Package: bifacialvf
# Bifacial PV View Factor model[![License](https://img.shields.io/badge/License-BSD%203–Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause)[![Build Status](https://travis-ci.org/NREL/bifacialvf.svg?branch=main)](https://travis-ci.org/NREL/bifacialvf)[![DOI](https://zenodo.org/badge/114160149.svg)](https://zenodo.org/badge/latestdoi/114160149)keywords: python, configuration factor model, electrical model mismatch for bifacial modules.## Introductionbifacialvf is a self-contained view factor (or configuration factor) model whichreplicates a 5-row PV system of infinite extent perpendicular to the modulerows. The function returns the irradiance profile along the middle (interior)row by default, but user interface options include‘first’,‘interior’,‘last’, and‘single’. Single-axis tracking is supported, and hourly outputfiles based on TMY inputs are saved. Spatial nonuniformity is reported, withmultiple rear-facing irradiances collected on the back of each module row.Bilinear interpolation code add-on to bifacialvf (description below) to pre-generate IV arrays and bifacial coefficients, and to examine the energy production with back side irradiance mismatch for either a portrait or landscape module.Included are IV curves and bifacial info for a Yingli (standard) module.## Pre-requisitesThis software is written for Python 2 or 3. NREL recommends [Anaconda Python](https://www.anaconda.com/download/).## Install using pip[bifacialvf](https://pypi.org/project/bifacialvf/) is at the Python Package Index (PyPI). Use pip to install the latest release in your conda environment or virtualenv:(myenv)$ pip install bifacialvf### Install development mode from GitHubFor those interested in contributing to bifacialvf:Clone the bifacialvf repository:$ git clone https://github.com/NREL/bifacialvf.git bifacialvf-mainNavigate to the repository directory wheresetup.pyis located:$ cd bifacialvf-mainInstall via pip in development mode:$ pip install -e .## UsageFor usage examples, see the Jupyter notebooks in docs## Licensebifacialvf open source code is copyrighted by the Alliance for Sustainable Energy and licensed with BSD-3-Clause terms, found here.## Citing bifacialVFIf you use bifacial_radiance in a published work, please cite:Marion, B., MacAlpine, S., Deline, C., Asgharzadeh, A., Toor, F., Riley, D., … Hansen, C. (2017). A Practical Irradiance Model for Bifacial PV Modules: Preprint. In 44th IEEE Photovoltaic Specialists Conference. Washington, DC.https://www.nrel.gov/docs/fy17osti/67847.pdf. NREL/CP-5J00-67847Please also cite the DOI corresponding to the specific version of bifacialVF that you used. bifacialvf DOIs are listed at [Zenodo.org](https://zenodo.org/search?page=1&size=20&q=conceptrecid:6369162&all_versions&sort=-version).Silvana Ovaitt, Chris Deline, Mark Mikofski, & Nick DiOrio. (2022). NREL/bifacialvf: v0.1.8 Release (v0.1.8). Zenodo.https://doi.org/10.5281/zenodo.6369162Bilinear Interpolation based on the publications:De Soto, W., Klein, S. A., & Beckman, W. A. (2006). Improvement and validation of a model for photovoltaic array performance. Solar Energy, 80(1), 78–88.https://doi.org/10.1016/j.solener.2005.06.010Marion, B., Rummel, S., & Anderberg, A. (2004). Current–voltage curve translation by bilinear interpolation. Progress in Photovoltaics: Research and Applications, 12(8), 593–607.bifacialvf: Original code by Bill Marion, Python translation by Silvana Ayala, Updates by Chris Deline & teamOriginal bilinear interpolation code by Sara MacAlpine, Python translation & Updates by Silvana AyalaPVMismatch add-on: PVmismatch code from [PVMismatch](https://github.com/SUNPower/PVMismatch), by SunpowerKeywords: bifacial view factor photovoltaics pv
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
Provides-Extra: all