Effects of Dust on Photovoltaic Measurements: A Comparative Study

Abstract Installation of renewal energy plant is a vital question for safeguarding cities and human agglomerations against pollution and helping them in the effort to save conventional energy contribution. As it is a widespread issue, PV plants can be located everywhere even in a severe conditions on the proviso that no external depositions, covering and coating the solar module, can alter the photovoltaic efficiency. To solve the problem, practically speaking, diverse solutions are envisaged and among them there is a continuous cleaning of dust by means of water and special liquids. The research proposes a modelling of the effect of dust on efficiency using experimental measurements provided through MPPT (maximum power point tracker) installed in the measuring architecture. Dust covering the PV module reduces the solar irradiance affecting the energy conversion. A comparison has been performed between a clean PV module under MPPT variations and another one of the same technology (CdTe, cadmium telluride) with dust. Both acquisitions have been carried out simultaneously for around one month. Both measurement campaigns agree with the scientific literature.

[1]  D. Caratelli,et al.  Prediction and validation of outcomes from air monitoring sensors and networks of sensors , 2011, 2011 Fifth International Conference on Sensing Technology.

[2]  A. Trotta,et al.  PV Maximum Power Point Tracking Through Pyranometric Sensor: Modelling and Characterization , 2008 .

[3]  Alessandro Massaro,et al.  Characterization of an innovative like-eye sensor for feature detection and robot sensing , 2014 .

[4]  A. Sayyah,et al.  Energy yield loss caused by dust deposition on photovoltaic panels , 2014 .

[5]  M. O. Popescu,et al.  Yield loss of photovoltaic panels caused by depositions , 2011, 2011 7TH INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING (ATEE).

[6]  Nicola Ivan Giannoccaro,et al.  Automatic diagnostic by using a new optical sensor , 2015, 2015 IEEE Metrology for Aerospace (MetroAeroSpace).

[7]  S. Janhäll Review on urban vegetation and particle air pollution – Deposition and dispersion , 2015 .

[8]  Patrizia Vergallo,et al.  Spectral analysis of wind profiler signal for environment monitoring , 2012, 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings.

[9]  P Vergallo,et al.  Thin-film-based CdTe photovoltaic module characterization: measurements and energy prediction improvement. , 2013, The Review of scientific instruments.

[10]  A. Lay-Ekuakille,et al.  Detection Analysis of Small Notches Damages Using a New Tactile Optical Device , 2015, IEEE/ASME Transactions on Mechatronics.

[11]  John K. Kaldellis,et al.  Systematic experimental study of the pollution deposition impact on the energy yield of photovoltaic installations , 2011 .

[12]  A. Lay-Ekuakille,et al.  Predicting VOC Concentration Measurements: Cognitive Approach for Sensor Networks , 2011, IEEE Sensors Journal.

[13]  Rosario Morello,et al.  Geostatistical approach for validating contaminated soil measurements , 2014 .

[14]  Kevin C Jones,et al.  Wet deposition of persistent organic pollutants to the global oceans. , 2005, Environmental science & technology.

[15]  Roy M. Harrison,et al.  A review of receptor modelling of industrially emitted particulate matter , 2014 .

[16]  Aimé Lay-Ekuakille,et al.  Measurements and Characterization of Photovoltaic Modules for Tolerance Verification , 2011, Int. J. Meas. Technol. Instrum. Eng..