Review of the solar flux distribution in concentrated solar power: Non-uniform features, challenges, and solutions

He, Ya‐Ling; Wang, Kun; Qiu, Yu; Du, Bao-Cun; Liang, Qi; Du, Shaowu

doi:10.1016/j.applthermaleng.2018.12.006

Cited by 231 publications

(45 citation statements)

References 153 publications

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“…In recent years, solar energy and nuclear energy have been considered as two promising 2 alternatives to reduce the severe global warming [1] and environment pollutions [2] induced by the utilization of fossil energy [3][4][5]. For the utilization of solar energy, a solar power generation technology called Concentrating Solar Power(CSP) that generates electric power by concentrating sun rays has developed rapidly during the past two decades [6,7]. In this technology, molten nitrate salts are the most commonly used heat transfer fluids and heat storage mediums [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Numerical and experimental study on heat transfer and flow features of representative molten salts for energy applications in turbulent tube flow

Qiu

Sun

et al. 2019

International Journal of Heat and Mass Transfer

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This article investigated the heat transfer performance and flow friction of the molten salts in turbulent tube flow, where four salts including Hitec, Solar Salt, NaF-NaBF4, and FLiNaK were studied. A computational model was developed to analyze the flow and heat transfer features of the salts in the tube, and experiments were conducted to test the heat transfer performance of a representative salt Hitec in the tubes of a salt-oil heat exchanger. Comparison of simulation results with the experimental data shows that the average errors are smaller than ±4%, which validates the simulation model. Based on the model, firstly the influences of heat flux uniformity at the tube outer wall were examined. The results show that the non-uniform wall flux can lead to local high-temperature region but influences little on the flow friction coefficient and the heat transfer performance. Then, the model was utilized to investigate the friction and heat transfer features of the salts under broad ranges of the temperature and the velocity. Comparisons of the simulated heat transfer results with Hansen's, Sider-Tate's and Gnielinski's correlations show that the largest errors can reach +25%, +13% and-15%, respectively. Furthermore, the errors between the simulated friction coefficients and the Filonenko's correlation are smaller than ±2%, which indicates that this correlation is suitable for predicting the friction of the salts. Finally, to predict the heat transfer performance more accurately for these representative salts, a new correlation was developed. It was found that the errors between all simulation results and the proposed correlation are smaller than ±5%, while the corresponding values for 80% experiment data of three salts are also lower than ±5%. The current study can offer beneficial results and correlation for the applications of liquid salts in energy systems.

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Section: Introductionmentioning

confidence: 99%

Numerical and experimental study on heat transfer and flow features of representative molten salts for energy applications in turbulent tube flow

Qiu

Sun

et al. 2019

International Journal of Heat and Mass Transfer

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“…While the current security devices attention to the appearance of the violence, somewhat after the attacker. Further, it focused on the attacker behavior analysis due to it being a challenging problem [26], [27], [28],[29], [30], [31], [32], [33],[34], [35],[36],[37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48],[49], [50].…”

Section: Bsummary Of Other Associated Research Papersmentioning

confidence: 99%

Using ML and Data-Mining Techniques in Automatic Vulnerability Software Discovery

2021

IJATCSE

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Today’s age is Machine Learning (ML) and Data-Mining (DM) Techniques, as both techniques play a significant role in measuring vulnerability prediction accuracy. In the field of computer security, vulnerability is a fault that might be exploited as a risk artist that performs unlawful activities inside computer security. The attackers have several different fitting tools and they are taking advantage to operate software illegally and are using it for getting self-profit. Additionally, that helps to expose and identify the violence external. Weakness management remains a repeating exercise to identify, remediating, and justifying weaknesses. These exercises normally send software faults in computing security. The meaning of using weakness with the same risk might go to misperception. It is possible to have a major effect because of possible stability and the window of weakness presented a risk hole in the software and required to fruitfully finish and smoothly operate. A security room has to be set up (zero-day invaders). Software Security Faults stand serious among unavoidable complications in the realm of computer risk. In this study, we have provided a comprehensive review of three book chapters, more than a hundred research articles papers, and several associated papers of different work that have been studied within the capacity of SVA and discovery applying ML and data-mining techniques. The earlier work has been thoroughly read and an adequately comprehensive summary has been provided in table-1. ML techniques that can professionally handle these attacks and we expect the net result of this survey article to help indesigning the new detection model for identifying the above-mentioned attacks

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“…The concentrated solar power (CSP) system is a promising technology for producing electricity from solar energy and plays a significant role in the energy transformation. Among different CSP types, the solar power tower (SPT) system has received considerable attention, due to its large scale and electricity outputs, which are similar to those of conventional electricity power plants [1,2]. The SPT system mainly consists of the solar heliostats field, the receiver, the thermal storage, and the heat-to-electricity conversion system.…”

Section: Introductionmentioning

confidence: 99%

Thermal Analysis of a Solar External Receiver Tube with a Novel Component of Guide Vanes

Koch

Sarunac

et al. 2021

Energies

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The heat transfer performance of a solar external receiver tube with guide vanes was numerically studied under non-uniform heat flux conditions. Models of the smooth tube and the tube with guide vanes were built. The distributions of the temperature, velocity, turbulence intensity, and Nu predicted by these two models were compared to investigate the heat transfer enhancement and the mixing effect of the guide vanes. The effect of the Re and the α on the heat transfer enhancement was also studied. The results show that the guide vanes form spiraling flows, reduce the maximum tube and molten salt temperatures, and improve the heat transfer. In addition, a more uniform temperature distribution is achieved compared to the smooth tube, allowing the molten salt to work safely under higher heat flux conditions in the receiver tube with guide vanes. It was observed that a larger Re enhances the heat transfer on the tube wall and achieves a longer effective distance of enhanced heat transfer in the downstream region, while the spiraling flow, the heat transfer enhancement, and the mixing are stronger for a larger α.

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Review of the solar flux distribution in concentrated solar power: Non-uniform features, challenges, and solutions

Cited by 231 publications

References 153 publications

Numerical and experimental study on heat transfer and flow features of representative molten salts for energy applications in turbulent tube flow

Numerical and experimental study on heat transfer and flow features of representative molten salts for energy applications in turbulent tube flow

Using ML and Data-Mining Techniques in Automatic Vulnerability Software Discovery

Thermal Analysis of a Solar External Receiver Tube with a Novel Component of Guide Vanes

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