All are cordially invited to attend my final M.Tech presentation.
Venue: Nano-e-conference room
Date: 23rd June
Time: 9:00 AM
Topic: Dry Dust Deposition System and Methodology to Recovery Surface Reflectance of Soiled PV Surface using Raw Image Processing.
Abstract:
It is well-known that soiling of photovoltaic (PV) modules can reduce the power generation, especially in the sunshine countries. An articial dust deposition system which deposits dust on glass samples with good uniformity and repeatability is a powerful tool for the exploration of the impact of soil composition, adhesions etc, in an accelerated fashion under laboratory conditions. We have proposed a dry dust deposition system, where in we aim to imitate the eld soiling process and can deposit dust on 16 small samples simultaneously with 94.6% within-the-sample uniformity. Standard deviation of dust density deposited over all the 16 samples was observed to be 0.009 mg/cm2 for low density deposition (0.16 mg/cm2) and 0.1906 mg/cm2 for high density deposition (2.22 mg/cm2). On comparison with acetonitrile based deposition and water based deposition which can deposit one sample at a time, it was observed that water based deposition and dry deposition showed similarity in losses whereas acetonitrile based deposited samples showed higher loss for dust collected from PV module in the Mumbai area of western India.
Soil patterns over the eld PV modules have a very complex and non-uniform spatial pattern. Thus parameters such as short circuit, maximum power or daily energy provides only an exact picture of impact of soiling on PV. Also, there is no easy way to measure spectral losses for the PV modules present in the eld. A method to estimate the surface reflectance of soiled surface from the raw images has been described in this work. The recovered reflectance is an approximation of polynomial. This method could be very
useful for thermal and electrical simulation and variation in reflectance spectrum will also give an idea about the transmission degradation.
Thanks & Regards
Abhishek Kumar (14307R022)
M.Tech, Microelectronics
Electrical Engineering
IIT Bombay