研究目的
Investigating the performance characteristics of a 233 Wp HIT PV module under high and low irradiance conditions compared to standard test conditions in Algeria.
研究成果
The study revealed that the HIT PV module's performance characteristics are significantly influenced by real-time weather conditions, including ambient and module temperature, relative humidity, and wind speed. The efficiency of the module varied from the STC under high and low irradiance conditions, indicating the importance of considering local weather conditions in PV module performance assessments.
研究不足
The study is limited to the specific conditions of Saida City, Algeria, and the performance characteristics may vary in different geographical locations. The influence of weather parameters, while significant, may not fully account for all variations in module performance.
1:Experimental Design and Method Selection
The study involved exposing the HIT PV module to outdoor conditions at Saida City, Algeria, and monitoring its performance under high and low irradiance situations over a year. The methodology included evaluating characteristic parameters such as open circuit voltage, short circuit current, maximum power, efficiency, and fill factor.
2:Sample Selection and Data Sources
Data was collected from January 2014 to December 2014, focusing on the highest and lowest irradiance data sets for each month.
3:List of Experimental Equipment and Materials
Instruments used included an IV curve tracer and PV scanner, pyranometer (Hukse Flux SR20), thermocouple (Vaisala HMP155), anemometer (Young 05106 sensor), and hygrometer (Vaisala HMP155).
4:Experimental Procedures and Operational Workflow
The module was tested under three conditions: high irradiance, low irradiance, and standard testing conditions (STC). Data on weather parameters like ambient temperature, module temperature, wind speed, and relative humidity were continuously monitored.
5:Data Analysis Methods
The maximum power, efficiency, and fill factor were evaluated using specific equations based on the current-voltage curve of the monitored data.
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