Hybrid Nanofluids for Sustainable Thermal and Energy Systems: Modeling, Simulation and Applications

Submission Deadline: 31 May 2027 View: 49 Submit to Special Issue

Guest Editor(s)

Prof. Satya Ranjan Mishra

Email: satyaranjan_mshr@yahoo.co.in

Affiliation: Department of Mathematics, Siksha O Anusandhan, Bhubaneshwar, Odisha, India

Research Interests: fluid dynamics, magnetohydrodynamics (MHD), heat and mass transfer, nanofluid and hybrid nanofluid flow, porous media flow, computational fluid dynamics (CFD), nonlinear differential equations and mathematical modeling

Dr. Priya Mathur

Email: drpriyamathur21@gmail.com

Affiliation: Department of Mathematics, Poornima Institute of Engineering & Technology, Jaipur, Rajasthan India

Research Interests: fluid dynamics, magnetohydrodynamics (MHD), heat and mass transfer, nanofluid and hybrid nanofluid flow, porous media flow, computational fluid dynamics (CFD), nonlinear differential equations and mathematical modeling

Prof. Dr. Sahin Ahmed

Email: nanofluid.sahin@gmail.com

Affiliation: Department of Mathematics, Rajiv Gandhi University, Itanagar, Arunachal Pradesh, India

Research Interests: fluid dynamics research (mainly on nanofluid, MHD, ANN, PINN, COMSOL multiphysics etc.)

Summary

The growing global demand for sustainable and energy-efficient technologies has intensified research efforts in advanced thermal management and renewable energy systems. Conventional heat transfer fluids generally possess limited thermal conductivity, which restricts the efficiency of many industrial and engineering applications such as heat exchangers, cooling systems, solar thermal collectors, electronic devices, automotive systems, and biofuel-based thermal processes. In recent years, nanofluids have emerged as a promising solution to overcome these limitations due to their enhanced thermal and transport characteristics.

Among the various categories of nanofluids, hybrid nanofluids — prepared by dispersing two or more different nanoparticles into a base fluid — have attracted significant attention because of their superior thermophysical performance compared to conventional nanofluids. Hybrid nanoparticles such as Al₂O₃–CuO, TiO₂–CNT, graphene-based composites, and metallic oxide combinations demonstrate improved thermal conductivity, heat transfer rates, stability, and energy transport mechanisms. These advancements create new opportunities for designing highly efficient and sustainable thermal systems.

Simultaneously, the integration of computational techniques such as Computational Fluid Dynamics (CFD), mathematical modeling, optimization algorithms, artificial intelligence, and machine learning has transformed the analysis and prediction of fluid flow and heat transfer behavior in complex thermal systems. These advanced tools provide deeper physical insight into nanoparticle transport, entropy generation, turbulence effects, thermal efficiency, and energy optimization.

The application of hybrid nanofluids in sustainable energy systems, including biodiesel thermal systems, solar energy technologies, microchannel heat sinks, thermal storage units, and industrial cooling systems, represents a rapidly expanding multidisciplinary research area. Furthermore, the growing emphasis on reducing energy losses, minimizing entropy generation, and improving environmental sustainability has increased the relevance of this field for both academic research and industrial applications.

This Special Issue aims to provide an international platform for researchers, scientists, engineers, and industry experts to present recent theoretical, numerical, computational, and experimental advances related to hybrid nanofluids and sustainable thermal systems. The issue seeks high-quality contributions addressing emerging challenges, innovative modeling techniques, simulation approaches, and practical applications in modern energy and thermal engineering systems.

Relevant subjects include, but are not limited to:
· Hybrid nanofluids and advanced heat transfer enhancement
· Mathematical modeling of nanofluid transport phenomena
· Computational Fluid Dynamics (CFD) in thermal system analysis
· Entropy generation and exergy optimization
· AI and machine learning applications in thermal engineering
· Sustainable and renewable energy systems using nanofluids
· Biodiesel and biofuel thermal systems
· Thermal efficiency optimization techniques
· Turbulent and laminar hybrid nanofluid flow analysis
· Multiphase flow and nanoparticle transport modeling
· Heat exchangers and cooling technologies
· Solar thermal systems and energy storage applications
· Microchannel and microscale heat transfer systems
· Hybrid nanoparticles and thermophysical property analysis
· Smart thermal fluids and intelligent energy systems
· Materials processing and advanced thermal management
· Numerical and experimental investigations of nanofluids
· Industrial applications of hybrid nanofluid technologies
· Green energy technologies and sustainable engineering solutions
· Emerging trends in thermal-fluid sciences and energy optimization

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