Article
Chemistry, Physical
Liuya Fang, Zhi Shen, Xizhou Shen, Shunji Kang, Hao Song, Tian Liang
Summary: The chemical composition of model oils significantly affected the desulfurization rate and selectivity. Molecular compositions with higher π electron cloud densities or more similar structures to the extractants resulted in lower desulfurization rates and selectivities. Furthermore, the C-H...π interaction between the molecular compositions and the extractant had a greater influence on desulfurization rate and selectivity than the ring structure.
JOURNAL OF MOLECULAR LIQUIDS
(2021)
Article
Chemistry, Multidisciplinary
Qinghua Liu, Chengmin Gui, Guoxuan Li, Zhigang Lei
Summary: In order to improve the quality of fluid catalytic cracking (FCC) diesel, promising neoteric solvents called ionic liquids (ILs) were used to extract certain compounds from FCC model oil. The selection of the most suitable extraction solvent was based on various factors including thermodynamic and physical properties. Experimental data and theoretical calculations were used to understand the extraction mechanism and differences in efficiency for different compounds.
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2023)
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
Physics, Applied
K. K. Mammadhasanov, S. A. Seyidova, M. D. Ibrahimova, V. M. Abbasov, H. J. Huseynov, A. V. Komolkin
Summary: This paper presents the results of simulation of extractive purification process using N-methylpyrrolidinium acetate ionic liquid as an extractant for model diesel fuel. The ionic liquid shows high extractive ability, achieving 85-90wt.% desulfurization and 60wt.% dearomatization. Experimental studies confirmed the effectiveness, with a 94.2wt.% purification against thiophene after 1 hour of contact with the ionic liquid.
MODERN PHYSICS LETTERS B
(2023)
Article
Chemistry, Physical
Chunlu Li, Ao Li, Xingchang Cha, Qingxiang Liu, Jun Gao, Dongmei Xu, Yixin Ma, Lianzheng Zhang
Summary: Ionic liquids have shown promise as solvents in the separation field due to their functional groups, with research focusing on the phenolate anion's effects on extracting heterocyclic N-compounds like pyrrole. The study evaluated the effectiveness of a phenolate-based ionic liquid in separating pyrrole through polarity analysis, showcasing the interaction mechanisms and selectivity for pyrrole in liquid-liquid phase behavior studies.
JOURNAL OF MOLECULAR LIQUIDS
(2021)
Article
Engineering, Environmental
Yan Gao, Liangting Cheng, Ruimin Gao, Guangfa Hu, Jianshe Zhao
Summary: The study involves designing and preparing new polyionic liquid catalyst based on polyoxometalates, which shows high desulfurization activity. Additionally, supported catalysts were synthesized by loading polyoxometalate derivatives on the surface of graphene oxide, demonstrating excellent activity and recyclability in extraction-oxidation desulfurization.
JOURNAL OF HAZARDOUS MATERIALS
(2021)
Article
Chemistry, Multidisciplinary
Yan Gao, Lilong Yang, Zhe Liu, Ruimin Gao, Guangfa Hu, Jianshe Zhao
Summary: A series of PIL-based POM salts were designed and synthesized, and supported catalysts were prepared for oxidative organic sulfide extraction in fuel oils. The supported catalyst showed better performance with maximum sulfur removal efficiencies up to 98.32% to 99.98%. The catalyst can be easily recovered and reused without significant activity decrease.
NEW JOURNAL OF CHEMISTRY
(2022)
Article
Engineering, Chemical
Yasen Dai, Zhengrun Chen, Xingyi Liu, Jiafu Xing, Yuyang Jiao, Dingchao Fan, Zhaoyou Zhu, Peizhe Cui, Yanyue Lu, Yinglong Wang
Summary: The study investigates the interaction between different ionic liquids and methyl tert butyl ether/methanol, confirming the key role of anions in the extraction process. Molecular dynamics simulations are shown to predict extraction performance accurately, even without phase equilibrium data. Furthermore, ionic liquid liquid-liquid extraction proves to be a cost-saving alternative in comparison to conventional solvents.
SEPARATION AND PURIFICATION TECHNOLOGY
(2021)
Article
Chemistry, Multidisciplinary
Argam Akopyan, Polina D. Polikarpova, Nina Arzyaeva, Alexander Anisimov, Olga Maslova, Olga Senko, Elena N. Efremenko
Summary: This study investigated the effect of the hydrophobicity of mesoporous silicate SBA-15 on the catalytic activity and service life in the peroxide oxidation of sulfur-containing compounds. The immobilization of molybdate anion on SBA-15 support resulted in lower reaction temperature and longer catalyst lifespan. The hydrophobic catalyst showed insensitivity to initial sulfur content and hydrogen peroxide amount, retaining activity for at least six oxidation cycles.
Article
Chemistry, Physical
Yan Gao, Diana Julia, Dinis F. Silva, Baltazar de Castro, Jianshe Zhao, Salete S. Balula
Summary: The use of peroxopolyoxometalates as oxidative catalysts in desulfurization systems has led to improved efficiency and sustainability. Specifically, Venturello peroxotungstate has shown superior performance in desulfurizing model diesel compared to analogues, with the ability to be reused for multiple cycles. This simple and cost-effective process allows for the reuse of catalyst and solvent without the need for additional techniques.
MOLECULAR CATALYSIS
(2021)
Review
Chemistry, Multidisciplinary
N. Evelin Paucar, Peyton Kiggins, Bryson Blad, Karl De Jesus, Farjana Afrin, Srinath Pashikanti, Kavita Sharma
Summary: Ionic liquids have been developed as an effective method for extracting sulfur and nitrogen compounds from fuels, showing higher efficiency and selectivity compared to traditional processes. Despite limitations such as environmental biodegradation and bioaccumulation, they are still considered a promising technology for desulfurization and denitrogenation.
ENVIRONMENTAL CHEMISTRY LETTERS
(2021)
Review
Energy & Fuels
Amir Aghaei, Mohammad Amin Sobati
Summary: This study investigates various aspects of the extractive desulfurization process using ILs and DESs, including the physical and chemical properties of solvents, the structure of solvents, the role of oxidants and catalysts in the process, and experimental conditions. Regeneration issues related to ILs and DESs compared to traditional organic solvents are also discussed, along with challenges and associated problems in using ILs and DESs in the EDS process. Research gaps and future research directions are highlighted for further studies.
Review
Green & Sustainable Science & Technology
Yongliang Xu, Yang Liu, Yunchuan Bu, Menglei Chen, Lanyun Wang
Summary: This article discusses the harmful effects of SOx produced during coal combustion on the environment, as well as methods of using chemical agents for desulfurization. Acid/alkali desulfurization and microwave combined with chemical reagents show effective sulfur removal from coal, while the potential of ionic liquids in coal desulfurization is also highlighted.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Environmental
Xinpeng Liu, Baohua Wang, Xiaole Dong, Yahui Qiu, Qingmei Meng
Summary: The study investigated the desulfurization and regeneration performance of nanofluids composed of oxidizing ionic liquids and inert nanoparticles. It was found that the addition of SiO2 nanoparticles significantly enhanced the desulfurization and regeneration performance, with an optimal weight ratio of 0.5% and a regeneration efficiency exceeding 88%. The mass transfer coefficient also increased significantly after the addition of nanoparticles.
JOURNAL OF HAZARDOUS MATERIALS
(2021)
Article
Energy & Fuels
Suhang Xun, Rongmin Le, Chenchao Hu, Desheng Liu, Songmei Wang, Minqiang He, Wenshuai Zhu, Huaming Li
Summary: In this study, supported catalysts V2O5/3D g-C3N4 were prepared using a solvothermal method and programmed calcination, with a vanadium-based ionic liquid (V-IL) [(C8H17)3NCH3]3H3V10O28 as the vanadium source and 3D porous carbon nitride (3D g-C3N4) as the carrier. The use of V-IL promoted the high dispersion of V2O5 on the carrier and effectively avoided agglomeration. As a result, the catalytic oxidative desulfurization activity of V2O5/3D g-C3N4 was greatly enhanced, reducing the content of dibenzothiophene in model oil to 1.2 ppm under appropriate conditions. The recycling capacity and the possible process of oxidative desulfurization were also discussed.
Article
Biochemistry & Molecular Biology
Osmair Vital de Oliveira, Gerd B. Rocha, Andrew S. Paluch, Luciano T. Costa
Summary: In this study, molecular modeling techniques were used to identify potential drug candidates against SARS-CoV-2 by observing conformational changes and antigen exposure through molecular dynamics simulation. A total of 24 potential candidates, including traditional herbal isolates and approved drugs, were selected from a large drug database based on binding energy calculations.
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
(2021)
Article
Biology
Leonardo Bruno Federico, Guilherme Martins Silva, Suzane Quintana Gomes, Isaque Antonio Galindo Francischini, Mariana Pegrucci Barcelos, Cleydson Breno Rodrigues dos Santos, Luciano T. Costa, Joaquin Maria Campos Rosa, Carlos Henrique Tomich de Paula da Silva
Summary: Microtubules play a crucial role in cancer treatment, especially due to their unique structure and the colchicine binding site (CBS). Through virtual screening and molecular dynamics simulations, four promising CBS inhibitors were identified, offering potential for the development of safer drugs.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Article
Biochemistry & Molecular Biology
Osmair Vital de Oliveira, Maria Cristina Andreazza Costa, Ricardo Marques da Costa, Rafael Giordano Viegas, Andrew S. Paluch, Marcia Miguel Castro Ferreira
Summary: This study identifies six potential candidates from herbal compounds to inhibit the SARS-CoV-2 main protease through virtual screening and molecular dynamics simulations. The results suggest that these compounds interact with the protease through specific residues in the binding pocket, and non-polar and polar groups with hydrogen bond acceptors play an important role in the interactions. These findings provide valuable insights for future drug design against COVID-19.
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
(2023)
Article
Chemistry, Physical
Haroldo C. Da Silva, Andrew S. Paluch, Luciano T. Costa, Wagner B. De Almeida
Summary: This study investigated the solubility of flavonoid rutin in various solvents and calculated the solvation free energy using quantum chemical methods. The results did not strictly follow the observed solubility trend, but the PCM model (DIS, REP, CAV) showed overall agreement with the experimental solubility profile. Experimental and theoretical discrepancies were found in certain solvents, indicating the need for further investigation.
JOURNAL OF MOLECULAR LIQUIDS
(2021)
Correction
Chemistry, Physical
Tuanan C. Lourenco, Mahsa Ebadi, Daniel Brandell, Juarez L. F. Da Silva, Luciano T. Costa
JOURNAL OF PHYSICAL CHEMISTRY B
(2021)
Article
Engineering, Chemical
Lucas Paul, Geradius Deogratias, Daniel M. Shadrack, Celestin N. Mudogo, Kelvin M. Mtei, Revocatus L. Machunda, Andrew S. Paluch, Fidele Ntie-Kang
Summary: This study investigates the physical properties of linamarin and how different solvents affect these properties. The results show that water exhibits the strongest interaction with linamarin, and DMSO is the best solvent.
Article
Biochemistry & Molecular Biology
Pedro Simao Sousa Mendonca, Jeziel Rodrigues dos Santos, Osmair Vital de Oliveira, Jose Divino dos Santos, Elson Longo
Summary: Computational chemistry methods were used to study the potential of a silicon nanotube as a virucidal agent against COVID-19. The results showed that the nanotube had high reactivity and favorable binding energy with the receptor-binding domain of the SARS-CoV-2 spike protein.
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
(2023)
Article
Engineering, Chemical
Rachel C. Ollier, Thomas Nguyen, Hrithik Agarwal, Jeremy R. Phifer, Larissa Ferreira da Silva, Gabriel Goncalves Nogueira, Ana Karolyne Pereira Barbosa, Ryan T. Ley, Elizabeth J. O'Loughlin, Brett T. Rygelski, Spencer J. Sabatino, Andrew S. Paluch
Summary: This study demonstrates a method to predict the equilibrium solubility of nonelectrolyte solids using a small number of molecular simulation free energy calculations to generate reference data.
Article
Biochemistry & Molecular Biology
Ana Carolina F. de Albuquerque, Guilherme S. Correa, Gustavo T. Albuquerque, Fabio Luiz P. Costa, Luciano T. Costa, Mateus R. Lage, Jose Walkimar de M. Carneiro, Fernando Martins dos S. Junior
Summary: Plants from the Garcinia genus are widely used for their therapeutic properties. Among the various metabolites isolated from this genus, the tetraprenylated benzophenone 7-epi-clusianone stands out for its diverse biological activities. However, the existence of multiple tautomeric forms of this compound and their prevalence in different solvents have been a topic of debate. In this study, the statistical DP4+ method was employed to confirm that the B and C tautomeric forms of 7-epi-clusianone are the most prevalent in the experimental conditions, using C-13 and H-1 NMR chemical shift calculations.
JOURNAL OF MOLECULAR MODELING
(2022)
Article
Electrochemistry
Flavia C. A. Silva, Paulo F. R. Ortega, Rodrigo A. dos Reis, Rodrigo L. Lavall, Luciano T. Costa
Summary: Polymer electrolytes based on poly (vinylidene fluoride) were investigated with the addition of different concentrations of an ionic liquid. The results showed a slight decrease in electrochemical stability window and an increase in glass transition temperature with the addition of the ionic liquid, indicating reduced segmental mobility of the polymer. Experimental and simulation results of ionic conductivities were in agreement, confirming a linear Arrhenius behavior for the studied systems.
ELECTROCHIMICA ACTA
(2022)
Article
Biochemistry & Molecular Biology
Sergio A. Rodriguez, Jasmine Vy Tran, Spencer J. Sabatino, Andrew S. Paluch
Summary: This study made blind predictions of the octanol/water partition coefficients and pKa for 22 drug-like compounds. The use of solution phase-optimized geometries resulted in better agreement with experimental data compared to gas-phase optimized geometries. Furthermore, the use of an explicit water molecule improved the accuracy of pKa predictions.
JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN
(2022)
Article
Biochemistry & Molecular Biology
Rafael R. C. Mancera, Viviane S. Vaiss, Oliver E. E. Espino, Roberto R. de Avillez, Lucia G. Appel, Luciano T. Costa
Summary: This study investigates the properties of doped zirconia crystalline phases using computational methods and finds that doped zirconia is more prone to oxygen vacancy formation compared to the pure material, with the monoclinic phase favoring vacancy formation. Doping with zinc also increases the number of basic and acidic sites, and the most stable material is the Zn-doped 3-fold coordinated Zr atom.
JOURNAL OF MOLECULAR MODELING
(2022)
Article
Biochemical Research Methods
Denis Mteremko, Jaffu Chilongola, Andrew S. Paluch, Musa Chacha
Summary: A drug repositioning computational approach was used to search for inhibitors of human thymidylate synthase. The drugs Imatinib, Lumacaftor and Nal-demedine were identified as likely candidates for repurposing through ensemble-based virtual screening of FDA-approved drugs. The inclusion of water forcefield in the extended AutoDock scoring function revealed the role of water in drug-receptor interactions. Further calculations based on the Molecular Mechanics Poisson-Boltzmann Surface Area method showed that these candidate drugs have good binding affinities. Molecular dynamics trajectory analysis confirmed stable structures for these drugs throughout the simulation time.
JOURNAL OF MOLECULAR GRAPHICS & MODELLING
(2023)
Article
Engineering, Chemical
Nick H. Wong, Pratik Dhakal, Sydnee N. Roese, Andrew S. Paluch
Summary: Tools for predicting vapor-liquid phase equilibria are crucial for separation process design. The MOSCED method, based on solubility parameters, accurately predicts the limiting activity coefficient and sheds light on intermolecular interactions. This study demonstrates MOSCED's ability to predict phase equilibria and correlates enthalpy of vaporization and vapor pressure.
Article
Biochemical Research Methods
Denis Mteremko, Jaffu Chilongola, Andrew S. Paluch, Musa Chacha
Summary: This study demonstrates the potential of compounds NEA4433 and NEA4434 as strong candidates for drug targeting human thymidylate synthase (hTS) due to their excellent binding affinity, stability, and interaction with key residues involved in hTS substrate and cofactor binding.
JOURNAL OF MOLECULAR GRAPHICS & MODELLING
(2023)
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.