Article
Engineering, Multidisciplinary
Somayeh Davoodabadi Farahani, Behnam Kazemi Majd, Azher M. Abed
Summary: The present study investigates the influence of permeability and thickness of porous media on the thermal and hydrodynamic behavior of an oscillating cylinder at a constant temperature. The research findings show that increasing the Reynolds number and reducing the Darcy number result in shorter wakes behind the cylinder, and a decrease in permeability leads to an earlier separation point. Moreover, increasing the porous media thickness and decreasing the Darcy number result in reduced amplitudes of lift and drag coefficients, as well as lateral and longitudinal oscillation amplitudes.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Engineering, Chemical
Yang Liu, Yangbo Deng, Junrui Shi, Rujie Xiao, Houping Li
Summary: A simplified two-dimensional model of a two-layer porous burner based on pore level was developed, showing that flame structure is highly two-dimensional and obvious thermal non-equilibrium exists in the burner. The study also revealed that thermal non-equilibrium in the porous burner is greatly affected by the inlet velocity and solid thermal conductivity.
CHINESE JOURNAL OF CHEMICAL ENGINEERING
(2021)
Article
Thermodynamics
Yuanpeng Yao, Huiying Wu
Summary: The study investigated the interfacial heat transfer characteristics in metal foam porous media (MFPM) under steady thermal conduction condition, revealing significant local interfacial heat conduction but negligibly small net total interfacial conductive heat transfer unaffected by the thermal conductivity discrepancy. The study extended the Lemlich foam conductivity theory to predict the effective thermal conductivity of MFPM, which improved prediction accuracy and maintained a simple and elegant form. This work corrects previous misconceptions and provides crucial clues for more efficient ETC models of MFPM.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2021)
Article
Thermodynamics
Jiaxuan Xu, Han Wei, Hua Bao
Summary: This study applies physics-informed neural networks to investigate heat conduction in porous media and demonstrates accurate predictions for temperature/heat flux fields without any labeled training data, resulting in improved computational efficiency and flexibility. The research findings suggest that physics-informed neural networks are promising tools for studying heat transfer problems in porous media.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Thermodynamics
Jianting Zhu
Summary: In this study, a new three-cell two-phase model is developed to calculate the thermal conductivity of porous media. The model accurately predicts the thermal conductivity under different conditions and reflects the extent of solid-liquid phase contact.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Thermodynamics
Morgan Sans, Olivier Farges, Vincent Schick, Gilles Parent
Summary: This paper presents a single Monte-Carlo algorithm that can efficiently solve transient conductive and radiative heat transfers in three-dimensional porous media. The methodology demonstrated in this paper allows for practical and efficient study of geometrical and multiphysical complexities. The algorithm was validated against results obtained from various methods and exhibited significant reduction in computation times. This approach is suitable for linear thermal transfer and numerical characterization of heterogeneous media.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2022)
Article
Energy & Fuels
Qingsong Ma, Zhanpeng Zheng, Jiarui Fan, Jingdong Jia, Jingjing Bi, Pei Hu, Qilin Wang, Mengxin Li, Wei Wei, Dayong Wang
Summary: This study constructed pore-scale CO2/oil flooding models for various flooding methods and comparatively analyzed CO2/oil flow behavior and oil recovery efficiency in heterogeneous porous media. The results showed that miscible flooding significantly increased CO2 sweep area, while near-miscible flooding still struggled to displace oil in small pore throats.
Article
Energy & Fuels
Houfeng He, Pengcheng Liu, Qiu Li, Junshi Tang, Wenlong Guan, Yajing Chen
Summary: This paper introduces the application of in-situ combustion technology in developing heavy oil reservoirs and studies the applicability and influencing factors of stereoscopic fire flooding mode through experiments and simulations. The results show that the stereoscopic fire flooding mode has better performance in improving oil recovery.
Article
Chemistry, Multidisciplinary
Abdullah Al-Yaari, Dennis Ling Chuan Ching, Hamzah Sakidin, Mohana Sundaram Muthuvalu, Mudasar Zafar, Yousif Alyousifi, Anwar Ameen Hezam Saeed, Muhammad Roil Bilad
Summary: This study investigates oil extraction through nanofluid flooding and proposes a more efficient numerical model. The results show that adding nanoparticles to the base fluid enhances oil recovery and increasing the inlet temperature improves recovery as well.
Article
Green & Sustainable Science & Technology
Andrii Cheilytko, Peter Schwarzboezl, Kai Wieghardt
Summary: An analysis of existing methods for calculating heat and mass transfer processes in porous absorbers of receivers of tower solar power plants is carried out. It is shown that the resulting thermophysical properties of the material are influenced not only by the porosity but also by the location of the pores in the material volume. The proposed criterion of the dislocation vector and equation for calculating effective thermal conductivity provide improved models for heat transfer in porous media.
Article
Thermodynamics
Hans Janssen
Summary: This critique highlights conceptual and practical flaws in Zhu's thermal conductivity model, which may lead to results beyond theoretical limits and perform poorly in dry porous media.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2021)
Article
Engineering, Chemical
Huiyu Wang, Bei Wei, Zezheng Sun, Qingjun Du, Jian Hou
Summary: This study used a microfluidic chip to investigate the flow behavior of heavy oil droplets under different conditions, finding that the shape of the emulsion droplet is related to surfactant flow rate, thickness, and viscosity of heavy oil. In water flooding conditions, heavy oil droplets advance slowly along the solid surface, while they could be emulsified into tadpole-shaped droplets by surfactant.
CHEMICAL ENGINEERING SCIENCE
(2021)
Article
Chemistry, Physical
Huiyu Wang, Bei Wei, Jian Hou, Yongsheng Liu, Qingjun Du
Summary: This study used microfluidics to observe the fluid flow phenomenon in blind-ends and analyzed the oil displacement mechanism in blind-ends. The results showed that the width of blind-ends affected the displacement efficiency, and heavy oil was more difficult to displace. Polymer flooding and surfactant reduced capillary force and improved the displacement of light oil.
JOURNAL OF MOLECULAR LIQUIDS
(2022)
Article
Energy & Fuels
Xuan Qin, Wanjun Yin
Summary: A novel theoretical model for calculating effective thermal conductivity in porous media is proposed in this study. The model takes into account the distribution characteristics of particle size and shows good agreement with existing models and experimental data. This model is of great significance for studying thermophysical mechanisms in granular porous media.
Article
Engineering, Geological
Zhaoxiang Chu
Summary: A fixed-parameter ETC predictive model is proposed in this study using simple combinatory rules, which unifies the triweighted means of tri-upper and lower ETC bounds. Theoretical analyses explain the success of the weighted arithmetic combination and experimental validation shows that the presented combinatory models fit well with most ETC data of internal porosity geomaterials. However, these models give more uncertainty when applied to external porosity geomaterials such as granular sands. Meaningful analyses, conclusions, and research perspectives are obtained and provided for further investigations.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2023)
Article
Engineering, Marine
Aghatise Okoro, Faisal Khan, Salim Ahmed
Summary: The study introduces an active learning reliability method for structural reliability analysis, utilizing a hybrid metamodel and multiple point enrichment of experimental design. By combining the capabilities of Polynomial Chaos Expansion and Kriging, computational time is effectively reduced, making it suitable for analyzing complex structures with diverse characteristics.
Article
Engineering, Environmental
Md Tanjin Amin, Faisal Khan, Salim Ahmed, Syed Imtiaz
Summary: This study presents a data-driven methodology that integrates PCA with BN for fault detection and diagnosis, with the use of CD and KLD for automatic selection of principal components and development of data-driven BN learning technique. The method utilizes a combination of vine copula and Bayes' theorem to capture nonlinear dependence in high-dimensional process data, eliminating the need for discretization of continuous data.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2021)
Article
Engineering, Environmental
Md Tanjin Amin, Faisal Khan, Salim Ahmed, Syed Imtiaz
Summary: This paper proposes a risk-based fault detection and diagnosis methodology using R-vine copula and event tree for nonlinear and nonGaussian process systems. The methodology shows better performance in detecting and diagnosing abnormal situations compared to conventional techniques.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2021)
Article
Engineering, Chemical
Rajeevan Arunthavanathan, Faisal Khan, Salim Ahmed, Syed Imtiaz
Summary: This paper proposes a methodology for autonomous diagnosis of faults in complex processing systems, utilizing a one-class support vector machine model and neural network for automatic fault detection and classification. The methodology is capable of self-updating the fault database and extracting variable contributions using a permutation algorithm.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2022)
Article
Chemistry, Multidisciplinary
Md Tauhidur Rahman, Berihun Mamo Negash, Alamin Idris, Mohammad Islam Miah, Kallol Biswas
Summary: This study evaluated the effects of three ionic liquids on clay swelling inhibition, with the best performance seen in BMIMPF6 reducing swelling by 21.55%. The mechanisms of inhibition were investigated through various methods like zeta potential measurement and FT-IR spectroscopy. The study highlighted the potential of polyatomic anions for superior clay swelling inhibition compared to monoatomic anions.
Article
Engineering, Geological
Mohammad Islam Miah
Summary: Accurate measurement of acoustic velocities of sedimentary rocks is crucial for various applications, even if direct measurements are not feasible. This research aims to develop a reliable correlation to estimate shear wave velocity from existing data using machine learning approach. The study finds that predictor variables such as compressional wave velocity, rock porosity, bulk density, and shale volume have significant influence on Vs. The new correlation developed shows minimal error and high correlation coefficient when compared with existing models, indicating its potential for predicting rock mechanical properties.
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING
(2021)
Article
Engineering, Environmental
Mohammad Zaid Kamil, Faisal Khan, S. Zohra Halim, Paul Amyotte, Salim Ahmed
Summary: This study aims to develop a framework and tools to extract data from an accident database and establish a generalized accident causation model. By integrating Natural Language Processing, Interpretive Structural Model, and probabilistic methods, the model provides insights into accident factors, interactions, and pathways, and can be used for accident prevention strategies.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Computer Science, Interdisciplinary Applications
He Wen, Faisal Khan, Salim Ahmed, Syed Imtiaz, Stratos Pistikopoulos
Summary: Human-automation conflict is a frontier subject that needs to be vigilant against, especially under cyberattacks. This study transforms common attacks into understandable representations and explores the conflict under five generalized attacks using game theory. The results show that cyberattacks can significantly cause conflicts, and the control actions can buffer the impact of attacks within a limited range. The conflict risk can be used to distinguish faults and attacks, and appropriate measures can be taken accordingly.
COMPUTERS & CHEMICAL ENGINEERING
(2023)
Article
Energy & Fuels
Murtada A. Elhaj, Syed A. Imtiaz, Greg F. Naterer, Sohrab Zendehboudi
Summary: Efficient energy use is crucial for reducing emissions in the petroleum industry. This study investigates the factors influencing irreversible energy loss in hydrocarbon reservoir production and proposes models to improve recovery factor through entropy generation minimization.
Article
Engineering, Chemical
He Wen, Md. Tanjin Amin, Faisal Khan, Salim Ahmed, Syed Imtiaz, Efstratios Pistikopoulos
Summary: The conflict between human and artificial intelligence is a critical issue in Process System Engineering. This study proposes a novel methodology to quantify interpretation conflict probability and risk. The results show that interpretation conflict is often hidden or mixed with traditional faults and noises, which can easily be triggered by sensor faults, logic errors, cyberattacks, human mistakes, and misunderstandings.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2023)
Article
Engineering, Environmental
Mohammad Alauddin, Faisal Khan, Syed Imtiaz, Salim Ahmed, Paul Amyotte
Summary: Data-driven models require high-fidelity data, but obtaining such data is challenging in complex chemical processing systems due to various factors. This work proposes a process dynamics-guided neural network (PDNN) model that incorporates process knowledge and improves generalization capabilities in sparse and low-quality data.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Engineering, Chemical
Shangzhi Liu, Qinglong Liu, Salim Ahmed, Jingjing Wang, Fangyi Lei, Dongfeng Zhao
Summary: This paper proposes an early prediction method for abnormal conditions in chemical processes combining physical knowledge and the data-driven model. It has achieved good prediction performance in practical applications.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2023)
Article
Energy & Fuels
Aghatise Okoro, Faisal Khan, Salim Ahmed
Summary: Many resilience definitions and metrics have been presented across various disciplines, but little attention has been paid to quantifying the resilience of oil and gas support structures. This study proposes a methodology for quantifying the structural resilience of an offshore hydrocarbon pipeline and demonstrates it on a corroded natural gas pipeline segment with multiple initial defects. The results provide insight into the resilience quantification of structural systems considering multiple disruptive events.
JOURNAL OF PIPELINE SCIENCE AND ENGINEERING
(2022)
Review
Energy & Fuels
Murtada A. Elhaj, Mohammad Islam Miah, Mohamed E. Hossain
Summary: This paper provides a comprehensive review of hysteresis of capillary pressure in porous media, comparing and discussing both theoretical and experimental investigations. The review highlights concepts in existing models and experimental processes, tracks current development of hysteresis, and offers insight into future research trends. Additionally, it provides insight into future research opportunities to fill the research gaps in the system of porous media.
UPSTREAM OIL AND GAS TECHNOLOGY
(2021)
Article
Energy & Fuels
Yingna Du, Chen Huang, Wei Jiang, Qiangwei Yan, Yongfei Li, Gang Chen
Summary: In this study, anionic surfactants modified hydrotalcite was used as a flow improver for crude oil under low-temperature conditions. The modified hydrotalcite showed a significant viscosity reduction effect on crude oil. The mechanism of the modified hydrotalcite on viscosity and pour point of crude oil was explored through characterization and analysis of the modified hydrotalcite and oil samples.
Article
Energy & Fuels
Mohammad Saeid Rostami, Mohammad Mehdi Khodaei
Summary: In this study, a hybrid structure, MIL-53(Al)@MWCNT, was synthesized by combining MIL-53(Al) particles and -COOH functionalized multi-walled carbon nanotube (MWCNT). The hybrid structure was then embedded in a polyethersulfone (PES) polymer matrix to prepare a mixed matrix membrane (MMM) for CO2/CH4 and CO2/N2 separation. The addition of MWCNTs prevented MIL-53(Al) aggregation, improved membrane mechanical properties, and enhanced gas separation efficiency.
Article
Energy & Fuels
Yunlong Li, Desheng Huang, Xiaomeng Dong, Daoyong Yang
Summary: This study develops theoretical and experimental techniques to determine the phase behavior and physical properties of DME/flue gas/water/heavy oil systems. Eight constant composition expansion (CCE) tests are conducted to obtain new experimental data. A thermodynamic model is used to accurately predict saturation pressure and swelling factors, as well as the phase boundaries of N2/heavy oil systems and DME/CO2/heavy oil systems, with high accuracy.
Article
Energy & Fuels
Morteza Afkhamipour, Ebad Seifi, Arash Esmaeili, Mohammad Shamsi, Tohid N. Borhani
Summary: Non-conventional amines are being researched worldwide to overcome the limitations of traditional amines like MEA and MDEA. Adequate process and thermodynamic models are crucial for understanding the applicability and performance of these amines in CO2 absorption, but studies on process modeling for these amines are limited. This study used rate-based modeling and Deshmukh-Mather method to model CO2 absorption by DETA solution in a packed column, validated the model with experimental data, and conducted a sensitivity analysis of mass transfer correlations. The study also compared the CO2 absorption efficiency of DETA solution with an ionic solvent [bmim]-[PF6] and highlighted the importance of finding optimum operational parameters for maximum absorption efficiency.
Article
Energy & Fuels
Arastoo Abdi, Mohamad Awarke, M. Reza Malayeri, Masoud Riazi
Summary: The utilization of smart water in EOR operations has gained attention, but more research is needed to understand the complex mechanisms involved. This study investigated the interfacial tension between smart water and crude oil, considering factors such as salt, pH, asphaltene type, and aged smart water. The results revealed that the hydration of ions in smart water plays a key role in its efficacy, with acidic and basic asphaltene acting as intrinsic surfactants. The pH also influenced the interfacial tension, and the aged smart water's interaction with crude oil depended on asphaltene type, salt, and salinity.
Article
Energy & Fuels
Dongao Zhu, Kun Zhu, Lixian Xu, Haiyan Huang, Jing He, Wenshuai Zhu, Huaming Li, Wei Jiang
Summary: In this study, cobalt-based metal-organic frameworks (Co-based MOFs) were used as supports and co-catalysts to confine the NHPI catalyst, solving the leaching issue. The NHPI@Co-MOF with carboxyl groups exhibited stronger acidity and facilitated the generation of active oxygen radicals O2•, resulting in enhanced catalytic activity. This research provides valuable insights into the selection of suitable organic linkers and broadens the research horizon of MOF hybrids in efficient oxidative desulfurization (ODS) applications.
Article
Energy & Fuels
Edwin G. Hoyos, Gloria Amo-Duodu, U. Gulsum Kiral, Laura Vargas-Estrada, Raquel Lebrero, Rail Munoz
Summary: This study investigated the impact of carbon-coated zero-valent nanoparticle concentration on photosynthetic biogas upgrading. The addition of nanoparticles significantly increased microalgae productivity and enhanced nitrogen and phosphorus assimilation. The presence of nanoparticles also improved the quality of biomethane produced.
Article
Energy & Fuels
Yao Xiao, Asma Leghari, Linfeng Liu, Fangchao Yu, Ming Gao, Lu Ding, Yu Yang, Xueli Chen, Xiaoyu Yan, Fuchen Wang
Summary: Iron is added as a flocculant in wastewater treatment and the hydrothermal carbonization (HTC) of sludge produces wastewater containing Fe. This study investigates the effect of aqueous phase (AP) recycling on hydrochar properties, iron evolution and environmental assessment during HTC of sludge. The results show that AP recycling process improves the dewatering performance of hydrochar and facilitates the recovery of Fe from the liquid phase.
Article
Energy & Fuels
He Liang, Tao Wang, Zhenmin Luo, Jianliang Yu, Weizhai Yi, Fangming Cheng, Jingyu Zhao, Xingqing Yan, Jun Deng, Jihao Shi
Summary: This study investigated the influence of inhibitors (carbon dioxide, nitrogen, and heptafluoropropane) on the lower flammability limit of hydrogen and determined the critical inhibitory concentration needed for complete suppression. The impact of inhibitors on explosive characteristics was evaluated, and the inhibitory mechanism was analyzed with chemical kinetics. The results showed that with the increase of inhibitor quantity, the lower flammability limit of hydrogen also increased. The research findings can contribute to the safe utilization of hydrogen energy.
Article
Energy & Fuels
Zonghui Liu, Zhongze Zhang, Yali Zhou, Ziling Wang, Mingyang Du, Zhe Wen, Bing Yan, Qingxiang Ma, Na Liu, Bing Xue
Summary: In this study, high-performance solid catalysts based on phosphotungstic acid (HPW) supported on Zr-SBA-15 were synthesized and evaluated for the one-pot conversion of furfural (FUR) to γ-valerolactone (GVL). The catalysts were characterized using various techniques, and the ratio of HPW and Zr was found to significantly affect the selectivity of GVL. The HPW/Zr-SBA-15 (2-4-15) catalyst exhibited the highest GVL yield (83%) under optimized reaction conditions, and it was determined that a balance between Bronsted acid sites (BAS) and Lewis acid sites (LAS) was crucial for achieving higher catalytic performance. The reaction parameters and catalyst stability were also investigated.
Article
Energy & Fuels
Michael Stoehr, Stephan Ruoff, Bastian Rauch, Wolfgang Meier, Patrick Le Clercq
Summary: As part of the global energy transition, an experimental study was conducted to understand the effects of different fuel properties on droplet vaporization for various conventional and alternative fuels. The study utilized a flow channel to measure the evolution of droplet diameters over time and distance. The results revealed the temperature-dependent effects of physical properties, such as boiling point, liquid density, and enthalpy of vaporization, and showed the complex interactions of preferential vaporization and temperature-dependent influences of physical properties for multi-component fuels.
Article
Energy & Fuels
Yuan Zhuang, Ruikang Wu, Xinyan Wang, Rui Zhai, Changyong Gao
Summary: Through experimental validation and optimization of the chemical kinetic model, it was found that methanol can accelerate the oxidation reaction of ammonia, and methanol can be rapidly oxidized at high concentration. HO2 was found to generate a significant amount of OH radicals, facilitating the oxidation of methanol and ammonia. Rating: 7.5/10.
Article
Energy & Fuels
Radwan M. EL-Zohairy, Ahmed S. Attia, A. S. Huzayyin, Ahmed I. EL-Seesy
Summary: This paper presents a lab-scale experimental study on the impact of diethyl ether (DEE) as an additive to waste cooking oil biodiesel with Jet A-1 on combustion and emission features of a swirl-stabilized premixed flame. The addition of DEE to biodiesel significantly affects the flame temperature distribution and emissions. The W20D20 blend of DEE, biodiesel, and Jet A-1 shows similar flame temperature distribution to Jet A-1 and significantly reduces UHC, CO, and NOx emissions compared to Jet A-1.
Article
Energy & Fuels
Jiang Bian, Ziyuan Zhao, Yang Liu, Ran Cheng, Xuerui Zang, Xuewen Cao
Summary: This study presents a novel method for ammonia separation using supersonic flow and develops a mathematical model to investigate the condensation phenomenon. The results demonstrate that the L-P nucleation model accurately characterizes the nucleation process of ammonia at low temperatures. Numerical simulations also show that increasing pressure and concentration can enhance ammonia condensation efficiency.
Article
Energy & Fuels
Shiyuan Pan, Xiaodan Shi, Beibei Dong, Jan Skvaril, Haoran Zhang, Yongtu Liang, Hailong Li
Summary: Integrating CO2 capture with biomass-fired combined heat and power (bio-CHP) plants is a promising method for achieving negative emissions. This study develops a reliable data-driven model based on the Transformer architecture to predict the flowrate and CO2 concentration of flue gas in real time. The model validation shows high prediction accuracy, and the potential impact of meteorological parameters on model accuracy is assessed. The results demonstrate that the Transformer model outperforms other models and using near-infrared spectral data as input features improves the prediction accuracy.