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A comprehensive review on the development of data-driven methods for wind power prediction and AGC performance evaluation in wind–thermal bundled power systems

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Energy and AI 2024年第2期16卷 450-463页

作者： Shuai Wang Bin Li Guanzheng Li Botong Li Hongbo Li kui jiao Chengshan Wang National Industry-Education Platform for Energy Storage Tianjin UniversityTianjin300350China Key Laboratory of Smart Grid of Ministry of Education Tianjin UniversityTianjin300072China Power Dispatching and Control Center Inner Mongolia Power(Group)Co.LtdHohhot010020China

The wind–thermal bundled power system achieves energy complementarity and optimized scheduling, which is an important way to build a new type of energy system. For the safe and stable operation of the wind–thermal bundled power system, accurate data-driven analysis is necessary to maintain real-time balance between electricity supply and demand. By summarizing the development and characteristics of wind–thermal bundled power system in China and different countries, current research in this field can be clearly defined in two aspects: short-term wind power prediction for wind farms and performance evaluation of automatic generation control (AGC) for thermal power generation units. For short-term wind power prediction, it is recommended to focus on historical data preprocessing and artificial intelligence methods. The technical characteristics of different data-driven wind power prediction methods have been compared in detail. For performance evaluation of AGC units, a comprehensive analysis was conducted on current evaluation methods, including the “permitted-band” and “regulation mileage” methods, as well as the issue of evaluation failure in traditional evaluation methods in practical engineering. Finally, the relative optimal dynamic performance of AGC units was discussed and the future trend of data-driven research in wind–thermal bundled power system was summarized.

关键词： Wind power prediction Automatic generation control Performance evaluation Data-driven Feature analysis

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Cross-domain diagnosis for polymer electrolyte membrane fuel cell based on digital twins and transfer learning network

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Energy and AI 2024年第3期17卷 555-568页

作者： Zhichao Gong Bowen Wang Mohamed Benbouzid Bin Li Yifan Xu Kai Yang Zhiming Bao Yassine Amirat Fei Gao kui jiao State Key Laboratory of Engines Tianjin University135 Yaguan RoadTianjin300350China University of Brest UMR CNRS 6027 IRDL29238BrestFrance National Industry-Education Platform for Energy Storage Tianjin University135 Yaguan RoadTianjin300350China The Key Laboratory of Smart Grid of Ministry of Education Tianjin UniversityTianjin300072China Ability R&D Energy Research Centre School of Energy and EnvironmentCity University of Hong KongKowloonHong KongChina University of Technology of Belfort-Montbéliard CNRSInstitut FEMTO-STF-90010BelfortFrance ISEN Yncréa Ouest Brest UMR CNRS 6027 IRDL29200BrestFrance

Existing research on fault diagnosis for polymer electrolyte membrane fuel cells(PEMFC)has advanced significantly,yet performance is hindered by variations in data distributions and the requirement for extensive fault *** this study,a cross-domain adaptive health diagnosis method for PEMFC is proposed,integrating the digital twin model and transfer convolutional diagnosis model.A physical-based high-fidelity digital twin model is developed to obtain diverse and high-quality datasets for training diagnosis *** extract long-term time series features from the data,a temporal convolutional network(TCN)is proposed as a pre-trained diagnosis model for the source domain,with feature extraction layers that can be reused to the transfer learning *** is demonstrated that the proposed pre-trained model can hold the ability to accurately diagnose the various fuel cell faults,including pressure,drying,flow,and flooding faults,with 99.92%accuracy,through the effective capture of the long-term dependencies in time series ***,a domain adaptive transfer convolutional network(DATCN)is established to improve the diagnosis accuracy across diverse fuel cells by learning domain-invariant *** results show that the DATCN model,tested on three different target domain devices with adversarial training using only 10%normal data,can achieve an average accuracy of 98.5%(30%improved over traditional diagnosis models).This proposed method provides an effective solution for accurate cross-domain diagnosis of PEMFC devices,significantly reducing the reliance on extensive fault data.

关键词： Fuel cell Fault diagnosis Transfer learning Digital twins Cross-domain adaptation

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端基对固态电解质离子传输和传热性能的影响

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工程热物理学报 2024年第5期45卷 1464-1469页

作者：王家歧樊林浩李伟卓焦魁杜青天津大学内燃机燃烧学国家重点实验室天津300350

本文研究了不同端基聚合物下聚环氧乙烷(PEO)和双(三氟甲磺酰亚胺)锂盐(LiTFSI)固体聚合物电解质的离子扩散系数和热导率,并对其结构性质进行了分析,以研究离子输运和热传导机理。结果表明,以端甲氧基聚环氧乙烷为基体电解质具有较好的... 详细信息

本文研究了不同端基聚合物下聚环氧乙烷(PEO)和双(三氟甲磺酰亚胺)锂盐(LiTFSI)固体聚合物电解质的离子扩散系数和热导率,并对其结构性质进行了分析,以研究离子输运和热传导机理。结果表明,以端甲氧基聚环氧乙烷为基体电解质具有较好的离子传输性能,因为更多的自由锂离子能够传输。然而,其导热性质更差,因为声子谱转移到更高的频率,这表明高频声子散射的增强导致热导率降低。这些结论对PEO-LiTFSI电解质设计有着很好的指导意义。

关键词：固体聚合物电解质分子动力学离子传输热导率

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气体扩散层侵入流道对燃料电池水管理影响研究

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化工学报 2024年第8期75卷 2929-2938页

作者：吕方明包志铭王博文焦魁天津大学先进内燃动力全国重点实验室天津300354 天津大学国家储能技术产教融合创新平台天津300354

质子交换膜燃料电池在装配过程中,气体扩散层(GDL)会因为装配压力产生形变而侵入流道。基于流体体积法建立截面形状分别为矩形、梯形和正方形的流道在GDL不同侵入程度下的数值模型,并对其进行气-液两相流行为研究,得到了液体滞留、排水... 详细信息

质子交换膜燃料电池在装配过程中,气体扩散层(GDL)会因为装配压力产生形变而侵入流道。基于流体体积法建立截面形状分别为矩形、梯形和正方形的流道在GDL不同侵入程度下的数值模型,并对其进行气-液两相流行为研究,得到了液体滞留、排水效果、GDL面传质面积等方面规律。GDL侵入流道时,液体在排出过程中破碎程度减小,液体更容易积聚在一起,影响液体滞留效果。矩形截面流道排液时间更长,梯形和正方形截面流道液体排出时刻滞后。GDL侵入流道时,进气流速的增加使得较为聚集的液体排出速度稳定,并未大幅减小。GDL侵入流道程度较大时,矩形截面流道更多液滴黏附在流道侧壁与GDL面使得GDL面覆盖率较大,梯形截面流道顶部会形成稳定的薄膜流,排液速度大且GDL面覆盖率小。

关键词：燃料电池气液两相流动计算流体力学气体扩散层形变流体体积法流道水管理

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Two-Phase Flow in Porous Electrodes of Proton Exchange Membrane Fuel Cell

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Transactions of Tianjin University 2020年第3期26卷 197-207页

作者： Daokuan jiao kui jiao Qing Du State Key Laboratory of Engines Tianjin University135 Yaguan RoadTianjin 300350China

Water management in porous electrodes bears significance due to its strong potential in determining the performance of proton exchange membrane fuel *** terms of porous electrodes,internal water distribution and removal process have extensively attracted attention in both experimental and numerical ***,the structural difference among the catalyst layer(CL),microporous layer(MPL),and gas diffusion layer(GDL)leads to significant challenges in studying the two-phase flow *** the different porosities and pore scales of the CL,MPL,and GDL,the model scales in simulating each component are *** review emphasizes the numerical simulation related to porous electrodes in the water transport process and evaluates the effectiveness and weakness of the conventional methods used during the *** limitations of existing models include the following:(i)The reconstruction of geometric models is difficult to achieve when using the real characteristics of the components;(ii)the computational domain size is limited due to massive computational loads in three-dimensional(3 D)simulations;(iii)numerical associations among 3 D models are lacking because of the separate studies for each component;(iv)the effects of vapor condensation and heat transfer on the two-phase flow are disregarded;(v)compressive deformation during assembly and vibration in road conditions should be considered in two-phase flow studies given the real operating ***,this review is aimed at critical research gaps which need further *** potential research directions are also suggested for future improvements.

关键词： PEMFC Porous electrodes Two-phase flow Water management

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复合碰撞模型在液滴碰撞和栓式喷雾下的应用

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工程热物理学报 2024年第2期45卷 437-445页

作者：部竞琦钟生辉廖锡峰刘卓昕韩宁焦魁张帆杜青天津大学内燃机燃烧学国家重点实验室天津300350 北京航空航天大学杭州创新研究院(余杭) 杭州310023

目前主流CFD计算软件中基于拉格朗日框架的碰撞模型不够准确,难以对液液栓式喷雾的宏观特性进行仿真。故本文基于开源软件OpenFOAM植入了复合碰撞模型,考虑了卫星液滴和四种不同的碰撞模式:聚合(Ⅰ,Ⅲ)、反弹(Ⅱ)、自反分离(Ⅳ)和拉伸分... 详细信息

目前主流CFD计算软件中基于拉格朗日框架的碰撞模型不够准确,难以对液液栓式喷雾的宏观特性进行仿真。故本文基于开源软件OpenFOAM植入了复合碰撞模型,考虑了卫星液滴和四种不同的碰撞模式:聚合(Ⅰ,Ⅲ)、反弹(Ⅱ)、自反分离(Ⅳ)和拉伸分离(Ⅴ),修正了反弹模式中液滴的速度方向;通过纯轨迹法(改进的Nordin模型)检测液滴碰撞。该碰撞模型在不同模式的液滴碰撞和栓式喷雾上都与实验吻合较好,如液滴的运动过程、喷雾分布和喷雾锥角等。不同工况下对比表明,复合碰撞模型能合理地将液滴碰撞动力学应用于栓式喷雾,预示结果明显优于CFD软件中的O’Rourke碰撞模型,准确预示出喷雾锥角随有效动量比的变化趋势以及径向液柱、轴向液膜的混合分布。

关键词：复合碰撞模型碰撞液滴栓式喷雾

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Aligned single-walled carbon nanotubes array electrode:Fabrication,characterization and application

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Chinese Chemical Letters 2009年第1期20卷 76-78页

作者： Xu Zhi Zhang kui jiao College of Chemistry and Molecular Engineering Qingdao University of Science and Technology Qingdao 266042 China

In the presence of 1-（3-dimethylaminopropyl）-3-ethylcarbodiimide hydrochloride （EDC） and N-hydroxysuccinimide （NHS）, carboxylic group-functionalized single-walled carbon nanotubes （SWNTs） were assembled vertically on the glassy carbon electrode using ethylenediamine as linking agent to fabricate an aligned electrode （SWNTE）. The morphological characteristic was studied with atomic force microscope （AFM） and its electrochemical property was investigated using K3[Fe（CN）6] as probe. ssDNA had a sensitive voltammetric response at the SWNTE and the oxidative peak potentials of guanine base and adenine base were 0.608 Vand 0.896 V, respectively. Under the optimal conditions, the DPV peak current of guanine base vs. the concentration of ssDNA was linear in the range of 5.4 μg/L-10.8 mg/L with a detection limit of 1 μg/L （S/N = 3）.

关键词： Single-walled carbon nanotubes Aligned electrode DNA Voltarnmetry

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Electrochemical Study on the Interaction of Protein with Bromothymol Blue and Its Analytical Application

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Chemical Research in Chinese Universities 2008年第6期24卷 701-706页

作者： WANG Xue-liang YANG Jie jiao kui College of Chemistry and Molecular Engineering Qingdao University of Science and Technology Qingdao 266042 P. R. China

The interaction of bromothymol blue（BB） with human serum albumin（HSA） was studied by electrochemical techniques and a sensitive method for proteins assay was developed. When BB interacted with HSA, the voltammetric peak current value of BB decreased linearly with the concentration of HSA in a range of 1.0--40.0 mg/L, and the peak potential shifted negatively. Based on the results, a sensitive assay method for proteins, such as HSA, bovine serum albumin（BSA）, and egg albumin etc. was established. This method was further applied to determining the HSA in healthy human blood samples, and the results are not significantly different from those obtained by the classic Coomassie Brilliant Blue G-250 spectrophotometic method. The detecting conditions of this method were optimized and the interaction mechanism was discussed. The results show that the electrochemical parameters（formal potential E^0, standard rate constant of the electrode reaction ks, parameter of kinetic nα） of BB have no obvious changes before and after the interaction, which indicate that BB can interact with HSA, forming an electrochemical non-active complex. The equilibrium constant（βs） and the binding ratio（m） for this complex were calculated. The m is 4 and βs is 1.41 × 10^19. This method is fast, simple, highly sensitive, and has good selectivity, which can be used in clinical measurements.

关键词： Bromothymol blue(BB) Human serum albumin Serum sample Voltammetry

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Controllable fabrication of Au micro/nanostructures on self-doped polyaniline nanofibers via electrochemical deposition and its application for DNA immobilization

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Chinese Science Bulletin 2010年第36期55卷 4125-4131页

作者： WANG XinXing YANG Tao jiao kui Shandong Provincial Key Laboratory of Biochemical Analysis College of Chemistry and Molecular Engineering Qingdao University of Science and Technology Qingdao 266042 China

Four electrochemical methods, cyclic voltammetric deposition, potentiostatic electrodeposition, multi-potential step electrodeposition and three-step electrodeposition, were used to fabricate Au micro/nanostructures on self-doped polyaniline nanofibers-coated glassy carbon electrodes (Au/nanoSPAN/GCEs). The Au micro/nanostructures deposited on the nanoSPAN-modified electrodes were shown by scanning electron microscopy to exhibit different morphologies, such as Au nanoparticle clusters, monodisperse nanoparticles and homogeneously dispersed flower-like microparticles, depending on the deposition method. This phenomenon demonstrates that control over the morphology of Au metal can be easily achieved by adjusting the electrodeposition method. The electrochemical behaviors of the Au/nanoSPAN/GCEs also varied with above four methods, which were characterized by cyclic voltammetry and electrochemical impedance spectroscopy. In comparison with Au nanoparticle clusters and monodisperse Au nanoparticles, homogeneously dispersed flower-like Au microparticles had the largest surface area and obviously enhanced electrochemical response towards the redox reactions of [Fe(CN)6]3–/4– on the modified electrode. DNA immobilization on the Au/nanoSPAN/GCEs was investigated by differential pulse voltammetry using [Fe(CN)6]3–/4– as an indicator. The efficiency of DNA immobilization was inherently related to their different Au micro/nanostructure morphologies. The Au/nano-SPAN/GCE fabricated by three-step electrodeposition showed the largest capacity for immobilization of single stranded DNA, which makes it a promising DNA biosensor.

关键词：单链DNA 电化学沉积纳米纤维纳米结构可控制备固定化聚苯胺自掺杂

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Electrochemical Study of Lincomycin on Au-PtNPs/nanoPAN/ Chitosan Nanocomposite Membrane and Its Determination in Injections

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Chemical Research in Chinese Universities 2010年第3期26卷 371-375页

作者： WANG Xue-liang YANG Tao jiao kui College of Chemistry and Molecular Engineering Qingdao University of Science and Technology Qingdao 266042 P. R. China

The Au-Pt alloy nanoparticles（Au-PtNPs） were electrochemically deposited on the surface of polyaniline nanotube（nanoPAN） and chitosan（CS） modified glassy carbon electrode（GCE）. The electrochemical behavior of lincomycin at Au-PtNPs/nanoPAN/CS modified GCE was investigated by cyclic voltammetry, linear sweep voltammetry and chronocoulometry. Cyclic voltammetric experiments show that lincomycin at the nanocomposite membrane modified electrode exhibited a pair of quasi-reversible redox peaks in pH=6.0 PBS. The membrane could accelerate the electron transfer of lincomycin on the electrode and significantly enhance the peak current. In a range of 3.0-100.0 mg/L, the reductive peak current of lincomycin at 0.42 V was linearly related to its concentration and the linear regression equation was ip,c=0.2703ρ-0.0042（ip, c： μA; ρ： mg/L; r=0.998, n=7） with a detection limit of 1.0 mg/L（S/N =3）. Compared with other methods, this method exhibited many advantages such as high sensitivity, selectivity, wide linear range and low detection limit. The method was used to determine the content of lincomycin in injections commercially available with satisfactory results. Some electrochemical parameters involved in the redox reaction of lincomycin, such as parameter of kinetic ha, standard rate constant ks and the number of H^＋, were also calculated.

关键词： Lincomycin Au-Pt alloy nanoparticle Polyaniline nanotube Nanocomposite membrane

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