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Journals / Inspiring Technologies and Innovations / 2023 / Cilt: 2 Sayı: 2

Pv/T Systems For Energy Efficiency By Using Advanced Deep Neural Network (DNN) And Nanofluid In Solar Systems

Rezvan Rezaeizadeh(University of Guilan)0000-0001-6219-6174
Ettahır El Hadı Alı Omar Swese(KASTAMONU ÜNİVERSİTESİ)0000-0001-5792-4261
Aybaba Hançerlioğulları(KASTAMONU UNIVERSITY)0000-0002-9830-4226
Pages
26–31
Publication Date
2024-01-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The proposed DNN based MPPT algorithm is developed PV/T voltage, current and corresponding duty cycle.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Today, solar energy is a very popular alternative energy source due to its enormous availability in nature.
📊
Key Findings & Data:For this, it is to integrate a power-generating PV/T panel and a solar thermal heating panel within the same collection surface.
💡
Conclusion & Impact:The proposed DNN based MPPT algorithm is developed PV/T voltage, current and corresponding duty cycle.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:PV/T · MPPT · DNN

Abstract

Today, solar energy is a very popular alternative energy source due to its enormous availability in nature. In this study, focusing on the electro-mechanical production industry of advanced PV/T solar panels, studies carried out on the development of new methodological methods for the efficiency of existing asset management practices of the infrastructure of this industry and the optimal improvement . For this, it is to integrate a power-generating PV/T panel and a solar thermal heating panel within the same collection surface. In this research, it was implemented using a new roof-mounted PV/T multi-reflection panel, which not only increases the power output of the PV/T panel, but most importantly, the aesthetic aspect is a major barrier to large-scale uptake of PV/TIn this study, we developed a new advanced MPPT(maximum power point tracking) algorithm such as Deep Neural Network (DNN) controller especially for photovoltaic system. The proposed DNN based MPPT algorithm is developed PV/T voltage, current and corresponding duty cycle.

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Cite This Article

Rezaeizadeh, R., Swese, E. E. H. A. O., Hançerlioğulları, A. (2024). Pv/T Systems For Energy Efficiency By Using Advanced Deep Neural Network (DNN) And Nanofluid In Solar Systems. Inspiring Technologies and Innovations, Cilt: 2 Sayı: 2, 26–31. https://ajindex.com/articles/1616287

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