def get_column_names_individual(
district_heating_network,
district_cooling_network,
building_names_heating,
building_names_cooling,
):
# 3 cases are possible
if district_heating_network and district_cooling_network:
# local variables
heating_unit_names_share = [
x for x, y in DH_CONVERSION_TECHNOLOGIES_SHARE.iteritems()
]
cooling_unit_names_share = [
x for x, y in DC_CONVERSION_TECHNOLOGIES_SHARE.iteritems()
]
column_names_buildings_heating = [
x + "_" + DH_ACRONYM for x in building_names_heating
]
column_names_buildings_cooling = [
x + "_" + DC_ACRONYM for x in building_names_cooling
]
# combine both strings and calculate the ranges of each part of the individual
column_names = heating_unit_names_share + \
column_names_buildings_heating + \
cooling_unit_names_share + \
column_names_buildings_cooling
elif district_heating_network:
# local variables
heating_unit_names_share = [
x for x, y in DH_CONVERSION_TECHNOLOGIES_SHARE.iteritems()
]
column_names_buildings_heating = [
x + "_" + DH_ACRONYM for x in building_names_heating
]
cooling_unit_names_share = []
column_names_buildings_cooling = []
column_names = heating_unit_names_share + \
column_names_buildings_heating
elif district_cooling_network:
# local variables
cooling_unit_names_share = [
x for x, y in DC_CONVERSION_TECHNOLOGIES_SHARE.iteritems()
]
column_names_buildings_cooling = [
x + "_" + DC_ACRONYM for x in building_names_cooling
]
heating_unit_names_share = []
column_names_buildings_heating = []
column_names = cooling_unit_names_share + \
column_names_buildings_cooling
return column_names, \
heating_unit_names_share, \
cooling_unit_names_share, \
column_names_buildings_heating, \
column_names_buildings_cooling
def get_column_names_individual(district_heating_network,
district_cooling_network,
building_names_heating,
building_names_cooling,
technologies_heating_allowed,
technologies_cooling_allowed,
):
# 2 cases are possible
if district_heating_network:
# local variables
heating_unit_names_share = [x[0] for x in DH_CONVERSION_TECHNOLOGIES_SHARE.iteritems() if
x[0] in technologies_heating_allowed]
column_names_buildings_heating = [x + "_" + DH_ACRONYM for x in building_names_heating]
cooling_unit_names_share = []
column_names_buildings_cooling = []
column_names = heating_unit_names_share + \
column_names_buildings_heating
elif district_cooling_network:
# local variables
cooling_unit_names_share = [x[0] for x in DC_CONVERSION_TECHNOLOGIES_SHARE.iteritems() if
x[0] in technologies_cooling_allowed]
column_names_buildings_cooling = [x + "_" + DC_ACRONYM for x in building_names_cooling]
heating_unit_names_share = []
column_names_buildings_heating = []
column_names = cooling_unit_names_share + \
column_names_buildings_cooling
else:
raise Exception('One or more attributes where not selected')
return column_names, \
heating_unit_names_share, \
cooling_unit_names_share, \
column_names_buildings_heating, \
column_names_buildings_cooling
def create_empty_individual(column_names,
column_names_buildings_heating,
column_names_buildings_cooling,
district_heating_network,
district_cooling_network,
technologies_heating_allowed,
technologies_cooling_allowed,
):
# local variables
heating_unit_names_share = [x[0] for x in DH_CONVERSION_TECHNOLOGIES_SHARE.iteritems() if
x[0] in technologies_heating_allowed]
cooling_unit_names_share = [x[0] for x in DC_CONVERSION_TECHNOLOGIES_SHARE.iteritems() if
x[0] in technologies_cooling_allowed]
heating_unit_share_float = [0.0] * len(heating_unit_names_share)
cooling_unit_share_float = [0.0] * len(cooling_unit_names_share)
DH_buildings_district_scale_int = [0] * len(column_names_buildings_heating)
DC_buildings_district_scale_int = [0] * len(column_names_buildings_cooling)
# 1 cases are possible
if district_heating_network:
individual = heating_unit_share_float + \
DH_buildings_district_scale_int
elif district_cooling_network:
individual = cooling_unit_share_float + \
DC_buildings_district_scale_int
else:
raise Exception('option not available')
individual_with_names_dict = dict(zip(column_names, individual))
return individual_with_names_dict
def validation_main(individual_with_name_dict, column_names_buildings_heating,
column_names_buildings_cooling, district_heating_network,
district_cooling_network, technologies_heating_allowed,
technologies_cooling_allowed):
if district_heating_network:
# FOR BUILDINGS CONNECTIONS - they should be inside the range
for building_name in column_names_buildings_heating:
lim_inf = 0
lim_sup = 1
while individual_with_name_dict[building_name] > lim_sup:
individual_with_name_dict[building_name] = random.randint(
lim_inf, lim_sup)
# FOR BUILDINGS CONNECTIONS - constrains that at least 2 buildings should be connected to the network
lim_inf = 0
lim_sup = 1
candidate = ''.join(
str(individual_with_name_dict[building_name])
for building_name in column_names_buildings_heating)
while candidate.count('1') < 2:
for building_name in column_names_buildings_heating:
individual_with_name_dict[building_name] = random.randint(
lim_inf, lim_sup)
candidate = ''.join(
str(individual_with_name_dict[building_name])
for building_name in column_names_buildings_heating)
# FOR SUPPLY SYSTEMS SHARE - turn off if they are below the minimum (trick to avoid strings with on - off behavior
for technology_name, limits in DH_CONVERSION_TECHNOLOGIES_SHARE.items(
):
if technology_name in technologies_heating_allowed:
minimum = limits["minimum"]
if individual_with_name_dict[technology_name] < minimum:
individual_with_name_dict[
technology_name] = 0.0 # 0.0 denotes off
else:
individual_with_name_dict[technology_name] = round(
individual_with_name_dict[technology_name], 2)
# FOR SUPPLY SYSTEMS SHARE - The share of solar technologies should be 1 (because they share the same area)
unit_name, unit_share = [], []
for technology_name, limits in DH_CONVERSION_TECHNOLOGIES_SHARE.items(
):
if technology_name in technologies_heating_allowed:
minimum = limits["minimum"]
if individual_with_name_dict[
technology_name] >= minimum and technology_name in DH_CONVERSION_TECHNOLOGIES_WITH_SPACE_RESTRICTIONS: # only if the unit is activated
unit_name.append(technology_name)
unit_share.append(
individual_with_name_dict[technology_name])
sum_shares = sum(unit_share)
if sum_shares > 1.0: # only i the case that the sum of shares is more than the maximum of 1.0
normalized_shares = [round(i / sum_shares, 2) for i in unit_share]
for column, share in zip(unit_name, normalized_shares):
individual_with_name_dict[column] = share
if district_cooling_network:
# FOR BUILDINGS CONNECTIONS
for building_name in column_names_buildings_cooling:
lim_inf = 0
lim_sup = 1
while individual_with_name_dict[building_name] > lim_sup:
individual_with_name_dict[building_name] = random.randint(
lim_inf, lim_sup)
# FOR BUILDINGS CONNECTIONS - constrains that at least 2 buildings should be connected to the network
lim_inf = 0
lim_sup = 1
candidate = ''.join(
str(individual_with_name_dict[building_name])
for building_name in column_names_buildings_cooling)
while candidate.count('1') < 2:
for building_name in column_names_buildings_cooling:
individual_with_name_dict[building_name] = random.randint(
lim_inf, lim_sup)
candidate = ''.join(
str(individual_with_name_dict[building_name])
for building_name in column_names_buildings_cooling)
# FOR SUPPLY SYSTEMS SHARE - turn off if they are below the minimum (trick to avoid strings with on - off behavior
for technology_name, limits in DC_CONVERSION_TECHNOLOGIES_SHARE.items(
):
if technology_name in technologies_cooling_allowed:
minimum = limits["minimum"]
if individual_with_name_dict[technology_name] < minimum:
individual_with_name_dict[
technology_name] = 0.0 # 0.0 denotes off
# FOR SUPPLY SYSTEMS SHARE - The share of solar technologies should be 1 (because they share the same area)
unit_name, unit_share = [], []
for technology_name, limits in DC_CONVERSION_TECHNOLOGIES_SHARE.items(
):
if technology_name in technologies_cooling_allowed:
minimum = limits["minimum"]
if individual_with_name_dict[
technology_name] >= minimum and technology_name in DC_CONVERSION_TECHNOLOGIES_WITH_SPACE_RESTRICTIONS: # only if the unit is activated
unit_name.append(technology_name)
unit_share.append(
individual_with_name_dict[technology_name])
sum_shares = sum(unit_share)
normalized_shares = [round(i / sum_shares, 2) for i in unit_share]
for column, share in zip(unit_name, normalized_shares):
individual_with_name_dict[column] = share
return individual_with_name_dict