Local Variability in PV Soiling Rate

@article{Gostein2018LocalVI,
  title={Local Variability in PV Soiling Rate},
  author={Michael Gostein and Kendra Passow and Michael G. Deceglie and Leonardo Micheli and Bill Stueve},
  journal={2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC \& 34th EU PVSEC)},
  year={2018},
  pages={3421-3425}
}
  • M. Gostein, K. Passow, B. Stueve
  • Published 1 June 2018
  • Environmental Science
  • 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC)
We examine the correlation between monthly PV system soiling rates over a multi-year period within two groups of First Solar soiling stations in separate regions of California as a function of site separation. The results demonstrate large seasonal variations in monthly soiling rates, with seasonal patterns that differ between sites. Monthly patterns at nearby sites were more highly correlated, suggesting that soiling rates can be strongly affected by local geography and weather. For the two… 

Figures and Tables from this paper

Analysis and mitigation of nonuniform soiling distribution on utility‐scale photovoltaic systems
The present paper evaluates the soiling losses of a 3.25‐MW photovoltaic (PV) system installed in central Chile, 200 km north of Santiago, and analyzes the nonuniform soiling deposition between the
Field Testing of Mars™ Soiling Sensor
We report on an ongoing field evaluation of the Mars™ optical soiling sensor technology. The Mars™ soiling sensor was developed to provide a compact, low-cost, water-free and maintenance-free method
Evaluating the Accuracy of Various Irradiance Models in Detecting Soiling of Irradiance Sensors
We evaluate the feasibility of using various clear-sky models or purchased satellite data for estimating the soiling of a reference cell irradiance sensor. We find results to be more accurate for
Extracting and Generating PV Soiling Profiles for Analysis, Forecasting, and Cleaning Optimization
The identification and prediction of the daily soiling profiles of a photovoltaic site is essential to plan the optimal cleaning schedule. In this article, we analyze and propose various methods to
Incidence angle and diffuse radiation adaptation of soiling ratio measurements of indirect optical soiling sensors
Soiling is responsible for a loss of 3%–4% of the potential global solar power production that is estimated to rise because of increased deployment in dusty environments [Ilse et al., Joule 3,
Modelling photovoltaic soiling losses through optical characterization
TLDR
It was found that natural soiling disproportionately impacts the blue and ultraviolet portions of the spectrum compared to the visible and infrared (IR) spectrum.

References

SHOWING 1-9 OF 9 REFERENCES
An investigation of the key parameters for predicting PV soiling losses
One hundred and two environmental and meteorological parameters have been investigated and compared with the performance of 20 soiling stations installed in the USA, in order to determine their
Measuring soiling losses at utility-scale PV power plants
The effect of dust, dirt, and other contaminant accumulation on PV modules, commonly referred to as soiling, is an important environmental factor that causes reduced PV power plant energy generation.
Quantifying Soiling Loss Directly From PV Yield
Soiling of photovoltaic (PV) panels is typically quantified through the use of specialized sensors. Here, we describe and validate a method for estimating soiling loss experienced by PV systems
A scalable method for extracting soiling rates from PV production data
TLDR
An approach that is based on prevailing methods, which consider the change in energy production during dry periods, by considering a statistical sample of soiling intervals from each site under consideration and utilizing the robust Theil-Sen estimator for slope extraction from these intervals is described.
Comparing PV power plant soiling measurements extracted from PV module irradiance and power measurements
The accumulation of dust and other environmental contaminants on PV modules, also known as PV module soiling, is a significant source of lost potential power generation for PV installations.
Modeling of photovoltaic soiling loss as a function of environmental variables
Assessment of PM dry deposition on solar energy harvesting systems: Measurement–model comparison
ABSTRACT Soiling of solar energy systems, or the accumulation of particulate matter on their surface, can cause significant losses in energy conversion efficiency. However, predicting these losses is
Time series analysis of photovoltaic soiling station data
  • NREL/TP-5J00- 69131, September 2017.
  • 2017
US Environmental Protection Agency , “ Air quality system data mart [ internet database ] . ” [ Online ]