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Cross-level steam load smoothing and optimization in industrial parks using data-driven approaches

Energy and AI 2024年第2期16卷 69-83页

作者： Xiaojie Lin Xueru Lin Wei Zhong Feiyun Cong Yi Zhou Zhejiang Key Laboratory of Clean Energy and Carbon Neutrality Zhejiang UniversityHangzhouChina Shanghai Institute for Advanced Study Zhejiang UniversityShanghaiChina College of Energy Engineering Zhejiang UniversityHangzhouChina Jiaxing Research Institute Zhejiang UniversityJiaxingChina School of Mechanical Engineering Zhejiang UniversityHangzhouChina

This study focuses on the integrated energy production system in industrial parks, addressing the problem of stable load dispatch of equipment under demand fluctuations. A cross-level method for steam load smoothing and optimization is proposed, aiming to achieve stable production and optimal economic performance through three levels of integration: load forecasting, load dispatch, and load regulation. Unlike traditional methods that directly use load forecasting values, heat network elasticity is presented as a buffer between demand and supply. Constraints for minimal changes in equipment load and operational parameters are established for smooth regulation. Industrial cases demonstrate that the load forecasting model has mean absolute percentage errors of 2.44% and 1.68% for medium-pressure and low-pressure steam, respectively, meeting accuracy requirements. The modified supply-side load smoothness is effectively improved by considering heat network elasticity. The method increases boiler efficiency by 1.92%, reducing average coal consumption by 0.92 t/h. Compared to manual operation, the proposed model leads to an average increase of 5.69 MW in power generation and an average reduction of 10.81% in coal-to-electricity ratio. This study verifies the importance of smooth integration across different levels and analyzes the effective response of the proposed method to the uncertainty in load forecasting. The method demonstrates the enormous potential of data-driven methods in achieving safe, economical, and sustainable production in industrial parks.

关键词： Industrial parks Heat network elasticity Load regulation Integrated optimization Load forecasting Production stability

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Component modeling and updating method of integrated energy systems based on knowledge distillation

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Energy and AI 2024年第2期16卷 184-199页

作者： Xueru Lin Wei Zhong Xiaojie Lin Yi Zhou Long Jiang Liuliu du-Ikonen Long Huang Shanghai Institute for Advanced Study Zhejiang UniversityShanghaiChina College of Energy Engineering Zhejiang UniversityHangzhouChina Jiaxing Research Institute Zhejiang UniversityJiaxingChina Department of Sustainability Science LUT UniversityLappeenrantaFinland School of Intelligent Manufacturing Ecosystem Xi'an Jiaotong-Liverpool UniversitySuzhouChina

Amid the backdrop of carbon neutrality, traditional energy production is transitioning towards integrated energy systems (IES), where model-based scheduling is key in scenarios with multiple uncertainties on both supply and demand sides. The development of artificial intelligence algorithms, has resolved issues related to model accuracy. However, under conditions of high proportion renewable energy integration, component load adjustments require increased flexibility, so the mathematical model of the component must adapt to constantly changing operating conditions. Therefore, the identification of operating condition changes and rapid model updating are pressing issues. This study proposes a modeling and updating method for IES components based on knowledge distillation. The core of this modeling method is the light weighting of the model, which is achieved through a knowledge distillation method, using a teacher-student mode to compress complex neural network models. The triggering of model updates is achieved through principal component analysis. The study also analyzes the impact of model errors caused by delayed model updates on the overall scheduling of IES. Case studies are conducted on critical components in IES, including coal-fired boilers and turbines. The results show that the time consumption for model updating is reduced by 76.67 % using the proposed method. Under changing conditions, compared with two traditional models, the average deviation of this method is reduced by 12.61 % and 3.49 %, respectively, thereby improving the model's adaptability. The necessity of updating the component model is further analyzed, as a 1.00 % mean squared error in the component model may lead to a power deviation of 0.075 MW. This method provides real-time, adaptable support for IES data modeling and updates.

关键词： Component modeling Adaptive update Knowledge distillation Variable operating conditions Integrated energy system data-driven

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removal of pathogenic indicator microorganisms during partial nitrification:the role of free nitrous acid

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Frontiers of Environmental Science & Engineering 2024年第3期18卷 93-102页

作者： Jiaojiao Xu Xiaotian Chen rui Tang Jingwei Feng Shoujun Yuan Wei Wang Zhen-Hu Hu Anhui Engineering Laboratory of Rural Water Environment and Resource School of Civil EngineeringHefei University of TechnologyHefei 230009China Hefei 168 High School Hefei 230025China Shanghai Key Laboratory of Materials Protection and Advanced Materials in Electric Power Shanghai University of Electric PowerShanghai 200090China

digested wastewater contains pathogenic microorganisms and high ammonia concentrations,which can pose a potential risk to public *** removal of pathogens and nitrogen is crucial for the post-treatment of digested *** nitrification-anammox is an energy-saving nitrogen removal *** nitrous acid(FNA),an intermediate product of partial nitrification,has the potential to inactivate ***,the efficiency and mechanisms of FNA-related inactivation in pathogens during partial nitrification remains *** this study,Enterococcus and Escherichia coli(***)were selected to investigate the efficiency and mechanisms of FNA-related inactivation in partial nitrification *** results revealed that 83%±13%and 59%±27%of *** and Enterococcus were removed,respectively,in partial nitrification process at FNA concentrations of 0.023−0.028 mg/*** the concentration of FNA increased from 0 to 0.5 mg/L,the inactivation efficiencies of *** and Enterococcus increased from 0 to 99.9%and 89.9%,*** exhibited a higher resistance to FNA attack compared to ***.3d-laser scanning microscopy(3d-LSM)and scanning electron microscopy(SEM)revealed that FNA exposure caused the surface collapse of *** and Enterococcus,as well as visible pore formation on the surface of *** cells.4',6-diamidino-2-phenylindole dihydrochloride n-hydrate(dAPI)/propidium iodide(PI)and biomolecule leakage confirmed that inactivation of *** and Enterococcus occurred due to breakdown of cell walls and cell *** findings indicate that partial nitrification process can be used for the removal of residual pathogenic microorganisms.

关键词： Partial nitrification Free nitrous acid Pathogenic indicator microorganism Inactivation Cell structure

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A double crosslinking MXene/cellulose nanofiber layered film for improving mechanical properties and stable electromagnetic interference shielding performance

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Journal of Materials Science & Technology 2022年第34期129卷 127-134页

作者： Shilu Luo Tiantian Xiang Jingwen dong Fengmei Su Youxin Ji Chuntai Liu Yuezhan Feng Key Laboratory of Materials Processing and Mold Ministry of Education National Engineering Research Center for Advanced Polymer Processing TechnologyZhengzhou UniversityZhengzhou 450002China

With the discovery of the two-dimensional(2d) MXene, it shows a great application potential in the field of electromagnetic interference(EMI) shielding, but the mechanical brittleness and easy oxidation of MXene limit its wide application. For this reason, a double crosslinking strategy is provided to solve the above problems in a nacre-like “brick-mortar” layered MXene/cellulose nanofiber(MXene/CNF) ***, the film was firstly suffered by dopamine modification, then was further reinforced by secondary Ca^(2+)bridging, so as to obtain excellent mechanical properties and antioxidative EMI shielding performance. Comparing with the single crosslinking, the double crosslinking strategy reveals a higher efficiency in improving the mechanical property. The mechanical strength and toughness of the double crosslinking MXene/CNF film can increase to 142.2 MPa and 9.48 MJ/m^(3), respectively. More importantly, while achieving good mechanical properties, the MXene composite film still holds a very stable EMI shielding performance of more than 44.6 dB when suffering from the oxidation treatment of hightemperature annealing, showing excellent anti-oxidation ability and environment tolerance. Therefore,this work provides a universal but effective double crosslinking strategy to solve the mechanical brittleness and easy oxidation of MXene-based composites, thus showing a huge potential in flexible EMI shielding applications.

关键词： Ti_(2)C_(3)T_(x)MXene Layered structure double crosslinking Mechanical properties EMI shielding performance

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Analytical solutions to the precession relaxation of magnetization with uniaxial anisotropy

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Chinese Physics B 2024年第4期33卷 656-660页

作者：张泽南贾镇林薛德胜 Key Laboratory for Magnetism and Magnetic Materials of the Ministry of Education Lanzhou UniversityLanzhou 730000China

Based on the Landau-Lifshitz-Gilbert(LLG)equation,the precession relaxation of magnetization is studied when the external field H is parallel to the uniaxial anisotropic field H_(k).The evolution of three-component magnetization is solved analytically under the condition of H=nH_(k)(n=3,1 and 0).It is found that with an increase of H or a decrease of the initial polar angle of magnetization,the relaxation time decreases and the angular frequency of magnetization *** comparison,the analytical solution for H_(k)=0 is also *** the magnetization becomes stable,the angular frequency is proportional to the total effective field acting on the *** analytical solutions are not only conducive to the understanding of the precession relaxation of magnetization,but also can be used as a standard model to test the numerical calculation of LLG equation.

关键词： precession relaxation Landau-Lifshitz-Gilbert(LLG)equation uniaxial anisotropy analytical solutions

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High-performance transparent graphene-based antennas

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Science China(Technological Sciences) 2025年第2期68卷 306-314页

作者： Chaoye HONG Lusong WEI Weijia WANG Youmei TANG Qinghai ZHU Jiangtao HUANGFU Mingsheng XU College of Integrated Circuits State Key Laboratory of Silicon and Advanced Semiconductor MaterialsZhejiang UniversityHangzhou 310027China College of Information Science and Electronic Engineering Zhejiang UniversityHangzhou 310027China

With the continuous development of wireless communication technology,applications in the military,aerospace,and vehicle wireless communication sectors have demanded miniaturized and aesthetically pleasing *** antennas,which combine the advantages of optical and radio-frequency(rF)technologies,have become a popular research ***,existing transparent antennas often suffer from complex preparation processes,fragile materials,poor conductivity,and low optical ***,we develop hybrid conductive thin films using graphene and silver nanowires,achieving a transmittance of 86% and a sheet resistance of 7.8Ω/sq with high environmental *** demonstrate the suitability of this nanocomposite in two applications:a transparent ultrahigh-frequency rF-identification tag folded dipole antenna and a transparent X-band microwave half-wave dipole *** antennas offer high gain,high radiation efficiency,and small size,indicating that transparent graphene-based antennas have remarkable potential for intelligent information sensor systems.

关键词： antenna transparent rFId small size graphene silver nanowires

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dynamic liquid film nanochannels for adjustable ion and molecule transport

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Nano research 2025年第3期18卷 494-501页

作者： Chunxiao Liang dianyu Wang Zhe Xu Haitao deng Fan Xia Ye Tian Key Laboratory of Bioinspired Materials and Interfacial Science Technical Institute of Physics and ChemistryChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China School of Chemical Engineering Zhengzhou UniversityZhengzhou 450001China State Key Laboratory of Biogeology and Environmental Geology Engineering Research Center of Nano-Geomaterials of Ministry of EducationFaculty of Materials Science and ChemistryChina University of GeosciencesWuhan 430074China Suzhou Institute for Advanced Research University of Science and Technology of ChinaSuzhou 215123China Qingdao Institute of Bioenergy and Bioprocess Technology Chinese Academy of SciencesQingdao 266101China

Gating,a fundamental feature of biological nanochannels,enables the intelligent regulation of ion and molecule transport in response to specific *** by nature,numerous artificial gating systems have been researched through the functionalization of solid-state ***,these gating systems typically allow only two transitions:“open”and“closed”,which makes it challenging to achieve multi-state ***,we construct dynamic liquid film nanochannels(dLFNs)by inserting an oil droplet into a capillary with gradient wettability that is filled with ionic *** liquid film,formed between the oil and the capillary,functions as a nanochannel for ion and molecule transport,with its height dynamically adjusted through the capillary's gradient *** a deeper level,the variations in liquid film thickness are driven by the interfacial water structure,which is mediated by hydrogen bonding ***,unlike traditional solid-state nanochannels,which involve two phases(liquid/solid),the properties of dLFNs are influenced by three phases(oil/water/solid),resulting in distinct performance characteristics,such as reconfigurability,low cost,and ease of *** work provides an avenue for designing dynamic nanofluids and may spark promising applications of dLFNs with multiscale gating properties in drug delivery,microreactors,sieving,biosensing,and other related fields.

关键词： dynamic liquid film nanochannel gating wettability oil-water-solid interface

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Multimodal Nature of the Single-cell Primate Brain Atlas:Morphology,Transcriptome,Electrophysiology,and Connectivity

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Neuroscience Bulletin 2024年第4期40卷 517-532页

作者： Yuhui Shen Mingting Shao Zhao-Zhe Hao Mengyao Huang Nana Xu Sheng Liu State Key Laboratory of Ophthalmology Zhongshan Ophthalmic CenterSun Yat-sen UniversityGuangdong Provincial Key Laboratory of Ophthalmology and Visual ScienceGuangzhou510060China Guangdong Province Key Laboratory of Brain Function and Disease Guangzhou510080China

Primates exhibit complex brain structures that augment cognitive *** neocortex fulfills high-cognitive functions through billions of connected *** neurons have distinct transcriptomic,morphological,and electrophysiological properties,and their connectivity principles *** features endow the primate brain atlas with a multimodal *** recent integration of next-generation sequencing with modified patch-clamp techniques is revolutionizing the way to census the primate neocortex,enabling a multimodal neuronal atlas to be established in great detail:(1)single-cell/single-nucleus rNA-seq technology establishes high-throughput transcriptomic references,covering all major transcriptomic cell types;(2)patch-seq links the morphological and electrophysiological features to the transcriptomic reference;(3)multicell patch-clamp delineates the principles of local ***,we review the applications of these technologies in the primate neocortex and discuss the current advances and tentative gaps for a comprehensive understanding of the primate neocortex.

关键词： Neuron Brain atlas Patch-seq Connectivity Primate

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Traffic flow prediction for highways based on a multi-task spatiotemporal graph network

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Transportation Safety and Environment 2025年第1期7卷 114-121页

作者： Jinyong Gao Sheng Luo Junshan Tian Cheng Zhou Lianhua An Fujian Expressway Group Co. LtdFuzhou 350000FujianChina Fujian Expressway Science&Technology Innovation Research Institute Co. LtdFuzhou 350000FujianChina Beijing Baidu Netcom Science Technology Co. LtdBeijing 100000China Key Laboratory of Road and Traffic Engineering of the Ministry of Education Tongji UniversityCollege of transportation engineeringShanghai 201804China

Efficient and precise traffic flow prediction is highly important in effective traffic *** research presents a novel prediction model that integrates highway spatial changes and flow-related information(speed and vehicle composition).The highway is divided into segments,using key reference points like tunnels,toll stations and *** adaptive graph convolutional network is employed to capture relationships between these *** network automatically adjusts adjacency matrix weights,facilitating the extraction of spatial flow *** flow-related information,a multi-task module attention fusion network is *** main task is traffic flow prediction,with average travel speed and vehicle composition as auxiliary *** approach enhances feature acquisition and improves prediction *** experiments using Fuzhou–Jingtan Expressway data,the model significantly enhances prediction accuracy by at least 55%.Ablation experiments validate the effectiveness of the designed modules,improving the model’s accuracy from 20%to 45%.

关键词： traffic flow prediction convolutional neural networks(CNNs) spatiotemporal graph attention mechanism

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Evaluation of the effectiveness of alginate-based hydrogels in preventing peritoneal adhesions

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regenerative Biomaterials 2023年第1期10卷 614-625页

作者： Zhu Meng Han Wang Yu Liu Minyi Yang Hang Zeng Qianqian Han National Institutes for Food and Drug Control People’s Republic of China School of Materials Science and Engineering Beijing Institute of TechnologyPeople’s Republic of China YanTai University People’s Republic of China China Pharmaceutical University People’s Republic of China

Infertility and intestinal blockage are just two examples of the postoperative consequences that can arise from peritoneal damage,which can also result in severe peritoneal fibrosis and peritoneal *** adhesions are still not effectively treated,and both pharmaceutical therapy and biomaterial barriers have only had modest preventative *** this work,we looked into the effectiveness of in-place injectable sodium alginate hydrogel for peritoneal adhesion *** findings demonstrated that sodium alginate hydrogel promoted human peritoneal mesothelial cell proliferation and migration,prevented peritoneal fibrosis by suppressing the production of transforming growth factor-β1,and,most importantly,promoted mesothelium *** findings imply that this brand-new sodium alginate hydrogel is a good candidate material for peritoneal adhesion prevention.

关键词： peritoneal adhesions sodium alginate hydrogel mesothelial cells TGF-β1

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