Investigation of a Real-Time Dynamic Model for a PV Cooling System

Manasrah, Ahmad; Masoud, Mohammad; Jaradat, Yousef; Bevilacqua, Piero

doi:10.3390/en15051836

Cited by 21 publications

(8 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…ML methods were introduced and utilized in predicting and modeling the non-linear behavior of different types of geoengineering materials like soil, concrete, asphalt, and clay which opened the door for revolutionary applications in the field of material science and optimization [35,36]. Additionally, ML methods can describe and recognize unnoticeable non-linear patterns among a high number of variables in extremely complex datasets due to the use of a non-linear activation function [37]. Moreover, ML has the advantage over regression in that the form of the model need not be pre-determined.…”

Section: Artificial Neural Network (Ann)mentioning

confidence: 99%

Prediction of Bond-Slip Behavior of Circular/Squared Concrete-Filled Steel Tubes

et al. 2022

View full text Add to dashboard Cite

Numerous existing formulas predicted the ultimate interfacial bond strength in concrete-filled steel tubes (CFST) between steel tubes and concrete core without investigating the whole response under push-out load. In this research, four models are proposed to predict the interfacial behavior in CFST including the post-peak branch under the push-out loading test based on 157 circular specimens and 105 squared specimens from the literature. Two models (one for circular and one for squared CFST) are developed and calibrated using artificial neural network (ANN) and two models (one for circular and one for squared CFST) are developed based on multivariable regression analysis, analysis of variance (ANOVA). The shape of the specimen (circular or squared), diameter of the tube, thickness of the tube, concrete compressive strength, age at the time of testing, and length of the specimen are the main factors considered. These models are then compared to other existing formulas to verify their capability to better predict the ultimate interfacial bond strength. It is found that the ANN model gives better results for most of the considered data. It is also found that ANN models can predict the overall bond-slip response for the considered dataset. In order to simulate the response of any CFST column using finite element (FE) method, it is vital to have sufficient input data on the overall bond-slip behavior between the interior face of the steel tube and the exterior surface of the concrete core including the post-peak branch. Accordingly, the suggested ANN model is used to generate the required input data related to the cohesive behavior and damage along the interface in ABAQUS model to simulate the response of two circular and two squared CFST columns under concentric compressive load. The results are in good agreement with experimental outcomes. The cohesive criterion and damage interface that are used based on ANN models in FE are found to be sufficient and can be adopted to model CFST columns.

show abstract

Section: Artificial Neural Network (Ann)mentioning

confidence: 99%

Prediction of Bond-Slip Behavior of Circular/Squared Concrete-Filled Steel Tubes

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Ahmadianfar [51] proposed a new enhanced version of GBO using metaphor-free, so called EGBO to determine the optimal PV parameters. PV, double diodes, and single diodes were used to evaluate the performance of EGBO, where it achieved the optimal parameters with high accuracy, reliability, and speedily of convergence rate [52]. Also, it achieved the solutions with high accuracy in different temperatures and irradiances using the manufacturer's data-sheet.…”

Section: Modificationmentioning

confidence: 99%

Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications

Daoud

Shehab

Al-Mimi

et al. 2022

Arch Computat Methods Eng

View full text Add to dashboard Cite

This paper introduces a comprehensive survey of a new population-based algorithm so-called gradient-based optimizer (GBO) and analyzes its major features. GBO considers as one of the most effective optimization algorithm where it was utilized in different problems and domains, successfully. This review introduces set of related works of GBO where distributed into; GBO variants, GBO applications, and evaluate the efficiency of GBO compared with other metaheuristic algorithms. Finally, the conclusions concentrate on the existing work on GBO, showing its disadvantages, and propose future works. The review paper will be helpful for the researchers and practitioners of GBO belonging to a wide range of audiences from the domains of optimization, engineering, medical, data mining and clustering. As well, it is wealthy in research on health, environment and public safety. Also, it will aid those who are interested by providing them with potential future research.

show abstract

“…13 shows the general scheme that was adopted to design the central composite to improve the performance of PV. In addition to many previous studies that dealt with PV cooling for various technologies, 1,[47][48][49][50][51][52][53][54][55][56] the summary of the different cooling types of photovoltaic cells conducted by previous researchers from 2012 to 2021 is reviewed in Table 3. Increase PV efficiency by using active cooling.…”

Section: Hg Teo and Hawladermentioning

confidence: 99%

Review of Hybrid Photovoltaic- Air Updraft Solar Application: Present and Proposed state Models

Jaffar¹,

Ismaeel²,

Shuraiji³

2022

Evergreen

View full text Add to dashboard Cite

Similar to any solar conversion application into electrical power, the photovoltaic panel performance is suffering from the high temperature and when it is mounted in hot-dry climates. One method to overcome these setbacks is to marry the PV panel with a solar air updraft system, which led to a decline in its temperature by upgrading the air mass flow facing the PV-panel. This paper presents a comprehensive review of the hybrid Photovoltaic-Air Updraft Solar models. The review presents and discusses the compounds and experimental and theoretical studies that were carried out on the existing PV-solar air updraft models. In addition, the paper proposed a new solar air updraft technique by coupling the PV panel with a swirling air generator. The proposed model is simple and more efficient than the conventional solar air updraft design, leading to higher PV panel cooling performance.

show abstract

Investigation of a Real-Time Dynamic Model for a PV Cooling System

Cited by 21 publications

References 43 publications

Prediction of Bond-Slip Behavior of Circular/Squared Concrete-Filled Steel Tubes

Prediction of Bond-Slip Behavior of Circular/Squared Concrete-Filled Steel Tubes

Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications

Review of Hybrid Photovoltaic- Air Updraft Solar Application: Present and Proposed state Models

Contact Info

Product

Resources

About