
Energy Reports, Год журнала: 2025, Номер 13, С. 6328 - 6348
Опубликована: Май 28, 2025
Язык: Английский
Energy Reports, Год журнала: 2025, Номер 13, С. 6328 - 6348
Опубликована: Май 28, 2025
Язык: Английский
Scientific Reports, Год журнала: 2024, Номер 14(1)
Опубликована: Ноя. 28, 2024
Abstract In this research, enhanced versions of the Artificial Hummingbird Algorithm are used to accurately identify unknown parameters in Proton Exchange Membrane Fuel Cell (PEMFC) models. particular, we propose a multi strategy variant, Lévy Chaotic (LCAHA), which combines sinusoidal chaotic mapping, flights and new cross update foraging strategy. The combination method with PEMFC results significantly improved performance compared traditional methods, such as Particle Swarm Optimization (PSO), Differential Evolution (DE), Grey Wolf Optimizer (GWO), Sparrow Search (SSA), use baselines validate parameters. quantitative demonstrate that LCAHA attains minimum Sum Squared Errors (SSE) 0.0254 standard deviation 4.59E−08 for BCS 500W model, is much lower than SSE values obtained PSO (0.1924) GWO (0.0364), thereby validating superior accuracy stability LCAHA. Moreover, converges faster DE SSA, reducing runtime by about 47%. robustness reliability LCAHA-simulated actual I–V curves across six stacks shown be close alignment.
Язык: Английский
Процитировано
14Applied Sciences, Год журнала: 2024, Номер 14(18), С. 8438 - 8438
Опубликована: Сен. 19, 2024
Solar thermal selective coatings (STSCs) are crucial for enhancing the efficiency of receivers in solar power applications. Enhancing photothermal conversion performance STSCs is improving thermo-economic these sustainable high-temperature Wherefore, this study, we comprehensively review ongoing technologies and enhanced strategies coatings, highlighting their advantages, drawbacks, technological advancements, mechanisms. This examines latest advancements material synthesis, coating structure designs, induced aging mechanisms STSCs. It critically discusses various types STSCs, research techniques employed to assess enhance stability. Lastly, limitations future expectations also highlighted. paper serves as a detailed guide planning implementing diverse
Язык: Английский
Процитировано
7PLoS ONE, Год журнала: 2025, Номер 20(2), С. e0317757 - e0317757
Опубликована: Фев. 20, 2025
Renewable energy technologies offer promise for addressing access and environmental concerns, especially in remote off-grid areas. This paper presents a comprehensive techno-economic analysis of an PV/wind/biomass hybrid system. Employing optimization techniques including the osprey algorithm (OOA), zebra (ZOA), flying foxes (FFO) algorithm, study aims to determine optimal sizing solar PV, wind, biomass, battery components. Using data from Tabuk, Saudi Arabia (28.38° N, 36.56° E), seeks achieve storage components minimize net present cost (NPC) ensure reliable power supply, adhering specified loss supply probability (LPSP) excess thresholds. Three types, namely, flooded lead-acid, lithium iron phosphate (LFP), nickel (Ni-Fe), were analyzed. Results reveal that ZOA outperformed other algorithms, supplying electricity at minimum 0.1285 $/kWh one configuration, with LFP achieving lowest NPC 3.8 M$ case studies constrained LPSP. Across multiple simulations, displayed superior stability convergence characteristics, evidenced by its tight objective function range lower relative error metrics. These findings underscore potential this integrated approach enhance economic viability operational resilience microgrid systems, particularly arid semi-arid regions.
Язык: Английский
Процитировано
1Energy Science & Engineering, Год журнала: 2025, Номер unknown
Опубликована: Март 5, 2025
ABSTRACT Traditional combined cooling, heating, and power (CCHP) systems are highly efficient in energy utilization but face challenges such as high operational costs, CO 2 emissions, complex scheduling. In traditional CCHP systems, typically used large commercial settings like hospitals or shopping centers, daily costs can exceed $1500, emissions often surpass 1.5 tons, limiting broader adoption. This study introduces an improved system (CCHP‐Plus), which integrates photovoltaic thermal (PV/T) technology storage equipments (ESEs) to mitigate these issues. PV/T collectors generate both electricity heat, reducing natural gas dependence, while ESE balances supply demand for enhanced management. The effectiveness of CCHP‐Plus is assessed using three key indicators: primary consumption, cost, emissions. NSGAIII‐AC‐GM delivers a 20% reduction 10% decrease outperforming seven other algorithms optimization efficiency on DTLZ IMOP problems. Furthermore, the algorithm demonstrates superior performance across four scenarios, making it promising solution sustainable systems. These findings offer valuable numerical insights, showcasing system's potential real‐world applications.
Язык: Английский
Процитировано
1Heat Transfer, Год журнала: 2024, Номер unknown
Опубликована: Сен. 10, 2024
Abstract Automotive radiators are primarily utilized in vehicles to dissipate the heat generated by engine block into surrounding. Utilizing coolants with superior thermophysical properties reduces power consumption and improves cooling performance. Comprehending correlation between coolant characteristics its thermohydraulic behavior is essential for advancing this innovative technology. This investigation introduces a detailed parametric study of an automotive radiator using diversified mixtures. Ethylene glycol (EG)/water mixtures, namely, (40:60), (50:50), (60:40) as coolant. The influences operational mechanism parameters, that is, inlet temperature, intake air airflow rate, flowrate, mixture ratio on effectiveness, transfer, fluid flow investigated. A coupled model, based effectiveness‐NTU thermal resistance theories, developed simulation investigated radiator. outcomes revealed transfer rate more significantly influenced temperatures than flowrate. Findings reveal optimal conditions design be (40 EG:60 Water), Reynolds number 1087.5, 2175, 11°C air‐intake 94.25°C temperature maximization. findings also indicated optimum yielded maximum advantage (AR) lowest pumping power, which achieved 7.94% 19.30% higher AR compared (50:50) solutions, respectively. From energy reduction prospective, EG/water results 25.11% 49.77%, respectively, under same operating conditions. Conclusively, optimized explored offers promising approach improving vehicle technology increasing efficiency internal combustion engines.
Язык: Английский
Процитировано
4Alexandria Engineering Journal, Год журнала: 2024, Номер 115, С. 12 - 29
Опубликована: Дек. 11, 2024
Язык: Английский
Процитировано
3Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0International Journal of Hydrogen Energy, Год журнала: 2025, Номер 106, С. 834 - 849
Опубликована: Фев. 8, 2025
Язык: Английский
Процитировано
0Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Март 14, 2025
Proton exchange membrane fuel cells (PEMFCs) have emerged as a promising renewable energy source, generating significant interest in recent years due to their high efficiency, low operating temperature, and durability. Accurately estimating seven unknown parameters the PEMFC electrochemical model is crucial for developing more precise model, thereby improving efficiency performance of systems. For this reason, new optimization method inspired by parrots' (pyrrhura molinaes') behavior, named Parrot Optimizer (PO), introduced here address problem optimal parameter identification ( $$\:{\zeta\:}_{1},\:\:{\zeta\:}_{2},\:{\zeta\:}_{3},\:{\zeta\:}_{4},\:{\lambda\:}_{m},\:{R}_{C},\:\text{a}\text{n}\text{d}\:\beta\:$$ ) models. The estimate these characteristics treated challenging, nonlinear issue that has be addressed with strong technique. paper outlines two improvements basic PO algorithm: first involves employing Opposition-based Learning boost search refine candidate solution generation. second integrates Local Escaping Operator exploration capabilities mitigate risk getting trapped local optima, enhance overall convergence behavior. IPO was rigorously validated through application benchmark functions assess its performance. Three distinct stacks, NedStackPS6, BCS Stack, Ballard Mark V, been used empirically demonstrate efficacy improved optimizing model. Several recognized modeling approaches from literature are comprehensive examination show method's dependability. V units, corresponding SQE values 2.065816 0.012457 0.814325 V. demonstrates 12.87% improvement best measure an 88.37% reduction standard deviation compared PO. results designed approach, including sensitivity analysis, correctly characterizes effectively achieves lowest consistent trajectories.
Язык: Английский
Процитировано
0Energy, Год журнала: 2025, Номер unknown, С. 136079 - 136079
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
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