太阳能热水器和太阳能集热器的最新进展:实验和神经网络分析综述

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY Results in Engineering Pub Date : 2025-03-01 Epub Date: 2025-02-18 DOI:10.1016/j.rineng.2025.104394
Rasaiah Naveenkumar , Rajaraman Venkateshkumar , Vinayagam Mohanavel , Chelladurai Franklin , Sikiru Oluwarotimi Ismail , Manickam Ravichandran , Sathish Kannan , Manzoore Elahi M. Soudagar
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引用次数: 0

摘要

太阳能热水器(SWHs)和太阳能集热器(SCs)是近年来发展起来的重要的可再生能源技术,因为它们比传统能源具有许多优点。为了进一步提高其热性能和效率,研究人员和工程师对系统进行了各种修改。这些改进包括将SWHs与存储集热器集成,将SWHs与光伏电池结合,将热虹吸和扭曲带集成,在集热器中添加纳米流体,相变材料以及使用不同类型的真空管SCs。此外,材料、设计和操作条件的改进导致抛物线槽和线性菲涅耳超导的性能增强。此外,这些改进使污水处理厂更具成本效益,并产生高效率的污水处理厂,使它们在商业、工业和住宅应用中越来越有吸引力。最近的研究有望提高它们的性能和经济适用性,使它们成为更可行和可持续的能源设备。因此,本文对SWHs和SCs的各种最新改造进行了详细的讨论,以提高其效率,并报道了人工神经网络(ANN)在SWHs和SCs中的应用,这是早期研究中所缺乏的。这篇简明扼要的文章提供了加强水处理厂和SCs利用可再生、丰富、可持续和环保的太阳能的技术。它还阐述了他们未来的考虑,作为进一步工作的范围,并朝着清洁能源设备的进步。
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Recent developments in solar water heaters and solar collectors: A review on experimental and neural network analyses
Solar water heaters (SWHs) and solar collectors (SCs) are crucial renewable energy technologies that have developed attractiveness in recent years, as a result of their several benefits over traditional energy sources. To further enhance their thermal performances and efficiencies, researchers and engineers have implemented various modifications in the systems. The modifications include integrating SWHs with storage collectors, combining SWHs with photovoltaic cells, integrating thermosyphon and twisted tapes, enriching collectors with nanofluids, phase change materials and using different types of evacuated tube SCs. Furthermore, improvement in materials, design and operating conditions have led to performance enhancement of parabolic trough and linear Fresnel SCs. In addition, the modifications have enabled SWHs to be more cost-effective and resulted to efficient SCs, making them increasingly attractive for several commercial, industrial and residential applications. Recent studies are expected to enhance their performance and economic suitability, making them more viable and sustainable energy devices. Hence, an elaborated discussion on various state-of-the-art modifications in SWHs and SCs to enhance their efficiencies and the application of artificial neural network (ANN) in SWHs and SCs is reported in this comprehensive review, which is lacking in the earlier studies. This compendious article provides the techniques for enhancing both SWHs and SCs to leverage renewable, abundantly available, sustainable and environmentally friendly solar energy. It also expatiates on their future considerations, as a scope for further works and towards advancement in clean energy devices.
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来源期刊
Results in Engineering
Results in Engineering Engineering-Engineering (all)
CiteScore
5.80
自引率
34.00%
发文量
441
审稿时长
47 days
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