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Vertical velocity of a small sphere in a sheared granular bed

Physical Review Research 2024年第2期6卷 L022015-L022015页

作者： Song Gao (高颂) Julio M. Ottino Richard M. Lueptow Paul B. Umbanhowar Department of Mechanical Engineering Northwestern University Evanston Illinois 60208 USA Department of Chemical and Biological Engineering Northwestern University Evanston Illinois 60208 USA Northwestern Institute on Complex Systems (NICO) Northwestern University Evanston Illinois 60208 USA

Small particles fall through sheared beds of larger particles in settings ranging from geophysics to industry, but the study of large-to-small size ratios R, spanning the trapping threshold Rt, has been neglected. In simulations of noncohesive spheres for RRt, vp is constant at low γ̇, but again decreases at high γ̇. We model these behaviors and discuss analogies with electron transport in solids.

关键词： Granular flows Granular segregation Granular materials

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Flexible region aggregation of adjustable loads via an adaptive convex hull strategy

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Global Energy Interconnection 2025年第1期8卷 106-120页

作者： Yisha Lin Zongxiang Lu Ying Qiao Ruijie Chen State Key Lab of Power Systems Operation and Control (Department of Electrical Engineering Tsinghua University)BeijingPR China State Grid Quanzhou Electric Power Supply Company QuanzhouPR China

Increasing interest has been directed toward the potential of heterogeneous flexible loads to mitigate the challenges associated with the increasing variability and uncertainty of renewable *** the aggregated flexible region of load clusters managed by load aggregators is the crucial basis of power system scheduling for the system *** is because the aggregation result affects the qual-ity of the scheduling schemes.A stringent computation based on the Minkowski sum is NP-hard,whereas existing approximation meth-ods that use a special type of polytope exhibit limited adaptability when aggregating heterogeneous *** study proposes a stringent internal approximation method based on the convex hull of multiple layers of maximum volume boxes and embeds it into a day-ahead scheduling optimization *** numerical results indicate that the aggregation accuracy can be improved compared with methods based on one type of special polytope,including boxes,zonotopes,and ***,the reliability and economy of the power sys-tem scheduling can be enhanced.

关键词： Aggregation Flexible region Heterogeneous load Power system scheduling

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Exposure and risk assessment of organophosphorus pesticides in brinjal and tomato of Coimbatore District, Tamil Nadu, India

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Environmental Monitoring and Assessment 2025年第4期197卷 1-14页

作者： S, Arun Bala Sathish, Asha Nithya, K. Kumar, P. Senthil Rangasamy, Gayathri Department of Sciences Amrita Vishwa Vidyapeetham Coimbatore India Department of Chemical Engineering & Materials Science Amrita Vishwa Vidyapeetham Coimbatore India Amrita Vishwa Vidyapeetham Coimbatore India Centre for Pollution Control and Environmental Engineering School of Engineering and Technology Pondicherry University Kalapet Puducherry605014 India Department of Civil Engineering Faculty of Engineering Karpagam Academy of Higher Education Pollachi Main Road Eachanari Post Tamil Nadu Coimbatore641021 India

The current work gives a snapshot of pesticide residuals, their exposure levels, and the associated potential risks of some organophosphates in Coimbatore district, Tamil Nadu. The study has significant viewpoints on food safety and pesticide management. The pesticide residual analysis was carried out on two commonly used vegetables, tomato and brinjal. The QuEChERS method is used to extract pesticides and GC–MS/SIM analyses were used to quantify pesticide residues. Among the various samples tested, organophosphorus pesticides, such as Phorate Sulfoxide, Chlorpyrifos, and Malathion, were detected in some samples. In the majority of brinjal samples analyzed, no pesticide residues were detected. However, one sample showed the presence of malathion (0.001 mg/kg). The detected level of malathion was within the acceptable safety limits, indicating that the sample is safe for consumption. Nevertheless, in one of the tomato samples tested, the residual level of phorate sulfoxide (0.34 mg/kg) is found to be higher than the MRL with a health risk index of 2.79. Except for phorate sulfoxide, all the other pesticide residuals were within MRL. Phorate residues with a soil half-life of 2 to 173 days are readily water soluble and may leach easily into groundwater, adversely affecting human health. The dietary risk of phorate can also put people at increased health risks of reproductive harm, endocrine system disruption, neurological damage, and an increased risk of certain cancers. The study’s outcome suggests the need to review the strict guidelines imposed on using unsafe pesticides. Also, future investigations are necessary to validate the presence of other toxic pesticides in the study area. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025.

关键词： Fruits

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Designing an Optimal Integrated Energy System Including Sustainable Resources for Real-Time Electrical and Thermal Loads Supplying, Considering Grid Interaction 28

Designing an Optimal Integrated Energy System Including Sust...

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28th International Electrical Power Distribution Conference, EPDC 2024

作者： Kiani, Hossein Nazari, Mohammad Hassan Khorsandi, Amir Abyaneh, Hossein Askarian Hosseinian, Seyed Hossein Amirkabir University of Technology Department of Electrical Engineering Tehran Iran Smart Control Systems Department Tehran Iran

ISBN: (纸本)9798350385502

Recently, there has been significant attention directed towards renewable energy sources, driven by advancements in power electronics, cost reductions, and escalating environmental concerns. The utilization of entirely renewable sources for fulfilling energy requirements presents advantages such as reduced energy costs, sustainable expenses, and local accessibility. This research assesses various scenarios encompassing diverse configurations to minimize greenhouse gas (GHG) emissions, cost of energy (COE), and annual net present costs (NPC). The evaluation considers factors like investment, replacement, decommissioning, operation, and maintenance costs. The study conducts an optimal power planning and techno-economic-environmental analysis of a grid-connected hybrid renewable energy system, incorporating elements such as wind turbines (WT), photovoltaic systems (PVs), diesel generators (DG), boilers, converters, thermal load controllers (TLC), and battery energy storage systems (BESS). The system is designed to cater to both electrical and thermal loads concurrently. The proposed methodology is tested using HOMER software on a small-scale system situated in Manjil, Iran, with a focus on its efficacy in meeting economic and sustainable electrical and thermal requirements within a hybrid renewable energy framework. © 2024 IEEE.

关键词： Renewable energy

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Parameter estimation in solar power plant systems: a comparative study of recursive and iterative techniques

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Sustainable Energy Research 2024年第1期11卷 1-12页

作者： Sadeghi, Kiavash Hossein Shafikhah, Mahmood Marashian, Arash Roshandel, Emad Razminia, Abolhassan Department of Electrical Engineering Faculty of Intelligent Systems Engineering and Data Science Persian Gulf University Bushehr Iran Process Control Laboratory Faculty of Natural Sciences and Engineering Åbo Akademi University Turku Finland College of Science and Engineering Flinders University Adelaide Australia

The development of a dynamic model for a popular implemented solar power plant is a critical task for power engineers aiming to enhance the plant’s performance and reliability. In this study, we utilized the prediction error method (PEM), a robust algorithm for system identification, to capture the plant’s operational characteristics with precision. Additionally, we employed both recursive and hierarchical algorithms to identify the system parameters effectively. The results from each identification method are rigorously quantified and analyzed, allowing for a detailed comparison of their performance. This comprehensive evaluation not only highlights the strengths and weaknesses of each approach, but also provides valuable insights into their practical applications in the context of solar power systems. © The Author(s) 2024.

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Comprehensive technical analysis of post-combustion carbon capture and storage based on monoethanolamine absorption for petrochemical industry in Indonesia

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Clean Energy 2024年第6期8卷 16-36页

作者： Muh Asyrofi Rahma Muthia Mohammad Akita Indianto Energy Systems Engineering Graduate Program Department of Interdisciplinary EngineeringFaculty of EngineeringUniversitas IndonesiaKampus Baru UI DepokDepokWest Java 16424Indonesia Department of Chemical Engineering Faculty of EngineeringUniversitas IndonesiaKampus Baru UI DepokDepokWest Java 16424Indonesia Sustainable Energy Systems and Policy Research Cluster Universitas IndonesiaKampus Baru UI DepokDepokWest Java 16424Indonesia Tropical Renewable Energy Center Faculty of EngineeringUniversitas IndonesiaKampus Baru UI DepokDepokWest Java 16424Indonesia

The implementation of carbon capture and storage in the petrochemical industry is one of the means of *** research focuses on a comprehensive technical analysis of the deployment of post-combustion carbon capture and storage based on monoethanolamine absorption in the petrochemical *** olefin complex petrochemical industry in Tuban,Indonesia,is the basis for the analysis,which includes a steam cracker,polyethylene,polypropylene,and raw pyrolysis gasoline hydrotreating units,with capacities of 1000,940,600,and 570 kilotons/year,*** total energy consumption is about 16024.53 GJ/h,and the CO_(2) emissions are about 1.6 megatons/*** on these plant systems,comprehensive technical analyses of the implementation of carbon capture and storage in that industry were performed using Aspen HYSYS®simulation *** analysis was carried out to determine the total CO_(2) captured,energy intensity,monoethanolamine consumption,and net CO_(2) captured in various scenarios based on the number of absorber column stages,absorption pressure,and desorption *** CO_(2) storage site is about 100 km away and is transported by an onshore pipeline with a supercritical phase of CO_(2).The optimal net CO_(2) capture value is achieved by setting up a 50-stage absorber column with a pressure of 1 barg and a temperature of 110℃ at the top of the desorber column,resulting in a CO_(2) capture yield of 86.4%and an energy intensity of 12.6 GJ/ton CO_(2).Under these conditions,the net CO_(2) captured in the scenario based on gas power plants’electricity is 0.225 megatons/year,while in the scenario based on gas power plants incorporating 30%biomass electricity,it is 0.544 megatons/*** increased use of renewable energy in carbon capture and storage facilities,more net CO_(2) is *** study can be applied to various cases of post-combustion carbon capture and storage implementation in the industrial sector,especially in the

关键词： carbon capture and storage petrochemical olefin monoethanolamine absorption pipeline injection energy intensity net captured CO_(2)

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Factor analysis thermography for defect detection of panel paintings

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Quantitative InfraRed Thermography Journal 2023年第1期20卷 25-37页

作者： Liu, Kaixin Huang, Kai-Lun Sfarra, Stefano Yang, Jianguo Yi, Liu Yuan, Yao Institute of Process Equipment and Control Engineering Zhejiang University of Technology Hangzhou China Department of Chemical Engineering National Tsing Hua University Hsinchu Taiwan Department of Industrial and Information Engineering and Economics University of L’Aquila L’Aquila Italy

Active infrared thermography is an important non-destructive testing method used for revealing defect structures in materials. In many applications, thermographic data processing is necessary to extract defect features from a large number of thermal images. This work proposes to use a factor analysis thermography (FAT) method that automatically extracts defect features from thermograms via exploratory factor analysis, in tandem with a fuzzy c-means (FCM) clustering algorithm to segment the defects and background. By means of factor rotation, factor analysis minimises the complexity of factor loadings and makes the results more interpretable. Consequently, the defect information is extracted while large signal-to-noise ratios are obtained. Employing the FCM image segmentation algorithm on factor loading images reduces the interference of background on human visual detection. Additionally, the parameter selection is emphasised and addressed. Experiments on a panel painting illustrate that the proposed method promotes the accuracy and efficiency of thermographic detection of defects, compared with the popular principal component thermography (PCT) method. © 2021 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Nondestructive examination

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An Innovative PID controller Optimization Algorithm for Two-area Power System Frequency control and Monitoring 9

An Innovative PID Controller Optimization Algorithm for Two-...

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9th International Conference on Technology and Energy Management, ICTEM 2024

作者： Golshaeian, Sajad Nazari, Mohammad Hassan Hosseinian, Seyed Hossein Amirkabir University of Technology Department of Electrical Engineering Tehran Iran Smart Control Systems Department Tehran Iran

ISBN: (纸本)9798350329797

In this article, the frequency of a Two-Area power system is controlled using a proportional-integral-derivative (PID) controller that is adjusted with optimization algorithms. Classical controllers may not perform optimally under different conditions due to the natural variability of renewable energies and their uncertainties. Multiple algorithms are utilized to enhance the nominal value of the PID controller. parameters in these controllers, including particle swarm optimization (PSO), shuffled frog leaping algorithms (SFLA), and genetic algorithms (GA). By comparing their results, the most efficient method will be determined Using the integral time-absolute error (ITAE) method. MATLAB is employed for simulating the frequency control model of a Two-Area power system. By evaluating the results, it can be seen that strong and appropriate performance, in a wide range of system parameter changes and load changes, can be obtained with the proposed SFLA optimization method in system nonlinearity. Examining the proposed enhanced method in the field of frequency monitoring and control will show a significant improvement compared to the previous algorithms used. © 2024 IEEE.

关键词： Three term control systems

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A Predictive control based Scheme for Maximum Power Extraction of PMSG based Wind Turbine systems 32

A Predictive Control based Scheme for Maximum Power Extracti...

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32nd IEEE International Symposium on Industrial Electronics, ISIE 2023

作者： Shiravani, Fahimeh Cortajarena, Jose Antonio Alkorta, Patxi Perez, Mikel Gonzalez Barambones, Oscar Basque Country University School of Engineering of Gipuzkoa - EIG/Eibar Department of Automatic Control and Systems Engineering Spain Basque Country University School of Engineering of Gipuzko- EIG/Eibar Department of Electronic Technology Spain Basque Country University School of Engineering of Gipuzkoa-EIG/Eibar Department of Automatic Control and Systems Engineering Spain Basque Country University School of Engineering of Vitoria Department of Automatic Control and Systems Engineering Spain

ISBN: (纸本)9798350399714

In this proposal, a predictive control scheme is considered for PMSG based wind turbine system in order to maximize power extraction. The main goal is to maintain the turbine tip-speed ratio (and consequently the power coefficient) at its optimal point and regulate the PMSG rotor speed in reaction to the variation of wind speed. The control of generator speed is done by employing a generalized predictive controller. This regulator by taking advantage of the predictive feature can prepare the generator to react to the upcoming wind in advance and consequently increases the efficiency of the turbine. Also, it has been demonstrated that this controller enhances the transient response of the system compared to the conventional methods. The proposed controller has been validated through Matlab/Simulink and an experimental test bench. © 2023 IEEE.

关键词： controllers

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Comparison of Long-term Energy Demand Forecasting in Developing and Developed Countries Using Machine Learning-based Algorithms 9

Comparison of Long-term Energy Demand Forecasting in Develop...

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9th International Conference on Technology and Energy Management, ICTEM 2024

作者： Kiani, Hossein Golshaeian, Sajad Nazari, Mohammad Hassan Gharehpetian, G.B. Hosseinian, Seyed Hossein Sarbazi, Jafar Amirkabir University of Technology Department of Electrical Engineering Tehran Iran Smart Control Systems Department Tehran Iran

ISBN: (纸本)9798350329797

As the world's population grows, many nations grapple with the task of supplying sufficient energy. One effective way to manage and plan for this demand is through energy demand forecasting. In this research, we adopt a method employing machine learning algorithms to predict energy demand in various countries, both developed and developing, up to the year 2050. For our long-term forecast covering 2020 to 2050, two types of historical data are utilized: (i) energy consumption (EEC), and (ii) socio-economic indicators, such as Gross domestic product (GDP), energy import and export, and population. An Artificial Neural Network (ANN) based machine learning is employed utilizing 30 years' worth of socio-economic data (1991-2020). In this manner, the utilization of the ANN facilitates the prediction of long-term energy consumption (EEC) for the planning period spanning from 2020 to 2050. Furthermore, we present an optimization model designed to enhance the precision of our predictions. The outcomes from machine learning algorithms serve as input for our comprehensive model, implemented through ANN across various sections. Ultimately, our forecasts indicate a projected increase in electric energy consumption by 130.1% for Iran, 37.4% for Portugal, and 58.6% for the United States in 2050 compared to 2020. Significant distinctions exist between developing and developed economies with regard to the anticipated trends in Energy Efficiency Compliance (EEC). © 2024 IEEE.

关键词： Adversarial machine learning

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