
Energy Conversion and Management X, Journal Year: 2025, Volume and Issue: unknown, P. 101040 - 101040
Published: April 1, 2025
Language: Английский
Energy Conversion and Management X, Journal Year: 2025, Volume and Issue: unknown, P. 101040 - 101040
Published: April 1, 2025
Language: Английский
Energies, Journal Year: 2025, Volume and Issue: 18(8), P. 1998 - 1998
Published: April 13, 2025
Efficient solar energy capture is crucial for renewable development, particularly in equatorial regions with consistent radiation. This study evaluated the impact of azimuth angle panels on photovoltaic production Loja, Ecuador. Three systems east and west orientations were installed, data continuously collected from June 2022 to May 2023. Descriptive comparative statistical analyses, including one-way ANOVA Kruskal–Wallis tests, employed assess differences between systems. Additionally, an analysis average hourly was conducted better understand diurnal variations their relationship demand. Results showed no significant east- west-oriented systems, although east-facing a slight advantage certain months, October December. Seasonal found have greater influence than orientation, suggesting that climatic factors should be prioritized when designing installations areas. The findings indicate not decisive factor optimizing efficiency Moreover, demonstrated typical daily curve midday peaks, misaligned morning evening demand, which could affect future design strategies.
Language: Английский
Citations
0Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 122, P. 116656 - 116656
Published: April 17, 2025
Language: Английский
Citations
0Energies, Journal Year: 2025, Volume and Issue: 18(8), P. 2110 - 2110
Published: April 19, 2025
This paper proposes a novel hybrid metaheuristic algorithm (MHA) for maximum power point tracking (MPPT), integrating particle swarm optimization (PSO), the differential evolution (DEA), and grey wolf optimizer (GWO). The proposed method is inspired by structural phases of white shark (WSO), recently introduced MHA. study evaluates MPPT performance WSO compares it with approach to provide insights into optimal selection. key contributions include an in-depth analysis framework, benchmarking its against model. Both algorithms are implemented in system assessed based on speed, accuracy, adaptability. results indicate that achieves faster convergence due biologically design, whereas model, despite requiring additional coordination time, ensures comprehensive search space exploration. Notably, excels dynamic efficiency, which crucial accurately following time-varying P-V curves. underscores trade-off between speed demonstrating while advantageous rapid tracking, enhances overall under conditions. These findings offer valuable optimizing strategies renewable energy systems.
Language: Английский
Citations
0Energy Conversion and Management X, Journal Year: 2025, Volume and Issue: unknown, P. 101040 - 101040
Published: April 1, 2025
Language: Английский
Citations
0