Article
Energy & Fuels
Zenglin Jiang, Xiaohong Wang, Hao Deng, Jia Zhao, Yugang Li
Summary: This study selected 16 environmentally friendly and easily degradable ionic liquids for fuel desulfurization research. Through molecular mechanism studies and experiments, it was found that [C2COOCH3ImC6H13][NTF2] ILs exhibited high desulfurization efficiency.
JOURNAL OF THE ENERGY INSTITUTE
(2024)
Article
Engineering, Chemical
Lianwen He, Jing He, Peng Cui, Yuting Feng, Mingqing Hua, Jinrui Zhang, Peiwen Wu, Wenshuai Zhu, Huaming Li, Zhichang Liu, Chunming Xu
Summary: By introducing porous boron nitride into ionic liquids, the efficiency of sulfur extraction from fuel oil can be improved. Using m-BN-PIL as an extractant under optimized conditions achieves desulfurization performances of 59.2% and 61.8% for dibenzothiophene and 4-methyldibenzothiophene, respectively. After four stepwise extractions, the extraction efficiency over dibenzothiophene reaches 98.2%, achieving deep desulfurization of fuel oil.
SEPARATION AND PURIFICATION TECHNOLOGY
(2023)
Article
Engineering, Chemical
Guojia Yu, Dongyu Jin, Xinyu Li, Fan Zhang, Shichao Tian, Yixin Qu, Zhiyong Zhou, Zhongqi Ren
Summary: A nitrogen-containing ionic liquid was used to effectively remove sulfur-containing contaminants from model fuel oil, demonstrating its selectivity and stability.
FRONTIERS OF CHEMICAL SCIENCE AND ENGINEERING
(2022)
Article
Chemistry, Applied
Jinrui Zhang, Jie Yin, Wendi Fu, Hongshun Ran, Wei Jiang, Hongping Li, Wenshuai Zhu, Huaming Li, Ming Zhang
Summary: Silica-based porous ionic liquids (OS-PIL) functionalized with quaternary ammonium salt were successfully synthesized to remove dibenzo-thiophene (DBT) in model fuel. The OS-PIL exhibited high extraction activity with a Nernst partition coefficient of 4.22. The synergistic effect between porous materials and ionic liquids, along with the multiple sites in the quaternary ammonium salt, greatly contributed to the high extractive desulfurization efficiency.
FUEL PROCESSING TECHNOLOGY
(2023)
Article
Biotechnology & Applied Microbiology
Pingping Zhao, Xiaoxin Wang, Qiang Wang, Lianzheng Zhang, Dongmei Xu, Jun Gao
Summary: A series of ionic liquid (IL) extractants were developed for the removal of sulfides from fuels. The ILs, synthesized with functionalized 1,8-diazabicyclo[5.4.0]undecano-7-ene (DBU) cations and large volume difluoromethane sulfonimide (NTf2) anion, showed good performance in removing benzothiophene (BT), thiophene (TH), and dibenzothiophene (DBT) in model oil.
JOURNAL OF CHEMICAL TECHNOLOGY AND BIOTECHNOLOGY
(2023)
Article
Energy & Fuels
Sofia Laraib, Sana Zulfiqar, Noshaba Tabassum, Sohaila Andleeb, Saima Nasreen
Summary: Humanity is threatened by the systematic pollution of the environment, accompanied by dwindling resources due to rapid population growth. To address this issue, researchers synthesized graphene oxide-GO and magnetic graphene oxide-MGO and fabricated them with cellulose acetate for desulfurization of fuel. These materials demonstrated effective desulfurization and adsorption capabilities, offering a promising solution to reduce pollution.
Article
Energy & Fuels
Filipa Lima, Luis C. Branco, Armando J. D. Silvestre, Isabel M. Marrucho
Summary: This review article presents the use of deep eutectic solvents (DES) in removing sulfur pollutants from transportation fuels, highlighting the urgent need to reduce the impact of fossil fuels impurities on outdoor air pollution. A comparative evaluation with Ionic Liquids (ILs) shows that DES has advantages in extracting sulfur contaminants, but the efficiency gap between simulated matrices and real fuels is still a challenge to be addressed.
Review
Energy & Fuels
Suman Tahir, Umair Yaqub Qazi, Zubera Naseem, Noor Tahir, Muhammad Zahid, Rahat Javaid, Imran Shahid
Summary: The increasing energy consumption has led to a rise in sulfur emissions, causing economic and health issues, as well as impacting the efficiency of diesel engine emission control systems. To combat this, research is being conducted on various desulfurization technologies, including conventional methods like hydrodesulfurization and alternative processes such as adsorptive, extractive, oxidative, and bio-desulfurization. Factors such as DES selection, extraction temperature, extraction time, DES regeneration, and multistage extractions play a crucial role in the desulfurization efficiency, with deep eutectic solvents showing promise as a less toxic and more efficient alternative for extractive desulfurization.
Article
Chemistry, Physical
Zahra Moheb-Aleaba, Mohammad Reza Khosravi-Nikou
Summary: Extractive desulfurization using ionic liquids has attracted attention due to its simplicity and easy operating conditions. However, the selection of suitable cations and anions remains a challenge. This study developed a methodology to screen cation and anion molecules for maximum sulfur removal efficiency. Through genetic algorithm and principal component analysis, it was determined that certain imidazolium and pyridinium cations combined with specific anions are promising for extractive desulfurization. The selected ionic liquid, [HMPY][N(CN)2], was synthesized and evaluated, showing potential as a solvent for removing DBT or BT from n-heptane.
JOURNAL OF MOLECULAR LIQUIDS
(2023)
Article
Engineering, Chemical
Zahra Moheb-Aleaba, Mohammad Reza Khosravi-Nikou
Summary: This study developed a new methodology for screening suitable cation and anion molecules to achieve maximum sulfur removal efficiency. The best structural descriptors were selected using Genetic Algorithm, and then the most proper cations and anions were chosen using Principal Component Analysis (PCA). It was concluded that ionic liquids with imidazolium and pyridinium cations with hexyl chain, combined with [N(CN)2] and [Ac] anions, are promising extraction solvents for desulfurization.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2023)
Article
Engineering, Chemical
Sarrthesvaarni Rajasuriyan, Hayyiratul Fatimah Mohd Zaid, Mohd Faridzuan Majid, Raihan Mahirah Ramli, Khairulazhar Jumbri, Jun Wei Lim, Mardawani Mohamad, Pau Loke Show, Brian Yuliarto
Summary: The biggest challenge faced in oil refineries is the removal of sulfur compounds in fuel oil. Researchers have studied a new desulfurization process that combines extractive desulfurization and oxidative desulfurization using a combination of ionic liquids and a photocatalyst to achieve efficient desulfurization.
Article
Engineering, Chemical
Israel F. Martinez-Galmiche, Nelly Ramirez-Corona, Carolina Conde-Mejia, Kelvyn B. Sanchez-Sanchez, Rafiqul Gani, Arturo Jimenez-Gutierrez
Summary: This study presents designs of extractive distillation systems for ethanol-water separation using ionic liquids as entrainers. The most energy-efficient design consists of an extractive column, a desorption column, and a membrane unit for ionic liquid recovery.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2022)
Article
Energy & Fuels
Mahdieh Amereh, Ali Ebrahimpoor Gorji, Mohammad Amin Sobati
Summary: The distribution of pyridine between the IL-rich phase and hydrocarbon-rich phase was predicted using the QSPR approach. A large dataset of 51 ternary systems was collected, which covered 19 cations, 14 anions, and 10 hydrocarbons. Linear and non-linear models were developed using MLR and MLP, respectively, with acceptable prediction capability. The study also investigated the impact of structural changes in cations, anions, and hydrocarbons on pyridine distribution.
Article
Engineering, Environmental
Nan Jin, Jun Yue, Yuchao Zhao, Hongying Lu, Chengxiu Wang
Summary: The study focused on intensifying extractive desulfurization using microreactor, which succeeded in extracting aromatic heterocyclic sulfur compounds like dibenzothiophene from model diesel. The process achieved efficient desulfurization in a shorter time, with the extraction modeled based on a two-film model and investigation into the mechanisms for improved performance at higher temperatures or larger IL to MD flow ratios.
CHEMICAL ENGINEERING JOURNAL
(2021)
Article
Chemistry, Physical
Jingwen Li, Yanwen Guo, Junjun Tan, Bing Hu
Summary: A novel family of imidazole-based polyoxometalate dicationic ionic liquids catalysts were synthesized for efficient desulfurization of fuel oil, showing excellent desulfurization efficiency and recyclability. The possible mechanism of the ECODS process was proposed based on the catalytic performance under different conditions.
Article
Environmental Sciences
Anuj Kumar, Anjali Ingle, Diwakar Z. Shende, Kailas L. Wasewar
Summary: This study investigates the separation of levulinic acid using reactive extraction, validating its feasibility through experimental results and modeling. The use of a mixer settler reactor scheme for separation design parameters is also discussed. The findings of this study are helpful in recovering valuable chemicals in industrial processes and reducing environmental impacts.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Review
Environmental Sciences
Dhruti Sundar Pattanayak, Dharm Pal, Jyoti Mishra, Chandrakant Thakur, Kailas L. Wasewar
Summary: Tetracyclines (TCs) antibiotics are widely used in human and veterinary medicines, but their active residues released into the environment pose risks to ecosystems and human health. Photodegradation using graphitic carbon nitride (g-C3N4) as a photocatalyst provides a promising solution for complete antibiotic degradation. Doping g-C3N4 with elements improves its activity, broadens its light-responsive range, and reduces electron-hole recombination. This review discusses the design and efficiency of doped g-C3N4 for TCs degradation in aquatic environments.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Engineering, Chemical
Fiona Mary Antony, Kailas L. Wasewar
Summary: Due to their superior characteristics, ionic liquids (IL) have been used as a more environmentally friendly alternative for extracting protocatechuic acid (PCA) from industrial waste streams and fermentation. The study found that Imidazolium-based IL, specifically 1-butyl-3-methylimidazolium octyl sulfate and 1-Hexyl-3-methylimidazolium hexafluorophosphate, had an efficiency of 87% in separating PCA from an aqueous stream at 10% IL concentration and 10 mmol L-1 PCA concentration. The research also determined various parameters that are useful for designing an industrial separation unit.
CHEMICAL ENGINEERING COMMUNICATIONS
(2023)
Article
Thermodynamics
Pouya Ifaei, Morteza Nazari-Heris, Amir Saman Tayerani Charmchi, Somayeh Asadi, ChangKyoo Yoo
Summary: In alignment with the rapid development of artificial intelligence, machine learning is being widely applied in various engineering fields. This review emphasizes the importance of using machine learning techniques in renewable and sustainable energies, and provides a comprehensive overview of the major applications and remaining challenges. It is anticipated that the rapid application of machine learning tools will speed up the development of sustainable energies in the next decade.
Article
Chemistry, Multidisciplinary
Santosh K. Nath, Anuj Kumar, Fiona M. Antony, Diwakar Z. Shende, Kailas L. Wasewar
Summary: In this study, trioctylamine was used as an extractant to extract aspartic acid from aqueous solutions using different solvents, including 1-octanol, 1-decanol, and cyclohexane. The results showed that the maximum extraction efficiencies were 86.25%, 67.25%, and 58.50% with 1-octanol, 1-decanol, and cyclohexane by trioctylamine, respectively.
JOURNAL OF THE INDIAN CHEMICAL SOCIETY
(2023)
Article
Chemistry, Multidisciplinary
Shraddha Wadatkar, Diwakar Z. Shende, Kailas L. Wasewar
Summary: The aim of this study was to use fly ash cenosphere to remove methylene blue from water streams. Nickel oxide, a semiconductor with excellent chemical stability and high catalytic activity, was used as an adsorbent material. Chitosan cenosphere buoyant composite coated with NiO was synthesized using hydrothermal grafting reaction. Batch adsorption experiments were conducted to investigate the adsorptive capabilities of the composite. The results showed that the composite exhibited enhanced degradation of methylene blue.
JOURNAL OF THE INDIAN CHEMICAL SOCIETY
(2023)
Article
Construction & Building Technology
Shahzeb Tariq, Jorge Loy-Benitez, Changkyoo Yoo
Summary: The rise in passenger traffic within underground subway stations has raised concerns about indoor air quality. This study proposes a new method for early warning systems that combines a gated probabilistic transformer framework with a genetic algorithm, aiming to improve control and ventilation of PM2.5 in underground environments. Performance evaluation shows that this method outperforms traditional methods in terms of prediction accuracy and coverage probability.
BUILDING AND ENVIRONMENT
(2023)
Article
Engineering, Chemical
Kanti Kumar Athankar, Kailas L. Wasewar
Summary: The separation of carboxylic acids from downstream processes is a major challenge in the chemical industry due to its high cost. In this study, the extraction of acrylic acid from aqueous solution using tri-n-butyl phosphate dissolved in organic diluents was investigated. Benzene showed the highest extraction efficacy and distribution coefficient, reaching 88.60% and 7.772, respectively, at lower acrylic acid concentration and higher tri-n-butyl phosphate concentration. The coextraction of water and the diffusion of acrylic acid were also discussed. The number of theoretical stages and minimum solvent-to-feed ratio were determined for the design of a continuous extraction column.
CHEMICAL ENGINEERING & TECHNOLOGY
(2023)
Article
Thermodynamics
Sangyoun Kim, Sungku Heo, Kijeon Nam, Taeyong Woo, Changkyoo Yoo
Summary: This study developed a flexible renewable energy distribution planning method based on an artificial intelligence driven spatiotemporal renewable energy prediction model. The proposed method achieved the maximization of renewable energy potential and reduction in greenhouse gas emissions and climate change vulnerability through a multi-objective genetic algorithm.
Article
Thermodynamics
Mohammad Moosazadeh, Shahzeb Tariq, Usman Safder, ChangKyoo Yoo
Summary: This study investigates the performance of a hybrid solar thermal membrane-based multigeneration system for generating power, cooling, heating, and water. The results show that the allocation of R113 in the system yielded the highest energy efficiency and lowest environmental impact. Additionally, the utilization of rejected water-ammonia achieved reasonable power density and water flux. The sustainability analysis revealed that the proposed system obtains a sustainability index greater than that of fossil fuel-based power generation systems.
Article
Thermodynamics
Abdulrahman H. Ba-Alawi, Hai-Tra Nguyen, ChangKyoo Yoo
Summary: This study proposes a coordinated sizing approach that integrates demand-side water management into the sizing optimization of a renewable energy-driven desalination system. It can significantly reduce costs, meet demands, and improve sustainability.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Biotechnology & Applied Microbiology
Shourabh Singh Raghuwanshi, Kailas L. Wasewar, Kanti Kumar Athankar
Summary: This study focused on extracting itaconic acid using reactive tri-n-butyl phosphate dissolved in natural, non-toxic diluents like sunflower oil, rice bran oil, and sesame oil. The results showed that sunflower oil had the highest extraction efficiency and distribution coefficient for itaconic acid.
JOURNAL OF CHEMICAL TECHNOLOGY AND BIOTECHNOLOGY
(2023)
Review
Green & Sustainable Science & Technology
Pouya Ifaei, Atefeh Tamaskani Esfehankalateh, Fatemeh Ghobadi, Behnam Mohammadi-Ivatloo, ChangKyoo Yoo
Summary: In recent decades, extensive research has been conducted to optimize sustainable energy, focusing on technical performance, economic profitability, and social acceptance. However, there has been limited systematic review of the most popular heuristic algorithms in this field. This study developed a Boolean logic-based program to investigate the applications of heuristic solvers in sustainable energy and explore the factors contributing to their success.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Sciences
Jorge Loy-Benitez, Shahzeb Tariq, Hai Tra Nguyen, SungKu Heo, ChangKyoo Yoo
Summary: To address the issue of sludge bulking in wastewater treatment plants, we propose a novel graph-based monitoring framework that utilizes advanced techniques to detect and diagnose sludge bulking events. The framework extracts pertinent features and causal relationships from historical datasets, allowing operators to trigger alarms and identify the root cause.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Environmental Sciences
Juin Yau Lim, Sin Yong Teng, Bing Shen How, Adrian Chun Minh Loy, Sungku Heo, Jeroen Jansen, Pau Loke Show, Chang Kyoo Yoo
Summary: This study evaluates the air pollutant control system of a coal-powered plant and proposes an upgraded configuration. Untreated flue gas is reconstructed using a variational autoencoder based on a year-long dataset collected from the plant's telemonitoring system. A superstructure model with different technology options is developed to treat NOx, SOx, and particulate matter. An artificial intelligence model is used to identify the most sustainable configuration, which includes reburning, desulfurization with seawater, and dry electrostatic precipitator, fulfilling economic, environmental, and reliability targets. The proposed system is evaluated through a Monte Carlo simulation for various scenarios with tightened discharge limits, resulting in a total annual cost of 44.1 x 106 USD/year, an environmental quality index of 0.67, and reliability indices of 0.87.
ENVIRONMENTAL POLLUTION
(2023)
