Optimal condition-based cleaning of solar power collectors

Truong‐Ba, Huy; Cholette, Michael E.; Wang, R.; Borghesani, Pietro; Ma, Lin; Steinberg, Ted

doi:10.1016/j.solener.2017.08.076

Cited by 42 publications

(6 citation statements)

References 28 publications

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“…It is observed that the modern approach adopted was found to be better even if the cleaning process was delayed, as conducted from BA HT et al study. 101 The performance of the hydrophobic coating was found to be superior to that of the silicon super-hydrophobic coating, as conducted from Wang P et al study. 57 Turbulence and discrete particle models were used to study dust deposition rates and behaviour on a ground-mounted solar PV system, as conducted from Lu H et al study.…”

Section: Review Discussion For the Years 2019–2020mentioning

confidence: 88%

Effects of dust on the performance of solar panels – a review update from 2015–2020

Saini

Gupta

et al. 2022

Energy & Environment

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Solar power plays a significant role in the contribution of energy worldwide. The performance of solar panels mainly depends upon geographical and environmental factors. Dust is an important well known ecological factor that significantly impacts the performance of solar panels in achieving the overall target of power production by renewable sources. Study about the performance of solar panels under the influence of dust particles becomes more effective when these are to be worked out in hot and dusty areas. The current goal of this review article is to provide the impact of dust particles on the performance of solar panels. To fulfil this goal, the researcher's contribution is updated in minor for 2015 to 2018 and signed for 2019 and 2020.The current authors of this review article also recommended the adoption of a modern cleaning technique for PV modules, which would save time because it could be operated away from the PV modules.

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Section: Review Discussion For the Years 2019–2020mentioning

confidence: 88%

Effects of dust on the performance of solar panels – a review update from 2015–2020

Saini

Gupta

et al. 2022

Energy & Environment

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“…The estimation of the statistical properties of rain events (λ(t)) is similar to the study 29 that the average arrival rate of rain λ d during day d of any year is estimated as the combination of the moving average of 7 days (3 days before, 3 days after, and current day) and the synchronous average (i.e., average of the same day over Y years):…”

Section: Opportunity Modelsmentioning

confidence: 98%

Optimization of condition‐based maintenance considering partial opportunities

Truong‐Ba

Borghesani

Cholette

et al. 2019

Quality & Reliability Eng

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Recent studies have demonstrated the economic benefit of exploiting partial opportunities for maintenance, which arise from the reduction of costs of doing partial maintenance utilizing the opportunity given. A typical example is an externally induced production stop with a duration that may not be sufficient to a complete maintenance activity. This paper combines partial opportunities and condition‐based maintenance (CBM) strategies and proposes an innovative maintenance optimization method considering time‐varying economic conditions. This scenario naturally fits a broad range of assets with a finite design life (including long‐life machinery and infrastructure), operating under variable economic conditions and usage‐intensities. The maintenance optimization problem is formulated in this study as a finite‐horizon Markov decision process, where the randomly occurring opportunities are accounted for by augmenting the time‐varying, decision‐dependent transition probabilities. A dynamic programming approach is subsequently used to obtain the optimal CBM policy, consisting of time‐varying thresholds on equipment condition and the cost of conducting maintenance during the arrived opportunity. A case study of such a maintenance policy for an induced draft fan of a sugar production system located in Queensland, Australia, is undertaken to evaluate the benefits of the proposed methodology against more traditional approaches that neglect opportunities or consider only replete opportunity durations.

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“…Hence the re ectance of solar mirrors will be decreased. The soiling (dust accumulation) is the main reason for raising the maintenance costs, energy and re ectivity loss in the concentrating solar power plants (CSP) and installations of photovoltaic (PV) 37,38 . Such problem can be enlarged, in the CSP during the installation process in arid regions or semi-arid regions, like a high direct normal irradiation availability exposed to more particles or dust deposition due to red rain events, sand storms and higher atmospheric dust concentration 39,40 .…”

Section: Introductionmentioning

confidence: 99%

Green Synthesis of Silica- Polysaccharides Nano- composites from Sodium Silicate and Aloe Vera gel for Self-cleaning of Solar Mirrors

Badr,

Khalil,

Khalil

et al. 2024

Preprint

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Synthesis of silica-Nano-composites from both sodium silicate and Aloe Vera gel via low-cost sol-gel silica nanoparticles (Si NPs) was investigated to be used as self-cleaning for solar mirrors. The produced materials were analyzed by (EDX) which indicates the existence of a high content of silicon in the Nano-silica composites. FTIR was utilized to obtain the structure characterization of our samples, whereas the poly-siloxane groups already formed and found the backbone of Si-O-Si. X-ray diffraction (XRD) was also utilized to identify the silica structure, whereas a broad peak and an amorphous phase were obviously created. The images of Nano-silica content embedded in polymer with different magnifications were obtained using (SEM). The surface roughness of the Nano-silica composites was attained using the Atomic Force microscope (AFM). The hydrophobicity of the solar mirrors surface was investigated using the contact angle measurement and zeta potential measurement. The results obtained by both Thermo-gravimetric analysis and data thermal analysis (TGA & DTA) illustrated that the Nano-silica composite with 40 ml of Aloe Vera gel is more stable than that obtained of Nano silica composites with 20 ml and 60 ml of Aloe Vera gel. The reflectance of solar mirrors after using Nano-silica composite assures high efficiency.

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Optimal condition-based cleaning of solar power collectors

Cited by 42 publications

References 28 publications

Effects of dust on the performance of solar panels – a review update from 2015–2020

Effects of dust on the performance of solar panels – a review update from 2015–2020

Optimization of condition‐based maintenance considering partial opportunities

Green Synthesis of Silica- Polysaccharides Nano- composites from Sodium Silicate and Aloe Vera gel for Self-cleaning of Solar Mirrors

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