研究目的
To develop an estimation model of the POA irradiance for a photovoltaic installation equipped with ?at re?ectors and to optimize the geometrical configuration for maximum POA irradiance.
研究成果
The study successfully developed and validated a POA irradiance estimation model for PV installations with flat reflectors. The optimization process highlighted the significant impact of reflector length and angular variation frequency on system efficiency. A monthly-varied architecture was found to be the most advantageous, with annual gains in POA irradiance increasing significantly with reflector length. However, the study's applicability is limited to specific geographical and weather conditions, and further research is needed to generalize the findings.
研究不足
The study's results are specific to the geographical location and weather conditions of the SIRTA Observatory in Palaiseau, France, during the period from June 2017 to June 2018. The model does not consider edge effects in the estimation of POA irradiance with re?ectors.
1:Experimental Design and Method Selection:
The study involved developing a Matlab POA irradiance estimation model using measured irradiances data from SIRTA observatory, including GHI, DHI, and BNI. The model considered solar angles, geometrical position, orientation, and dimensioning of the PV-Re?ector architecture, as well as ground and mirror’s reflection properties.
2:Sample Selection and Data Sources:
Measurements were taken at the SIRTA Observatory in Palaiseau, France, from June 2017 to June
3:List of Experimental Equipment and Materials:
20 The experimental setup included a solar pyranometer (Hukse?ux SR01) and reference PV cells (SOLEMS RG100) for POA irradiance measurements.
4:Experimental Procedures and Operational Workflow:
The model was validated experimentally with and without re?ectors over two periods. The optimization process involved varying the re?ector’s length and the angular variation frequency to find the optimal configuration for maximum POA irradiance.
5:Data Analysis Methods:
Error indicators such as MBE, RMBE, MAE, and RMAE were calculated to compare simulation results with measurements.
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