|Description||Python Solar Radiation model|
|Author||aqreed [email protected]|
This packages aims to provide a reliable solar radiation model, mainly based on the work of Duffie, J.A., and Beckman, W. A., 1974, "Solar energy thermal processes".
The main purpose is to generate a solar beam irradiance (W/m2) prediction on:
Solar irradiance on the southern hemisphere on October 17, at sea-level 13.01UTC (plane pointing upwards)?
import numpy as np from solarpy import irradiance_on_plane from datetime import datetime vnorm = np.array([0, 0, -1]) # plane pointing zenith h = 0 # sea-level date = datetime(2019, 10, 17, 13, 1) # year, month, day, hour, minute lat = -23.5 # southern hemisphere irradiance_on_plane(vnorm, h, date, lat)
A dedicated Jupyter Notebook on beam irradiance can be found here.
Power output (in W) of a solar panel with the following characteristics:
from numpy import array from solarpy import solar_panel from datetime import datetime panel = solar_panel(2.1, 0.2, id_name='NYC_xmas') # surface, efficiency and name panel.set_orientation(array([0, 0, -1])) # upwards panel.set_position(40.73, -73.93, 0) # NYC latitude, longitude, altitude panel.set_datetime(datetime(2019, 12, 25, 16, 15)) # Christmas Day! panel.power()
Solar declination on August 5?
from solarpy import declination from datetime import datetime date = datetime(2019, 8, 5) # August 5 declination(date)
Please find more notebooks on the 'examples' folder that you can open locally, or just try to launch online interactive Jupyter notebooks.
NOTE: solarpy is under development and might change in the near future.
This package depends on Python, NumPy and Matplotlib and is usually tested on Linux with the following versions:
Python 3.6, NumPy 1.16, Matplotlib 3.0
solarpy has been written in Python3, and its version v0.1 is available in PyPi. It can be installed using:
$ pip install solarpy
To install in development mode:
$ git clone https://github.com/aqreed/solarpy.git $ cd solarpy $ pip install -e .
solarpy recommends py.test for running the test suite. Running from the top directory:
To test coverage (also from the top directory):
$ pytest --cov
Please feel free to open an issue on GitHub!