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Dynamic process Monitoring Based on Dot Product Feature Analysis for Thermal Power Plants

IEEE/CAA Journal of Automatica Sinica 2025年第3期12卷 563-574页

作者： Xin Ma Tao Chen Youqing Wang the College of Information Science and Technology Beijing University of Chemical Technology the Department of Chemical and Process Engineering University of Surrey IEEE

Data-driven process monitoring is an effective approach to assure safe operation of modern manufacturing and energy systems, such as thermal power plants being studied in this work. Industrial processes are inherently dynamic and need to be monitored using dynamic algorithms. Mainstream dynamic algorithms rely on concatenating current measurement with past data. This work proposes a new, alternative dynamic process monitoring algorithm, using dot product feature analysis(DPFA).DPFA computes the dot product of consecutive samples, thus naturally capturing the process dynamics through temporal correlation. At the same time, DPFA's online computational complexity is lower than not just existing dynamic algorithms, but also classical static algorithms(e.g., principal component analysis and slow feature analysis). The detectability of the new algorithm is analyzed for three types of faults typically seen in process systems:sensor bias, process fault and gain change fault. Through experiments with a numerical example and real data from a thermal power plant, the DPFA algorithm is shown to be superior to the state-of-the-art methods, in terms of better monitoring performance(fault detection rate and false alarm rate) and lower computational complexity.

关键词： Computational complexity dot product feature analysis (DPFA) dynamic process multivariate statistics process monitoring

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Cellulose nanocrystals engineered TPS/PBAT granulation through extrusion process and application for compostable carry bags

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Journal of Industrial and engineering Chemistry 2024年 136卷 623-634页

作者： Kumar Kesari, Aman Mulla, Abdul Mannan Razak, Syed Mohammed Munagala, Chandan Kumar Aniya, Vineet Process & Polymer Engineering Lab Chemical Engineering & Process Technology Department CSIR-Indian Institute of Chemical Technology Telangana Hyderabad500007 India Ghaziabad2001002 India

An economical and scalable process route has been developed for preparation of bio nanofillers, cellulose nanocrystals (CNCs) using acid hydrolysis and ceramic membrane-based continuous neutralization process alternative to conventional dialysis process. Optimized process achieved 42 % yield with crystallinity index of 91.3 % and average size 20–50 nm as confirmed by TEM analysis. Solid-state NMR result shows that the CNCs lateral dimension is comparable to elementary cellulose crystallites. Prior optimized composition of CNCs (Kesari et al., 2022) in TPS was used to prepare bio-nanocomposite with aim to reduced Poly (butylene adipate co-terephthalate) (PBAT) content in packaging films. A strong evolution in the mechanical and rheological properties of the CNCs reinforced blends was observed with increase in PBAT content with optimum blending ratio of 70/30. The composite attained tensile strength and young's modulus of 11.01 ± 0.15 and 1200.94 ± 16 MPa, respectively with water vapor transmission rate (WVTR) of 63.96 ± 1.02 g/m2/day than neat PBAT (124.56 ± 6.89) which has higher vapor permeation. The thermal analysis confirms with bio nanofillers addition reduced the processing temperature of the polymeric blend. Thus, this work provides an economical and sustainable pathway for high content of biobased carbon (>70 %) for biodegradable packing industry. © 2024 The Korean Society of Industrial and engineering Chemistry

关键词： Nanocrystals

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CO2 capture enhancement by metal oxides impregnated coal fly ash: a breakthrough adsorption study

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Environmental Science and Pollution Research 2024年第52期31卷 61592-61611页

作者： Irshad, Umar Aslam, Zaheer Sumbal, Sara Hamza, Ali Zaka-ur-Rehman Department of Chemical Engineering Sharif College of Engineering and Technology Lahore Pakistan Department of Chemical Engineering University of Engineering and Technology Lahore54890 Pakistan Department of Process Engineering and Chemical Technology Politechnika Gdańska Gdańsk Poland

Coal fired power plants are significant contributors to CO2 emissions and produce solid waste in the form of coal fly ash, posing severe environmental challenges. This study explores the application of dry-impregnated coal fly ash for CO2 capture from gas stream. The modification of coal fly ash was achieved using alkaline earth metal oxides, specifically CaO and MgO, to alter its physical and chemical properties. Characterization techniques like X-ray fluorescence (XRF), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and BET (Brunauer–Emmett–Teller) analysis were employed for physio-chemical changes in the adsorbent. Breakthrough experiments were conducted using a laboratory-scale fixed packed-bed reactor to assess the influence of temperature and gas flow rate on CO2 adsorption. Among the synthesized sorbents, calcium oxide-impregnated ash showed the highest CO2 uptake capacity, achieving 9.41 mg/g at 30 °C and a flow rate of 20 L/hr under atmospheric pressure. Isotherm modeling indicated a heterogeneous adsorbent surface, with the data best fitting the Sips isotherm model. Furthermore, the adsorption data conformed well to the Yoon-Nelson and Thomas kinetic models, affirming their relevance in characterizing the adsorption process under varying conditions. This research emphasizes the potential of coal fly ash—an abundant, cost-free material—as an effective CO2 adsorbent, contributing to both CO2 mitigation and landfill waste reduction. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Fourier transform infrared spectroscopy

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Recent Advances in Catalytic Carbonylation Reactions in Alternative Reaction Media

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Chinese Journal of Chemistry 2024年第4期42卷 406-429页

作者： Csaba Árvai László T.Mika Department of Chemical and Environmental Process Engineering Faculty of Chemical Technology and BiotechnologyBudapest University of Technology and EconomicsMűegyetem rkp.3H-1111 BudapestHungary

Since the discovery of the hydroformylation(oxo-synthesis or Roelen reaction)and the Reppe-reaction,the transition metal-catalyzed carbonylation reactions,providing versatile,facile,and even atom-economic methods for the selective incorporation of C=O functionality to various skeletons,have gained tremendous importance in synthetic organic chemistry from laboratories to industrial *** carbonylation of carbon-carbon multiple bonds,aromatic halides,triflates,etc.,in the presence of various nucleophiles has led the way to produce aldehydes,carboxylic acids,esters,amides,etc.,in the fine chemical ***,these protocols usually proceed in conventional,fossil-based,and usually toxic reaction ***,several attempts have been directed to developing efficient carbonylation methods in alternative,less harmful,non-fossil-based and even in renewable reaction *** this review,we overview the recent applications of alternative solvents such as water,biomass-based alcohols,γ-valerolactone(GVL),2-methyltetrahydrofuran(2-MeTHF),ionic liquids(ILs),deep eutectic solvents(DES),alkyl levulinates,limonene,α-pinene,and dimethyl carbonate as well as fluorous media to improve efficiency,safety and environmentally benign nature of carbonylation protocols.

关键词： Carbonylation Catalysis Solvents Green chemistry Carbon monoxide Transition metals Homogeneous catalysis Palladium

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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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ML based catalyst modelling for photo-catalytic reduction of CO2 to methanol

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Materials Today: Proceedings 2023年 72卷 494-499页

作者： Voleti, Lakshmi Devi Kamesh, Reddi Rani, K Yamuna Process Engineering and Technology Transfer Department CSIR – Indian Institute of Chemical Technology Hyderabad 500007 India

Industrial revolution & globalization lead to the rampant increase in the anthropogenic CO2 emissions which has become the global concern. Photo-reduction of CO2 to other value-added products such as methanol can be observed as a technology that has drawn immense attention of numerous researchers these days. This work majorly focuses on developing the best machine learning (ML) model that can predict the formation rate of methanol from CO2. Present study considers the development of several ML models such as Linear Models;Tree based models and Neural Network Models wherein the extensive data mining (505 data points, from last decade) lays a great foundation. In this process of mining the data, 21 different experimental parameters have demonstrated huge influence on the methanol formation rate from CO2. On comparing their performances, it was observed that Neural Network models (R2 ∼ 0.70) were the most promising models that have exhibited the best performance amongst other ML models. Apart from obtaining the best model this work also throws light on the quantifying influence of experimental parameters (known as input contribution) which aids in arriving at the crucial parameters that can be tuned to accelerate the performance of the model. It was also observed that the catalyst composition, reaction temperature, source of light and its wavelength have created a huge impact on the formation of methanol. © 2022

关键词： Carbon dioxide

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A comparative study on effectiveness and recyclability of three different deep eutectic solvents for biomass fractionation

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Biomass Conversion and Biorefinery 2025年第9期15卷 13393-13407页

作者： Panakkal, Elizabeth Jayex Cheenkachorn, Kraipat Chuetor, Santi Dasari, Srideep Katam, Keerthi Phusantisampan, Theerawut Cheng, Yu-Shen Sriariyanun, Malinee Department of Chemical and Process Engineering Biorefinery and Process Automation Engineering Center The Sirindhorn International Thai-German Graduate School of Engineering King Mongkut’s University of Technology North Bangkok Bangkok Thailand Department of Chemical Engineering Faculty of Engineering Biorefinery and Process Automation Engineering Center King Mongkut’s University of Technology North Bangkok Bangkok Thailand Department of Chemistry École Centrale School of Engineering Mahindra University Telangana India Department of Civil Engineering École Centrale School of Engineering Mahindra University Telangana India Department of Biotechnology Faculty of Applied Science Biorefinery and Process Automation Engineering Center King Mongkut’s University of Technology North Bangkok Bangkok Thailand Department of Chemical and Materials Engineering National Yunlin University of Science and Technology 123 University Road Section 3 Yunlin Douliu64002 Taiwan

The overuse of non-renewable resources to meet rising energy demands has significantly impacted the environment, necessitating the shift to renewable energy sources. Lignocellulosic biorefineries present a sustainable alternative, producing valuable products. With limited reports on the optimal deep eutectic solvent (DES) pretreatment of Napier grass, this study focuses on optimizing and assessing the recyclability of three different DES pretreatments to enhance sugar and ethanol yields from biomass. Three DES were synthesized by combining choline chloride with lactic acid, glycerol, and urea. The physical properties of these DES were analyzed, followed by the optimization of pretreatment conditions using response surface methodology and one-factor-at-a-time approaches. The optimization considered solid loading (1:20 to 1:5, w/w), temperature (80 °C to 130 °C), and time (0.5 h to 5 h) to maximize sugar concentration. The optimal pretreatments improved cellulose content in the pretreated biomass, enhancing sugar yield in the order: alkaline DES > acidic DES > neutral DES. Ethanol fermentation of pretreated biomass using Saccharomyces cerevisiae showed higher ethanol yields from choline chloride: urea (15.87 g/L), followed by choline chloride: glycerol (14.03 g/L), and choline chloride: lactic acid (13.18 g/L). This study highlights the effectiveness of acidic, alkaline, and polyol-based DES in pretreating biomass, enhancing sugar yield up to 1.6-fold compared to native biomass. Recyclability studies showed decreased efficiency and reduced sugar yield over successive cycles, indicating the need for a purification step. Overall, this research demonstrates the potential of three different DES pretreatments in significantly improving sugar and ethanol yields from Napier grass and underscores the economic viability of DES recycling for industrial applications. These findings could inspire future research in developing advanced techniques for purifying used DES before recy

关键词： Fermentation

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Ni-Co doped TiO2 catalyst for efficient photocatalytic degradation of Malachite Green under UV and direct sunlight

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Environmental Science and Pollution Research 2025年 1-16页

作者： Mhalshekar, Krushika Pawar, Vivek Gaydhane, Mrunalini Sontakke, Sharad Materials and Process Development Laboratory Department of Chemical Engineering Birla Institute of Technology and Science K. K. Birla Goa Campus Goa Pilani403726 India Department of Chemical Engineering Thapar Institute of Engineering and Technology Punjab Patiala147004 India

In the present study, combustion-synthesized TiO2 nanoparticles were wet impregnated with Ni, Co, and Ni-Co, respectively. The photocatalytic performance of synthesized catalysts was evaluated against Malachite Green dye. The synthesized materials were characterized for crystallite size, surface morphology, elemental composition, and band gap using X-ray diffraction, scanning electron microscopy, energy dispersive spectroscopy, and ultra-violet diffused reflectance spectroscopy, respectively. The optimum parameters for maximum degradation were found by examining the effects of catalyst loading, initial dye concentration, and light intensity. A comparative analysis of Ni-doped, Co-doped, and Ni-Co-doped TiO2 photocatalysts was conducted. The results indicate superior photocatalytic activity of Ni-Co doped TiO2 among the catalysts investigated under UV light. The degradation kinetics was studied, and the underlying degradation mechanism was proposed with the help of LC–MS analysis. Furthermore, a comparative study on the degradation under solar radiation using Ni-Co/TiO2 was conducted. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Energy dispersive spectroscopy

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Bifunctional additive phenyl vinyl sulfone for boosting cyclability of lithium metal batteries

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Green chemical engineering 2023年第1期4卷 49-56页

作者： Xiaoyan Zhang Juyan Zhang Mengmin Jia Linshan Peng Nana Zhang Suitao Qi Lan Zhang Shaanxi Key Laboratory of Energy Chemical Process Intensification School of Chemical Engineering and TechnologyXi'an Jiaotong UniversityXi'an710049China CAS Key Laboratory of Green Process and Engineering Beijing Key Laboratory of Ionic Liquids Clean ProcessInstitute of Process EngineeringChinese Academy of SciencesBeijing100190China Faculty of Engineering and Physical Sciences Department of Chemical and Process EngineeringUniversity of SurreyGuildfordGU27XHUK

One of the bottlenecks limiting the cycling stability of high voltage lithium metal batteries(LMBs)is the lack of suitable ***,phenyl vinyl sulfone(PVS)is proposed as a multifunctional additive to stabilize both cathode and anode interfaces as it can be preferentially oxidized/reduced on the electrode *** PVS derived solid electrolyte interphase films can not only reduce the transition metal dissolution on the cathode side,but also suppress the Li dendrite spread on the lithium anode *** Li||Li symmetric battery with PVS addition delivers longer cycle life and a higher critical current density of over 3.0 m Ah cm^(-2).The LiNi_(0.8)Co_(0.1)Mn0.1O_(2)(NCM811)||Li full cell exhibits excellent capacity retention of 80.8%or 80.0%after 400 cycles at 0.5 C or 1 C rate with the voltage range of 3.0–4.3 *** particular,the NCM811||Li cell under constrained conditions remains operation over 150 *** work offers new insights into the electrolyte formulations for the next generation of LMBs.

关键词： Lithium metal battery Ni-rich cathode Phenyl vinyl sulfone Dendrite

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Understanding Temperature Profiles of Distillation Columns (vol 63, pg 4533, 2024)

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INDUSTRIAL & engineering CHEMISTRY RESEARCH 2024年第23期63卷 10499-10500页

作者： Raenger, Lena-Marie Halvorsen, Ivar J. Gruetzner, Thomas Skogestad, Sigurd Department of Chemical Engineering Norwegian University of Science and Technology Sem Sælands vei 6 Trondheim 7034 Norway Laboratory of Thermal Process Engineering Institute of Chemical Engineering Ulm University Albert-Einstein-Allee 47 Ulm 89081 Germany

Temperature profiles of distillation columns can be measured comparatively easily and can, at the same time, provide detailed information about their operating point. Thus, it is often stated that these profiles are suitable tools to troubleshoot distillation columns. However, the literature also lacks a comprehensive explanation of how temperature profiles should look and what can be read from them. This article systematically investigates temperature profiles of distillation columns with one feed containing two or more components and two product streams. Based on the results, seven simple rules are derived that in the end are used to interpret example profiles in a column with a four-component feed. The rules are found to be suitable tools to understand and interpret temperature profiles properly.

关键词： Animal feed Distillation Energy Mixtures Transition temperature

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