Analytical framework for the assessment and modelling of multi-junction solar cells in the outdoors

Abstract

The assessment of multi-junction solar cells often relies on numerically intensive computations. Specifically, the power conversion efficiency strongly depends on the interplay between optical and electrical properties of different materials. Here, a compact and highly accurate analytical framework is proposed, facilitating the analysis of multi-junction solar cells; explicit yet simple analytical equations allow to assess the power conversion efficiency as a direct function of the cell's parameters, without restrictive assumptions. They are first used to compare the performance of the industrial state-of-theart to multi-junction approaches. Therefore, minute data products are obtained from free satelliteservices for different climatic zones over 14 years. Any variations in the operating temperature, sunshine duration, Sun's position, meteorological condition or atmospheric chemistry are thereby accounted for. Similarly, a strong site dependency is found for perovskite-on-silicon tandem cells under real-world conditions. For this, a scattering-matrix treatment is formulated based on incoherent sunlight as the relevant case. While this study gives new theoretical insights about the impact of the cell's parameters on the conversion efficiency, it also presents a powerful analytical tool for the design and assessment of more efficient solar cells in the outdoors.

Adaptive Design of Solar-Powered Energy Systems Based on Daily Clearness State Evolution

“…The obtained PDFs and corresponding CDFs by DKDE at different DCSs are shown in Figure 4. Due to the uniform [0, 1] property of the CDF, the stochastic CI can be obtained from the inverse CDF by generating a random variable of uniform [0, 1], as shown in Equation (15).…”

“…Radiation data is usually based on typical days (weeks, months, or years) or on historical measured sequences. While one could track the total global solar spectrum on 2 of 16 an inclined plane using satellite datasets [15], this approach may provide valuable insights into solar radiation dynamics, but it demands significant computational resources and data processing efforts. In addition, even if analytical methods potentially offer deterministic results for specific scenarios, they will not fully address the variability inherent in real-world HES conditions [16].…”

Recent approach of wild horse optimizer for identifying the optimal parameters of high efficiency triple‐junction solar system

“…The authors considered the software to be ideal, this assumption caused mitigation of the solar cell efficiency although the surface texturing has been added. Schuster [23] developed an analytical framework to analyze the performance of TJSC and assess its conversion efficiency, the author considered uniform distribution of the temperature on the sub‐cells. A model for perovskite‐based MJPV was presented using energy yield model [24], the constructed model helped in calculating the extracted power.…”