130 lines
3.8 KiB
Python
130 lines
3.8 KiB
Python
import numpy as np
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import pandas as pd
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import logging
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import math
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from tqdm import tqdm
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import pvlib
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from Utilities.Processes import (
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calculate_no_of_panels,
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)
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logger = logging.getLogger(__name__)
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def get_location(c):
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location = pvlib.location.Location(
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latitude=c["environment"]["location"]["latitude"],
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longitude=c["environment"]["location"]["longitude"],
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tz=c["simulation_date_time"]["tz"],
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)
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return location
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def define_grid_layout(c):
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# get number of panels required
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no_of_panels = calculate_no_of_panels(
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c["array"]["system_size"], c["panel"]["peak_power"]
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)
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# calculate pitch
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pitch = c["array"]["spacing"] + c["panel"]["dimensions"]["thickness"]
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# calculate minimum pitch if we don't want panel overlap at all
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min_pitch = c["panel"]["dimensions"]["length"] * math.cos(
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c["array"]["tilt"] / 180 * math.pi
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)
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if pitch < min_pitch:
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logger.warning(
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f"Spacing is less than minimum pitch. Setting spacing to {min_pitch}."
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)
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pitch = min_pitch
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logger.info(f"Pitch between panels: {pitch}m")
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# get maximum number of panels based on spacing and dimensions
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max__panels_per_row = np.floor(
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(
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c["environment"]["roof"]["dimensions"]["width"]
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- (2 * c["array"]["edge_setback"] + c["panel"]["dimensions"]["width"])
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)
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/ c["panel"]["dimensions"]["width"]
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)
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max_number_of_rows = np.floor(
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(
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c["environment"]["roof"]["dimensions"]["length"]
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- (2 * c["array"]["edge_setback"] + c["panel"]["dimensions"]["length"])
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)
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/ pitch
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)
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max_no_of_panels = max__panels_per_row * max_number_of_rows
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logger.info(
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f"Number of panels required: {no_of_panels}, Maximum panels possible: {max_no_of_panels}"
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)
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if no_of_panels > max_no_of_panels:
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no_of_panels = max_no_of_panels
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logger.warning(
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f"Number of panels required exceeds maximum possible. Setting number of panels to {no_of_panels}."
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)
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else:
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logger.info(
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f"Number of panels required is within the maximum possible. Setting number of panels to {no_of_panels}."
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)
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# coordinate of panel determined by bottom left corner
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# x - row wise position, y - column wise position, z - height
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# first panel in row 1 is at (0, 0, 0)
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# nth panel in row 1 is at ((n-1)*panel_width, 0, 0)
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# first panel in nth row is at (0, (n-1)*(panel_thickness + spacing), 0)
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# create matrices for x, y, z coordinates of panels
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x = []
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y = []
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z = []
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counter = 0
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for j in range(int(max_number_of_rows)):
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for i in range(int(max__panels_per_row)):
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if counter < no_of_panels:
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x.append(i * c["panel"]["dimensions"]["width"])
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y.append(
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j * pitch
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)
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z.append(0)
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counter += 1
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else:
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break
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coordinates = pd.DataFrame(
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{
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"x": x,
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"y": y,
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"z": z,
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}
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)
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return coordinates, no_of_panels
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def get_solar_data(c):
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logger.info(
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f"Getting solar position data for {c['simulation_date_time']['start']} to {c['simulation_date_time']['end']}"
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)
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"""
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Function to get solar position from PVLib
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"""
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location = get_location(c)
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times = pd.date_range(
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c["simulation_date_time"]["start"],
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c["simulation_date_time"]["end"],
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freq="15min",
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tz=location.tz,
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)
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# Get solar position data using PVLib
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solar_positions = location.get_solarposition(times)
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clearsky_data = location.get_clearsky(times)
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return solar_positions, clearsky_data
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def calculate_shading(c, coordinates, solar_positions):
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