https://github.com/oscarperpinan/solar

Solar Radiation and Photovoltaic Systems with R
https://github.com/oscarperpinan/solar

Last synced: 3 months ago
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Solar Radiation and Photovoltaic Systems with R

• Host: GitHub
• URL: https://github.com/oscarperpinan/solar
• Owner: oscarperpinan
• License: gpl-3.0
• Created: 2013-07-28T14:14:41.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2021-10-18T22:50:20.000Z (about 3 years ago)
• Last Synced: 2024-06-11T19:59:44.476Z (5 months ago)
• Language: R
• Homepage: http://oscarperpinan.github.io/solar/
• Size: 9.63 MB
• Stars: 35
• Watchers: 13
• Forks: 13
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• open-sustainable-technology - solaR - Allows for reproducible research both for photovoltaics systems performance and solar radiation. (Renewable Energy / Photovoltaics and Solar Energy)

README

        
solaR

=====

[![CRAN](https://www.r-pkg.org/badges/version/solaR)](https://www.r-pkg.org/pkg/solaR)

[![CRAN RStudio mirror downloads](https://cranlogs.r-pkg.org/badges/solaR)](https://www.r-pkg.org/pkg/solaR)

[![Build Status](https://github.com/oscarperpinan/solar/workflows/R-CMD-check/badge.svg)](https://github.com/oscarperpinan/solar/actions)

[![DOI](https://upload.wikimedia.org/wikipedia/commons/1/11/DOI_logo.svg)](https://doi.org/10.18637/jss.v050.i09)

The `solaR` package allows for reproducible research both for

photovoltaics (PV) systems performance and solar radiation. It

includes a set of classes, methods and functions to calculate the sun

geometry and the solar radiation incident on a photovoltaic generator

and to simulate the performance of several applications of the

photovoltaic energy. This package performs the whole calculation

procedure from both daily and intradaily global horizontal irradiation

to the final productivity of grid-connected PV systems and water

pumping PV systems.

It is designed using a set of `S4` classes whose core is a group of

slots with multivariate time series. The classes share a variety of

methods to access the information and several visualization

methods. In addition, the package provides a tool for the visual

statistical analysis of the performance of a large PV plant composed

of several systems.

Although `solaR` is primarily designed for time series associated to a

location defined by its latitude/longitude values and the temperature

and irradiation conditions, it can be easily combined with spatial

packages for space-time analysis.

# Software #

The stable version of solaR is hosted at

[CRAN](https://cran.r-project.org/package=solaR). The development

version is available at

[GitHub](https://github.com/oscarperpinan/solar/).

Install the stable version with:

    install.packages('solaR')

You can install the development version with the [`remotes`](https://github.com/r-lib/remotes) package:

	remotes::install_github('oscarperpinan/solar')

or with [`devtools`](https://github.com/r-lib/devtools):

    devtools::install_github('oscarperpinan/solar')

# Documentation #

The best place to learn how to use the package is the companion paper

published by the Journal of Statistical Software:

Perpiñán Lamigueiro, O. (2012). solaR: Solar Radiation and

Photovoltaic Systems with R. Journal of Statistical Software, 50(9),

1–32. https://doi.org/10.18637/jss.v050.i09

[This book](https://oscarperpinan.github.io/esf/) (in

Spanish) contains detailed information about solar radiation and

photovoltaic systems. In

[my articles](https://oscarperpinan.github.io/) I frequently use

`solaR`. 

# Citation #

If you use `solaR`, please cite it in any publication reporting

results obtained with this software:

Perpiñán Lamigueiro, O. (2012). solaR: Solar Radiation and

Photovoltaic Systems with R. Journal of Statistical Software, 50(9),

1–32. https://doi.org/10.18637/jss.v050.i09

A BibTeX entry for LaTeX users is:

    @Article{,

        title = {{solaR}: Solar Radiation and Photovoltaic Systems with {R}},

        author = {Oscar Perpi{\~n}{\'a}n},

        journal = {Journal of Statistical Software},

        year = {2012},

        volume = {50},

        number = {9},

        pages = {1--32},

		doi = {10.18637/jss.v050.i09}

      }