Sandstorm erosion on solar reflectors: Highly realistic modeling of artificial aging tests based on advanced site assessment

Wiesinger, Florian; Sutter, Florian; Fernández-García, Aranzazú; Wette, Johannes; Wolfertstetter, Fabian; Hanrieder, Natalie; Schmücker, Martin; Pitz‐Paal, Robert

doi:10.1016/j.apenergy.2020.114925

Cited by 19 publications

(14 citation statements)

References 28 publications

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“…Moreover, this phenomenon not only affects infrastructure stability in general but different sectors, in particular. For example, it also impacts the reflectance loss of solar panels [ 22 ], increasing the weight to be supported by the structures, the burying of infrastructures and, even, corrosion [ 23 ]. In some cases, this phenomenon can be diminished by physical mitigation systems [ 24 , 25 ], although the most common way is to improve material protection [ 26 , 27 ] with a consequent rise in cost.…”

Section: Introductionmentioning

confidence: 99%

Hybrid system model for wind abrasion segmentation using semi-automatic classification of remote sensing multispectral areas

Terrados-Cristos,

Ortega-Fernández,

Díaz-Piloñeta

et al. 2023

Heliyon

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Section: Introductionmentioning

confidence: 99%

Hybrid system model for wind abrasion segmentation using semi-automatic classification of remote sensing multispectral areas

Terrados-Cristos,

Ortega-Fernández,

Díaz-Piloñeta

et al. 2023

Heliyon

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“…Sandstorm events originate in drylands when strong winds blow and separate nonstabilized soil particles from a dried surface, and are common in Northwest China [1][2][3][4]. These events negatively affect the climate and human health, and also have adverse environmental and socio-economic impacts [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Evolution of a Typical Sandstorm Event in an Arid Area of Northwest China in April 2018 Based on Remote Sensing Data

Jiang

et al. 2022

Remote Sensing

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Northwest China is significantly affected by sandstorm disasters. To mitigate the negative impacts of sandstorm events, it is critical to understand the spatio-temporal variations in typical sand and dust storms and their influencing factors. In this work, using ground-based measurements of particulate matter and remote sensing data such as MODIS, OMI, and CALIPSO data, the sources of aerosol pollution and aerosol optical properties of a typical sandstorm event that occurred in Northwest China in 2018 was studied. In addition, the HYSPLIT model was used to explore the air mass trajectories in order to analyze the sand and dust migration process during the sandstorm event. Furthermore, the wind erosion sensitivity of Northwest China was analyzed via single factor analysis and multi-factor superposition of wind field intensity, soil drought index, vegetation coverage, and relief amplitude. Finally, the region of the study area having a high comprehensive wind erosion sensitivity was identified. The results showed that the PM10 concentrations exceeded 400 µg/m3 and the PM2.5/PM10 ratio did not exceeded 0.6 during the sandstorm event, indicating that natural particulate matter was dominant in the ambient air. At the epicenter of pollution, the aerosol optical depth (AOD) at 550 nm was 0.75–1. By combining AOD data with wind speed and direction data from field observation stations, it was found that the sandstorm event in 2018 mainly occurred between 1 April and 3 April, and affected all of Northwest China on 2 April and 3 April. The absorbed aerosol index (AAI) ranged between 2.5 and 4, indicating that the Taklimakan Desert was the main source of sandstorm events in Northwest China. The CALIPSO total attenuated backscatter coefficient at 532 nm indicated that the main component of tropospheric aerosol in this region was distributed in the range of 0–12.5 km. The simulated airflow track showed that it had the same dust source regions as AAI index studies. Moreover, investigation of wind erosion sensitivity in the study areas indicated that the Taklimakan Desert and other desert regions were the main ecologically sensitive areas. These conclusions can provide references and suggestions for the mitigation of damage caused by sandstorm events, in addition to the enhancement of ecological governance.

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“…Sandstorms happen fast and can last for several hours or even days. During sandstorms, wireless communication equipments are sometimes heavily a ected due to the irregular propagation of the transmitted and received electromagnetic waves [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

A Novel Autoregressive Spectral Estimation-Based Neural Network Crest Factor Reduction Structure in Power Amplifiers of 5G Systems in Sandstorm Environment

Cao

Wang

Cai

2022

Scientific Programming

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In this paper, an autoregressive spectral estimation using a multilayered neural network is proposed to reduce the nonlinearities of 5G MIMO power amplifiers and increase the signal-transmitting qualities. The proposed method adopts the two-sided doubly exponential lattice algorithm to achieve the most suitable estimation for in-band compensation. Also, based on the iterative learning control method, a novel crest factor reduction digital predistortion is combined with the multilayered neural network. Based on the results, the proposed algorithm has increased the linearity and stability of the PA performance. The proposed method can improve the robustness of 5G MIMO wireless communication systems.

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Sandstorm erosion on solar reflectors: Highly realistic modeling of artificial aging tests based on advanced site assessment

Cited by 19 publications

References 28 publications

Hybrid system model for wind abrasion segmentation using semi-automatic classification of remote sensing multispectral areas

Hybrid system model for wind abrasion segmentation using semi-automatic classification of remote sensing multispectral areas

Spatio-Temporal Evolution of a Typical Sandstorm Event in an Arid Area of Northwest China in April 2018 Based on Remote Sensing Data

A Novel Autoregressive Spectral Estimation-Based Neural Network Crest Factor Reduction Structure in Power Amplifiers of 5G Systems in Sandstorm Environment

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