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

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

Performance Optimization of Photovoltaic Thermoelectric Systems Based on Phase Change Materials

Renewable Energy, Год журнала: 2024, Номер unknown, С. 122203 - 122203

Опубликована: Дек. 1, 2024

Язык: Английский