Article
Chemistry, Multidisciplinary
Amin Hedayati Moghaddam, Abdellatif Mohammad Sadeq
Summary: This study investigates the impact of operative variables on triethylene glycol (TEG) regeneration in natural gas (NG) dehydration using machine learning approach. A supervised multilayer feed-forward neural network is employed to develop robust models, and a genetic algorithm is used to determine the optimal conditions. The study sheds light on the factors influencing TEG regeneration and provides a useful framework for optimizing the NG dehydration process.
Article
Engineering, Chemical
Zong Yang Kong, Ao Yang, Chen-Cheng Tsai, Vincentius Surya Kurnia Adi, Agus Saptoro, Jaka Sunarso
Summary: Hybrid reactive-extractive distillation (RED) is a popular method for separating azeotropic mixtures by combining chemical reaction and physical azeotropic separation. However, recent studies have shown that side reactions in the hydration of ethylene oxide to form ethylene glycol can significantly increase the total energy consumption and total annual cost (TAC) of RED. These increases are attributed to larger column size, low operating pressure, and expensive cooling refrigerant. It is important for future RED studies to consider the potential side reactions.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2023)
Article
Chemistry, Multidisciplinary
Jialong Li, Taoming Wan, Haozhong Huang, Guixin Chen, Jianguo Liang, Baijun Lei
Summary: With the development of computer application technologies, an intelligent algorithm called coupled Gaussian process regression and feedback neural network (GPR-FNN) is proposed to predict performance and emission characteristics of a six-cylinder heavy-duty diesel/natural gas dual-fuel engine. Experimental results show high accuracy of the GPR-FNN model in predicting various engine parameters. The study provides new insights for the research on dual-fuel engines.
Article
Engineering, Chemical
Zahra Lotfi, Peyman Keshavarz
Summary: The study found that the presence of MDEA in TEG solution did not significantly decrease absorption efficiency during gas dehydration, and in some cases even slightly increased the performance. Increasing liquid flow rate had little effect on absorption efficiency, while increasing gas flow rate reduced it. The presence of 5 vol% water in the absorbent solution reduced water vapor absorption efficiency by approximately 20%.
SEPARATION AND PURIFICATION TECHNOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Nukala Jaswanth, G. RaamDheep
Summary: This study explores the use of an artificial neural network (ANN) to monitor the efficiency of thermoelectric generators (TEGs) through maximum power point tracking (MPPT) method.
Article
Energy & Fuels
Marcin Bernat, Stanislaw Nagy, Rafal Smulski
Summary: This article describes how an ejector can be used to create a vacuum in the glycol reboiler for efficient natural gas dehydration. Process simulations were carried out to analyze the influence of pressure reduction on glycol concentration and gas water dewpoint. It was found that using an ejector in TEG/TREG reboiler improves dehydration efficiency and reduces motive gas consumption.
Article
Energy & Fuels
Tiago Peruzzo, Rodrigo Battisti, Jose Luiz Francisco Alves, Flavio Manenti, Cintia Marangoni, Ricardo Antonio Francisco Machado
Summary: This study evaluated the regeneration of triethylene glycol (TEG) using a novel thermosyphon-assisted falling film distillation technology called Destubcal. The results showed that Destubcal technology offers advantages in energy distribution and dimensions, and can achieve high recovery ratio and bottom composition under certain conditions.
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION
(2022)
Review
Engineering, Chemical
Katilla M. C. Santos, Tamires R. Menezes, Marilia R. Oliveira, Thauane S. L. Silva, Klebson S. Santos, Vinicius A. Barros, Darley C. Melo, Andre L. Ramos, Cesar C. Santana, Elton Franceschi, Claudio Dariva, Silvia M. Egues, Gustavo R. Borges, Juliana F. De Conto
Summary: The production of natural gas has significantly increased due to the discovery of large reserves in unconventional reservoirs, making it a crucial component of the world's nonrenewable energy matrix that has seen the most growth in the last decade. In Brazil, the pre-salt layer reserves account for 47% of total natural gas production until 2020. However, there are technological challenges to overcome, particularly in developing more efficient strategies for gas conditioning and transport, including the removal of water in the gas stream.
SEPARATION AND PURIFICATION TECHNOLOGY
(2021)
Article
Engineering, Environmental
Hongji Ren, Aijun Yin, Zongxian Dai, Xiaochun Liu, Zhibin Tan, Bo Zhang
Summary: This paper proposes a method for online prediction of process parameters for petrochemical equipment. By selecting sensitive parameters and utilizing an optimized Gaussian process model, process parameters are inferred from auto-collected parameters to improve the reliability of petrochemical equipment. The effectiveness of the method is verified in a natural gas dehydration station, providing a promising solution for process parameter prediction in petrochemical processes and similar scenarios.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Chemistry, Multidisciplinary
Rajib Mukherjee, Urmila M. Diwekar
Summary: Natural gas processing involves the removal of acidic gases and dehydration, primarily using triethylene glycol (TEG) absorption. During the dehydration process, volatile organic compounds (VOCs) including BTEX are absorbed into the glycol solvent, leading to emissions during thermal regeneration of TEG. Effective mitigation of emission is essential, and a multi-objective optimization is performed to find the optimal operating conditions. The lasso-SVR-EACO strategy is used to identify sets of conditions that minimize BTEX emission.
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2021)
Article
Environmental Sciences
Saeed Rubaiee
Summary: Natural gas is a clean fuel with less adverse impact on the environment. CO2 is the main contaminant in natural gas and affects its calorific value. Cryogenic separation is an environmentally friendly technology for CO2 removal, but water must be removed first. Triethylene glycol (TEG) is commonly used for natural gas dehydration, but it has harmful effects on the environment.
Article
Energy & Fuels
Pawel Bielka, Szymon Kuczynski, Stanislaw Nagy
Summary: Observing the greenhouse effect raises the need to reduce anthropogenic carbon dioxide emissions, and one method of doing so is Carbon Dioxide Capture and Storage. This study focuses on the technologies of CO2 capture, separation, dehydration, transportation, and selection of a suitable storage site. A dehydration and compression system for captured carbon dioxide was designed with specific temperature, pressure, and mass flow rate conditions. Triethylene glycol (TEG) was used for dehydration, with a flow rate of 0.5 kg/s and a H2O content of 26.6 ppm. By adopting a maximum post-compression gas temperature, energy usage and plant operating costs are minimized. It is recommended to integrate the CO2 compression and cooling system to recover heat and increase power unit efficiency.
Article
Energy & Fuels
Wen-Cong Chen, Xue-Gang You, Ping Liu, Bao-Chang Sun, Guang-Wen Chu, Liang-Liang Zhang
Summary: Through experimental research and modeling, it was found that the rotating packed bed (RPB) has high regeneration efficiency for TEG solution in natural gas dehydration, effectively addressing the issue of confined space in offshore applications.
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION
(2021)
Article
Chemistry, Multidisciplinary
Gaihuan Liu, Lin Zhu, Jinmen Hong, Huimin Liu
Summary: In this study, an optimized triethylene glycol (TEG) dehydration approach was proposed to overcome the drawbacks of traditional methods and provide a more efficient, simplified, energy-saving, economical, and environmentally friendly technology. The improved method has less equipment and is convenient for modularization, with significant improvements in process optimization and utility utilization. Thermodynamics and economy were assessed to confirm the applicability and efficiency of the new method, showing higher energy savings and lower capital and operation costs compared to conventional methods. The environmental assessment also demonstrated superior performance.
Article
Energy & Fuels
Alireza Shams
Summary: Acid gas removal is crucial in natural gas processing, and an artificial neural network has been developed to accurately predict the vapour-liquid equilibrium ratio.
INTERNATIONAL JOURNAL OF OIL GAS AND COAL TECHNOLOGY
(2022)
Article
Engineering, Chemical
Soheil Saffary, Mansoureh Rafiee, Mohammadreza Saeidi, M. Erdem Gunay, Sohrab Zendehboudi
Summary: A machine learning approach is introduced to predict the ranges of Cu(SA) in three classes based on catalyst preparation factors. Three models, including random forest, support vector machine, and multilayer perceptron artificial neural network classifiers, are developed and optimized. The random forest model shows the best performance with 90% cross-validation accuracy and 94.7% test data prediction accuracy. The effects of synthesis factors on Cu(SA) are investigated using SHAP analysis, and it is concluded that Cu/Zn ratio has the greatest influence. The optimum synthesis conditions for high Cu(SA) are also discovered, which is of great importance for synthesis of Cu/ZnO/Al2O3 catalysts with high catalytic activity.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2023)
Article
Energy & Fuels
Reyhaneh Hasanzadeh, Javad Sayyad Amin, Behrooz Abbasi Souraki, Omid Mohammadzadeh, Sohrab Zendehboudi
Summary: In water and wastewater treatment processes, understanding sludge settlement behavior is crucial for the design of clarifiers and thickeners. Batch settling tests provide reliable and practical information about sedimentation rates. Instead of conducting multiple tests for different initial concentrations, predictive models can be developed to estimate sludge settlement behavior for a wide range of operating conditions. The proposed models in this study, based on Vandermonde matrix characteristics and a Levenberg-Marquardt algorithm, are more robust and simpler compared to other models in the literature. The models consider both settling time and initial sludge concentration as independent variables, achieving better prediction performance than existing models.
Article
Green & Sustainable Science & Technology
Esmaeil Kouhgardi, Sohrab Zendehboudi, Omid Mohammadzadeh, Ali Lohi, Ioannis Chatzis
Summary: Brown algae have attracted attention as a potential energy source due to their ability to adsorb CO2 and store carbon. This review paper discusses the cultivation and biorefinery process of brown algae, and examines the opportunities, challenges, and future prospects of brown algae-based biofuels in North America. The analysis suggests that biomass-derived fuels, including brown algae biofuels, will play a significant role in the transportation sector. However, the commercial cultivation of brown algae and meeting market demands remain the main challenges for the algal biofuels industry. Expanding the value chain of brown algae biorefinery by producing advanced biofuels and value-added by-products could have a significant impact on North American countries' GDP.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(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
Mansureh Kialashaki, Javad Sayyad Amin, Sohrab Zendehboudi
Summary: The stability of TBAB and TBPB semiclathrate hydrates with a hydration number of 38 is studied by MD simulation in the absence and presence of methane, carbon dioxide, methanol, and ethanol molecules. The order for the water models in both hydrates is TIP4P/Ice > TIP4P ≈ SPC > TIP3P. In the presence of methane and carbon dioxide, the RDF peaks decrease with decreasing pressure and increasing temperature, while MSD, diffusion coefficient, and lattice parameter increase. Methanol and ethanol molecules have an inhibitory effect on the hydrates, with a larger disruption of hydrogen bonds in the presence of methanol compared to ethanol.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Bahram Ghorbani, Sohrab Zendehboudi, Zahra Alizadeh Afrouzi
Summary: In this research, an innovative hybrid system for portable hydrogen storage and power generation with zero CO2 emission through liquefied natural gas (LNG) regasification is developed, which utilizes the heat loss for the thermo-electrochemical unit and pre-cooling the hydrogen liquefaction system. The system shows promising results in terms of energy efficiency, net annual profit, and reduced irreversibility.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Chemistry, Physical
Masoud Seyyedattar, Ali Ghamartale, Sohrab Zendehboudi, Stephen Butt
Summary: CO2 injection into petroleum reservoirs is an effective method for enhanced oil recovery and reducing CO2 emissions. This study uses molecular dynamics simulations to model the swelling behavior of CO2-oil mixtures and accurately predict the swelling factors. The results demonstrate the successful application of the MD simulation technique in investigating CO2-oil behavior.
JOURNAL OF MOLECULAR LIQUIDS
(2023)
Article
Chemistry, Multidisciplinary
Hamideh Hamedi, Sohrab Zendehboudi, Nima Rezaei, Ali Azizi, Fereshteh Shahhoseini
Summary: This study aims to synthesize magnetic nanoparticles with amphiphilic coatings for efficient oil-water separation. The smaller nanoparticles show better demulsification performance, and the functionalization with surfactants improves the separation efficiency even further. The reusable tests demonstrate the excellent stability of the functionalized nanoparticles.
Article
Chemistry, Multidisciplinary
Seyedabbas Rasouli, Nima Rezaei, Sohrab Zendehboudi, Xili Duan, Raymond L. Legge, Ioannis Chatzis
Summary: The development of continuous oil-water separation processes is important for industrial wastewater treatment. In this study, a superhydrophobic-superoleophilic (SHSO) membrane was used to investigate oil-water separation efficiency. The effects of flow rate and oil concentration on separation efficiency were studied, and the as-prepared SHSO membrane showed high separation performance.
Review
Chemistry, Multidisciplinary
Bahram Ghorbani, Sohrab Zendehboudi, Noori M. Cata Saady, Xili Duan, Talib M. Albayati
Summary: The main challenges of liquid hydrogen storage include high energy consumption, low efficiency, high expenses, and gas losses. This article reviews various approaches to improving H-2 liquefaction methods and discusses the economic, safety, and environmental aspects of these techniques. It also presents standards and codes for H-2 liquefaction technologies and investigates the current status and future potentials. Cost-efficient H-2 liquefaction systems have higher production rates, higher efficiency, lower energy consumption, and lower investment costs. The use of waste heat and renewable energy for precooling is more efficient than power generation cycles.
Review
Green & Sustainable Science & Technology
Roya Sadat Neisan, Noori M. Cata Saady, Carlos Bazan, Sohrab Zendehboudi, Abbas Al-nayili, Bassim Abbassi, Pritha Chatterjee
Summary: Arsenic (As), a poisonous and carcinogenic heavy metal, is effectively removed from drinking water using adsorption technology, which is reliable, affordable, and environmentally acceptable for decentralized water treatment systems (DWTS). This review provides a comprehensive analysis of different treatment options for As removal, including ion exchange, membrane technologies, coagulation-flocculation, oxidation, and adsorption, and compares their effectiveness under various process parameters. It also discusses the application of low-cost adsorbents for sustainable adsorption in small and isolated communities, emphasizing the potential and benefits of locally developed adsorbents.
CLEAN TECHNOLOGIES
(2023)
Editorial Material
Engineering, Chemical
Sohrab Zendehboudi
CANADIAN JOURNAL OF CHEMICAL ENGINEERING
(2023)
Article
Energy & Fuels
Bahram Ghorbani, Sohrab Zendehboudi, Mohammad Hossein Monajati Saharkhiz, Zahra Alizadeh Afrouzi, Omid Mohammadzadeh, Ali Elkamel
Summary: A novel integration of an electro-thermochemical process with industrial flue gas thermal energy and wind turbines is proposed to absorb CO2 and chemically store hydrogen as methanol, formic acid, and ammonium bicarbonate. The proposed configuration achieves high energy and exergy efficiencies and can transport large-scale energy to remote areas.
Article
Chemistry, Physical
Hind F. Hasan, Farah T. Al-Sudani, Talib M. Albayati, Issam K. Salih, Hamed N. Harharah, Hasan Sh. Majdi, Noori M. Cata Saady, Sohrab Zendehboudi, Abdelfattah Amari
Summary: In this study, MCM-41, a mesoporous silica with high surface area and large pore volumes, was successfully synthesized and used for post-combustion CO2 capture. The results showed that the CO2 adsorption capacity of MCM-41 and commercial nano-SiO2 increased with increasing CO2 concentration and temperature, reaching a peak at 60 degrees C. Additionally, MCM-41 sorbent demonstrated superior regenerability and thermal stability compared to commercial nano-SiO2.
Article
Chemistry, Multidisciplinary
Abbas Azarpour, Sohrab Zendehboudi
Summary: CO2 emission reduction is crucial for achieving climate change targets. Solvent-based post-combustion CO2 capture (PCC) processes can efficiently retrofit existing industrial operations. This study investigates the thermal degradation of monoethanolamine (MEA) using hybrid connectionist strategies and gene expression programming (GEP) to generate a correlation between solvent concentration and operating variables. The developed models, particularly the adaptive neuro-fuzzy inference system (ANFIS), accurately predict solvent degradation and can be used to optimize PCC processes for cost, energy, and environmental prospects.
