Merri Solar Panel Research Project: Report 19 (30th April 2009)


As per prevous reports, households are identified by initials – number of panels – tilt angle - orientation (e.g. SP-6-37-N = Simon Pockley - 6 panels - 37o – North).  [NB. To print - use Landscape format]. Graph #1 shows system outputs beside the number of generating hours for the last fortnight.

 

 

Graph #1. Comparison of system performance 31st Mar – 13th Apr 2009 (ranked by tilt angle)

 

Graph #2 plots the output per panel, for the last fortnight, against tilt angle. This fortnight output was lower than the last fortnight – except for JW (see graph 3).


Graph #2. Tilt angle compared with KWh outputs for the last fortnight followed by previous fortnight values

 

The following graph compares the output per panel for each system since 13th July 2008. I can’t explain the anomaly of JW except that a combination of NE and high tilt angle has lifted output.

 

 

Graph #3. Comparison of systems shows Watts generated per panel.

 

The following graph aligns all the readings (sequenced left to right) with tilt angles. I’m looking for a better way to display the changes through season.

 

 

Graph #4. Comparison of all KWh readings for each system ranked left to right by time and tilt angle.


Photovoltaic panels are not the most efficient means of converting solar energy. The following graph shows the seasonal rate of conversion of the available solar energy. Available solar energy is taken from the Melbourne tables of the Solar Radiation Handbook. The most efficient is MG.

 

 

Graph #5. Comparison of rates of conversion of the available solar energy


This project has been tracking the influence of tilt angle on system output. The table below broadly shows that tilt angles approaching latitude are more productive than flatter angles. However, the major exceptions, MG and DC raise further questions.

 

Graph #6. Comparison of the influence of tilt angle on output, normalised by kWhs per panel.