研究目的
To determine two and half year performance characteristics and degradation rate of poly-crystalline and heterojunction with intrinsic thin layer roof-top photovoltaic units under prevailing weather conditions in the Central Anatolia region.
研究成果
The study found that the heterojunction with intrinsic thin layer (HiT) technology offers a lower degradation rate (nearly 0.1%) compared to poly-crystalline based technology (0.67% to 0.83%). The findings provide valuable insights into the performance and degradation characteristics of different PV technologies under specific climatic conditions, contributing to the understanding of long-term reliability and efficiency of PV systems.
研究不足
The study is limited to the specific climatic conditions of the Central Anatolia region and may not be directly applicable to other regions with different environmental exposures. Additionally, the study period of two and a half years may not fully capture long-term degradation trends.
1：Experimental Design and Method Selection:
The study involved monitoring the performance and degradation of poly-crystalline and heterojunction with intrinsic thin layer (HiT) photovoltaic units over a period of two and a half years under outdoor conditions in the Central Anatolia region. The degradation rates were determined by analyzing the effective peak power and the temperature corrected performance ratio of each technology.
2：Sample Selection and Data Sources:
The study utilized 96 of 250 Wp polycrystalline and 74 of 325 Wp HiT PV panels installed on the rooftop of Solimpeks Solar Corporation in Konya, Turkey. Data on in-plane irradiance, ambient temperature, module temperature, voltage, current, and DC-AC side output parameters were collected in 10 min intervals.
3：List of Experimental Equipment and Materials:
The PV system included poly-crystalline and HiT PV panels, meteorological instruments for weather parameter logging, and a data recording system for electrical parameters.
4：Experimental Procedures and Operational Workflow:
The PV units were monitored from January 2016 to July 2018. The performance and degradation rates were analyzed based on the collected data, focusing on the effective peak power and temperature corrected performance ratio.
5：The performance and degradation rates were analyzed based on the collected data, focusing on the effective peak power and temperature corrected performance ratio.
Data Analysis Methods:
5. Data Analysis Methods: The degradation rate was calculated using a linear least square fitting method of the effective peak power. The temperature corrected performance ratio was also used to predict the degradation rate.
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