Article
Chemistry, Physical
Qingwang Yuan, Xiangyu Jie, Bo Ren
Summary: This study proposes a novel method to generate hydrogen within petroleum reservoirs using remaining/unrecovered oil and gas. By heating, catalyzing, and controlling water-oil ratio, the researchers achieved high hydrogen content in rock samples.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Energy & Fuels
Amin Solouki, Shaffiq A. Jaffer, Jamal Chaouki
Summary: This paper presents an industrial process scheme for microwave-assisted demetallization and desulfurization of crude oil, showing advantages in efficiency, environmental friendliness, and low energy consumption. Economic investigation indicates the superiority of this process compared to existing technologies, with success depending on microwave power and regeneration process efficiency.
Article
Green & Sustainable Science & Technology
Shijie Cao, Zhengjie Chen, Wenhui Ma, Hongmei Zhang
Summary: A new vacuum-assisted alkali roasting desulfurization technology for petroleum coke is introduced in this article. The experiments show that vacuum conditions are more effective in removing organic sulfur in petroleum coke. By using vacuum-assisted alkali roasting, the sulfur content of petroleum coke can be reduced to 0.18%.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Engineering, Chemical
Hua Chen Wu, Nguyen Nhat Huy, Eilhann Kwon, Jia-Yin Lin, Attasak Jaree, Jechan Lee, Suresh Ghotekar, Xiaoguang Duan, Duong Dinh Tuan, Kun-Yi Andrew Lin
Summary: This study demonstrates for the first time the oxidation of VAA to VNL using a carbon-based material as a metal-free catalyst in the absence of any oxidizing reagents. At 130 degrees C for 2 h, a high conversion efficiency and selectivity of VAA to VNL can be achieved.
JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS
(2022)
Article
Engineering, Environmental
Wei Pan, Lingrong Yang, Huimin Jin, Ruge Yi, Zhigang Liao
Summary: The objective of this study was to improve the efficiency of microbial desulphurization of sulfide ore by pretreatment with ultrasonic and microwave techniques. The experimental results show that ultrasonic followed by microwave pretreatment method has the best enhancement effect on bacterial desulphurization of sulfide ores, achieving the purpose of inhibiting self-heating reaction and preventing spontaneous combustion of sulfide ore.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2022)
Article
Chemistry, Applied
Sungtak Kim, Jochen Lauterbach
Summary: ZSM-5 zeolites synthesized using a microwave-assisted heating method exhibited larger crystal sizes and broader mesopore size distribution, with similar acidity properties compared to those obtained via conventional heating method. Different heating methods resulted in varied crystal sizes and roughness, influencing the fast crystal growth and consumption of silicon and aluminum precursor during hydrothermal synthesis.
MICROPOROUS AND MESOPOROUS MATERIALS
(2021)
Review
Environmental Sciences
Snehlata Kumari, Sonali Sengupta
Summary: In order to effectively remove sulfur- and nitrogen-containing compounds from petroleum, it is necessary to develop technologies that can simultaneously and efficiently handle both compounds, with unconventional non-hydrogen methods potentially becoming a viable option.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Chemistry, Applied
Chang Deng, Haonan Zhu, Yan Huang, Hui Liu, Penghui Liu, Peng Cui, Yanhong Chao, Jixing Liu, Renjie Wang, Peiwen Wu, Wenshuai Zhu
Summary: A magnetic response catalyst, HEO-1100, with a high entropy structure was developed for ultra-deep oxidative desulfurization of diesel. The HEO-1100 catalyst showed significantly enhanced catalytic performance due to its electron-deficient structure and high dispersion of active sites, and it could retain magnetism even at high temperatures, allowing for easy separation and recycling.
Article
Engineering, Environmental
Himanshu Goyal, Sunitha Sadula, Dionisios G. Vlachos
Summary: This study investigates the impact of selective microwave heating on multiphase reactors, focusing on slurry reactors with solid particles dispersed in liquid. Through experiments, theory, and simulations, they propose an ideal reactor and analytical expressions to predict temperature evolution. The results show a strong influence of solid material and concentration on the heating rate of slurries.
CHEMICAL ENGINEERING JOURNAL
(2021)
Article
Materials Science, Ceramics
Jakob Konig, Rasmus R. Petersen, Niels Iversen, Yuanzheng Yue
Summary: This study investigates the use of foaming agents to foam cathode-ray-tube panel glass and explores the impact of carbon type, MnxOy, and furnace atmosphere on foaming effect and physical properties of foams. The results show that the best foaming effect is achieved with MnO2 in an oxidizing atmosphere, while oxidation of carbon is facilitated by Mn3O4 in an oxygen-free atmosphere, leading to the formation of CO and open porosity. The study demonstrates the potential for improving thermal insulation by decreasing density in closed-porous samples produced with carbon black and Mn3O4.
JOURNAL OF NON-CRYSTALLINE SOLIDS
(2021)
Article
Multidisciplinary Sciences
Mohadeseh Farahani, Mehdi Mousavi-Kamazani, Zohreh Salarvand
Summary: Ce0.5Bi0.5VO4/rGO nanocomposite was synthesized using the sonochemical method to improve the desulfurization efficiency of petroleum derivatives. The nanocomposite showed an amorphous structure and smaller particle size distribution under optimal synthesis conditions. The presence of reduced graphene oxide (rGO) in the nanocomposite enhanced photocatalytic efficiency by improving charge separation. The addition of hydrochloric acid and hydrogen peroxide further increased the desulfurization efficiency.
SCIENTIFIC REPORTS
(2023)
Article
Multidisciplinary Sciences
Olawumi Oluwafolakemi Sadare, Michael Olawale Daramola
Summary: Biodesulfurization (BDS) was used to degrade dibenzothiophene (DBT) in diesel using two Pseudomonas sp. bacteria. The desulfurization pathways of DBT were determined by gas chromatography (GC)/mass spectrometry (MS) and High-Performance Liquid Chromatography (HPLC). Results showed promising potential for decreasing the sulfur content of South African diesel oil.
SCIENTIFIC REPORTS
(2023)
Article
Energy & Fuels
Yong Zhang, Qi Yu, Huanhuan Wang, Mingxu Zou
Summary: This paper uses NaBr-CH3COOH system for desulfurization experiments, showing different desulfurization effects under various acid concentration conditions, with the highest desulfurization yield at pH = 2. The desulfurization process mainly involves oxidative desulfurization and other side reactions, improving the combustion performance of petroleum coke.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2021)
Article
Energy & Fuels
Longfei Tang, Xueli Chen, Xiuxiang Tao
Summary: This study investigated the non-thermal microwave effect in the removal of organic sulfur from coal through microwave irradiation combined with oxidation assistants. XANES analysis revealed that microwave radiation promoted the conversion of low-valence sulfur into high-valence sulfur, resulting in the presence of heterocyclic and oxidized sulfur in the treated coal. Quantum chemical calculations demonstrated the improvement in nucleophilic reaction activity of sulfur-containing groups and reduction in C-S bond strength under the influence of extra electric fields from the non-thermal microwave effect. The reduction of reaction activation energy and increase in reaction rate further facilitated the formation of oxidized sulfur in coal.
Review
Energy & Fuels
Hua Li, Jialiang Xu, Samuel Mbugua Nyambura, Jufei Wang, Chao Li, Xueru Zhu, Xuebin Feng, Yongjian Wang
Summary: This paper summarizes the heating mechanisms and effect factors of traditional and microwave heating pyrolysis in food waste treatment. It reviews the latest studies on biochar, bio-oil, and biogas produced from food waste pyrolysis using both traditional and microwave heating methods. The review focuses on the effects of heating methods on the products and yields of food waste pyrolysis, providing important insights for its application and further research. Techno-economic analysis and future implications for the development of food waste pyrolysis are also discussed.
Article
Engineering, Chemical
Bin Lin, Wenyao Chen, Nan Song, Zhihua Zhang, Qianhong Wang, Wei Du, Xinggui Zhou, Xuezhi Duan
Summary: In this study, spin-polarized density functional theory (DFT) calculations were performed to investigate the reaction pathway from propylene to acrolein over two representative Au surfaces (Au(1 1 1) and Au(1 0 0)). The study revealed the impact of oxygenated species on the adsorption and activation of propylene gas, as well as three pathways of acrolein formation. The insights gained from this research have important implications for the design and optimization of gold catalysts for the direct epoxidation of propylene.
CHINESE JOURNAL OF CHEMICAL ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Yunning Yang, Renchu He, Guo Yu, Wei Du, Minglei Yang, Wenli Du
Summary: This paper addresses a crude oil scheduling problem in a marine-access refinery, considering the storage, blending, and processing of complex types of crude and the demands of downstream units. A full-space MINLP model is proposed to optimize the operation of crude unloading and blending, and handle the complex mixtures in the tank. An efficient rolling horizon approach is developed for large model sizes. Case studies show the efficiency of this approach and the influence of new constraints on the final solution.
COMPUTERS & CHEMICAL ENGINEERING
(2023)
Article
Telecommunications
Nan Zhao, Wei Du, Fan Ren, Yiyang Pei, Ying-Chang Liang, Dusit Niyato
Summary: This study proposes a contract-based framework to address the TORSCI issue under asymmetric information. By designing a three-dimensional task-resource-reward contract, the optimal strategy for task offloading, resource sharing, and computation incentive is obtained. Simulation results demonstrate the efficiency of this contract-based incentive approach.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Chemistry, Physical
Sheng Yang, Songqing Peng, Zhenyu Xiao, Zhiqiang Liu, Chengwei Deng, Wei Du, Nan Xie
Summary: Fuel cells have gained significant attention as a high-efficiency and eco-friendly energy conversion technology. This study proposes a novel residential combined cooling, heating, and power (CCHP) system, which includes a biomass gasifier, a proton exchange membrane fuel cell (PEMFC) stack, an absorption chiller, and auxiliary equipment. By evaluating the system performance under different operating parameters, biomass materials, and moisture content, the CCHP mode is found to exhibit the best performance in terms of energy utilization and CO2 emissions. Exergy analysis highlights the need for optimization and transformation of the gasifier and PEMFC stack. This research provides practical guidance for improving the performance of integrated CCHP systems with PEMFC, enabling efficient cogeneration, green hydrogen production, and full recovery of low-grade waste heat.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Engineering, Chemical
Hao Li, Yuhang Zhu, Xianming Meng, Shipeng Li, Wei Du, Xuda Qin
Summary: This paper mainly focuses on the influence of laser generated microgrooves geometric parameters (groove depth, distances, and patterns) on the shearing strength of CFRP/aluminium alloy adhesive joints. The surface morphology, cross-sectional shape, groove parameters, and surface roughness were observed and measured using scanning electron microscopy (SEM) and confocal laser scanning microscope (CLSM). The quality of the adhesive joint was examined through single-lap shear experiments, and the failure modes under different groove parameters were analyzed using a digital camera. The interaction effects of groove pattern and groove distance were found to be the most significant factors affecting shear strength.
JOURNAL OF ADHESION
(2023)
Article
Computer Science, Artificial Intelligence
Shifei Ding, Wei Du, Chao Li, Xiao Xu, Lijuan Wang, Ling Ding
Summary: The improved density peaks clustering algorithms (DPCV and MDDPC) based on the density peaks clustering algorithm have improved clustering accuracy by using methods such as variance and Manhattan distance, while solving problems such as the inability to effectively identify cluster centers and the chain reaction caused by error allocation.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
(2023)
Article
Computer Science, Information Systems
Alok Kumar Bharati, Venkataramana Ajjarapu, Wei Du, Yuan Liu
Summary: In recent years, the increase in D-IBRs has had an impact on grid performance, and dynamic T & D co-simulation is an effective method for evaluating this impact. This article innovatively achieves accurate coordination of T & D models by including dynamic models of power electronic controls, and demonstrates that D-IBRs with GFM controls can assist in primary frequency regulation.
IEEE SYSTEMS JOURNAL
(2023)
Article
Engineering, Chemical
Wei Du, Zhiping Xie, Zhicheng Sun, Lei Zhang, Na Tang, Penglei Cui, Junfeng Wang
Summary: Semibatch reactive crystallization and hydrothermal reaction were conducted to investigate the polymorph and morphology of cerium carbonate. Ce2(CO3)3·8H2O, CeCO3OH, and their composites were obtained at different temperatures and concentrations of cerium chloride solution. The stability, solubility, and dehydration and decomposition processes of Ce2(CO3)3·8H2O and CeCO3OH were discussed. Different crystal morphologies were achieved in semibatch and hydrothermal reactive crystallization. In situ Raman spectroscopy and FBRM were used to monitor the reaction, nucleation, and growth processes. The thermodynamics driving force of supersaturation mainly controlled the nucleation and morphology of cerium carbonate. The transformation routes from cerium chloride and sodium carbonate to cerium oxide were summarized.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Wei Du, Kevin P. P. Schneider, Greg P. P. Wiegand, Francis K. K. Tuffner, Jing Xie, Orris L. L. Dent
Summary: This paper proposes a supplemental control strategy for dynamic voltage restorers (DVRs) to improve the primary frequency response of microgrids by regulating voltage-dependent loads. Experimental and simulation results show that the supplemental control can effectively improve the primary frequency response of microgrids, expanding the functionality of DVRs from power quality improvement to frequency regulation.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Automation & Control Systems
Haojie Huang, Xin Peng, Wei Du, Steven X. Ding, Weimin Zhong
Summary: Gaussian process regression (GPR) is a popular Bayesian method for nonlinear fitting, offering predictive capability, uncertainty measurement, and interpretable structure. However, the original GPR has limited effectiveness on Big Data problems due to its heavy complexity. While several sparse GPR methods have been proposed to address this, they often sacrifice prediction accuracy. This article introduces a novel sparse GPR method with a new objective function to obtain hyperparameters in a different way, demonstrating better performance on prediction through experiments on real diesel engine and public datasets.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Computer Science, Artificial Intelligence
Wei Du, Shifei Ding, Chenglong Zhang, Zhongzhi Shi
Summary: Most recent research on MARL has focused on deploying cooperative policies for homogeneous agents, but realistic multiagent environments may have heterogeneous agents. To tackle the challenges posed by heterogeneity and diverse relationships, the researchers propose a novel method that uses a heterogeneous graph attention network to model the relationships between heterogeneous agents.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Jiakai Xiao, Yang Qian, Wei Du, Yuyang Wang, Yuanchun Jiang, Yezheng Liu
Summary: This study investigates the potential applications of Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) in the electricity industry. VR/AR/MR techniques play an important role in the complex giant system of the electric power system, which consists of generation, distribution, transmission, and consumption systems. This study discusses how these immersive techniques are used in the production, operation, and management of the electricity industry, and summarizes the potential issues and opportunities. The aim is to inspire future research and development implementation of VR/AR/MR techniques for researchers or electricity workers.
2023 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS, VRW
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Thanh Long Vu, Ankit Singhal, Kevin Schneider, Wei Du
Summary: The dynamic operation of networked microgrids leads to variations in topological configurations and generator commitments, corresponding to systems with different electrical characteristics. Fixed control gains of power electronic devices may result in undesirable system performance when electrical characteristics change significantly. Therefore, this paper proposes using observer-based reinforcement learning to automatically tune the proportional-integral (PI) gains of phase lock loop (PLL) controller of grid-following (GFL) inverters to adapt to the changing system strengths in networked microgrid operations. Simulation results using a modeled 26kV electric distribution system demonstrate the need and effectiveness of the proposed adaptive controls.
2023 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE, ISGT
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Jing Xie, Michael C. W. Kintner-Meyer, Siddharth Sridhar, Xinyi Chen, Thomas E. McDermott, Wei Du, Kevin P. Schneider, Heng Wang, Juan Carlos Bedoya, Kefei Mo, Meghana Ramesh
Summary: The increasing number of electric vehicles globally poses challenges for power distribution systems. The inclusion of electric vehicle supply equipment should be compatible with a changing energy system. A study conducted on a utility company in the U.S. West Coast analyzes the impact of future electric vehicles and tests simple mitigation methods to improve voltage profiles.
2023 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE, ISGT
(2023)
Article
Computer Science, Artificial Intelligence
Shifei Ding, Wei Du, Ling Ding, Jian Zhang, Lili Guo, Bo An
Summary: Communication learning is an important research direction in the MARL domain. GNNs can aggregate neighbor nodes' information for representation learning. However, simply aggregating the information of neighboring agents through GNNs may not extract enough useful information, and the topological relationship information is ignored.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
