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Modelling of Energy-Efficient Industrial and Environmental Processes Using Computational Fluid Dynamics (CFD)

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "J: Thermal Management".

Deadline for manuscript submissions: closed (5 March 2024) | Viewed by 5125

Special Issue Editor


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Guest Editor
School of Engineering, College of Engineering and Physical Sciences, University of Guelph, Guelph, ON N1G 2W1, Canada
Interests: geothermal energy; solar energy; transport in porous media; heat and mass transfer; waste energy recovery; CFD; design optimization
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Special Issue Information

Dear Colleagues,

Industrial and environmental processes span many science and engineering disciplines and include different transport phenomena such as mass, momentum, and energy transfer. Modeling these processes is important for designing, optimizing, and assessing the performance of the systems involving such processes. Simulating the industrial and environmental processes include sometimes Multiphysics which led to highly coupled and nonlinear equations which require numerical methods to solve. Computational Fluid Dynamics (CFD) is a well-established numerical method for solving problems that involve fluid flow, heat transfer, mass transfer, and chemical reaction. In recent years, CFD has been heavily used to simulate complex industrial and environmental processes giving the dramatic growth in computational power and the development of open-source and commercial CFD packages.

This Special Issue aims to present and disseminate the most recent advances related to the numerical modeling of industrial and environmental processes using CFD. Topics of interest for publication include, but are not limited to: CFD simulation of industrial processes in primary (extraction and agriculture) or secondary (manufacturing including additive manufacturing) levels as well as environmental processes that involve the interaction of water, air, and soil with the humans and biosphere.

Processes include single and multiphase flows, sensible and latent heat transfer, mass transfer, separation, absorption, adsorption, thermal stresses, optimum design of industrial equipment, heat exchangers, reactors, cooling towers, and environmental flow processes.

Dr. Mostafa H. Elsharqawy
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • CFD
  • industrial process
  • manufacturing
  • environmental process
  • numerical simulation
  • optimum design
  • heat and mass transfer
  • single and multiphase flow
  • industrial equipment

Published Papers (3 papers)

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Research

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21 pages, 7214 KiB  
Article
Computational Fluid Dynamics of Ammonia Synthesis in Axial-Radial Bed Reactor
by Mariusz Tyrański, Jakub Michał Bujalski, Wojciech Orciuch and Łukasz Makowski
Energies 2023, 16(18), 6680; https://doi.org/10.3390/en16186680 - 18 Sep 2023
Cited by 2 | Viewed by 1194
Abstract
Ammonia synthesis by the Haber–Bosch method is a typical and effective implementation of the chemical process in the large-scale fertiliser industry. Due to the growing demand for fertilisers and food, it is desirable to study this process thoroughly using modern numerical methods to [...] Read more.
Ammonia synthesis by the Haber–Bosch method is a typical and effective implementation of the chemical process in the large-scale fertiliser industry. Due to the growing demand for fertilisers and food, it is desirable to study this process thoroughly using modern numerical methods to improve the operation of existing devices and facilitate the design of new devices in industrial installations. This manuscript focuses on the influence of the catalyst bed parameters on the ammonia synthesis process. Variants with different sizes of catalyst particles and modifications of the geometry of catalytic beds were considered. The axial-radial Topsoe converter with magnetite as a catalyst, commonly used in modern fertiliser industry beds, was investigated using Computational Fluid Dynamics. As a result, contours of velocity, pressure, concentration, and rate of ammonia formation were obtained. The analysis of the obtained results made it possible to determine the gradient of ammonia production rate in the catalyst bed and designate zones with negligible reaction rates. The authors also proposed possible bed geometry modifications to reduce bed volumes without affecting the converter’s performance. Full article
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16 pages, 4828 KiB  
Article
CFD-Based Sensitivity-Analysis and Performance Investigation of a Hydronic Road-Heating System
by Arslan Ahmed, Fosca Conti, Michael Schießl-Widera and Markus Goldbrunner
Energies 2023, 16(5), 2173; https://doi.org/10.3390/en16052173 - 23 Feb 2023
Viewed by 1393
Abstract
To minimize the impact of snowfall and ice formation on safety of transportation, salt is sprinkled on the asphalt every winter. However, the use of salt has economical as well as ecological disadvantages. To resolve these problems, road heating systems are used in [...] Read more.
To minimize the impact of snowfall and ice formation on safety of transportation, salt is sprinkled on the asphalt every winter. However, the use of salt has economical as well as ecological disadvantages. To resolve these problems, road heating systems are used in the northern regions of Europe and America. Despite their widespread usage, considerable potential of the operational optimization is evident. The current systems are controlled under predefined weather conditions such as start of operation at 5 °C air temperature, even when snowfall is absent. Consequently, loss of energy input to heat the system is caused. To avoid unnecessary financial and energetic expense, this study presents CFD-based performance investigation as a basis for a novel predictive controller to increase the operational efficiency of hydronic road heating systems (HRS). The simulation model was developed based on a real operational HRS located in Ingolstadt and composed of bridges and ramps for a total surface of 1989 m2. Climate data of the years 2019–2020 from local weather stations were implemented in the simulation model for performance prediction on extreme climate conditions. This investigation identified that up to 70% of operational hours in terms of energy input can be saved by using a hypothetical predictive controller, thus making the HRS a more economically efficient and environmentally attractive alternate to conventional de-icing techniques. Full article
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Review

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24 pages, 3354 KiB  
Review
Challenges Facing Pressure Retarded Osmosis Commercialization: A Short Review
by Bassel A. Abdelkader and Mostafa H. Sharqawy
Energies 2022, 15(19), 7325; https://doi.org/10.3390/en15197325 - 5 Oct 2022
Cited by 2 | Viewed by 1784
Abstract
Pressure-retarded osmosis (PRO) is a promising technology that harvests salinity gradient energy. Even though PRO has great power-generating potential, its commercialization is currently facing many challenges. In this regard, this review highlights the discrepancies between the reported power density obtained by lab-scale PRO [...] Read more.
Pressure-retarded osmosis (PRO) is a promising technology that harvests salinity gradient energy. Even though PRO has great power-generating potential, its commercialization is currently facing many challenges. In this regard, this review highlights the discrepancies between the reported power density obtained by lab-scale PRO systems, as well as numerical investigations, and the significantly low power density values obtained by PRO pilot plants. This difference in performance is mainly due to the effect of a pressure drop and the draw pressure effect on the feed channel hydrodynamics, which have significant impacts on large-scale modules; however, it has a minor or no effect on small-scale ones. Therefore, this review outlines the underlying causes of the high power density values obtained by lab-scale PRO systems and numerical studies. Moreover, other challenges impeding PRO commercialization are discussed, including the effect of concentration polarization, the solution temperature, the pressure drop, and the draw pressure effect on the feed channel hydrodynamics. In conclusion, this review sheds valuable insights on the issues facing PRO commercialization and suggests recommendations that can facilitate the successful development of PRO power plants. Full article
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