An optical and energy absorption analysis of the solar compound parabolic collector photoreactor (CPCP): The impact of the radiation distribution on its optimization

Acosta-Herazo, Raúl; Valadés-Pelayo, Patricio J.; Mueses, Miguel Ángel; Pinzón-Cárdenas, María H.; Arancibia-Bulnes, Camilo A.; Machuca-Martínez, Fiderman

doi:10.1016/j.cej.2020.125065

Cited by 23 publications

(14 citation statements)

References 40 publications

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“…[60][61][62] The fact whether the catalyst is supported or suspended in solution may involve additional considerations within the model; i. e., the study of the radiation field within the photoreactors depends whether the catalyst is suspended in the solution or supported. [63] These kind of studies are often made in terms of the Local Volumetric Rate of Photon Absorption, which is often estimated by Monte-Carlo based simulations, [64][65][66][67][68] but also, in the specific case of suspended catalyst, the LVRPA can be estimated by deterministic computation using the sixflux model (SFM), [69][70][71] this approach offers a simplified and fast alternative to study radiant fields on photo-reactors, however, its implementation is limited to system with simple geometries.…”

Section: Photocatalysismentioning

confidence: 99%

Analysis of the Applications of Particle Swarm Optimization and Genetic Algorithms on Reaction Kinetics: A Prospective Study for Advanced Oxidation Processes

et al. 2022

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A bibliometric analysis of the Scopus database was implemented to assess the spread of two types of evolutionary algorithms (EAs), genetic algorithms (GA) and particle swarm optimization (PSO), on the study of reaction kinetics. Particular attention was given to applications for advanced oxidation processes (AOPs). The collaborations between countries and authors, as well as the keywords co‐occurrences, were investigated. Finally, the Gompertz and Logistic Substitution models (LSM) were employed to forecast future scenarios. It was observed that GA methods were the preferred algorithms for reaction kinetic studies, and the USA was the most influential country in terms of collaboration, followed by China. On the other hand, there was still poor collaboration for most countries; this was also observed for authors’ collaboration. In addition, literature concerning AOPs was still scarce. The forecasting suggested growth for implementing evolutionary algorithms, especially for the PSO, increasing its popularity regarding GA methods.

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Section: Photocatalysismentioning

confidence: 99%

Analysis of the Applications of Particle Swarm Optimization and Genetic Algorithms on Reaction Kinetics: A Prospective Study for Advanced Oxidation Processes

et al. 2022

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“…Among the literature, researchers have widely aborded stochastic and deterministic approaches estimating the VRPA [53][54][55]. Although stochastic methods based on Monte Carlo simulations have proved highly precise, their implementation involves a high computational effort, resulting in a time-consuming task [56][57][58][59]. Meanwhile, some deterministic methods have proved to yield prediction approximated enough to Monte Carlo simulations.…”

Section: Ti(i I I) = K App X C E − (40)mentioning

confidence: 99%

Mechanistic Model and Optimization of the Diclofenac Degradation Kinetic for Ozonation Processes Intensification

Acosta-Angulo

Lara-Ramos

Díaz-Angulo

et al. 2021

Water

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This work focused on estimating the rate constants for three ozone-based processes applied in the degradation of diclofenac. The ozonation (Oz) and its intensification with catalysis (COz) and photocatalysis (PCOz) were studied. Three mathematical models were evaluated with a genetic algorithm (GA) to find the optimal values for the kinetics constants. The Theil inequality coefficient (TIC) worked as a criterion to assess the models’ deviation. The diclofenac consumption followed a slow kinetic regime according to the Hatta number (Ha<0.3). However, it strongly contrasted with earlier studies. The obtained values for the volumetric rate of photon absorption (VRPA) corresponding to the PCOz process (1.75×10−6 & 6.54×10−7 Einstein L−1 min−1) were significantly distant from the maximum (2.59×10−5 Einstein L−1 min−1). The computed profiles of chemical species proved that no significant amount of hydroxyl radicals was produced in the Oz, whereas the PCOz achieved the highest production rate. According to this, titanium dioxide significantly contributed to ozone decomposition, especially at low ozone doses. Although the models’ prediction described a good agreement with the experimental data (TIC<0.3), the optimization algorithm was likely to have masked the rate constants as they had highly deviated from already reported values.

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“…Numerical results showed that for attaining 70 °C-85 °C desorption temperature, 350-450 W/m 2 solar radiation intensity was required. Acosta-Herazo et al (2020) investigated the CPC photoreactor's absorption performance for solar radiation by changing several variables and found the boundary wall of the receiver has a considerable effect on the performance of CPCs. Leong et al (2018) experimentally investigated copper and titania NFs by varying particle concentrations, surfactants, sonication time, and pH value.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of compound parabolic solar collector using different nanofluids: An experimental study

et al. 2022

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The article reports an experimental study on a non-tracking compound parabolic collector (CPC) with nanofluid and hybrid nanofluids (NFs). An experimental setup was fabricated having a concentration ratio of 4.17, 0.828 m2 collector area, 24° of half acceptance angle, and an evacuated tube receiver having 1.85 m length. Fluids like water and NFs have been investigated in CPC performance improvement, but current research deals with NFs and hybrid NFs in a CPC as rare studies are found on a CPC using NFs. The 0.010 and 0.015 wt% concentration were used of nanofluids (NFs) which were silica/water + ethylene glycol (SiO2)/(H2O + EG), and hybrid nanofluids of magnesium oxide + carbon black/water (MgO + CB/H2O) and carbon black + graphene nanoplatelets/water (CB + GNPs/H2O) at flow rates of 0.020, 0.015, and 0.010 kg/s. The experimentation was performed under real climate conditions of Taxila, Pakistan, and solar irradiance and ambient temperature were measured to determine the performance of the CPC in comparison to a simple base fluid which was water. The experimental results revealed that a maximum temperature difference of 8.5°C with an around thermal efficiency of 38.51% was achieved for hybrid pair of MgO + CB at a flow rate of 0.010 kg/s and volumetric concentration of 0.015 wt%. The efficiency variation using NFs (SiO2/EG + H2O) varies from 12.8% to 59.1% from lowest 0.010 kg/s to highest 0.020 kg/s flow rates, and volumetric concentrations (0.010 and 0.015 wt%) of nanoparticles. For similar experimental conditions, efficiency variation for (CB + GNPs) pair varies from 14.2% to 65.6% for aforementioned conditions. Efficiency variation from 15.3% to 66.3% was attained using MgO + CB in the base fluid of water for said flow rates and volumetric concentrations of nanoparticles. In addition, an efficiency enhancement of 24.3%, 30.8%, and 31.5% was observed for SiO2/EG + H2O, CB + GNPs/H2O, and MgO + CB/H2O, respectively, at maximum flow rates and volumetric concentration of nanoparticles as compared to water. Therefore, the usage of hybrid-based NF in the CPC is beneficial in terms of efficiency enhancement, and it will bring young research workers to get deep into this field to bring revolution in the area of solar energy.

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An optical and energy absorption analysis of the solar compound parabolic collector photoreactor (CPCP): The impact of the radiation distribution on its optimization

Cited by 23 publications

References 40 publications

Analysis of the Applications of Particle Swarm Optimization and Genetic Algorithms on Reaction Kinetics: A Prospective Study for Advanced Oxidation Processes

Analysis of the Applications of Particle Swarm Optimization and Genetic Algorithms on Reaction Kinetics: A Prospective Study for Advanced Oxidation Processes

Mechanistic Model and Optimization of the Diclofenac Degradation Kinetic for Ozonation Processes Intensification

Performance evaluation of compound parabolic solar collector using different nanofluids: An experimental study

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