Solar-powered compact thermal energy storage system with rapid response time and rib-enhanced plate via techniques of CFD, ANN, and GA

IF 8.9 2区 工程技术 Q1 ENERGY & FUELS Journal of energy storage Pub Date : 2024-11-27 DOI:10.1016/j.est.2024.114807
Gongxing Yan , Jialing Li , Rebwar Nasir Dara , Mohamed Shaban , Raymond GHANDOUR , Fahad M. Alhomayani , Ahmad Almadhor , Ahmed Hendy , Mohammad Nadeem Khan , Nidhal Becheikh
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Abstract

Reducing carbon emissions is a vital approach to combat the global threat of climate change. As energy consumption continues to grow on a global scale, the shift towards renewable energy is crucial for maintaining sustainable development. Solar power, in particular, has emerged as a leading renewable resource due to its widespread availability and the potential to cover a significant portion of global energy demand. Nonetheless, the variability of solar energy poses challenges for ensuring a steady power supply. To overcome this, efficient energy storage systems, such as advanced batteries and thermal energy storage (TES) systems are essential. There is growing attention on solar energy storage, with a particular focus on phase change material (PCM) and TES systems. Here, a compact thermal energy storage (CTES) system with two heat transfer fluid plates and one rib-enhanced PCM plate was investigated to minimize the response time. RT42 was employed as the PCM within the plate. Selected for its suitable melting temperature range of 311.15–315.15 K, RT42 facilitates efficient thermal management, enabling effective storage and release of latent heat. Eight aluminum-made ribs were embedded to allow heat to penetrate deeper into the storage container. According to the several geometric parameters of the ribs such as angle of lower ribs, angle of upper ribs, and the distance between ribs, different configurations of ribbed CTES systems were introduced. Additionally, an artificial neural network-based anticipation model was introduced to predict system's melting performance, facilitating faster and more accurate optimization of design parameters. This innovative approach aids researchers in accelerating their future work on similar energy storage systems. Eventually, an optimal configuration (OC) was derived from the genetic algorithm and the anticipation model. Based on the results, the rib-less specimen took 19,648 s to melt completely, which was 118.2 % longer compared to the OC. This indicated a difference of nearly 3 h between the two systems, underscoring the effectiveness of the optimal configuration in conserving thermal energy throughout the day. Moreover, the rib-less system needed 130.5 % more time to melt 50 % of the PCM and 129.4 % more time to melt 80 % of the material. This stark difference further emphasized the efficiency of the OC in the entire stages of the charging in the CTES system. Among the ribbed specimens, there was a difference of about 41 min in the melting time, which highlights the importance of optimizing the geometric design in TES systems.
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通过 CFD、ANN 和 GA 技术实现具有快速响应时间和肋增强板的太阳能紧凑型热能储存系统
减少碳排放是应对全球气候变化威胁的重要方法。随着全球能源消耗的持续增长,向可再生能源的转变对于保持可持续发展至关重要。特别是太阳能,由于其广泛的可用性和满足全球大部分能源需求的潜力,已成为一种主要的可再生资源。然而,太阳能的多变性给确保稳定供电带来了挑战。为了克服这一问题,先进电池和热能储存(TES)系统等高效储能系统必不可少。人们对太阳能储能的关注与日俱增,尤其关注相变材料(PCM)和热能储存系统。在此,我们研究了一种紧凑型热能存储(CTES)系统,该系统包含两块导热流体板和一块肋增强型 PCM 板,以最大限度地缩短响应时间。板内采用 RT42 作为 PCM。RT42 的合适熔化温度范围为 311.15-315.15 K,有利于进行有效的热管理,实现潜热的有效存储和释放。嵌入的八条铝制肋条可使热量深入储存容器。根据肋条的几个几何参数,如下肋条的角度、上肋条的角度和肋条之间的距离,推出了不同配置的带肋 CTES 系统。此外,还引入了基于人工神经网络的预测模型来预测系统的熔化性能,从而更快、更准确地优化设计参数。这种创新方法有助于研究人员加快今后在类似储能系统方面的工作。最终,遗传算法和预测模型得出了最优配置(OC)。根据结果,无肋试样完全熔化的时间为 19,648 秒,比 OC 长 118.2%。这表明两个系统之间相差近 3 小时,凸显了最佳配置在全天节约热能方面的有效性。此外,无肋系统熔化 50% 的 PCM 需要多花 130.5% 的时间,熔化 80% 的材料需要多花 129.4% 的时间。这一明显差异进一步凸显了 OC 在 CTES 系统整个充电阶段的效率。在带肋试样中,熔化时间相差约 41 分钟,这凸显了优化 TES 系统几何设计的重要性。
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来源期刊
Journal of energy storage
Journal of energy storage Energy-Renewable Energy, Sustainability and the Environment
CiteScore
11.80
自引率
24.50%
发文量
2262
审稿时长
69 days
期刊介绍: Journal of energy storage focusses on all aspects of energy storage, in particular systems integration, electric grid integration, modelling and analysis, novel energy storage technologies, sizing and management strategies, business models for operation of storage systems and energy storage developments worldwide.
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