研究目的
To quantify the effects of wind and other meteorological variables on PV electricity output and to test the hypotheses that (1) wind will have the greatest influence after solar radiation and ambient temperature on the overall electricity output, and (2) solar panels will generate more electricity when winds originate from southerly azimuths compared to northerly equivalents, with larger differences at higher wind speeds.
研究成果
The study found that wind direction significantly influences PV electricity generation, with southerly winds producing more electricity than northerly winds. Incorporating wind direction into PV electricity output predictions could improve accuracy. Solar park design and location could be optimized to capitalize on wind benefits, enhancing electricity outputs and profitability.
研究不足
The study is location-specific, reflecting the unique climatological, technical, and site management characteristics of Westmill Solar Park. Further research is needed to generalize findings across different climatic regions and solar park designs.
1:Experimental Design and Method Selection:
The study used meteorological and PV panel production data from Westmill Solar Park, Oxfordshire, UK, to examine the influence of wind, cloud, ambient temperature, and relative humidity on PV electricity output. The data was collected over a twelve-month period and analyzed using statistical methods.
2:Sample Selection and Data Sources:
Data included wind velocity, solar radiation, ambient temperature, relative humidity, and PV panel temperature and production, sampled every minute and averaged over hourly periods.
3:List of Experimental Equipment and Materials:
Equipment included Tempcon HOBO data loggers, Delta-T BF5 sunshine recorder, GP1 data logger, and a three-cup anemometer.
4:Experimental Procedures and Operational Workflow:
Data was quality controlled, and only 'daytime' data was used. The data was split into northerly and southerly wind subsets and categorized into bins for analysis.
5:Data Analysis Methods:
Statistical analyses were conducted using R programming software, including multiple regression and paired samples t-tests to determine the influence of meteorological variables on PV electricity output.
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