Assessing Solar PV Behavior Under Varying Environmental Conditions - A Statistical approach

Accurate prediction of solar PV cell and module behaviour under actual environmental conditions of the application site and selection of the best performing module out of available alternatives is a big challenge for guaranteed payback and reliable operation of any solar PV energy project. The authors have come out with a quick yet reliable methodology for this purpose using quality engineering and statistical tools like DOE, ANOVA, regression modelling and RSM. This methodology is believed to open up a new way of working for solar PV application engineers and BIPV system designers.