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\n\n[](https://travis-ci.com/aqreed/solarpy)\n[](https://codecov.io/gh/aqreed/solarpy/branch/master)\n[](https://github.com/aqreed/solarpy/raw/master/COPYING)\n[](https://mybinder.org/v2/gh/aqreed/solarpy/master?filepath=examples)\n\n| | |\n| ------ | ------ |\n| Description | Python Solar Radiation model |\n| Author | aqreed |\n| Version | 0.1.3 |\n| Python Version | 3.6 |\n| Requires | Numpy, Matplotlib |\n\nThis 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\".\n\nThe main purpose is to generate a **solar beam irradiance** (W/m2) prediction on:\n* **any plane**, thanks to the calculation of the solar vector in NED (North East Down) coordinates, suitable for its use in flight dynamics simulations...\n* **any place of the earth**, taking into account the solar time wrt the standard time, geometric altitude, the latitude influence on solar azimuth and solar altitude as well as sunset/sunrise time and hour angle, etc.\n* **any day of the year**, taking into account the variations of the extraterrestrial radiation, the equation of time, the declination, etc., throughout the year\n\n#### Example 1\nSolar [irradiance](https://en.wikipedia.org/wiki/Solar_irradiance) on the southern hemisphere on October 17, at sea-level 13.01UTC (plane pointing upwards)?\n\n```\nimport numpy as np\nfrom solarpy import irradiance_on_plane\nfrom datetime import datetime\n\nvnorm = np.array([0, 0, -1]) # plane pointing zenith\nh = 0 # sea-level\ndate = datetime(2019, 10, 17, 13, 1) # year, month, day, hour, minute\nlat = -23.5 # southern hemisphere\n\nirradiance_on_plane(vnorm, h, date, lat)\n```\n\nA dedicated Jupyter Notebook on beam irradiance can be found [here](https://github.com/aqreed/solarpy/blob/master/examples/solar_irradiance.ipynb).\n\n#### Example 2\nPower output (in W) of a solar panel with the following characteristics:\n* surface of 2.1 sqm\n* efficiency of 0.2\n* pointing upwards\n* in NYC\n* on December 25, at 16.15\n\n```\nfrom numpy import array\nfrom solarpy import solar_panel\nfrom datetime import datetime\n\npanel = solar_panel(2.1, 0.2, id_name='NYC_xmas') # surface, efficiency and name\npanel.set_orientation(array([0, 0, -1])) # upwards\npanel.set_position(40.73, -73.93, 0) # NYC latitude, longitude, altitude\npanel.set_datetime(datetime(2019, 12, 25, 16, 15)) # Christmas Day!\npanel.power()\n```\n\n#### Example 3\nSolar [declination](https://en.wikipedia.org/wiki/Position_of_the_Sun#Declination_of_the_Sun_as_seen_from_Earth) on August 5?\n\n```\nfrom solarpy import declination\nfrom datetime import datetime\n\ndate = datetime(2019, 8, 5) # August 5\n\ndeclination(date)\n```\n\nPlease find more notebooks on the ['examples'](https://github.com/aqreed/solarpy/tree/master/examples) folder that you can open locally, or just try [](https://mybinder.org/v2/gh/aqreed/solarpy/master?filepath=examples) to launch online interactive Jupyter notebooks.\n\n---\n**NOTE**:\nsolarpy is under development and might change in the near future.\n\n---\n\n### Dependencies\n\nThis package depends on Python, NumPy and Matplotlib and is usually tested on Linux with the following versions:\n\nPython 3.6, NumPy 1.16, Matplotlib 3.0\n\n### Installation\n\nsolarpy has been written in Python3, and its version v0.1 is available in PyPi. It can be installed using:\n\n```\n$ pip install solarpy\n```\n\nTo install in development mode:\n\n```sh\n$ git clone https://github.com/aqreed/solarpy.git\n$ cd solarpy\n$ pip install -e .\n```\n\n### Testing\n\nsolarpy recommends py.test for running the test suite. Running from the top directory:\n\n```sh\n$ pytest\n```\n\nTo test coverage (also from the top directory):\n\n```sh\n$ pytest --cov\n```\n\n### Bug reporting\n\nPlease feel free to open an [issue](https://github.com/aqreed/solarpy/issues) on GitHub!\n\n### License\n\nMIT (see `COPYING`)\n\n\n",
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