def test_check_energy_system_can_fulfill_max_demand_sufficient_non_dispatchable_production(
caplog, ):
dict_values_v7 = deepcopy(dict_values_fulfill_demand)
dict_values_v7[ENERGY_PRODUCTION][production].update(
{MAXIMUM_CAP: {
VALUE: 200
}})
dict_values_v7[ENERGY_PRODUCTION][production].update(
{OPTIMIZE_CAP: {
VALUE: True
}})
dict_values_v7[ENERGY_PRODUCTION][production].update(
{TIMESERIES_PEAK: {
VALUE: 0.5
}})
with caplog.at_level(logging.DEBUG):
peak_generation, peak_demand = C1.check_energy_system_can_fulfill_max_demand(
dict_values_v7)
assert (
peak_generation == 100
), f"The peak generation should have been 100 but is {peak_generation}"
assert (peak_demand == 100
), f"The peak demand should have been 100 but is {peak_demand}"
assert (
"The check for assets having sufficient capacities to fulfill the maximum demand has successfully passed"
in caplog.text
), f"As the maximum/installed capacities of the assets in an energy system are sufficient, a successful debug message should have be logged. This did not happen, with peak generation of {peak_generation} and peak demand of {peak_demand}."
def test_check_energy_system_can_fulfill_max_demand_with_storage(caplog):
dict_values_v4 = deepcopy(dict_values_fulfill_demand)
dict_values_v4[ENERGY_CONVERSION][generator].update(
{INSTALLED_CAP: {
VALUE: 80
}})
dict_values_v4[ENERGY_STORAGE][storage].update(
{OPTIMIZE_CAP: {
VALUE: True
}})
with caplog.at_level(logging.DEBUG):
C1.check_energy_system_can_fulfill_max_demand(dict_values_v4)
assert (
"this check does not determine if the storage can be sufficiently"
in caplog.text
), f"If a storage asset is included in the energy system, a successful debug message should have been logged."
def test_check_energy_system_can_fulfill_max_demand_no_maximum_capacity(
caplog):
dict_values_v2 = deepcopy(dict_values_fulfill_demand)
dict_values_v2[ENERGY_CONVERSION][generator].update(
{MAXIMUM_CAP: {
VALUE: None
}})
dict_values_v2[ENERGY_CONVERSION][generator].update(
{OPTIMIZE_CAP: {
VALUE: True
}})
with caplog.at_level(logging.DEBUG):
C1.check_energy_system_can_fulfill_max_demand(dict_values_v2)
assert (
"The check for assets having sufficient capacities to fulfill the maximum demand has successfully passed"
in caplog.text
), f"If the maximum capacity of an optimizable asset is set to None, a successful debug message should have been logged."
def test_check_energy_system_can_fulfill_max_demand_insufficient_capacities(
caplog):
dict_values_v3 = deepcopy(dict_values_fulfill_demand)
dict_values_v3[ENERGY_CONVERSION][generator].update(
{MAXIMUM_CAP: {
VALUE: 90
}})
dict_values_v3[ENERGY_CONVERSION][generator].update(
{OPTIMIZE_CAP: {
VALUE: True
}})
with caplog.at_level(logging.WARNING):
peak_generation, peak_demand = C1.check_energy_system_can_fulfill_max_demand(
dict_values_v3)
assert (
"might have insufficient capacities" in caplog.text
), f"If the maximum/installed capacities of the assets in an energy system are insufficient, a warning message should have been logged. This did not happen, with peak generation of {peak_generation} and peak demand of {peak_demand}."
def test_check_energy_system_can_fulfill_max_demand_insufficient_non_dispatchable_production(
caplog, ):
dict_values_v8 = deepcopy(dict_values_fulfill_demand)
dict_values_v8[ENERGY_PRODUCTION][production].update(
{MAXIMUM_CAP: {
VALUE: 100
}})
dict_values_v8[ENERGY_PRODUCTION][production].update(
{OPTIMIZE_CAP: {
VALUE: True
}})
dict_values_v8[ENERGY_PRODUCTION][production].update(
{TIMESERIES_PEAK: {
VALUE: 0.5
}})
with caplog.at_level(logging.WARNING):
peak_generation, peak_demand = C1.check_energy_system_can_fulfill_max_demand(
dict_values_v8)
assert (
"might have insufficient capacities" in caplog.text
), f"If the maximum/installed capacities of the assets in an energy system are insufficient, a warning message should have been logged. This did not happen, with peak generation of {peak_generation} and peak demand of {peak_demand}."