Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 99, P. 113232 - 113232
Published: Aug. 13, 2024
Language: Английский
Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 99, P. 113232 - 113232
Published: Aug. 13, 2024
Language: Английский
Energy Conversion and Management X, Journal Year: 2024, Volume and Issue: 22, P. 100599 - 100599
Published: April 1, 2024
The widespread use of green energy sources creates a significant demand for storage. Hybrid floating photovoltaic (FPV) and pumped hydro storage (PHS) represent one the most dependable cost-effective solutions, which uses PV system on water body combined with pair lakes different heights. This study focuses load side as well PHS capacity factor aims to lower cost (COE) by raising factor. Since building requires upfront investment, doing so will also COE enable acquisition large-scale power production, guarantee access in large cities. To simulate FPV-PHS system, multi-objective genetic algorithm (MOGA) is employed. Sufficient management prerequisite achieving reliability best possible hybrid design implementation. Considering 60-year lifespan, net present (NPC) analysis shows that, out all communities evaluated, has lowest NPC COE. For optimal configuration (FPV (Block A) 105 MW, 80 FPV B) 357 current hydropower plant), expected costs implementing (HRS) at chosen location are $44,737,613 $40/MWh, respectively. existing spans 4.65 km2 lowers evaporation fraction 17,279,400 m3. reduces annual CO2 emissions 581,830 tons. Our research reveals that pump offers more steady clean electricity, implying great significance grid infrastructure.
Language: Английский
Citations
20Energy Conversion and Management, Journal Year: 2025, Volume and Issue: 326, P. 119529 - 119529
Published: Jan. 17, 2025
Language: Английский
Citations
1Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 143765 - 143765
Published: Sept. 1, 2024
Language: Английский
Citations
4Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 113, P. 115574 - 115574
Published: Feb. 5, 2025
Language: Английский
Citations
0Sensors, Journal Year: 2025, Volume and Issue: 25(5), P. 1295 - 1295
Published: Feb. 20, 2025
The global installation capacity of solar photovoltaic (PV) systems is exponentially increasing. However, the accumulation soil and debris on panels significantly reduces their efficiency, necessitating frequent cleaning to maintain optimal energy output. This study presents a deep learning-based approach for recognition classification soiled PV images, aimed at enhancing capabilities robots through HALCON software framework. Using EANN CNN architecture along with advanced image processing techniques, proposed system achieves precise detection soiling patterns. framework facilitates acquisition, preprocessing, segmentation, deployment trained models robotic control. demonstrate exceptional accuracy, achieving precision 99.87% 99.91%, respectively. Experimental results highlight system’s potential improve automation strategies, reduce unnecessary cycles, enhance overall performance panels. research underscores transformative role intelligent visual analysis in optimizing maintenance practices renewable applications.
Language: Английский
Citations
0Renewable and Sustainable Energy Reviews, Journal Year: 2025, Volume and Issue: 217, P. 115770 - 115770
Published: April 23, 2025
Language: Английский
Citations
0Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: May 9, 2025
Access to reliable, economical, and sustainable energy is a critical challenge in remote communities where infrastructure constraints unreliability of renewable sources (RESs) complicate the possibility having stable supply. This study motivated by urgent need for intelligent, adaptive management systems that can ensure reliability supply while maximizing use RESs. To meet this need, an scalable multi-agent system (MAS) framework hybrid be employed. The includes electric vehicle batteries (EVBs), hydrogen storage (HESSs), battery (BESSs) wind turbines (WTs) PV. A backup architecture continuity low availability RESs, addition vehicle-to-grid (V2G) functionality enabling EVBs support grid stability. MAS evaluated under four scenarios: PV-WTs-BESSs, PV-WTs-BESSs-EVBs, PV-WTs-BESSs-HESSs, PV-WTs-BESSs-EVBs-HESSs. Scenario 4 attains lowest operating cost $10,688.06, reduction 0.91% from scenario 1, 25 kW peak load microgrid. artificial gorilla troops optimizer optimizes real-time dispatch learning adjust changing conditions. Simulation results confirm proposed improves cost-effectiveness, stability, sustainability constrained settings.
Language: Английский
Citations
0Arabian Journal for Science and Engineering, Journal Year: 2025, Volume and Issue: unknown
Published: May 11, 2025
Language: Английский
Citations
0AEU - International Journal of Electronics and Communications, Journal Year: 2024, Volume and Issue: unknown, P. 155625 - 155625
Published: Dec. 1, 2024
Language: Английский
Citations
1Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 99, P. 113232 - 113232
Published: Aug. 13, 2024
Language: Английский
Citations
0