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A Review of Solar Forecasting Techniques and the Role of Artificial Intelligence 太阳能预测技术和人工智能作用综述
Pub Date : 2024-02-22 DOI: 10.3390/solar4010005
Khadija Barhmi, Chris Heynen, S. Golroodbari, W. V. van Sark
Solar energy forecasting is essential for the effective integration of solar power into electricity grids and the optimal management of renewable energy resources. Distinguishing itself from the existing literature, this review study provides a nuanced contribution by centering on advancements in forecasting techniques. While preceding reviews have examined factors such as meteorological input parameters, time horizons, the preprocessing methodology, optimization, and sample size, our study uniquely delves into a diverse spectrum of time horizons, spanning ultrashort intervals (1 min to 1 h) to more extended durations (up to 24 h). This temporal diversity equips decision makers in the renewable energy sector with tools for enhanced resource allocation and refined operational planning. Our investigation highlights the prominence of Artificial Intelligence (AI) techniques, specifically focusing on Neural Networks in solar energy forecasting, and we review supervised learning, regression, ensembles, and physics-based methods. This showcases a multifaceted approach to address the intricate challenges associated with solar energy predictions. The integration of Satellite Imagery, weather predictions, and historical data further augments precision in forecasting. In assessing forecasting models, our study describes various error metrics. While the existing literature discusses the importance of metrics, our emphasis lies on the significance of standardized datasets and benchmark methods to ensure accurate evaluations and facilitate meaningful comparisons with naive forecasts. This study stands as a significant advancement in the field, fostering the development of accurate models crucial for effective renewable energy planning and emphasizing the imperative for standardization, thus addressing key gaps in the existing research landscape.
太阳能预测对于太阳能有效并入电网和优化可再生能源管理至关重要。有别于现有文献,本综述研究以预测技术的进步为中心,做出了细致入微的贡献。前面的综述研究了气象输入参数、时间跨度、预处理方法、优化和样本大小等因素,而我们的研究则独特地深入探讨了时间跨度的多样性,从超短间隔(1 分钟到 1 小时)到更长的持续时间(长达 24 小时)。这种时间多样性为可再生能源领域的决策者提供了加强资源分配和完善运营规划的工具。我们的研究强调了人工智能(AI)技术的重要性,特别是在太阳能预测方面的神经网络,并回顾了监督学习、回归、集合和基于物理的方法。这展示了一种多方面的方法来应对与太阳能预测相关的复杂挑战。卫星图像、天气预测和历史数据的整合进一步提高了预测的精确度。在评估预测模型时,我们的研究描述了各种误差指标。虽然现有文献讨论了指标的重要性,但我们的重点在于标准化数据集和基准方法的重要性,以确保准确评估,并促进与天真预测进行有意义的比较。这项研究是该领域的一项重大进展,它促进了对有效的可再生能源规划至关重要的精确模型的开发,并强调了标准化的必要性,从而弥补了现有研究领域的关键差距。
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引用次数: 0
Cu-Doped Sb2Se3 Thin-Film Solar Cells Based on Hybrid Pulsed Electron Deposition/Radio Frequency Magnetron Sputtering Growth Techniques 基于混合脉冲电子沉积/射频磁控溅射生长技术的掺铜 Sb2Se3 薄膜太阳能电池
Pub Date : 2024-02-04 DOI: 10.3390/solar4010004
Roberto Jakomin, S. Rampino, G. Spaggiari, Michele Casappa, Giovanna Trevisi, Elena Del Canale, Enos Gombia, M. Bronzoni, Kodjo Kekeli Sossoe, Francesco Mezzadri, F. Pattini
In recent years, research attention has increasingly focused on thin-film photovoltaics utilizing Sb2Se3 as an ideal absorber layer. This compound is favored due to its abundance, non-toxic nature, long-term stability, and the potential to employ various cost-effective and scalable vapor deposition (PVD) routes. On the other hand, improving passivation, surface treatment and p-type carrier concentration is essential for developing high-performance and commercially viable Sb2Se3 solar cells. In this study, Cu-doped Sb2Se3 solar devices were fabricated using two distinct PVD techniques, pulsed electron deposition (PED) and radio frequency magnetron sputtering (RFMS). Furthermore, 5%Cu:Sb2Se3 films grown via PED exhibited high open-circuit voltages (VOC) of around 400 mV but very low short-circuit current densities (JSC). Conversely, RFMS-grown Sb2Se3 films resulted in low VOC values of around 300 mV and higher JSC. To enhance the photocurrent, we employed strategies involving a thin NaF layer to introduce controlled local doping at the back interface and a bilayer p-doped region grown sequentially using PED and RFMS. The optimized Sb2Se3 bilayer solar cell achieved a maximum efficiency of 5.25%.
近年来,研究人员越来越关注利用 Sb2Se3 作为理想吸收层的薄膜光伏技术。这种化合物因其丰富、无毒、长期稳定,以及可采用各种具有成本效益和可扩展的气相沉积(PVD)工艺而备受青睐。另一方面,改善钝化、表面处理和 p 型载流子浓度对于开发高性能和商业化的 Sb2Se3 太阳能电池至关重要。本研究采用脉冲电子沉积(PED)和射频磁控溅射(RFMS)两种不同的 PVD 技术制造了掺铜的 Sb2Se3 太阳能器件。此外,通过 PED 技术生长的 5%Cu:Sb2Se3 薄膜具有约 400 mV 的高开路电压 (VOC),但短路电流密度 (JSC) 却非常低。相反,RFMS 生长的 Sb2Se3 薄膜则具有约 300 mV 的低 VOC 值和较高的 JSC。为了提高光电流,我们采用了一些策略,其中包括在背面界面引入薄 NaF 层以控制局部掺杂,以及使用 PED 和 RFMS 顺序生长双层 p 掺杂区。优化后的 Sb2Se3 双层太阳能电池的最高效率达到了 5.25%。
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引用次数: 0
A Review of Photovoltaic Module Failure and Degradation Mechanisms: Causes and Detection Techniques 光伏组件故障和退化机制综述:原因和检测技术
Pub Date : 2024-01-09 DOI: 10.3390/solar4010003
Hussain Al Mahdi, Paul G. Leahy, Mohammad Alghoul, Alan P. Morrison
With the global increase in the deployment of photovoltaic (PV) modules in recent years, the need to explore and understand their reported failure mechanisms has become crucial. Despite PV modules being considered reliable devices, failures and extreme degradations often occur. Some degradations and failures within the normal range may be minor and not cause significant harm. Others may initially be mild but can rapidly deteriorate, leading to catastrophic accidents, particularly in harsh environments. This paper conducts a state-of-the-art literature review to examine PV failures, their types, and their root causes based on the components of PV modules (from protective glass to junction box). It outlines the hazardous consequences arising from PV module failures and describes the potential damage they can bring to the PV system. The literature reveals that each component is susceptible to specific types of failure, with some components deteriorating on their own and others impacting additional PV components, leading to more severe failures. Finally, this review briefly summarises PV failure detection techniques, emphasising the significance of electrical characterisation techniques and underlining the importance of considering more electrical parameters. Most importantly, this review identifies the most prevalent degradation processes, laying the foundation for further investigation by the PV research community through modelling and experimental studies. This allows for early detection by comparing PV performance when failures or degradation occur to prevent serious progression. It is worth noting that most of the studies included in this review primarily focus on detailing failures and degradation observed in PV operations, which can be attributed to various factors, including the manufacturing process and other external influences. Hence, they provide explanations of these failure mechanisms and causes but do not extensively explore corrective actions or propose solutions based on either laboratory experiments or real-world experience. Although, within this field of study, there are corresponding studies that have designed experiments to suggest preventive measures and potential solutions, an in-depth review of those studies is beyond the scope of this paper. However, this paper, in turn, serves as a valuable resource for scholars by confining PV failures to critically evaluate available studies for preventative measures and corrective actions.
近年来,随着全球光伏(PV)组件部署的增加,探索和了解其故障机制的需求变得至关重要。尽管光伏组件被认为是可靠的设备,但故障和极端降解仍时有发生。一些正常范围内的退化和故障可能很轻微,不会造成重大伤害。另一些降解和故障最初可能很轻微,但会迅速恶化,导致灾难性事故,尤其是在恶劣环境中。本文根据光伏组件(从保护玻璃到接线盒)的组件,对光伏故障、故障类型及其根本原因进行了最新的文献综述。它概述了光伏组件故障产生的危险后果,并描述了这些故障可能给光伏系统带来的潜在损害。文献显示,每个组件都容易受到特定类型故障的影响,一些组件会自行恶化,而另一些组件则会影响其他光伏组件,导致更严重的故障。最后,本综述简要总结了光伏故障检测技术,强调了电气表征技术的重要性,并强调了考虑更多电气参数的重要性。最重要的是,本综述确定了最普遍的退化过程,为光伏研究界通过建模和实验研究开展进一步调查奠定了基础。这样就可以在发生故障或退化时,通过比较光伏性能进行早期检测,防止问题严重恶化。值得注意的是,本综述中包含的大多数研究主要侧重于详细说明在光伏操作中观察到的故障和退化,这些故障和退化可归因于各种因素,包括制造工艺和其他外部影响。因此,这些研究提供了对这些故障机制和原因的解释,但并未广泛探讨纠正措施,也未根据实验室实验或实际经验提出解决方案。尽管在这一研究领域,也有相应的研究通过设计实验来提出预防措施和潜在的解决方案,但对这些研究的深入评述超出了本文的范围。不过,本文通过对光伏故障进行批判性评估,提出了预防措施和纠正措施,从而为学者们提供了宝贵的资源。
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引用次数: 1
A Review on Solar Drying Devices: Heat Transfer, Air Movement and Type of Chambers 太阳能干燥设备综述:传热、空气流动和干燥室类型
Pub Date : 2024-01-08 DOI: 10.3390/solar4010002
Lisete Fernandes, Pedro B. Tavares
Food waste is one of the biggest challenges we are facing nowadays. According to the Food and Agriculture Organization (FAO) of the United Nations, approximately one-third of all food produced in the world is lost at some stage between production and consumption, totaling 930 million tons of food per year. Meanwhile, 10.5% of humanity suffers from malnutrition, 26% are overweight and greenhouse gases derived from the food industry account for between 25 and 30% of total emissions (8 to 10% referring to food waste), exacerbating the current climate crisis. To address these concerns, there has been a growing inclination to seek alternatives to fossil fuels, including the adoption of solar energy across diverse sectors, including the food industry. Actions are needed in order to change these patterns. This review article aims to provide an overview of recent developments in the field of solar food dehydration and the types of dehydrators that have emerged. Extensive research and bibliographic analysis, including other review articles, have revealed a growing focus on investment in this area to develop solar dehydrators that are increasingly effective but as sustainable as possible.
粮食浪费是我们当今面临的最大挑战之一。根据联合国粮食及农业组织(FAO)的统计,全球约有三分之一的粮食在生产和消费之间的某个阶段损失掉了,每年损失的粮食总量达 9.3 亿吨。与此同时,10.5%的人类营养不良,26%的人体重超重,食品工业产生的温室气体占总排放量的 25%至 30%(8%至 10%指的是食品浪费),加剧了当前的气候危机。为了解决这些问题,人们越来越倾向于寻求化石燃料的替代品,包括在包括食品工业在内的各行各业采用太阳能。需要采取行动改变这些模式。这篇综述文章旨在概述太阳能食品脱水领域的最新发展以及脱水机的类型。广泛的研究和文献分析(包括其他综述文章)表明,人们越来越重视在这一领域的投资,以开发越来越有效但尽可能可持续的太阳能脱水机。
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引用次数: 1
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