Computational Energy Optimization Processes during Nanofluid Flows with Emphasis on Applications

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".

Deadline for manuscript submissions: closed (15 March 2024) | Viewed by 833

Special Issue Editors


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Guest Editor
Department of Mathematical Sciences, United Arab Emirates University, Al Ain 15551, United Arab Emirates
Interests: numerical analysis; fluid mechanics; differential equations; heat and mass transfer

E-Mail Website
Guest Editor
1. Department of Mathematical Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
2. Department of Mathematical Sciences, Federal University of Technology, Akure PMB 704, Nigeria
Interests: applied mathematics; fluid mechanics; differential equations; heat and mass transfer

Special Issue Information

Dear Colleagues,

The study of nanofluid flows is essential for improving the efficiency and management of fluid flows on a rotating surface, polymer processing, chemical fluids, and food processing. Numerical computation within the scope of applied mathematics has been proven to be a reliable tool for achieving efficiency and management, as mentioned above. Nanofluid flow has a prominent potential role in several applications when it moves through a rotating plate in motion or through numerous regimes. The many functions of nanoparticles in producing crack-resistant paints, scratch-resistant eyewear, ceramic coatings for solar cells, stain-repellent textiles, anti-graffiti coatings for walls, and self-cleaning windows have recently drawn attention to the utility of nanofluids. Nanomaterials with organic, inorganic, composite, or carbon bases are now being considered due to developments in nanoscience, mechanical engineering, mechanics of materials, chemistry, materials science, and bioengineering.

Water splitting, photocatalysis, electronics, and nanophotonics benefit from the use of semiconductor nanoparticles like cadmium telluride, gallium nitride, zinc oxide, and zinc sulfide. The addition of nanoparticles of titanium dioxide and zinc oxide during manufacturing makes sunscreens more effective. As a result, blocking UV light is now simple to do. Silica nanoparticles can be used to create fabrics that can resist liquids, producing tiny beads that resemble liquids on waterproof garments. Moreover, upholstery for furniture might be achieved by covering the foam with carbon nanofibers to reduce flammability. Nanoparticle properties are helpful in many biological applications, including heating (hyperthermia)-based tumor elimination, protein detection, medication and gene delivery, separation, and the purification of biological molecules.

One of the instruments required to improve efficiency in these processes is the regulation of local skin friction coefficients as well as heat and mass transport. In addition, understanding the dynamics of the various nanofluids may be expanded through all the previously described applications. Thus, high-quality contributions on the dynamics of various nanofluids (i.e., single, hybrid, or ternary) and applications are sought for this particular Special Issue collection. The development of nanotechnology is strongly influenced by our growing understanding of diverse nanofluid dynamics, with an emphasis on applications. Therefore, we aim to establish a rapid editorial review process that will produce new, significant papers focusing on nanofluid flow applications. This study series aims to close the gap between academic research and practical implementations of the findings, and to offer information on current trends in the field.

Prof. Dr. Qasem Al-Mdallal
Dr. Isaac Lare Animasaun
Guest Editors

Manuscript Submission Information

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Keywords

  • energy and optimization
  • hybrid-nanofluids
  • ternary-hybrid nanofluids
  • applications of the exact nanofluids
  • reviews on nanofluids
  • heat and mass transfer across nanofluids
  • nanotechnology
  • applied mathematics
  • numerical computation of temperature and heat energy

Published Papers (1 paper)

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Research

15 pages, 3015 KiB  
Article
Optimization of the Assessment Method for Photovoltaic Module Enhancers: A Cost-Efficient Economic Approach Developed through Modified Area and Cost Factor
by Sakhr M. Sultan, Tso Chih Ping, Khan Sobayel, Mohammad Z. Abdullah and Kamaruzzaman Sopian
Processes 2024, 12(5), 988; https://doi.org/10.3390/pr12050988 - 13 May 2024
Viewed by 274
Abstract
The advancement of photovoltaic module (PV) enhancer technology shows significant promise due to its rapid growth. Nevertheless, there remains a requirement for ongoing research to refine the evaluation techniques for this technology. In a prior investigation, the concept of the area and cost-effectiveness [...] Read more.
The advancement of photovoltaic module (PV) enhancer technology shows significant promise due to its rapid growth. Nevertheless, there remains a requirement for ongoing research to refine the evaluation techniques for this technology. In a prior investigation, the concept of the area and cost-effectiveness factor, denoted as FCAE, was introduced to analyze the economic impact of enhancing the PV through techniques such as reflectors or coolers. This metric relates the surface area and manufacturing expenses of a PV enhancer to its capacity for improving the PV output power, aiding in the comparison of different enhancer types. However, this assessment approach is costly, requiring a set of PVs without enhancers to be compared with an equal number of modules fitted with enhancers. This paper introduces a modified version of this metric, termed the modified area and cost-effectiveness factor (FMCAE), along with its minimum value (FMCAE,min), with the aim of reducing the assessment expenses associated with PV enhancers. This modification hinges on knowing the output power from a single solar cell without an enhancer, as well as from a PV with an enhancer containing a known number of solar cells. Additionally, it relies on data regarding the manufacturing cost of the PV enhancer, the cost of one watt of PV power, and the combined surface area of the PV and its enhancer. The equations for computing the total number of solar cells and the associated costs in addition to the expenses cost are also proposed for FCAE and FMCAE. The results of the present study using FMCAE show that there is a proportional relationship between the percentage of solar cell saving and the number of solar cells. As the solar cells increase, the percentage of solar sell saving increases. The findings reveal that utilizing FMCAE leads to a 48.33% increase in the proportion of solar cells saved compared to the existing method. It can be concluded that the proposed method is cost-efficient and holds promise for adoption by PV enhancer designers and manufacturers. Full article
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