1. Introduction
Thermo-fluid science is a foundational
discipline for numerous mechanical systems, particularly in energy production
and building equipment, where thermal and mechanical energy transfer play
critical roles. Advancements in heat transfer and fluid mechanics have
significantly enhanced these systems, driving progress in associated market
sectors. For instance, evaporator and condenser coils are essential for
optimizing vapor compression cycles in building equipment [1]. Heat pumps used for space and water heating
constitute a major share of building systems, with microchannel heat exchanger
technology at the forefront of these innovations. It is worth mentioning that advancements
in heat transfer and fluid mechanics significantly alleviate the challenge of
designing energy-efficient building equipment. The development of research
techniques has contributed significantly to the advancement of science; for
example, in the experimental field, non-intrusive measurement techniques such
as Particle Image Velocimetry (PIV) are now capable of resolving flow behavior
in a 3D format for different length and time scales.
Microchannel heat exchangers represent a
significant advancement in HVAC technology by offering enhanced heat transfer
performance through their compact, efficient design [2].
These heat exchangers utilize multiple parallel channels with hydraulic
diameters typically ranging from 0.1 to 1.0 mm, dramatically increasing the
surface-area-to-volume ratio compared to conventional tube-and-fin heat
exchangers [3]. In the HVAC industry, their
adoption has led to several key benefits, including reduced refrigerant charge
(typically 30–50% less than traditional coils) and improved heat transfer
coefficients due to their larger surface area density and decreased overall
system size and weight [4,5,6]. These advantages
have made microchannel heat exchangers particularly valuable in modern air
conditioning systems, where they have enabled manufacturers to meet stricter
energy efficiency standards while reducing material costs and environmental
impact [7]. Additionally, their all-aluminum
construction often provides better corrosion resistance compared to traditional
copper–aluminum designs, potentially extending system lifespan and reducing
maintenance requirements, though airside fouling effects must be taken into
consideration due to the reduced airside flow area associated with microchannel
heat exchangers [8]. These advancements
underscore the crucial role of thermo-fluid science in improving the energy
performance of building systems.
This Editorial is intended to highlight
recent developments in heat transfer and fluid flow through the articles
published in this Special Issue, which examines different research techniques
in a variety of applications. The industrial applications covered in this Issue
include fluidized beds, chemical reactions, propulsion, ice-storage air
conditioning, and high-pressure methanol steam reformers. These advancements in
heat transfer and fluid mechanics are essential for higher system efficiency
and lower energy consumption. The published papers utilize important
analytical, experimental, and numerical research techniques in thermo-fluid
science.
2. Advancements in Heat Transfer and Fluid Flow
Advancements in research have greatly
enhanced the study of how mass transport is affected by non-coaxial rotation.
Computational methods, such as high-resolution numerical solvers, allow for the
precise modeling of coupled partial differential equations, providing insights
into the interactions between rotational dynamics, diffusion, and chemical
kinetics [9,10]. Additionally, experimental
techniques like advanced imaging and laser diagnostics enable accurate
visualization and validation of theoretical models [11].
These innovations have improved our understanding of rotational effects in
fields such as environmental science, industrial mixing, and astrophysics,
leading to more efficient designs and applications [12,13].
A particular priority is hydrogen
production for energy applications. High-pressure methanol steam reforming with
integrated water vapor condensation represents an innovative approach to
hydrogen production and energy efficiency optimization [14]. The process leverages the significant enthalpy
of condensation from water vapor, which provides additional thermal energy to
support the endothermic reforming reaction [15].
Operating at elevated pressures of 20–50 bar enhances the system’s efficiency
by facilitating better heat integration and improving reaction kinetics [16]. The integration of condensation heat recovery
can increase overall system efficiency by 15–20% compared to conventional
reforming processes [17]. This approach is
particularly advantageous in applications requiring high-pressure hydrogen
output, as it eliminates the need for subsequent compression stages and reduces
the overall energy requirement of the system [18].
Furthermore, the incorporation of heat pipe technology for efficient heat
transfer between the condensation and reforming zones has demonstrated improved
temperature control and reaction stability [19].
Computational Fluid Dynamics (CFD) has
experienced significant advancement in thermo-fluid applications through
enhanced numerical methods and computational capabilities. The integration of
machine learning algorithms with traditional CFD approaches has revolutionized
turbulence modeling, particularly in predicting complex flow phenomena with
improved accuracy [20]. Notable progress has
been made in mesh adaptation techniques, where dynamic mesh refinement
strategies have enhanced the resolution of thermal boundary layers and
multiphase interfaces [21]. The development of
hybrid turbulent models has provided more accurate predictions of heat transfer
in complex geometries while maintaining computational efficiency [22]. Additionally, recent advances in
GPU-accelerated computing have enabled real-time simulations of thermal
systems, which are particularly beneficial in industrial applications and
design optimization [23]. The integration of
uncertainty quantification methods with CFD analysis has improved the
reliability of thermal predictions in engineering applications, especially in
cases involving phase change and conjugate heat transfer [3]. The development of high-fidelity multiphysics
models that couple CFD with other physical phenomena is particularly noteworthy,
as they enable more comprehensive analysis of thermal systems [24].
As mentioned previously, research
techniques have been significantly developed. In the experimental field,
non-intrusive measurement techniques such as Particle Image Velocimetry (PIV)
are now capable of resolving flow behavior in a 3D format for different length
and time scales. Particularly notable examples of state-of-the-art measurement technology
include the Spallation Neutron Source (SNS) [25]
and the High Flux Isotope Reactor (HFIR) [26].
Both represent two distinct but complementary approaches to neutron science [27]. The SNS produces neutrons through a spallation
process, where high-energy protons strike a heavy metal target, causing it to
release neutrons in short, intense pulses—this time structure makes it
particularly valuable for certain types of experiments like neutron scattering.
The HFIR, in contrast, is a continuous neutron source that uses nuclear fission
in a highly enriched uranium core to produce one of the highest steady-state
neutron fluxes available for research. The application of neutrons from either the
SNS or HFIR allows flow to be visualized in opaque channels, thereby allowing
for the optimization of flow in heat exchangers.
Research into fluid mechanics and heat
transfer is expected to continue developing and progressing for the sake of
acquiring new knowledge and developing new technologies. However, limitations on
experimental research on heat transfer and fluid flow still persist, including
spatial and temporal aspects. Advancement is pivotal to improving current
applications, in addition to enabling new concepts that can be transformed into
mature technologies with a high level of market readiness.
3. Conclusions
The science of heat transfer and fluid
mechanics has been the core of a wide range of technologies such as renewable
energy and a variety of industrial sectors; this Special Issue presents research
on their different related applications. The spatial and temporal scales of the
researched phenomena indicate the versatility of thermo-fluid research. Experimental
technologies have significantly progressed and contributed to the development
of the subject matter over the last few decades. Recent advancements in
Computational Fluid Dynamics (CFD) have significantly enhanced thermo-fluid
application research by leveraging innovations in computational methods and the
associated utilized technologies. Machine learning integration has improved the
accuracy and efficiency of CFD simulations by enabling rapid predictions of
fluid dynamics and optimizing performance in complex systems. This advancement
and others have broadened CFD’s scope and applicability, positioning it as a
vital tool for advancing thermo-fluid research and applications across various
industries.
Acknowledgments
This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains, and the publisher, by accepting the article for publication, acknowledges, that the United States Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan, accessed on 1 June 2023).
Conflicts of Interest
The author declares no conflict of interest.
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