Metadata-Version: 1.1
Name: solpy
Version: 0.1.8
Summary: Solar Performance and Design library
Home-page: https://github.com/nrcharles/solpy
Author: Nathan Charles
Author-email: ncharles@gmail.com
License: LGPL
Description: solpy
        -------
        Solpy is a python library to model solar system power performance similar to PVWatts or NREL's System Advisor Model(SAM).  I initially started writing this while working in Bangladesh as fairly crude calculator to go from a fisheye panorama to a csv of vectors for shading calculations, however there were several pieces that were added to make it a bit more useful for both analyis and design.  
        Daniel Thomas did work adding the Tang evacuated glass tube model. Pyephem was added for solar positioning.  There is also a simple module for reading TMY3 data. This tool is rudimentary, but functional.  
        
        This is primarily a research and analysis tool and there is no guarantee on the calculations.
        
        Features
        --------
        -Liu & Jordan diffuse irradiance model  
        -Perez et al. diffuse irradiance model  
        -Sandia Inverter model  
        -NEC voltage drop caculations  
        
        Files
        -----
        -enphase.py - Enphase API wrapper  
        -epw.py - EPW weather data  
        -expedite.py - calculate information needed for the expedited permit process  
        -fisheye.py - fisheye image to shading vectors  
        -forecast.py - forecast.io API wrapper  
        -noaa.py - NOAA weather data API wrapper  
        -pv.py - system performance prediction  
        -pvcli - cli interface to pv modeling--
        -tmy3.py - read tmy3 data  
        -vd.py - voltage drop  
        
        Usage
        -----
        PV systems are descibed with json. For example:
        
            {"system_name":"System Name",
                "zipcode":"17601",
                "tilt":34,
                "azimuth":180,
                "phase":1,
                "voltage":240,
                "array":[
                    {"inverter":"SMA America: SB6000US 240V",
                    "panel":"Mage Solar : Powertec Plus 250-6 MNCS",
                    "series":14,
                    "parallel":2}
                    ]
                }
        
        If that json was in a file called template.json, the command to model it would be;
        
        pvcli -f template.json
        
        Ipython
        -------
        This is the sort of project that lends itself nicely to ipython.  Since discovering that project I've tried to make things flow naturally in that enviroment. I really like the inline graphics of the qtconsole.
        
        $ipython qtconsole --colors=Linux --pylab=inline
        
        ![example](http://char1es.net/ipython_pv_example.png)
        
Keywords: solar pv
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)
