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UPB Scientific Bulletin, Series C: Electrical engineering and Computer Science 2025年第1期2025卷 289-300页

作者： Li, Zhouji Zulkepli, Intan Irieyana Bint Faculty of Engineering & Built Environment Lincoln University College Malaysia

The control methods of permanent magnet synchronous motors (PMSM) rely on rotor position information. However, the rotor position information obtained by the flux observer consists of estimation errors caused by non-ideal factors such as loop filters and motor parameter deviations. In this paper, we first analyze the causes of the phase estimation errors, then use the phase-locked loop (PLL) to reconstruct and compensate for the rotor position error to improve the observer's observation accuracy. The position error compensation strategy is robust to phase delay and independent of motor parameters. Simulation results verify that the method can effectively reduce the observation error and improve the accuracy estimation of rotor position and speed to achieve a better sensorless control effect of a PMSM. © 2025, Politechnica University of Bucharest. All rights reserved.

关键词： Permanent magnets

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More equitable initial allocation, more abatement cost saving in using a trading ratio system for riverine water quality management

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environmental Science and Pollution Research 2025年第17期32卷 11199-11213页

作者： Mohammad Zahery, Maryam Andik, Behnam Niksokhan, Mohammad Hossein Department of Environmental Engineering Faculty of Environment University of Tehran Tehran Iran

Water quality management is essential for sustaining aquatic ecosystems and public health. Different approaches, such as trading ratio systems (TRS), offer economic incentives for reducing pollutant discharges and promote cost-effective compliance with water quality standards. This study evaluates the impact of equitable initial permit allocation on the willingness of dischargers to engage in trading and examines its effect on abatement cost savings within a TRS framework for riverine water quality management. The methodology combines a multi-objective optimization model with the Streeter-Phelps simulation to assess permit allocation and trading scenarios in the Sefidrood River. The model was calibrated and validated using 58 years of historical data, generating Pareto front curves for objective functions across three periods with progressively stricter water quality standards. According to the optimization results, equitable permit allocation significantly influenced trading behavior and cost efficiency. Equitable initial permit allocation led to significant reductions in total abatement costs: 58% in the first period, 62% in the second period, and 45% in the third period. These cost savings were achieved through increased trading participation, as evidenced by higher trading ratios and greater traded permit volumes across scenarios. Across the three evaluated periods, each consisting of seven trading scenarios, equitable permit allocation led to significant reductions in total abatement costs, with reduction of 58%, 62%, and 45% in the first, second, and third periods, respectively, while maintaining compliance with BOD standards. These findings highlight those scenarios with higher equity indices facilitated greater participation in trading, leading to increased cost savings and promoting collaborative pollution control among dischargers. The proposed TRS model effectively balances economic efficiency and fairness, offering a viable solution for sustainable water

关键词： Cost effectiveness

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Fabrication of graphene oxide decorated with poly(dimethyl amino ethyl methacrylate) brush for efficient Cr(Ⅵ) adsorption from aqueous solution

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Chinese Journal of Chemical engineering 2024年第9期73卷 51-61页

作者： Alireza Nouri Siew Fen Chua Ebrahim Mahmoudi Abdul Wahab Mohammad Wei Lun Ang Department of Chemical and Process Engineering Faculty of Engineering and Built EnvironmentUniversiti Kebangsaan MalaysiaBangi 43600Malaysia Centre for Sustainable Process Technology(CESPRO) Faculty of Engineering and Built EnvironmentUniversiti Kebangsaan MalaysiaBangi 43600Malaysia Chemical and Water Desalination Engineering Program College of EngineeringUniversity of SharjahSharjah 27272United Arab Emirates

Confronting the severe health threats and environmental impacts of Cr(Ⅵ) in aquatic environments demands innovative and effective remediation approaches. In this study, Graphene oxide(GO)-decorated poly(dimethyl amino ethyl methacrylate)(PDMAEMA) brush nanocomposites(GOP1, GOP2, GOP3, and GOP4) were fabricated using atom transfer radical polymerization(ATRP) by the “graft from” *** resulting nanocomposites were utilized for removing Cr(Ⅵ) with good adsorption performance due to the electrostatic interaction of protonated nitrogen groups in the brush chains with negatively charged particles in the solution. The kinetic model of pseudo-second-order best represented the contaminants' adsorption characteristics. The Weber-Morris model further indicated that surface adsorption and intraparticle diffusion mechanisms primarily controlled the adsorption procedure. Additionally, the Langmuir and Temkin isotherm models were found to most accurately represent the adsorption characteristics of the pollutants on the nanocomposites, and GOP4 can achieve the maximum adsorption capacity of 164.4 mg·g^(-1). The adsorbents' capacity maintains above 85% after five cycles of adsorption-desorption. The nanocomposites in this study demonstrate promising potential for eliminating Cr(Ⅵ) from aqueous solutions.

关键词： Graphene oxide PDMAEMA brush Polymerization Nanoparticles Adsorption Chromium

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PFOA-contaminated soil remediation: a comprehensive review

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environmental Science and Pollution Research 2024年第38期31卷 49985-50011页

作者： Soltanian, Mehdi Gitipour, Saeid Baghdadi, Majid Rtimi, Sami Faculty of Environment College of Engineering University of Tehran Tehran Iran Global Institute for Water Environment and Health Geneva1201 Switzerland School of Civil and Environmental Engineering Faculty of engineering and IT University of Technology Sydney Sydney Australia

Soil and groundwater contamination has been raised as a concern due to the capability of posing a risk to human health and ecology, especially in facing highly toxic and emerging pollutants. Because of the prevalent usage of perfluorooctanoic acid (PFOA), in industrial and production processes, and subsequently the extent of sites contaminated with these pollutants, cleaning up PFOA polluted sites is paramount. This research provides a review of remediation approaches that have been used, and nine remediation techniques were reviewed under physical, chemical, and biological approaches categorization. As the pollutant specifications, environmental implications, and adverse ecological effects of remediation procedures should be considered in the analysis and evaluation of remediation approaches, unlike previous research that considered a couple of PFAS pollutants and generally dealt with technical issues, in this study, the benefits, drawbacks, and possible environmental and ecological adverse effects of PFOA-contaminated site remediation also were discussed. In the end, in addition to providing sufficient and applicable understanding by comprehensively considering all aspects and field-scale challenges and obstacles, knowledge gaps have been found and discussed. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Groundwater

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Adaptive Optimizable Gaussian Process Regression Linear Least Squares Regression Filtering Method for SEM Images

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IEEE Access 2025年 13卷 93574-93592页

作者： Ong, Dominic Chee Yong Bukhori, Iksan Sim, Kok Swee Gan, Kok Beng Multimedia University Faculty of Engineering and Technology Melaka75450 Malaysia President University Faculty of Engineering Department of Electrical Engineering 17550 Indonesia Universiti Kebangsaan Malaysia Department of Electrical Electronic & Systems Engineering Faculty of Engineering and Built Environment Malaysia

Scanning Electron Microscopy (SEM) images often suffer from noise contamination, which degrades image quality and affects further analysis. This research presents a complete approach to estimate their Signal-to-Noise Ratio (SNR) and noise variance (NV), and enhance image quality using NV-guided Wiener filter. The main idea of this study is to use a good SNR estimation technique and infuse a machine learning model to estimate NV of the SEM image, which then guides the wiener filter to remove the noise, providing a more robust and accurate SEM image filtering pipeline. First, we investigate five different SNR estimation techniques, namely Nearest Neighbourhood (NN) method, First-Order Linear Interpolation (FOL) method, Nearest Neighbourhood with First-Order Linear Interpolation (NN+FOL) method, Non-Linear Least Squares Regression (NLLSR) method, and Linear Least Squares Regression (LSR) method. It is shown that LSR method to perform better than the rest. Then, Support Vector Machines (SVM) and Gaussian Process Regression (GPR) are tested by pairing it with LSR. In this test, the Optimizable GPR model shows the highest accuracy and it stands as the most effective solution for NV estimation. Combining these results lead to the proposed Adaptive Optimizable Gaussian Process Regression Linear Least Squares Regression (AO-GPRLLSR) Filtering pipeline. The AO-GPRLLSR method generated an estimated noise variance which served as input to NV-guided Wiener filter for improving the quality of SEM images. The proposed method is shown to achieve notable success in estimating SNR and NV of SEM images and leads to lower Mean Squared Error (MSE) after the filtering process. © 2013 IEEE.

关键词： Support vector machines

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Exergy Analysis of Charge and Discharge Processes of Thermal Energy Storage System with Various Phase Change Materials:A Comprehensive Comparison

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Journal of Thermal Science 2024年第2期33卷 509-521页

作者： Mojtaba TAHERI Fathollah POURFAYAZ Roghayeh HABIBI Akbar MALEKI Department of Renewable Energies and Environment Faculty of New Sciences and TechnologiesUniversity of TehranTehran***Iran Faculty of Mechanical Engineering Shahrood University of TechnologyShahrood***Iran

Thermal energy storage(TES) is of great importance in solving the mismatch between energy production and *** this regard,choosing type of Phase Change Materials(PCMs) which are widely used to control heat in latent thermal energy storage systems,plays a vital role as a means of TES ***,this field suffers from lack of a comprehensive investigation on the impact of various PCMs in terms of *** address this issue,in this study,in addition to indicating the melting temperature and latent heat of various PCMs,the exergy destruction and exergy efficiency of each material are estimated and compared with each ***,in the present work the impact of PCMs mass and ambient temperature on the exergy efficiency is *** results proved that higher latent heat does not necessarily lead to higher exergy ***,to obtain a suitable exergy efficiency,the specific heat capacity and melting temperature of the PCMs must also be *** to the results,LiF-CaF_(2)(80.5%:19.5%,mass ratio) mixture led to better performance with satisfactory exergy efficiency(98.84%) and notably lower required mass compared to other ***,the highest and lowest exergy destruction are belonged to GR25 and LiF-CaF_(2)(80.5:19.5) mixture,respectively.

关键词： exergy analysis phase change materials thermal energy storage exergy efficiency

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Integrating spherical fuzzy Delphi and TOPSIS technique to identify indicators for sustainable maintenance management in the oil and gas industry

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Journal of King Saud University - engineering Sciences 2024年第4期36卷 288-302页

作者： Olugu, Ezutah Udoncy Mammedov, Yslam Durdymuhammedovich Young, Jonathan Chung Ee Yeap, Pin Swee Faculty of Engineering Technology & Built Environment UCSI University Kuala Lumpur56000 Malaysia

This study offers an investigation into the degree of importance of indicators affecting the sustainable maintenance management of the oil and gas industry. Four dimensions and 12 strategic indicators for sustainable performance are identified, based on literature review and expert opinion on sustainable offshore production. The survey was conducted as a pioneer attempt to evaluate the significance of each indicator, particularly for the Malaysian and Turkmenistan oil and gas industry. In this study, the spherical fuzzy sets modified-Delphi Method was implemented to address the uncertainty and subjectivity in expert judgment. Then, the spherical fuzzy technique in order of preference by similarity to ideal solution integrated approach was proposed to prioritize strategic indicators for assistance in administrating sustainable practices within two developing countries. The study culminated with a set of conceptual indicators intended to promote the implementation of performance benchmarking of sustainable operations in the oil and gas industry offshore. © 2023 King Saud University

关键词： Fuzzy sets

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Hydrogen-rich syngas production from sewage sludge and hydrochars via catalytic gasification with SrO

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International Journal of Hydrogen Energy 2025年 144卷 1358-1366页

作者： Sieradzka, Malgorzata Szkadlubowicz, Klaudia Śliz, Maciej Kalemba-Rec, Izabela Kornaus, Kamil Kozinski, Janusz Wilk, Malgorzata AGH University of Krakow Faculty of Metals Engineering and Industrial Computer Science Department of Heat Engineering and Environment Protection Krakow Poland Faculty of Engineering Lakehead University Thunder BayON Canada

This study investigates the production of high-quality syngas from sewage sludge and its hydrochars through gasification and catalytic gasification processes. The following types of sludge were analyzed: digested (MS1) and non-digested (MS2) municipal sludge from Silesian wastewater treatment plants (WWTPs) and two industrial sludge hydrochars (HC_IS1, HC_IS2). Hydrochars (HC_MS1, HC_MS2, HC_IS1, HC_IS2) were derived via hydrothermal carbonization at 200 °C and 2 h. Gasification and catalytic gasification processes with SrO were conducted under a CO2 atmosphere at 850 °C. Gas chromatography was employed to identify syngas components, including H2, CH4, CO2, and CO. The results demonstrated that the presence of a catalyst significantly increased hydrogen (H2) yield, particularly during the heating stage. For instance, hydrogen increased from 4 % to 21.7 % for HC_MS1, although with HC_MS2 no hydrogen was found until the addition of a catalyst, SrO, which increased hydrogen to 7.6 %. The findings confirm the potential of gasification for syngas production from sewage sludge and hydrochars. © 2025 The Authors

关键词： Sewage sludge

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Nonlinear Model Predictive Controller for Compensations of Single Line-to-ground Fault in Resonant Grounded Power Distribution Networks

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Journal of Modern Power Systems and Clean Energy 2024年第4期12卷 1113-1125页

作者： Warnakulasuriya Sonal Prashenajith Fernando Mostafa Barzegar-Kalashani Md Apel Mahmud Shama Naz Islam Nasser Hossenzadeh Faculty of Engineering and Environment Northumbria UniversityNewcastleUK School of Software and Electrical Engineering Swinburne University of TechnologyHawthornAustralia School of Engineering Deakin UniversityWaurn PondsAustralia

An nonlinear model predictive controller(NMPC)is proposed in this paper for compensations of single line-to-ground(SLG)faults in resonant grounded power distribution networks(RGPDNs),which reduces the likelihood of power line bushfire due to electric *** current compensation(RCC)inverters with arc suppression coils(ASCs)in RGPDNs are controlled using the proposed NMPC to provide appropriate compensations during SLG *** proposed NMPC is incorporated with the estimation of ASC inductance,where the estimation is carried out based on voltage and current measurements from the neutral point of the power distribution *** compensation scheme is developed in the discrete time using the equivalent circuit of *** proposed NMPC for RCC inverters ensures that the desired current is injected into the neutral point during SLG faults,which is verified through both simulations and control hardware-in-the-loop(CHIL)*** results are also presented against an integral sliding mode controller(ISMC)by demon-strating the capability of power line bushfire mitigation.

关键词： Fault current phase voltage nonlinear model predictive controller(NMPC) parameter adaptation parametric uncertainty power line bushfire

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Prominent removal of trace lead(Ⅱ)ions from polluted water by terephthalic acid reformed Al/Zn metal organic nanoflakes

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Particuology 2024年第1期84卷 81-88页

作者： Junhua Li Lingshu Gao Junmao Hong Xiaofeng Shi Sifang Kong Jingyu Wang Hassan Algadi Benbin Xu Zhanhu Guo School of Chemistry and Chemical Engineering North University of ChinaTaiyuan030051China School of Traffic&Environment Shenzhen Institute of Information TechnologyShenzhen518172China Department of Electrical Engineering Faculty of EngineeringNajran UniversityNajran11001Saudi Arabia Mechanical and Construction Engineering Faculty of Engineering and EnvironmentNorthumbria UniversityNewcastle Upon TyneNE18STUK

Terephthalic acid reformed Al/Zn metal organic nanoflake was prepared and functionalized with trie-thylamine(T-AlZn).Without adding terephthalic acid,there was no product of metal organic nanoflake.T-AlZn has a remarkable performance in removing trace lead(Ⅱ)ions(Pb^(2+)).The adsorption equipoise with the removal rate≥97%was reached within 35 *** removal rates of T-AlZn for Pb^(2+)declined by only 16.73%after four *** adsorption of T-AlZn for Pb^(2+)follows the Langmuir isotherms model and pseudo-second-order dynamics *** utmost adsorption competence was calculated as 215.27 mg g^(-1).The T-AlZn adsorbent exhibits a bright prospect in the adsorption for Pb^(2+)and is a considerable candidate in the disposal of industrial sewage.

关键词： Metal organic complex Nanoflake Trace level Pb^(2+) Adsorption

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