A review of the application performances of concentrated solar power systems

Gonzalo, Alfredo Peinado; Marugán, Alberto Pliego; Márquez, Fausto Pedro García

doi:10.1016/j.apenergy.2019.113893

Cited by 103 publications

(15 citation statements)

References 142 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The heliostat shape however should additionally consider wind loads and turbulence to drop the cost below 100 $/m 2 [60]. Furthermore, mirror soiling, erosion, aging and degradation [1] are further points for consideration affecting the annual performance of CSP plants. Methods integrating ray tracing and for on site characterization [61,62] and misalignment have been reported [56].…”

Section: Advances In Heliostat Layoutsmentioning

confidence: 99%

Concentrating Solar Power Advances in Geometric Optics, Materials and System Integration

Arnaoutakis

Katsaprakakis

2021

Energies

View full text Add to dashboard Cite

In this paper, the technological advances in concentrating solar power are reviewed. A comprehensive system approach within this scope is attempted to include advances of highly specialized developments in all aspects of the technology. Advances in geometric optics for enhancement in solar concentration and temperature are reviewed along with receiver configurations for efficient heat transfer. Advances in sensible and latent heat storage materials, as well as development in thermochemical processes, are also reviewed in conjunction with efficient system integration as well as alternative energy generation technologies. This comprehensive approach aims in highlighting promising concentrating solar power components for further development and wider solar energy utilization.

show abstract

Section: Advances In Heliostat Layoutsmentioning

confidence: 99%

Concentrating Solar Power Advances in Geometric Optics, Materials and System Integration

Arnaoutakis

Katsaprakakis

2021

Energies

View full text Add to dashboard Cite

show abstract

“…HSPs, being inherently stable at high temperatures (silica melting point ≈ 1710 • C), are good candidates for high temperature thermal insulation applications (e.g., insulation of concentrated solar power storage tanks and pipes [85], high-temperature fuel cells [86], where conventional insulation materials based on foams or cellulose fibers are not suitable. Polymer and carbon hollow particles can also be used for thermal insulation applications [11,14].…”

Section: Thermal Insulationmentioning

confidence: 99%

Hollow Silica Particles: Recent Progress and Future Perspectives

Sharma

Polizos

2020

Nanomaterials

View full text Add to dashboard Cite

Hollow silica particles (or mesoporous hollow silica particles) are sought after for applications across several fields, including drug delivery, battery anodes, catalysis, thermal insulation, and functional coatings. Significant progress has been made in hollow silica particle synthesis and several new methods are being explored to use these particles in real-world applications. This review article presents a brief and critical discussion of synthesis strategies, characterization techniques, and current and possible future applications of these particles.

show abstract

“…Therefore, these kinds of faults can occur on both DC and AC sides. PV module defects for instance delamination, yellowing, and browning of solar cells, cracks, gaps, bubbles, and defects in the anti-reflective coating are examples of DC-side incipient faults [7]. Wiring degradation, Insulated Gate Bipolar Transistor (IGBT) faults, islanding, overheating, and aging are all AC-side faults.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Neural Network Method-Based Multiscale PCA for Fault Diagnosis: Application to Grid-Connected PV Systems

Attouri

Mansouri

Hajji

et al. 2023

Signals

View full text Add to dashboard Cite

In this work, an effective Fault Detection and Diagnosis (FDD) strategy designed to increase the performance and accuracy of fault diagnosis in grid-connected photovoltaic (GCPV) systems is developed. The evolved approach is threefold: first, a pre-processing of the training dataset is applied using a multiscale scheme that decomposes the data at multiple scales using high-pass/low-pass filters to separate the noise from the informative attributes and prevent the stochastic samples. Second, a principal component analysis (PCA) technique is applied to the newly obtained data to select, extract, and preserve only the more relevant, informative, and uncorrelated attributes; and finally, to distinguish between the diverse conditions, the extracted attributes are utilized to train the NNs classifiers. In this study, an effort is made to take into consideration all potential and frequent faults that might occur in PV systems. Thus, twenty-one faulty scenarios (line-to-line, line-to-ground, connectivity faults, and faults that can affect the normal operation of the bay-pass diodes) have been introduced and treated at different levels and locations; each scenario comprises various and diverse conditions, including the occurrence of simple faults in the PV1 array, simple faults in the PV2 array, multiple faults in PV1, multiple faults in PV2, and mixed faults in both PV arrays, in order to ensure a complete and global analysis, thereby reducing the loss of generated energy and maintaining the reliability and efficiency of such systems. The obtained outcomes demonstrate that the proposed approach not only achieves good accuracies but also reduces runtimes during the diagnosis process by avoiding noisy and stochastic data, thereby removing irrelevant and correlated samples from the original dataset.

show abstract

A review of the application performances of concentrated solar power systems

Cited by 103 publications

References 142 publications

Concentrating Solar Power Advances in Geometric Optics, Materials and System Integration

Concentrating Solar Power Advances in Geometric Optics, Materials and System Integration

Hollow Silica Particles: Recent Progress and Future Perspectives

Enhanced Neural Network Method-Based Multiscale PCA for Fault Diagnosis: Application to Grid-Connected PV Systems

Contact Info

Product

Resources

About