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Deployment of photovoltaic (PV) systems has recently been encouraged for large-scale and small-scale businesses in order to meet the global green energy targets. However, one of the most significant hurdles that limits the spread of PV applications is the dust accumulated on the PV panels’ surfaces, especially in desert regions. Numerous studies so...
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... expert artificial intelligence system was utilized for this aim. The flowchart in Figure 7 shows the mechanism of the expert system, where the computational algorithm, along with the prediction and analyzing knowledge, interacts with the information entered by the end user to generate suitable decisions. Recently, expert system (ES) and expert control system (ECS) techniques are utilized for renewable energy systems in order to enhance the operating and control decisions of non-expert users [30][31][32]. ...
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... Based on their analysis, a 166-day period was offered as the optimum period between two consequent cleaning events [118]. In another study, the amount of dust accumulation is calculated via the power reduction percentage, and the cleaning events are decided based on the environmental conditions [119]. Three combined machine-learning models were used, respectively, for power forecasting, dust detection, and cleaning schedule optimization by using technical data from PV panels [120]. ...
... Studies on ventilation systems are often better realized through numerical simulations. With the development of computer technology, dust removal technology has been greatly improved both in numerical analysis and experimental research [28][29][30]. ...
The mining and its transportation processes generate a substantial quantity of dust, which harms miners' health. The extended inhalation of dust particles could result in pneumoconiosis. There are numerous studies on coal mine dust removal, but only a handful of articles critically comment on it. A systematic coal mine dedusting literature review has been conducted to attempt a comprehensive and reproducible analysis. This article reviews dust suppression methods by experiment in coal mines from three aspects: chemical modification of dust removers, structural improvement of dust removers, and other factors. The review showed that independent experimental research suits dust remover's structural improvement and chemical modification. Compared to non-phytochemical modifications, phytochemical modifications are more efficient and environmentally friendly. The development of dust remover structures concentrates primarily on the nozzle structure, nozzle diameter, the number of holes, and the distance, with the nozzle diameter being of particular significance. Sometimes, tweaking the nozzle structure does not yield significant efficiency improvements. However, supersonic nozzles demonstrate high efficiency and are likely to be a key area of future research. Experiments also investigated other factors' effects on coal mines' dust removal efficacy, including ventilation system, metamorphic degree of coal, and particle diameter. This review provides the latest dust removal technology information for coal mines. Intelligent technology provides the basis for experimental research on dust removal in coal mines. The future trends of experimental research in the coal mine dust control field include intelligent and automated dust control systems, comprehensive control of multiple pollutants, application of new materials and technologies, and interdisciplinary collaboration and cross-disciplinary research.
... In [5], Faris E. Alfaris investigated a significant challenge in deploying PV systems, particularly in desert regions, where dust accumulation on PV panels can hinder their performance. Unlike traditional methods involving cameras, sensors, and power datasets, this study proposes an intelligent, sensorless approach to detect dust levels on PV panels, optimizing attached Dust Cleaning Units (DCUs). ...
Solar Photovoltaic (PV) systems represent key and transformative technology at the forefront of the global shift towards sustainable energy solutions [...]
... [29]. In the case of a risk of PV panels being covered with dust, an AI-based system for detecting the level of dust on PV panels was developed, combined with dust cleaning units, and tested in real field conditions in various weather conditions [30]. AIbased models can recognize location/region specifics, long-term spatial and temporal variables, and anomalies in insolation patterns. ...
Overview: Photovoltaic (PV) systems are widely used in residential applications in Poland and Europe due to increasing environmental concerns and fossil fuel energy prices. Energy management strategies for residential systems (1.2 million prosumer PV installations in Poland) play an important role in reducing energy bills and maximizing profits. Problem: This article aims to check how predictable the operation of a household PV system is in the short term-such predictions are usually made 24 h in advance. Methods: We made a comparative study of different energy management strategies based on a real household profile (selected energy storage installation) based on both traditional methods and various artificial intelligence (AI) tools, which is a new approach, so far rarely used and underutilized, and may inspire further research, including those based on the paradigm of Industry 4.0 and, increasingly, Industry 5.0. Results: This paper discusses the results for different operational scenarios, considering two prosumer billing systems in Poland (net metering and net billing). Conclusions: Insights into future research directions and their limitations due to legal status, etc., are presented. The novelty and contribution lies in the demonstration that, in the case of domestic PV grids, even simple AI solutions can prove effective in inference and forecasting to support energy flow management and make it more predictable and efficient.
... Additionally, the form of dust particles can affect their optical characteristics and their propensity to scatter light [85]. The weight of dust deposits on surfaces can also substantially affect system performance, reducing the quantity of light that arrives on the surface and diminishing the system's overall efficiency [86]. Understanding the characteristics of dust is necessary for creating efficient dust mitigation measures and enhancing the performance of dust-affected systems [86]. ...
... The weight of dust deposits on surfaces can also substantially affect system performance, reducing the quantity of light that arrives on the surface and diminishing the system's overall efficiency [86]. Understanding the characteristics of dust is necessary for creating efficient dust mitigation measures and enhancing the performance of dust-affected systems [86]. There are various devices and techniques used to measure the dust's physical properties and they are presented in the following subsections. ...
... Field studies have been undertaken in a variety of locales across the world, including deserts, rural and urban regions, and climates. Ref. [86] employed light sensors and long-term soiling rates to detect dust for cleaning purposes. Another finding from this study was that dust accumulation was discovered by measuring the voltage and current of the PV system's output; when the system's output fell below 50% of its rated power throughout the day, dust accumulation occurred [86]. ...
As conventional energy sources decrease and worldwide power demand grows, the appeal of photovoltaic (PV) systems as sustainable and ecofriendly energy sources has grown. PV system installation is influenced by geographical location, orientation, and inclination angle. Despite its success, weather conditions such as dust substantially influences PV module performance. This study provides a comprehensive review of the existing literature on the impact of dust characteristics on PV systems from three distinct perspectives. Firstly, the study looks at the dust properties in different categories: optical, thermal, physical, and chemical, highlighting their significant impact on the performance of PV systems. Secondly, the research reviews various approaches and equipment used to evaluate dust’s impact on PV, emphasizing the need for reliable instruments to measure its effects accurately. Finally, the study looks at modeling and predicting the influence of dust on PV systems, considering the parameters that affect electrical, optical, and thermal behavior. The review draws attention to the need for further research into dust’s properties, including thermal conductivity and emissivity. This analysis highlights the need for further research to develop a scientific correlation to predict the thermal behavior of PV in dusty environments. This paper identifies areas for further research to develop more efficient and effective methods for analyzing this influence and improving PV efficiency and lifespan.
The growing energy demand in contemporary societies, coupled with the environmental detriments of conventional energy sources, necessitates a shift towards sustainable alternatives such as solar energy. However, the efficiency of solar energy systems is contingent upon various factors including surface orientation, tilt angle, geographic location, climatic conditions, solar irradiation, humidity, and temperature. Nevertheless, dust deposition on the active surfaces of solar energy systems remains the primary factor that highly impacts the system's energy yield, profitability, and efficiency. This paper provides a comprehensive review of the impact of environmental dust accumulation on the performance of solar energy systems that comprise photovoltaic, flat plate collectors, concentrating solar collectors, or solar chimneys. The objectives of this paper extend to consider economic consequences and the cleaning cost due to dust accumulation on the active surfaces of solar energy systems. The annual revenue loss due to dust accumulation was estimated at up to 35 % for 20 % of solar radiation reduction due to dust accumulation and the cleaning costs ranged from 0.016 to 0.9 $/m2 worldwide, depending on system type, location, and cleaning technique. The present study offers distinctive perspectives on the topic and provide valuable information to policymakers, researchers, end-users, and stakeholders in the solar energy industry.
