load profiles
# --------
dummy_sectoral_load_profiles(local_paths, path_energy_demand)
print("Successfully finished post installation setup with open source data")
data['reg_coord'] = {}
for reg in data['regions']:
data['reg_coord'][reg] = {'longitude': 52.58, 'latitude': -1.091}
pop_density[reg] = 1
data['regions'] = list(data['regions'].keys())
data['pop_density'] = pop_density
# ------------------------------
# Assumptions
# ------------------------------
# Parameters not defined within smif
data['assumptions'] = non_param_assumptions.Assumptions(
base_yr=2015,
curr_yr=2015,
simulated_yrs=[2015, 2016, 2030, 2050],
paths=data['paths'],
enduses=data['enduses'],
sectors=data['sectors'],
fueltypes=data['lookups']['fueltypes'],
fueltypes_nr=data['lookups']['fueltypes_nr'])
# Parameters defined within smif
strategy_variables = param_assumptions.load_param_assump(
data['paths'], data['local_paths'], data['assumptions'])
data['assumptions'].update('strategy_variables', strategy_variables)
data['tech_lp'] = data_loader.load_data_profiles(
data['paths'], data['local_paths'], data['assumptions'].model_yeardays,
data['assumptions'].model_yeardays_daytype,
data['criterias']['plot_tech_lp'])