def test_pre_post_parameters(consumption_history_1,
gsod_722880_2012_2014_weather_source):
meter_yaml = """
!obj:eemeter.meter.PrePostMeter {
splittable_args: ["consumption_history"],
meter: !obj:eemeter.meter.TemperatureSensitivityParameterOptimizationMeter {
fuel_unit_str: "kWh",
fuel_type: "electricity",
temperature_unit_str: "degF",
model: !obj:eemeter.models.DoubleBalancePointModel {
x0: [1.,1.,1.,60.,7.],
bounds: [[0,200],[0,200],[0,2000],[55,65],[2,12]],
}
},
}
"""
meter = load(meter_yaml)
result = meter.evaluate(consumption_history=consumption_history_1,
weather_source=gsod_722880_2012_2014_weather_source,
retrofit_start_date=datetime(2013,9,25),
retrofit_end_date=datetime(2013,9,25))
assert arrays_similar(result["temp_sensitivity_params_pre"],
[0.016883,0.042749,6.013131,65,3.3])
assert arrays_similar(result["temp_sensitivity_params_post"],
[0.059923,0.001983,11.129708,55,2])
assert isinstance(result["consumption_history_pre"],ConsumptionHistory)
assert isinstance(result["consumption_history_post"],ConsumptionHistory)
def test_weather_normalization(consumption_history_1,
gsod_722880_2012_2014_weather_source,
tmy3_722880_weather_source):
meter_yaml = """
!obj:eemeter.meter.SequentialMeter {
sequence: [
!obj:eemeter.meter.TemperatureSensitivityParameterOptimizationMeter {
fuel_unit_str: "kWh",
fuel_type: "electricity",
temperature_unit_str: "degF",
model: !obj:eemeter.models.DoubleBalancePointModel &model {
x0: [1.,1.,1.,60.,7.],
bounds: [[0,200],[0,200],[0,2000],[55,65],[2,12]],
}
},
!obj:eemeter.meter.AnnualizedUsageMeter {
temperature_unit_str: "degF",
model: *model
}
]
}
"""
meter = load(meter_yaml)
result = meter.evaluate(consumption_history=consumption_history_1,
weather_source=gsod_722880_2012_2014_weather_source,
weather_normal_source=tmy3_722880_weather_source)
assert arrays_similar(result['temp_sensitivity_params'],
[0.013456,0.029507,8.341199,65,3.8])
assert abs(result['annualized_usage'] - 3087.8412641) < EPSILON
def test_annualized_gross_savings_metric(consumption_history_1,
gsod_722880_2012_2014_weather_source,
tmy3_722880_weather_source):
meter_yaml = """
!obj:eemeter.meter.SequentialMeter {
sequence: [
!obj:eemeter.meter.PrePostMeter {
splittable_args: ["consumption_history"],
meter: !obj:eemeter.meter.TemperatureSensitivityParameterOptimizationMeter {
fuel_unit_str: "kWh",
fuel_type: "electricity",
temperature_unit_str: "degF",
model: !obj:eemeter.models.DoubleBalancePointModel &model {
x0: [1.,1.,1.,60.,7.],
bounds: [[0,200],[0,200],[0,2000],[55,65],[2,12]],
}
},
},
!obj:eemeter.meter.AnnualizedGrossSavingsMeter {
fuel_type: "electricity",
temperature_unit_str: "degF",
model: *model,
}
]
}
"""
meter = load(meter_yaml)
result = meter.evaluate(consumption_history=consumption_history_1,
weather_source=gsod_722880_2012_2014_weather_source,
weather_normal_source=tmy3_722880_weather_source,
retrofit_start_date=datetime(2013,9,25),
retrofit_end_date=datetime(2013,9,25))
assert arrays_similar(result["temp_sensitivity_params_pre"],
[0.016883,0.042749,6.013131,65,3.3])
assert arrays_similar(result["temp_sensitivity_params_post"],
[0.059923,0.001983,11.129708,55,2])
assert abs(result["annualized_gross_savings"] - -1822.821986) < EPSILON
def test_temperature_sensitivity_parameter_optimization(
consumption_history_1,gsod_722880_2012_2014_weather_source):
meter_yaml = """
!obj:eemeter.meter.TemperatureSensitivityParameterOptimizationMeter {
fuel_unit_str: "kWh",
fuel_type: "electricity",
temperature_unit_str: "degF",
model: !obj:eemeter.models.DoubleBalancePointModel {
x0: [1.,1.,1.,60.,7.],
bounds: [[0,200],[0,200],[0,2000],[55,65],[2,12]],
}
}
"""
meter = load(meter_yaml)
result = meter.evaluate(consumption_history=consumption_history_1,
weather_source=gsod_722880_2012_2014_weather_source)
assert arrays_similar(result['temp_sensitivity_params'],
[0.013456,0.029507,8.341199,65,3.8])
def test_generator_with_base_load(periods_one_year,gsod_722880_2012_2014_weather_source):
gen = ConsumptionGenerator("electricity", "J", "degF", 65, 1, 75, 1, 1)
consumptions = gen.generate(gsod_722880_2012_2014_weather_source, periods_one_year)
consumption_joules = [c.to("J") for c in consumptions]
assert len(consumptions) == len(periods_one_year) == 12
assert arrays_similar(consumption_joules,[276.8, 308.2, 322.5, 183.8, 139.2, 101.7, 223.0, 469.3, 420.2, 212.9, 189.7, 382.1])
def test_generator_no_base_load(periods_one_year,gsod_722880_2012_2014_weather_source):
gen = ConsumptionGenerator("electricity", "J", "degF", 65, 1, 75, 1, 0)
consumptions = gen.generate(gsod_722880_2012_2014_weather_source, periods_one_year)
consumption_joules = [c.to("J") for c in consumptions]
assert len(consumptions) == len(periods_one_year) == 12
assert arrays_similar(consumption_joules,[245.8, 279.2, 291.5, 153.8, 108.2, 71.7, 192.0, 438.3, 390.2, 181.9, 159.7, 351.1])
def test_arrays_similar():
assert arrays_similar([], [])
assert not arrays_similar([1], [])
assert not arrays_similar([1], [1, 2])
assert arrays_similar([1, 2], [1, 2])
