energy calculation including shading effects

This commit is contained in:
Lucas Tan 2025-04-01 23:04:08 +08:00
parent a086431c46
commit ca4fcd8f49
4 changed files with 112 additions and 11 deletions

0
Utilities/Optimisers.py Normal file
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@ -12,13 +12,14 @@ from Utilities.Processes import (
logger = logging.getLogger(__name__)
def get_location(c):
location = pvlib.location.Location(
latitude=c["environment"]["location"]["latitude"],
longitude=c["environment"]["location"]["longitude"],
tz=c["simulation_date_time"]["tz"],
)
return location
@ -85,9 +86,7 @@ def define_grid_layout(c):
for i in range(int(max__panels_per_row)):
if counter < no_of_panels:
x.append(i * c["panel"]["dimensions"]["width"])
y.append(
j * pitch
)
y.append(j * pitch)
z.append(0)
counter += 1
else:
@ -121,10 +120,111 @@ def get_solar_data(c):
# Get solar position data using PVLib
solar_positions = location.get_solarposition(times)
clearsky_data = location.get_clearsky(times)
# filter solar positions to only include times when the sun is above the horizon
solar_positions = solar_positions[solar_positions["apparent_elevation"] > 0]
# get datetime range from solar_positions
day_times = solar_positions.index
clearsky_data = location.get_clearsky(day_times)
return solar_positions, clearsky_data
def calculate_shading(c, coordinates, solar_positions):
def calculate_shading(c):
panel_coordinates, no_of_panels = define_grid_layout(c)
solar_positions, clearsky_data = get_solar_data(c)
# split the solar positions data into morning and afternoon, using solar azimuth of
# 180 degrees as the threshold
morning_solar_positions = solar_positions[solar_positions["azimuth"] <= 180]
afternoon_solar_positions = solar_positions[solar_positions["azimuth"] > 180]
# the first row is always not shaded so exclude
no_of_rows = np.unique(panel_coordinates["y"]).shape[0]
no_of_shaded_rows = no_of_rows - 1
collector_width = c["panel"]["dimensions"]["length"]
# calculate delta between unique y coordinates of panels to get pitch
pitch = np.unique(panel_coordinates["y"])[1] - np.unique(panel_coordinates["y"])[0]
surface_to_axis_offset = 0
shaded_row_rotation = c["array"]["tilt"]
shading_row_rotation = c["array"]["tilt"]
axis_tilt = 0
axis_azimuth = c["array"]["front_face_azimuth"]
morning_shaded_fraction = pvlib.shading.shaded_fraction1d(
solar_zenith=morning_solar_positions["zenith"],
solar_azimuth=morning_solar_positions["azimuth"],
axis_azimuth=axis_azimuth,
shaded_row_rotation=shaded_row_rotation,
shading_row_rotation=shading_row_rotation,
collector_width=collector_width,
pitch=pitch,
surface_to_axis_offset=surface_to_axis_offset,
axis_tilt=axis_tilt,
)
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"],
axis_azimuth=axis_azimuth + 180,
shaded_row_rotation=shaded_row_rotation,
shading_row_rotation=shading_row_rotation,
collector_width=collector_width,
pitch=pitch,
surface_to_axis_offset=surface_to_axis_offset,
axis_tilt=axis_tilt,
)
afternoon_shaded_fraction = (
afternoon_shaded_fraction * no_of_shaded_rows / no_of_rows
)
logger.info(
f"Shaded fraction calculated for morning and afternoon solar positions."
)
# calculate irradiance on plane of array
poa_front = pvlib.irradiance.get_total_irradiance(
surface_tilt=c["array"]["tilt"],
surface_azimuth=c["array"]["front_face_azimuth"],
solar_zenith=morning_solar_positions["zenith"],
solar_azimuth=morning_solar_positions["azimuth"],
dni=clearsky_data["dni"],
ghi=clearsky_data["ghi"],
dhi=clearsky_data["dhi"],
)
# drop rows with poa_global NaN values
poa_front = poa_front.dropna(subset=["poa_global"])
poa_rear = pvlib.irradiance.get_total_irradiance(
surface_tilt=180 - c["array"]["tilt"],
surface_azimuth=c["array"]["front_face_azimuth"] + 180,
solar_zenith=afternoon_solar_positions["zenith"],
solar_azimuth=afternoon_solar_positions["azimuth"],
dni=clearsky_data["dni"],
ghi=clearsky_data["ghi"],
dhi=clearsky_data["dhi"],
)
# drop rows with poa_global NaN values
poa_rear = poa_rear.dropna(subset=["poa_global"])
effective_front = (
poa_front["poa_global"]
* (1 - morning_shaded_fraction)
* c["panel"]["efficiency"]
)
effective_rear = (
poa_rear["poa_global"]
* (1 - afternoon_shaded_fraction)
* c["panel"]["bifaciality"]
* c["panel"]["efficiency"]
)
energy_front = effective_front * 15 / 60 / 1e3
energy_rear = effective_rear * 15 / 60 / 1e3
energy_total = energy_front.sum() + energy_rear.sum()
logger.info(f"Energy yield calculated: {energy_total} kWh/m2")
panel_area = c["panel"]["dimensions"]["length"] * c["panel"]["dimensions"]["width"]
total_area = panel_area * no_of_panels
total_energy = energy_total * total_area
logger.info(f"Total energy yield calculated: {total_energy} kWh")

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@ -1,6 +1,6 @@
array:
system_size: 100 # in kWp
spacing: 1.5 # spacing between adjacent panel rows in m
system_size: 400 # in kWp
spacing: 0.5 # spacing between adjacent panel rows in m
edge_setback: 1.8 # distance from the edge of the roof to the array
front_face_azimuth: 90 # 90=east, 180=south, 270=west
tilt: 90 # just 0 and 90 are supported for now
@ -24,6 +24,7 @@ environment:
panel:
peak_power: 710 # in Wp
efficiency: 0.229 # max efficiency of the front face
bifaciality: 0.85 # rear face efficiency relative to front face
# dimensions all in m
dimensions:

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@ -1,7 +1,7 @@
# %%
import yaml
import logging
from Utilities.Shading import define_grid_layout
from Utilities.Shading import calculate_shading
logging.basicConfig(
level=logging.INFO,
@ -24,7 +24,7 @@ with open(config_path, "r") as file:
logger.info("Configuration loaded successfully.")
logger.debug(f"Configuration: {c}")
shading = define_grid_layout(c)
shading = calculate_shading(c)
logger.info("Shading calculation completed successfully.")
# %%