.. _package_overview: Package Overview ================ The following section describes some of the functionalities of bifacial_radiance, and how the software is structured. For a SUPER complete explanation and package overview, we highly recommend you watch our `Webinar tutorial video `_. (`Slides here `_. bifacial_radiance is a python wrapper for calling and using Radiance, with specific functions to generate geometry (text files) related to bifacial photovoltaic systems .. image:: ../../../images_wiki/Webinar/wrapper.png :width: 600 A full example might look like: .. code-block :: python from bifacial_radiance import * demo = RadianceObj() demo.setGround() epwfile = demo.getEPW(37.5, -77.6) metdata = demo.readWeatherFile(epwfile) demo.gendaylit(2000) myModule = demo.makeModule ("My_panel", x=1,y=2) sceneDict = {'tilt':30, 'pitch':3, 'clearance_height':0.5, 'azimuth':180, 'nMods':10, 'nRows':4} scene = demo.makeScene(myModule, sceneDict) octfile = demo.makeOct() analysis = AnalysisObj(octfile, demo.name) frontscan, backscan = analysis.moduleAnalysis(scene) analysis.analysis(octfile, demo.name, frontscan, backscan) What this example is showing are the main/minimum instructions or steps needed to run a simulation, which are: 1. Make a Radiance Object 2. Make Sky - generates a hourly or cumulative sky based on the given weather file irradiance data. Saves files in skies folder and in main folder. 3. Make Module - creates a module of your desire. Cell-level module, and 1-up or more configurations. Saves the module info as a .rad in objects folder. 4. Make Scene - replicates your module at the desired pitch/tilt for desired number of rows / modules per row. Saves the scene info as a .rad in objects folder. 5. Make Oct - creates a .oct file that ties Sky, Module, and Scene. 6. Analysis Obj - calculates the coordinates that will be sampled for irradiance. You can specify any module and row desired or custom coordinates. 7. Analysis - runs the Radiance rtrace command and saves the measured irradiance values for the surface specified in the results folder. .. image:: ../../../images_wiki/Webinar/mainsteps.png :width: 600 Each of this steps has more options than described here, so we really recommend looking at the `Webinar tutorial `_ And our `Jupyter Notebook tutorials `_, as well as the :ref:`manualapi` as each function has description of input parameters.