Analytical Modeling of the Temperature Sensitivity of the Maximum Power Point of Solar Cells

Garcia, Alfredo Sanchez; Kristensen, Sissel Tind; Strandberg, Rune

doi:10.1109/jphotov.2022.3178175

Cited by 11 publications

(3 citation statements)

References 13 publications

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“…A problem can arise with low solar radiation intensity values when the power-voltage curve is very flat, making it challenging for the algorithm to find its maximum. Nevertheless, it is one of the most commonly used methods [8,9,11].…”

Section: Perturb and Observe-classic Methodsmentioning

confidence: 99%

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Efficiency Optimization in Multi-Branch Converters through Dynamic Control

Pavlík,

Bereš,

Kováč

et al. 2023

Sustainability

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As the global emphasis on solar energy intensifies, optimizing the efficiency of photovoltaic panels becomes crucial in meeting energy demands sustainably. Addressing this, our research delves deeply into advancing maximum power point tracking (MPPT), a pivotal component in perfecting the energy conversion process. Leveraging state-of-the-art mathematical modeling, in-depth simulations, and comprehensive experimental validation, we set out to markedly refine the performance of non-isolated multi-branch buck DC–DC converters. In this pursuit, we introduce an innovative algorithm meticulously designed to adjust the number of active branches. This adjustment is rooted in robust efficiency metrics, ensuring optimal power delivery even under dynamic and fluctuating conditions. We place a distinct emphasis on the transformative role of current in determining converter efficiency. Drawing from our findings, we advocate for an adaptive control strategy, precisely engineered to thrive in a spectrum of operational contexts. With this study, we not only present pivotal contributions to the domain of photovoltaic technology but also chart out clear expectations for future endeavors. Our hope is that these advancements serve as foundational steps, guiding the evolution of sustainable energy generation.

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Section: Perturb and Observe-classic Methodsmentioning

confidence: 99%

“…Another issue arises when the characteristics of the photovoltaic panel change. Calibration of the system is required after a certain period [11][12][13][14].…”

Section: Perturb and Observe-classic Methodsmentioning

confidence: 99%

Efficiency Optimization in Multi-Branch Converters through Dynamic Control

Pavlík,

Bereš,

Kováč

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…Additionally, SHJ cells have a lower temperature coefficient than their PERC counterparts [28]. This implies that their efficiency will be less affected by temperature variations [29] and will perform better than PERC cells under realistic operating conditions [25].…”

Section: Pv Solar Industry and Trendsmentioning

confidence: 99%

Silicon Solar Cells: Trends, Manufacturing Challenges, and AI Perspectives

Di Sabatino,

Hendawi,

Garcia

2024

Crystals

Self Cite

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Photovoltaic (PV) installations have experienced significant growth in the past 20 years. During this period, the solar industry has witnessed technological advances, cost reductions, and increased awareness of renewable energy’s benefits. As more than 90% of the commercial solar cells in the market are made from silicon, in this work we will focus on silicon-based solar cells. As PV research is a very dynamic field, we believe that there is a need to present an overview of the status of silicon solar cell manufacturing (from feedstock production to ingot processing to solar cell fabrication), including recycling and the use of artificial intelligence. Therefore, this work introduces the silicon solar cell value chain with cost and sustainability aspects. It provides an overview of the main manufacturing techniques for silicon ingots, specifically Czochralski and directional solidification, with a focus on highlighting their key characteristics. We discuss the major challenges in silicon ingot production for solar applications, particularly optimizing production yield, reducing costs, and improving efficiency to meet the continued high demand for solar cells. We review solar cell technology developments in recent years and the new trends. We briefly discuss the recycling aspects, and finally, we present how digitalization and artificial intelligence can aid in solving some of the current PV industry challenges.

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Mathematical modeling of solar cells: novel approaches based on Special Trans Function Theory

Ćalasan

2024

J Comput Electron

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Analytical Modeling of the Temperature Sensitivity of the Maximum Power Point of Solar Cells

Cited by 11 publications

References 13 publications

Efficiency Optimization in Multi-Branch Converters through Dynamic Control

Efficiency Optimization in Multi-Branch Converters through Dynamic Control

Silicon Solar Cells: Trends, Manufacturing Challenges, and AI Perspectives

Mathematical modeling of solar cells: novel approaches based on Special Trans Function Theory

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