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Energies
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Advanced Multiphase Flow and Heat Transfer in Porous Media 2023
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Advanced Multiphase Flow and Heat Transfer in Porous Media 2023

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "J1: Heat and Mass Transfer".

Deadline for manuscript submissions: closed (12 July 2023) | Viewed by 8167

Special Issue Editor

Dr. Md. Imran Hossen Khan

E-Mail Website
Guest Editor
Mechanical, Medical & Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia
Interests: multiphase porous media modelling; Computational Fluid Dynamics (CFD); heat and mass transfer; Phase Change Material (PCM); multiphase transport phenomena
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We would like to invite you to submit your valuable research work to this Special Issue on multiphase flow and heat transfer in porous media.

A porous material is a pore-based multiphase domain that consists of solid, liquid, and gas (air and vapour). Mathematical modelling of multiphase transport phenomena in porous media is an effective way to understand the simultaneous heat and mass transfer processes during processing and optimise energy efficiency. The development of a multiphase porous media model is challenging, and rigorous work and therefore significant scientific effort is required to advance this field.

The aim of this Special Issue is to publish the potential research outcomes addressing the current status and challenges of multiphase porous media modelling for predicting the simultaneous heat and mass transport phenomena and process kinetics. We invite original research papers, comprehensive reviews, and short communications addressing the current challenges faced in developing multiphase porous media modelling. Topics include but are not limited to the experimental understanding and numerical modelling of porous media such as food, wood, paper, soil, rocks, and agri-based product processing. Modelling includes physics-based modelling, empirical modelling, and statistical or machine learning-based modelling to address the multiphase flow and heat transfer in porous media. Experimental works for characterising the porous material at different length scales from macro- to nanoscale are also welcome for submission to this Special Issue.

Dr. Md. Imran Hossen Khan
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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

  • modelling
  • characterisation
  • heat and mass transfer
  • multiphase flow
  • biological materials
  • saturated porous media
  • unsaturated porous media

Related Special Issue

Published Papers (5 papers)

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Research

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18 pages, 3521 KiB  
Article
Mathematical Modelling of Heat and Mass Transfer during Jackfruit Drying Considering Shrinkage
by Sumaiya Sadika Tuly, Mohammad U. H. Joardder, Zachary G. Welsh and Azharul Karim
Energies 2023, 16(11), 4461; https://doi.org/10.3390/en16114461 - 31 May 2023
Cited by 1 | Viewed by 1042
Abstract
Shrinkage is an obvious phenomenon that occurs when drying plant-based food materials, and it has a crucial influence on heat–mass transfer mechanisms, energy consumption in drying, and dried product quality. The present study aims to develop a theoretical shrinkage model considering the drying [...] Read more.
Shrinkage is an obvious phenomenon that occurs when drying plant-based food materials, and it has a crucial influence on heat–mass transfer mechanisms, energy consumption in drying, and dried product quality. The present study aims to develop a theoretical shrinkage model considering the drying kinetics and shrinkage velocity approach during the convective drying of jackfruit. Since there is no theoretical model in the literature that considers the transfer process along with shrinkage phenomena for jackfruit drying, this work focuses on presenting the drying and shrinkage kinetics behaviour through the development of a mathematical model. Two distinct models were developed, each considering the presence or absence of shrinkage phenomena. Model validation was carried out by comparing the predicted results with experimental data from drying tests conducted at 60 °C, and model accuracy was evaluated through statistical error analysis. In the shrinkage-induced model, the shrinkage exhibited a linear relationship with drying time, as the moisture content decreased from 5.25 to 0.47 kg/kg on a dry basis when the temperature increased to 54 °C. Notably, the shrinkage-induced model demonstrated superior performance, displaying low mean absolute error (MAE) values—0.27 kg/kg on a dry basis for moisture content, 2.07 °C for temperature variation, and 0.04 for shrinkage, when compared to the model without shrinkage. Furthermore, the mean relative error (MRE) values for the shrinkage-induced model were 45.71% and 33.33% lower than those of the model without shrinkage for average moisture content and temperature, respectively. The findings of this study provide valuable insights for the food drying industry, offering new knowledge about drying kinetics and shrinkage characteristics that can contribute to the development of energy-efficient drying systems. Full article
(This article belongs to the Special Issue Advanced Multiphase Flow and Heat Transfer in Porous Media 2023)
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15 pages, 2914 KiB  
Article
Possibilities of Reducing the Heat Energy Consumption in a Tissue Paper Machine—Case Study
by Mariusz Reczulski, Włodzimierz Szewczyk and Michał Kuczkowski
Energies 2023, 16(9), 3738; https://doi.org/10.3390/en16093738 - 27 Apr 2023
Cited by 2 | Viewed by 1278
Abstract
The article presents studies on the impact of the significant process parameters of a paper machine with a Yankee cylinder on its production capacity and heat energy consumption for drying the paper web. Parameters such as machine speed, web moisture content before and [...] Read more.
The article presents studies on the impact of the significant process parameters of a paper machine with a Yankee cylinder on its production capacity and heat energy consumption for drying the paper web. Parameters such as machine speed, web moisture content before and after pressing, parameters of steam supplied to the cylinder and parameters of hot air flowing from the nozzles of the hood were analyzed. The study’s results were used to optimize production to improve the energy efficiency and performance of the machine. In order to use the possible methods of improving the production capacity and heat energy consumption, the parameters of the production process were measured and the basic indicators characterizing the operation of the machine were calculated in the Yankee cylinder–dryer hood system. The correct functioning of the machine components and the possibility of their modernization were also analyzed. Technological and construction changes introduced based on the research results made it possible to increase the production capacity by 10% and to reduce the consumption of heat energy per 1 ton of produced paper by 16.3%. The article presents a description of changes in the technology of paper production and modernization of the tissue machine made in the years 2013–2022. Full article
(This article belongs to the Special Issue Advanced Multiphase Flow and Heat Transfer in Porous Media 2023)
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29 pages, 5309 KiB  
Article
Treatment of Oil Production Data under Fines Migration and Productivity Decline
by Grace Loi, Cuong Nguyen, Larissa Chequer, Thomas Russell, Abbas Zeinijahromi and Pavel Bedrikovetsky
Energies 2023, 16(8), 3523; https://doi.org/10.3390/en16083523 - 18 Apr 2023
Viewed by 1252
Abstract
Fines migration is a common cause of permeability and, consequently, injectivity and productivity decline in subterranean reservoirs. Many practitioners implement prevention or remediation strategies to reduce the impact of fines migration on field productivity and injectivity. These efforts rely on careful modelling of [...] Read more.
Fines migration is a common cause of permeability and, consequently, injectivity and productivity decline in subterranean reservoirs. Many practitioners implement prevention or remediation strategies to reduce the impact of fines migration on field productivity and injectivity. These efforts rely on careful modelling of the underlying physical processes. Existing works have demonstrated the ability to predict productivity decline by quantifying the extent of particle decline at different fluid velocities. Fluid flows in porous media often involve multiple phases, which has been shown in laboratory experiments to influence the extent of particle detachment. However, no theory has directly accounted for this in a particle detachment model. In this work, a new model for fine particle detachment, expressed through the critical retention function, is presented, explicitly accounting for the immobile fines trapped within the irreducible water phase. The new model utilises the pore size distribution to allow for the prediction of particle detachment at different velocities. Further, an analytical model is presented for fines migration during radial flow into a production well. The model accounts for single-phase production in the presence of irreducible water, which has been shown to affect the extent of fines migration significantly. Combining these two models allows for the revealing of the effects of connate water saturation on well impedance (skin factor growth) under fines migration. It is shown that the higher the connate water saturation, the less the effect of fines migration. The appropriateness of the model for analyzing production well data is verified by the successful matching of 10 field cases. The model presented in this study is an effective tool for predicting the rate of skin growth, its stabilization time and final value, as well as the areal distribution of strained particles, allowing for more intelligent well remediation design. Further, the findings of this study can help for a better understanding of the distribution of fines within porous media and how their detachment might be influenced by pore structure and the presence of a secondary immobile phase. Full article
(This article belongs to the Special Issue Advanced Multiphase Flow and Heat Transfer in Porous Media 2023)
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27 pages, 7859 KiB  
Article
Effects of Fracture Parameters on VAPEX Performance: A Numerical and Experimental Approach Utilizing Reservoir-On-The-Chip
by Aria Rahimbakhsh and Farshid Torabi
Energies 2023, 16(3), 1460; https://doi.org/10.3390/en16031460 - 02 Feb 2023
Viewed by 1042
Abstract
The present research carries out an in-detail study of the VAPEX process as one of the most recent solvent-based heavy oil recovery techniques in fractured reservoirs to evaluate the effect of fracture parameters on process performance. To achieve this purpose, several fractured patterns [...] Read more.
The present research carries out an in-detail study of the VAPEX process as one of the most recent solvent-based heavy oil recovery techniques in fractured reservoirs to evaluate the effect of fracture parameters on process performance. To achieve this purpose, several fractured patterns with distinct features were designed and engraved on glass pieces to manufacture state-of-the-art microfluidic models mimicking a typical Canadian heavy oil reservoir. A heavy oil sample of viscosity 1514 cP was utilized during the conducted experiments with pure propane and pure carbon dioxide as the injection solvents. A thorough image analysis operation was carried out over the experimental models to determine heavy oil produced, residual oil saturation, ultimate recovery factors, and monitor solvent chamber expansion. Numerical simulations of the same experiments were carried out for history matching and predicting other designed scenarios. Error analysis revealed average absolute errors of below 8%, showing convincing precision. Together with the simulation outcomes, a comprehensive data bank was obtained from the 30 scenarios designed and 18 VAPEX experiments conducted. The effects of fracture orientation, length, width, intensity, and position on process performance were identified and numerically evaluated. It was observed that all fractures, regardless of their properties, enhanced heavy oil recovery in comparison to the base case (no fractures) scenario. Moreover, propane proved more efficient owing primarily to its higher solubility and effective dispersion. The highest recovery factor, 65.81%, was obtained when implementing two wide vertical fractures on either side of the well pair. Almost equal to that, 64.93% was the process efficiency by positioning two long horizontal fractures between the wells. Full article
(This article belongs to the Special Issue Advanced Multiphase Flow and Heat Transfer in Porous Media 2023)
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Review

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27 pages, 1989 KiB  
Review
Fundamental Understanding of Heat and Mass Transfer Processes for Physics-Informed Machine Learning-Based Drying Modelling
by Md Imran H. Khan, C. P. Batuwatta-Gamage, M. A. Karim and YuanTong Gu
Energies 2022, 15(24), 9347; https://doi.org/10.3390/en15249347 - 09 Dec 2022
Cited by 9 | Viewed by 2678
Abstract
Drying is a complex process of simultaneous heat, mass, and momentum transport phenomena with continuous phase changes. Numerical modelling is one of the most effective tools to mechanistically express the different physics of drying processes for accurately predicting the drying kinetics and understanding [...] Read more.
Drying is a complex process of simultaneous heat, mass, and momentum transport phenomena with continuous phase changes. Numerical modelling is one of the most effective tools to mechanistically express the different physics of drying processes for accurately predicting the drying kinetics and understanding the morphological changes during drying. However, the mathematical modelling of drying processes is complex and computationally very expensive due to multiphysics and the multiscale nature of heat and mass transfer during drying. Physics-informed machine learning (PIML)-based modelling has the potential to overcome these drawbacks and could be an exciting new addition to drying research for describing drying processes by embedding fundamental transport laws and constraints in machine learning models. To develop such a novel PIML-based model for drying applications, it is necessary to have a fundamental understanding of heat, mass, and momentum transfer processes and their mathematical formulation of drying processes, in addition to data-driven modelling knowledge. Based on a comprehensive literature review, this paper presents two types of information: fundamental physics-based information about drying processes and data-driven modelling strategies to develop PIML-based models for drying applications. The current status of physics-based models and PIML-based models and their limitations are discussed. A sample PIML-based modelling framework for drying application is presented. Finally, the challenges of addressing simultaneous heat, mass, and momentum transport phenomena in PIML modelling for optimizing the drying process are presented at the end of this paper. It is expected that the information in this manuscript will be beneficial for further advancing the field. Full article
(This article belongs to the Special Issue Advanced Multiphase Flow and Heat Transfer in Porous Media 2023)
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