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 News Details

Publication of scientific article within the Scopus containers Q1

2021-06-01

Publication of scientific article within the Scopus containers Q1


 

Pursuant to the directives of the Professor Dr. Mushtaq Talib Al-Nida (President of University of Anbar), includes urging researchers to publish in journals within the containers of Scopus and Clarivate, in addition to working in teams with researchers from Iraqi and foreign institutions. Mustafa Adel Aldamook Lecturer at Renewable Energy Research Center conducted a scientific article in cooperation with researchers from universities in UK, in the journal “Applied Thermal Engineering”, which is classified within the Scopus Q1 containers with IF 4.725

The article entitled Energy efficient double-pass photovoltaic/thermal air systems using a computational fluid dynamics multi-objective optimisation framework"

deals with development of an energy efficient hybrid photovoltaic/thermal air system by the combination of experimentally validated computation fluid dynamics and optimal Latin hypercubes design of experiments. Photovoltaic absorb more than 75% of the solar irradiance, but only a small amount of the captured solar energy (e.g. 7–24%) is transformed into electricity. The remaining energy can cause overheating and damage to adhesive seals, delamination and non-homogeneous temperatures. The combined thermo-hydraulic and electrical performances of five air flow configurations are examined after the selection of several design parameters. The parametric study reveals that the most promising configuration is co-current air flow through two channels above and below the photovoltaic cell. A multi-objective design optimisation process is undertaken for this configuration, where the system is represented by three design variables: the collector, the depths of the lower air flow and the upper air flow channels. A 50-point design of experiments is constructed within the design variables space using a permutation genetic algorithm. The multi-objective design optimisation methodology entails an accurate surrogate modelling to create Pareto curves which demonstrate clearly the compromises that may be taken between fan fluid and electric powers, and between the electric and thermal efficiencies. The design optimisation demonstrates how the design variables affect each of the four system performance parameters.

For more details about the research, you can review the following link:

https://www.sciencedirect.com/science/article/abs/pii/S1359431121004567

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