solarpy 0.1.3
Solar radiation model based on Duffie & Beckman                "Solar energy thermal processes" (1974)

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| Description | Python Solar Radiation model |
| Author | aqreed <aqreed@protonmail.com> |
| Version | 0.1.3 |
| Python Version | 3.6 |
| Requires | Numpy, Matplotlib |

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:
* **any plane**, thanks to the calculation of the solar vector in NED (North East Down) coordinates, suitable for its use in flight dynamics simulations...
* **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.
* **any day of the year**, taking into account the variations of the extraterrestrial radiation, the equation of time, the declination, etc., throughout the year

#### Example 1
Solar [irradiance](https://en.wikipedia.org/wiki/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](https://github.com/aqreed/solarpy/blob/master/examples/solar_irradiance.ipynb).

#### Example 2
Power output (in W) of a solar panel with the following characteristics:
* surface of 2.1 sqm
* efficiency of 0.2
* pointing upwards
* in NYC
* on December 25, at 16.15

```
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()
```

#### Example 3
Solar [declination](https://en.wikipedia.org/wiki/Position_of_the_Sun#Declination_of_the_Sun_as_seen_from_Earth) 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'](https://github.com/aqreed/solarpy/tree/master/examples) folder that you can open locally, or just try [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/aqreed/solarpy/master?filepath=examples) to launch online interactive Jupyter notebooks.

---
**NOTE**:
solarpy is under development and might change in the near future.

---

### Dependencies

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

### Installation

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:

```sh
$ git clone https://github.com/aqreed/solarpy.git
$ cd solarpy
$ pip install -e .
```

### Testing

solarpy recommends py.test for running the test suite. Running from the top directory:

```sh
$ pytest
```

To test coverage (also from the top directory):

```sh
$ pytest --cov
```

### Bug reporting

Please feel free to open an [issue](https://github.com/aqreed/solarpy/issues) on GitHub!

### License

MIT (see `COPYING`)