{"title":"Enhancing phase change energy storage efficiency: Performance optimization of Fibonacci fractal fins under fluctuating heat source","authors":"Fan Ren , Qibin Li , Lei Shi","doi":"10.1016/j.solmat.2025.113859","DOIUrl":null,"url":null,"abstract":"<div><div>Solar power, though an essential renewable energy source, suffers from intermittency and fluctuations, leading to reduced efficiency in thermal storage systems. This research examines an enhanced three-tube latent heat storage system (TES) incorporating Fibonacci fractal tree-shaped fins, an innovative design developed to optimize heat transfer performance. The results reveal that increasing the fin branching angle significantly improves heat transfer efficiency within the TES system. Furthermore, both the period and amplitude of sinusoidal fluctuating heat sources exert considerable influence on phase change material (PCM) temperature distribution and thermal storage capacity. Through multi-objective optimization employing the non-dominated sorting genetic algorithm (NSGA-II) algorithm, the study determines an optimal system configuration achieving a melting time of 151.18 s and thermal storage capacity of 576.32 kJ. The optimized parameters consist of a 109.99-s sinusoidal period, 12.50 K amplitude, and 102.07°branching angle. The key innovation of this study resides in the synergistic integration of bio-inspired fractal fin structures with advanced multi-objective optimization algorithms, which establishes a novel approach for addressing intermittency challenges in solar thermal energy storage systems.</div></div>","PeriodicalId":429,"journal":{"name":"Solar Energy Materials and Solar Cells","volume":"293 ","pages":"Article 113859"},"PeriodicalIF":6.3000,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Solar Energy Materials and Solar Cells","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S092702482500460X","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Solar power, though an essential renewable energy source, suffers from intermittency and fluctuations, leading to reduced efficiency in thermal storage systems. This research examines an enhanced three-tube latent heat storage system (TES) incorporating Fibonacci fractal tree-shaped fins, an innovative design developed to optimize heat transfer performance. The results reveal that increasing the fin branching angle significantly improves heat transfer efficiency within the TES system. Furthermore, both the period and amplitude of sinusoidal fluctuating heat sources exert considerable influence on phase change material (PCM) temperature distribution and thermal storage capacity. Through multi-objective optimization employing the non-dominated sorting genetic algorithm (NSGA-II) algorithm, the study determines an optimal system configuration achieving a melting time of 151.18 s and thermal storage capacity of 576.32 kJ. The optimized parameters consist of a 109.99-s sinusoidal period, 12.50 K amplitude, and 102.07°branching angle. The key innovation of this study resides in the synergistic integration of bio-inspired fractal fin structures with advanced multi-objective optimization algorithms, which establishes a novel approach for addressing intermittency challenges in solar thermal energy storage systems.
期刊介绍:
Solar Energy Materials & Solar Cells is intended as a vehicle for the dissemination of research results on materials science and technology related to photovoltaic, photothermal and photoelectrochemical solar energy conversion. Materials science is taken in the broadest possible sense and encompasses physics, chemistry, optics, materials fabrication and analysis for all types of materials.