include albedo in vertical panel production calcs

This commit is contained in:
Lucas Tan 2025-04-02 16:47:17 +08:00
parent bba47e48b7
commit 25b7f5b0d4
2 changed files with 15 additions and 14 deletions

View File

@ -151,8 +151,8 @@ def calculate_energy_production_vertical(c):
axis_azimuth = 90
morning_shaded_fraction = pvlib.shading.shaded_fraction1d(
solar_zenith=morning_solar_positions["zenith"],
solar_azimuth=morning_solar_positions["azimuth"],
solar_zenith=solar_positions["zenith"],
solar_azimuth=solar_positions["azimuth"],
axis_azimuth=axis_azimuth,
shaded_row_rotation=shaded_row_rotation,
shading_row_rotation=shading_row_rotation,
@ -164,8 +164,8 @@ def calculate_energy_production_vertical(c):
morning_shaded_fraction = morning_shaded_fraction * no_of_shaded_rows / no_of_rows
afternoon_shaded_fraction = pvlib.shading.shaded_fraction1d(
solar_zenith=afternoon_solar_positions["zenith"],
solar_azimuth=afternoon_solar_positions["azimuth"],
solar_zenith=solar_positions["zenith"],
solar_azimuth=solar_positions["azimuth"],
axis_azimuth=axis_azimuth + 180,
shaded_row_rotation=shaded_row_rotation,
shading_row_rotation=shading_row_rotation,
@ -185,12 +185,12 @@ def calculate_energy_production_vertical(c):
poa_front = pvlib.irradiance.get_total_irradiance(
surface_tilt=90,
surface_azimuth=axis_azimuth,
solar_zenith=morning_solar_positions["zenith"],
solar_azimuth=morning_solar_positions["azimuth"],
solar_zenith=solar_positions["zenith"],
solar_azimuth=solar_positions["azimuth"],
dni=clearsky_data["dni"],
ghi=clearsky_data["ghi"],
dhi=clearsky_data["dhi"],
albedo=0.5,
surface_type="urban",
)
# drop rows with poa_global NaN values
poa_front = poa_front.dropna(subset=["poa_global"])
@ -198,12 +198,12 @@ def calculate_energy_production_vertical(c):
poa_rear = pvlib.irradiance.get_total_irradiance(
surface_tilt=180 - 90,
surface_azimuth=axis_azimuth + 180,
solar_zenith=afternoon_solar_positions["zenith"],
solar_azimuth=afternoon_solar_positions["azimuth"],
solar_zenith=solar_positions["zenith"],
solar_azimuth=solar_positions["azimuth"],
dni=clearsky_data["dni"],
ghi=clearsky_data["ghi"],
dhi=clearsky_data["dhi"],
albedo=0.5,
surface_type="urban",
)
# drop rows with poa_global NaN values
poa_rear = poa_rear.dropna(subset=["poa_global"])
@ -222,7 +222,7 @@ def calculate_energy_production_vertical(c):
energy_front = effective_front * 15 / 60 / 1e3
energy_rear = effective_rear * 15 / 60 / 1e3
total_hourly_energy_m2 = energy_front.add(energy_rear, fill_value=0)
total_hourly_energy_m2 = energy_front + energy_rear
energy_total = total_hourly_energy_m2.sum()
logger.info(f"Energy yield calculated: {energy_total} kWh/m2")

View File

@ -30,13 +30,14 @@ logger.info("Configuration loaded successfully.")
logger.debug(f"Configuration: {c}")
# calculate energy production for horizontal and vertical panels
vertical_energy = calculate_energy_production_vertical(c)
logger.info("Energy production for vertical panels calculated successfully.")
logger.debug(f"Vertical Energy Production: {vertical_energy.sum()}")
horizontal_energy = calculate_energy_production_horizontal(c)
logger.info("Energy production for horizontal panels calculated successfully.")
logger.debug(f"Horizontal Energy Production: {horizontal_energy.sum()}")
vertical_energy = calculate_energy_production_vertical(c)
logger.info("Energy production for vertical panels calculated successfully.")
logger.debug(f"Vertical Energy Production: {vertical_energy.sum()}")
NOVA_scaledown = 0.75