检索结果-内蒙古大学图书馆

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

来源：评论

学校读者我要写书评

暂无评论

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

Recent Advances in Catalytic Carbonylation Reactions in Alternative Reaction Media

引用

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

来源：评论

学校读者我要写书评

暂无评论

Comparative energetic,economic and exergoeconomic assessments of direct heat exchange and heat pumps for waste heat recovery considering regional impacts

引用

Chinese Journal of chemical engineering 2025年第4期80卷 220-230页

作者： Zhimin Tan Xiao Feng Minbo Yang Truls Gundersen School of Chemical Engineering and Technology Xi'an Jiaotong UniversityXi'an 710049China Department of Energy and Process Engineering Norwegian University of Science and TechnologyKolbjoern Hejes vei 1.ANO-7491TrondheimNorway

Recovering waste heat is essential for primary energy savings and carbon emission *** provide direct and reliable suggestions for factories to recover waste heat,energetic,economic and exergoeconomic comparison between direct heat exchange(DHE)and open-cycle mechanical heat pump(MHP)under various operating conditions is carried out in this *** price ratios R_(ES)(electricity to steam)and R_(HS)(hot water to steam)are introduced to quantify regional impacts and conduct quantitative analysis.A semi-empirical formula is obtained to explore the exergoeconomic performance of the two *** waste heat within 373.15-423.15 K,the exergy efficiency of the DHE with a temperature difference of 10-90 K is always lower than that of the MHP with a temperature lift of 10-50 *** economic performance of the two systems has a break-even point,depending on the operating parameters and relative prices of electricity,steam,and hot *** the average R_(ES)(3.8)in China,if R_(HS)is higher than 0.748,the annual revenue of the DHE is always higher,whereas the MHP is more economical when R_(HS)is lower than *** regions where R_(ES)is higher than 4.353,the annual revenue of the MHP will be negative in some cases.

关键词： Mechanical heat pump Direct heat exchange Exergy efficiency Annual revenue Exergy price

来源：评论

学校读者我要写书评

暂无评论

Physicochemical dual cross-linking polymer stabilizing the Si-C-Cu interfaces for long-life silicon anode

引用

Journal of Energy Chemistry 2025年第6期105卷 732-741页

作者： Wenhui Fu Yuxuan Tian Chao Sui Xiaorui Wang Zhi Wang Qiushi Chen Junhao Liu Xuzhong Gong School of Chemistry and Chemical Engineering Mudanjiang Normal University National Engineering Research Center of Green Recycling of Strategic Metal Resources Institute of Process Engineering Chinese Academy of Sciences Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology Department of Chemical Engineering Tsinghua University School of Chemical Engineering University of Chinese Academy of Sciences

Polymer binders possess significant potential in alleviating the volume expansion issues of silicon-based anodes,yet remain challenging due to insufficient interfacial interactions with individual components（Si,C,and Cu） of the ***,we report the synthesis of a stable three-dimensional network structure of the PAA-PEA（polyacrylic acid-polyether amines） polymer binder through intermolecular physicochemical dual *** incorporating polar functional groups,the binder molecules not only form strong C-O-Si,N-Si,O=C-O-C,and O=C-O-Cu covalent bonds but also enhance non-covalent interactions with Si,C,and Cu,thereby improving adhesion between the binder and each interface of the ***,weak hydrogen bonds,acting as "sacrificial bonds",dissipate energy and disperse accumulated stress,improving the material *** to the high mechanical stability of the framework,which combines both rigidity and flexibility and the coupling effect at the three interfaces,the movement and separation of electrode components are effectively restrained,significantly enhancing the cycling stability of silicon-graphite *** PAA-PEA 2000 electrode exhibits a capacity retention of 78% after 500 cycles at a current density of 0.2 A *** work provides insights into the mechanism of binders and guides the design of polymer binders for high-performance Si-based electrodes.

关键词： Binder Dual cross-linking Interface Lithium-ion batteries Silicon-graphite anode

来源：评论

学校读者我要写书评

暂无评论

Intelligent gold nanocluster for effective treatment of malignant tumor via tumor-specific photothermal–chemodynamic therapy with AIE guidance

引用

National Science Review 2024年第5期11卷 326-342页

作者： Feng Liu Tianfeng Yang Xiaowei Chang Li Chen Cheng Cheng Xiuhong Peng Haihu Liu Yanmin Zhang Xin Chen School of Energy and Power Engineering Xi'an Jiaotong University Department of Chemical Engineering Shaanxi Key Laboratory of Energy Chemical Process IntensificationInstitute of Polymer Science in Chemical Engineering School of Chemical Engineering and Technology Xi'an Jiaotong University School of Pharmacy Health Science Center Xi'an Jiaotong University

Precise and efficient therapy of malignant tumors is always a challenge. Herein, gold nanoclusters co-modified by aggregation-induced-emission（AIE） molecules, copper ion chelator（acylthiourea） and tumor-targeting agent（folic acid） were fabricated to perform AIE-guided and tumor-specific synergistic therapy with great spatio-temporal controllability for the targeted elimination and metastasis inhibition of malignant tumors. During therapy, the functional gold nanoclusters（Au NTF） would rapidly accumulate in the tumor tissue due to the enhanced permeability and retention effect as well as folic acid-mediated tumor targeting, which was followed by endocytosis by tumor cells. After that, the overexpressed copper ions in the tumor cells would trigger the aggregation of these intracellular Au NTF via a chelation process that not only generated the photothermal agent in situ to perform the tumor-specific photothermal therapy damaging the primary tumor, but also led to the copper deficiency of tumor cells to inhibit its ***, the copper ions were reduced to cuprous ions along with the chelation, which further catalysed the excess H2O2in the tumor cells to produce cytotoxic reactive oxygen species, resulting in additional chemodynamic therapy for enhanced antitumor efficiency. The aggregation of Au NTF also activated the AIE molecules to present fluorescence, which not only imaged the therapeutic area for real-time monitoring of this tumor-specific synergistic therapy, but also allowed us to perform near-infrared radiation at the correct time point and location to achieve optimal photothermal therapy. Both in vitro and in vivo results revealed the strong tumor elimination, effective metastasis inhibition and high survival rate of tumor-bearing mice after treatment using the Au NTF nanoclusters, indicating that this AIE-guided and tumor-specific synergistic strategy could offer a promising approach for tumor therapy.

关键词： AIE-guided precise tumor treatment copper-dependent photothermal therapy copper-triggered chemodynamic therapy primary tumor elimination copper-plunder-induced metastasis inhibition

来源：评论

学校读者我要写书评

暂无评论

Developing deep learning-based large-scale organic reaction classification model via sigma-profiles

引用

Green chemical engineering 2025年第2期6卷 181-192页

作者： Wenlong Wang Chenyang Xu Jian Du Lei Zhang State Key Laboratory of Fine Chemical Frontiers Science Center for Smart Materials Oriented Chemical EngineeringInstitute of Chemical Process Systems EngineeringSchool of Chemical EngineeringDalian University of TechnologyDalian116024China Department of Chemical and Biomolecular Engineering National University of SingaporeSingapore117585Singapore

Advanced technologies like deep learning have accelerated the discovery of novel chemical reactions,especially in the field of organic *** hundreds of thousands of reactions available for reference,one way to effectively leverage them is by classifying chemical reactions into different clusters based on their specific characteristics,which makes target-guided navigation in the vast chemical space *** previous attempts that apply deep learning to reaction classification tasks have made substantial progress,developing a model with good interpretability as well as high accuracy for large-scale reaction classification tasks remains an open *** this work,a deep learning-based model for a large-scale reaction classification task is first constructed by utilizing pre-trained BERT and ***,the model is trained under the open-source dataset USPTO_TPL which contains recorded reactions of up to 1000 different *** multi-classification accuracy of the model on the testing dataset is 99.382%,showing its great potential for practical ***,a reaction similarity map is presented to correlate the reactions in the USPTO_TPL dataset based on their sigmaprofile-based statistical ***,representative reactions from the testing dataset are provided to illustrate the model's effectiveness on the reaction classification task.

关键词： Reaction classification Reaction fingerprint Sigma-profiles Deep learning

来源：评论

学校读者我要写书评

暂无评论

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：