Benchmarking reinforcement learning and prototyping development of floating solar power system: Experimental study and LSTM modeling combined with brown-bear optimization algorithm

Energy Conversion and Management, Год журнала: 2025, Номер 332, С. 119696 - 119696

Опубликована: Март 14, 2025

Язык: Английский

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Innovations in improving photovoltaic efficiency: A review of performance enhancement techniques

Energy Conversion and Management, Год журнала: 2025, Номер 327, С. 119589 - 119589

Опубликована: Фев. 1, 2025

Язык: Английский

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Assessment of photovoltaic power potential on Taiwan school rooftops

Renewable and Sustainable Energy Reviews, Год журнала: 2025, Номер 211, С. 115325 - 115325

Опубликована: Янв. 6, 2025

Язык: Английский

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Comparison of Symmetric and Asymmetric Copper Tubing Designs for Improved Cooling in PV/T Systems

E3S Web of Conferences, Год журнала: 2025, Номер 601, С. 00107 - 00107

Опубликована: Янв. 1, 2025

This paper presents an enhanced cooling approach for Photovoltaic/Thermal (PV/T) systems aimed at improving the thermal management and overall efficiency of photovoltaic cells. The comparative study investigates two novel copper tubing designs: symmetric asymmetric serpentine configurations. Both designs were tested under identical conditions with a water flow rate 2.44 L/min to analyze their influence in reducing operating temperature PV modules. numerical results show that design reduced module from 50°C 39.8°C, resulting electrical 16.80% 20.3%. In contrast, lowered 42.7°C, achieving 16.57% 30.40%. findings demonstrate while system excels efficiency, offers energy recovery. Overall, achieved 20.81%, reached 29.40%. this provide valuable insights into efficient PV/T modules, helping strike balance between performance real-world applications.

Язык: Английский

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Numerical Analysis of Counter-Flow Converging Channels for Uniform Temperature Distribution in PV Panels to Enhance Energy Conversion Efficiency

Energy and Built Environment, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

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The rise of perovskite solar cells-based integrated photovoltaic energy conversion-storage systems

Journal of Energy Chemistry, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

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Modelling and optimization of a hybrid photovoltaic-parabolic trough concentrated solar power plant: Technical, economic, and environmental

Energy Nexus, Год журнала: 2025, Номер unknown, С. 100436 - 100436

Опубликована: Апрель 1, 2025

Язык: Английский

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An investigation on surface dust removal via continuous droplets impacting for PV application

Solar Energy, Год журнала: 2025, Номер 295, С. 113556 - 113556

Опубликована: Апрель 29, 2025

Язык: Английский

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Enhancing the Thermal Conductivity and Stability of Cuprous Oxide Nanofluids: Ribose-Mediated Single Step Chemical Synthesis for Solar Energy Applications

Nano Trends, Год журнала: 2024, Номер unknown, С. 100071 - 100071

Опубликована: Дек. 1, 2024

Язык: Английский

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Quantum Marine Predator Algorithm: A Quantum Leap in Photovoltaic Efficiency Under Dynamic Conditions

Information, Год журнала: 2024, Номер 15(11), С. 692 - 692

Опубликована: Ноя. 3, 2024

The Quantum Marine Predator Algorithm (QMPA) presents a groundbreaking solution to the inherent limitations of conventional Maximum Power Point Tracking (MPPT) techniques in photovoltaic systems. These limitations, such as sluggish response times and inadequate adaptability environmental fluctuations, are particularly pronounced regions with challenging weather patterns like Sunderland. QMPA emerges formidable contender by seamlessly integrating sophisticated hunting tactics marine predators principles quantum mechanics. This amalgamation not only enhances operational efficiency but also addresses need for real-time adaptability. One most striking advantages is its remarkable improvement time Compared traditional MPPT methods, which often struggle keep pace rapidly changing factors, demonstrates significant reduction time, resulting up 30% increase under fluctuating irradiance conditions resistive load 100 Ω. findings derived from extensive experimentation using NASA’s worldwide power prediction data. Through detailed comparative analysis existing methodologies, consistently outperforms counterparts, exhibiting superior stability across varying scenarios. By substantiating claims concrete data measurable improvements, this research transcends generic assertions establishes tangible advancement technology.

Язык: Английский

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