研究目的
Investigating the effects of dust accumulation and ambient aerosol concentration levels on the performance of a grid-connected photovoltaic system.
研究成果
Dust accumulation has remarkable impact on efficiency. When the PV panels’ surface was heavily soiled, a decrease of 5.6% in normalized efficiency was estimated. The impact of ambient aerosol concentration levels on PV efficiency is more complex and requires further study. High normalized efficiency figures in general coincide with PM10 concentration not exceeding 50 μg/m3.
研究不足
The amounts of dust accumulated on the panels were not measured, thus the results are only qualitative. The impact of ambient aerosol concentration levels on PV efficiency is more complex and requires further study.
1：Experimental Design and Method Selection:
The study involves performance analysis of a grid-connected PV system in Central Greece, focusing on the effects of dust and aerosols. The methodology includes PR computations, use of a mathematical model’s prediction as a reference value, and normalized efficiency calculation.
2：Sample Selection and Data Sources:
A 99.84 kWp grid-connected photovoltaic system in central Greece was monitored for this study. Data recorded include plane irradiance, backsheet temperature, and AC power at inverter inlet over 6 years.
3：84 kWp grid-connected photovoltaic system in central Greece was monitored for this study. Data recorded include plane irradiance, backsheet temperature, and AC power at inverter inlet over 6 years.
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: The system comprises 416 PV panels connected to 8 inverters. A Dusttrak 8530 aerosol monitor is installed on site for PM10 ambient concentration measurements.
4：Experimental Procedures and Operational Workflow:
The panels are mounted facing south, with a tilt angle of 30 degrees. Data are recorded in a data logger at 15 min’ intervals. Optical inspections were conducted to assess accumulated dust levels on the photovoltaic panels’ surface.
5：Data Analysis Methods:
The analysis is based on three axes: Daily Performance ratio calculation according to EN 61724, use of bilinear model as reference value, and calculation of normalized to STC efficiency.
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