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Commit 0473e661 authored by Eric Duminil's avatar Eric Duminil
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tests/test_workflows.py
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......@@ -4,7 +4,11 @@ from pathlib import Path
import pytest
from simstadt import greenwater_simulation, heatdemand_simulation, photovoltaic_simulation
from simstadt import (
greenwater_simulation,
heatdemand_simulation,
photovoltaic_simulation,
)
from simstadt.results import KPI
TEST_REPOSITORY = Path(__file__).parent / "data" / "TestRepo"
......@@ -21,8 +25,13 @@ def to_dict(values: list[KPI]) -> dict[str, KPI]:
@pytest.mark.integration
@pytest.mark.slow
def test_pv_no_shadow(simstadt_folder):
results = photovoltaic_simulation(MINI, METEONORM, with_shadows=False, min_roof_insolation=800,
project_path=PROJECT_PATH)
results = photovoltaic_simulation(
MINI,
METEONORM,
with_shadows=False,
min_roof_insolation=800,
project_path=PROJECT_PATH,
)
kpis = to_dict(results.kpis)
assert "PV potential yield" in kpis
assert "Roof area for PV" in kpis
......@@ -32,47 +41,118 @@ def test_pv_no_shadow(simstadt_folder):
@pytest.mark.integration
@pytest.mark.slow
def test_pv_more_modules(simstadt_folder):
base_kpis = to_dict(photovoltaic_simulation(MINI, METEONORM, with_shadows=False, min_roof_insolation=800,
project_path=PROJECT_PATH).kpis)
more_kpis = to_dict(photovoltaic_simulation(MINI, METEONORM, with_shadows=False, min_roof_insolation=800,
pv_share_flat=80, pv_share_tilted=80,
project_path=PROJECT_PATH).kpis)
assert more_kpis["PV potential nominal power"].value > base_kpis["PV potential nominal power"].value * 1.5
assert more_kpis["PV potential yield"].value > base_kpis["PV potential yield"].value * 1.5
assert abs(more_kpis["Irradiance in module plane"].value - base_kpis["Irradiance in module plane"].value) < 1
assert abs(more_kpis["Roof area for PV"].value - base_kpis["Roof area for PV"].value) < 100
base_kpis = to_dict(
photovoltaic_simulation(
MINI,
METEONORM,
with_shadows=False,
min_roof_insolation=800,
project_path=PROJECT_PATH,
).kpis
)
more_kpis = to_dict(
photovoltaic_simulation(
MINI,
METEONORM,
with_shadows=False,
min_roof_insolation=800,
pv_share_flat=80,
pv_share_tilted=80,
project_path=PROJECT_PATH,
).kpis
)
assert (
more_kpis["PV potential nominal power"].value
> base_kpis["PV potential nominal power"].value * 1.5
)
assert (
more_kpis["PV potential yield"].value
> base_kpis["PV potential yield"].value * 1.5
)
assert (
abs(
more_kpis["Irradiance in module plane"].value
- base_kpis["Irradiance in module plane"].value
)
< 1
)
assert (
abs(more_kpis["Roof area for PV"].value - base_kpis["Roof area for PV"].value)
< 100
)
@pytest.mark.integration
@pytest.mark.slow
def test_pv_shadow_reduces_yield(simstadt_folder):
kpis = to_dict(photovoltaic_simulation(MINI, METEONORM, with_shadows=False, min_roof_insolation=800,
project_path=PROJECT_PATH).kpis)
shadow_kpis = to_dict(photovoltaic_simulation(MINI, METEONORM, with_shadows=True, min_roof_insolation=800,
project_path=PROJECT_PATH).kpis)
kpis = to_dict(
photovoltaic_simulation(
MINI,
METEONORM,
with_shadows=False,
min_roof_insolation=800,
project_path=PROJECT_PATH,
).kpis
)
shadow_kpis = to_dict(
photovoltaic_simulation(
MINI,
METEONORM,
with_shadows=True,
min_roof_insolation=800,
project_path=PROJECT_PATH,
).kpis
)
assert shadow_kpis["PV potential yield"].value < kpis["PV potential yield"].value
assert shadow_kpis["Irradiance in module plane"].value < kpis["Irradiance in module plane"].value
assert (
shadow_kpis["Irradiance in module plane"].value
< kpis["Irradiance in module plane"].value
)
@pytest.mark.integration
@pytest.mark.slow
def test_pv_trees_reduce_yield(simstadt_folder):
shadow_kpis = to_dict(photovoltaic_simulation(MINI, METEONORM, with_shadows=True, min_roof_insolation=800,
project_path=PROJECT_PATH).kpis)
tree_kpis = to_dict(photovoltaic_simulation(
TEST_REPOSITORY / "Grombühl_mini_with_comically_large_trees.gml",
METEONORM, with_shadows=True, min_roof_insolation=800, project_path=PROJECT_PATH,
).kpis)
assert tree_kpis["PV potential nominal power"].value < shadow_kpis["PV potential nominal power"].value * 0.8
assert tree_kpis["PV potential yield"].value < shadow_kpis["PV potential yield"].value * 0.8
shadow_kpis = to_dict(
photovoltaic_simulation(
MINI,
METEONORM,
with_shadows=True,
min_roof_insolation=800,
project_path=PROJECT_PATH,
).kpis
)
tree_kpis = to_dict(
photovoltaic_simulation(
TEST_REPOSITORY / "Grombühl_mini_with_comically_large_trees.gml",
METEONORM,
with_shadows=True,
min_roof_insolation=800,
project_path=PROJECT_PATH,
).kpis
)
assert (
tree_kpis["PV potential nominal power"].value
< shadow_kpis["PV potential nominal power"].value * 0.8
)
assert (
tree_kpis["PV potential yield"].value
< shadow_kpis["PV potential yield"].value * 0.8
)
@pytest.mark.integration
@pytest.mark.slow
def test_heatdemand_heating_and_cooling(simstadt_folder):
kpis = to_dict(heatdemand_simulation(MINI, METEONORM, with_shadows=False,
calculation_mode="HEATING_AND_COOLING",
project_path=PROJECT_PATH).kpis)
kpis = to_dict(
heatdemand_simulation(
MINI,
METEONORM,
with_shadows=False,
calculation_mode="HEATING_AND_COOLING",
project_path=PROJECT_PATH,
).kpis
)
assert "Heated area" in kpis
assert "Yearly Heating demand" in kpis
assert "Yearly Cooling demand" in kpis
......@@ -82,48 +162,102 @@ def test_heatdemand_heating_and_cooling(simstadt_folder):
@pytest.mark.integration
@pytest.mark.slow
def test_heatdemand_shadow_increases_heating(simstadt_folder):
kpis = to_dict(heatdemand_simulation(MINI, METEONORM, with_shadows=False,
calculation_mode="HEATING_AND_COOLING",
project_path=PROJECT_PATH).kpis)
shadow_kpis = to_dict(heatdemand_simulation(MINI, METEONORM, with_shadows=True,
calculation_mode="HEATING_AND_COOLING",
project_path=PROJECT_PATH).kpis)
assert shadow_kpis["Yearly Heating demand"].value > kpis["Yearly Heating demand"].value * 1.02
assert shadow_kpis["Yearly Cooling demand"].value < kpis["Yearly Cooling demand"].value * 0.95
kpis = to_dict(
heatdemand_simulation(
MINI,
METEONORM,
with_shadows=False,
calculation_mode="HEATING_AND_COOLING",
project_path=PROJECT_PATH,
).kpis
)
shadow_kpis = to_dict(
heatdemand_simulation(
MINI,
METEONORM,
with_shadows=True,
calculation_mode="HEATING_AND_COOLING",
project_path=PROJECT_PATH,
).kpis
)
assert (
shadow_kpis["Yearly Heating demand"].value
> kpis["Yearly Heating demand"].value * 1.02
)
assert (
shadow_kpis["Yearly Cooling demand"].value
< kpis["Yearly Cooling demand"].value * 0.95
)
@pytest.mark.integration
@pytest.mark.slow
def test_heatdemand_trees_increase_heating(simstadt_folder):
shadow_kpis = to_dict(heatdemand_simulation(MINI, METEONORM, with_shadows=True,
calculation_mode="HEATING_AND_COOLING",
project_path=PROJECT_PATH).kpis)
tree_kpis = to_dict(heatdemand_simulation(MINI_TREES, METEONORM, with_shadows=True,
calculation_mode="HEATING_AND_COOLING",
project_path=PROJECT_PATH).kpis)
assert tree_kpis["Yearly Heating demand"].value > shadow_kpis["Yearly Heating demand"].value * 1.01
assert tree_kpis["Yearly Cooling demand"].value < shadow_kpis["Yearly Cooling demand"].value * 0.95
shadow_kpis = to_dict(
heatdemand_simulation(
MINI,
METEONORM,
with_shadows=True,
calculation_mode="HEATING_AND_COOLING",
project_path=PROJECT_PATH,
).kpis
)
tree_kpis = to_dict(
heatdemand_simulation(
MINI_TREES,
METEONORM,
with_shadows=True,
calculation_mode="HEATING_AND_COOLING",
project_path=PROJECT_PATH,
).kpis
)
assert (
tree_kpis["Yearly Heating demand"].value
> shadow_kpis["Yearly Heating demand"].value * 1.01
)
assert (
tree_kpis["Yearly Cooling demand"].value
< shadow_kpis["Yearly Cooling demand"].value * 0.95
)
@pytest.mark.integration
@pytest.mark.slow
def test_heatdemand_refurbishment_reduces_demand(simstadt_folder):
tree_kpis = to_dict(heatdemand_simulation(MINI_TREES, METEONORM, with_shadows=True,
calculation_mode="HEATING_AND_COOLING",
project_path=PROJECT_PATH).kpis)
refurb_kpis = to_dict(heatdemand_simulation(MINI_TREES, METEONORM, with_shadows=True,
calculation_mode="HEATING_AND_COOLING",
refurbishment_ratio=1.0,
project_path=PROJECT_PATH).kpis)
assert refurb_kpis["Yearly Heating demand"].value < tree_kpis["Yearly Heating demand"].value * 0.50
tree_kpis = to_dict(
heatdemand_simulation(
MINI_TREES,
METEONORM,
with_shadows=True,
calculation_mode="HEATING_AND_COOLING",
project_path=PROJECT_PATH,
).kpis
)
refurb_kpis = to_dict(
heatdemand_simulation(
MINI_TREES,
METEONORM,
with_shadows=True,
calculation_mode="HEATING_AND_COOLING",
refurbishment_ratio=1.0,
project_path=PROJECT_PATH,
).kpis
)
assert (
refurb_kpis["Yearly Heating demand"].value
< tree_kpis["Yearly Heating demand"].value * 0.50
)
assert refurb_kpis["Mean Uvalue"].value < tree_kpis["Mean Uvalue"].value * 0.50
@pytest.mark.integration
@pytest.mark.slow
def test_greenwater(simstadt_folder):
kpis = to_dict(greenwater_simulation(MINI_TREES, METEONORM, irrigation_ratio=1.0,
project_path=PROJECT_PATH).kpis)
kpis = to_dict(
greenwater_simulation(
MINI_TREES, METEONORM, irrigation_ratio=1.0, project_path=PROJECT_PATH
).kpis
)
assert "Rain" in kpis
assert "Evaporative cooling" in kpis
assert "Irrigation" in kpis
......@@ -133,9 +267,15 @@ def test_greenwater(simstadt_folder):
@pytest.mark.integration
@pytest.mark.slow
def test_greenwater_no_irrigation(simstadt_folder):
kpis = to_dict(greenwater_simulation(MINI_TREES, METEONORM, irrigation_ratio=1.0,
project_path=PROJECT_PATH).kpis)
no_irr_kpis = to_dict(greenwater_simulation(MINI_TREES, METEONORM, irrigation_ratio=0.0,
project_path=PROJECT_PATH).kpis)
kpis = to_dict(
greenwater_simulation(
MINI_TREES, METEONORM, irrigation_ratio=1.0, project_path=PROJECT_PATH
).kpis
)
no_irr_kpis = to_dict(
greenwater_simulation(
MINI_TREES, METEONORM, irrigation_ratio=0.0, project_path=PROJECT_PATH
).kpis
)
assert kpis["Irrigation"].value > 500
assert no_irr_kpis["Irrigation"].rounded_value == 0
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