检索结果-南通市图书馆

Co-production of hydrogen, oxygen, and electricity via an integrated solar-driven system with decoupled water electrolyzer and Na-Zn ion battery

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of energy Chemistry 2025年第1期100卷 621-627页

作者： Fei Lv Longjie Liu Jiazhe Wu Pengfei Wang Lixia Pan Dengwei Jing Yubin Chen International Research Center for renewable energy State Key Laboratory of Multiphase Flow in Power EngineeringXi’an Jiaotong UniversityXi’an 710049ShaanxiChina

Combining water electrolysis and rechargeable battery technologies into a single system holds great promise for the co-production of hydrogen (H_(2)) and ***,the design and development of such systems is still in its ***,an integrated hydrogen-oxygen (O_(2))-electricity co-production system featuring a bipolar membrane-assisted decoupled electrolyzer and a Na-Zn ion battery was established with sodium nickelhexacyanoferrate (NaNiHCF) and Zn^(2+)/Zn as dual redox *** decoupled electrolyzer enables to produce H_(2)and O_(2)in different time and space with almost 100%Faradaic efficiency at 100 mA cm^(-2).Then,the charged NaNiHCF and Zn electrodes after the electrolysis processes formed a Na-Zn ion battery,which can generate electricity with an average cell voltage of 1.75 V at 10 m A cm^(-2).By connecting Si photovoltaics with the modular electrochemical device,a well-matched solar driven system was built to convert the intermittent solar energy into hydrogen and electric energy with a solar to hydrogen-electricity efficiency of 16.7%,demonstrating the flexible storage and conversion of renewables.

关键词： Hydrogen Electricity Decoupled water electrolyzer Na-Zn ion battery Solar energy

用于光辅助增强锌离子电容器稳定性的g-C3N4修饰MOS2光电极（英文）

在线全文

学校读者我要写书评

暂无评论

Science China Materials 2025年

作者：米倡华孙鑫殷小净杨佳豪吕延龙吕小军李美成 state key laboratory of Alternate electrical power system with renewable energy sources School of New Energy North China Electric Power University

光辅助充电电容器是一种有吸引力的太阳能转换和储存装置,但光电极的性能限制了它们的效果.在这项工作中, g-C3N4修饰的MoS2光电极表现出增强的光可充电性能.结果表明, g-C3N4的引入增加了MoS2光电极的表面积,促进了载流子的输运,从而...

光辅助充电电容器是一种有吸引力的太阳能转换和储存装置,但光电极的性能限制了它们的效果.在这项工作中, g-C3N4修饰的MoS2光电极表现出增强的光可充电性能.结果表明, g-C3N4的引入增加了MoS2光电极的表面积,促进了载流子的输运,从而提高了电容器的比容量和循环稳定性.在AM 1.5 G照明下,采用g-C3N4/MoS2光电极制备的锌离子电容器在1 A/g下的比容量为380.93 F/g.值得注意的是,在10 A/g下循环3000次后,光辅助锌离子电容器的容量保持在99%以上.

关键词：

Experimental Study on energy Storage Characteristics of Sintered Ore Particle Packed Beds

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Journal of Thermal Science 2025年第1期34卷 242-253页

作者： LAI Zhenya DING Liwei LYU Hongkun HOU Chenglong CHEN Jiaying GUOXutao HAN Gaoyan ZHANG Kang state Grid Zhejiang Electric power Research Institute Hangzhou 310014China state key laboratory of Clean energy Utilization Zhejiang UniversityHangzhou 310027China

The particle packed bed energy storage system has advantages such as low costs and wide temperature ranges,which can be combined with solar thermal power generation systems to solve the inherent volatility and discontinuity of renewable *** new materials with low costs and excellent storage performances is one of the eternal research hotspots in the field of energy *** paper innovatively uses sintered ore particles as energy storage material and studies the effect of particle size on the airflow resistance characteristics,energy storage characteristics,and thermocline evolution characteristics of the packed bed through thermal energy storage *** results indicate that for the particles in the macro scale,the smaller the particle,the lower the absolute permeability of the bed and the greater the airflow *** packed bed with smaller particles has a larger specific surface area,larger bulk mass,and smaller bed ***,the packed beds with smaller particles have better thermocline characteristics,less irreversible loss,and can achieve higher thermal efficiency and higher exergy efficiency in the heat storage *** cycle thermal efficiency in packed beds with 25-40 mm,16-25 mm,and 10-16 mm particles is 53.58%,56.27%,and 57.60%,respectively,and the cycle exergy efficiency is 61.81%,69.25%,and 74.13%,***,this paper also studies the effect of discharging airflow rates on thermal storage *** experimental results indicate that suitable discharging strategies should be selected based on different heat demands.

关键词： particle packed bed airflow resistance thermal energy storage thermocline evolution

Investigating Black-Box Model for Wind power Forecasting Using Local Interpretable Model-Agnostic Explanations Algorithm

在线全文

学校读者我要写书评

暂无评论

CSEE Journal of power and energy systems 2025年第1期11卷 227-242页

作者： Mao Yang Chuanyu Xu Yuying Bai Miaomiao Ma Xin Su key laboratory of Modern power system Simulation and Control&renewable energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132012China Daqing power Industry Bureau Daqing 163000China

Wind power forecasting(WPF)is important for safe,stable,and reliable integration of new energy technologies into power *** learning(ML)algorithms have recently attracted increasing attention in the field of ***,opaque decisions and lack of trustworthiness of black-box models for WPF could cause scheduling *** study develops a method for identifying risky models in practical applications and avoiding the ***,a local interpretable model-agnostic explanations algorithm is introduced and improved for WPF model *** that basis,a novel index is presented to quantify the level at which neural networks or other black-box models can trust features involved in ***,by revealing the operational mechanism for local samples,human interpretability of the black-box model is examined under different accuracies,time horizons,and *** interpretability provides a basis for several technical routes for WPF from the viewpoint of the forecasting ***,further improvements in accuracy of WPF are explored by evaluating possibilities of using interpretable ML models that use multi-horizons global trust modeling and multi-seasons interpretable feature selection *** results from a wind farm in China show that error can be robustly reduced.

关键词： Black-box model correlation analysis feature trust index local interpretability local interpretable modelagnostic explanations(LIME) wind power forecasting

Improved Multi-Grained Cascade Forest Model for Transformer Fault Diagnosis

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

CSEE Journal of power and energy systems 2025年第1期11卷 468-476页

作者： Yiyi Zhang Yuxuan Wang Jiefeng Liu Heng Zhang Xianhao Fan Dongdong Zhang Guangxi key laboratory of power system Optimization and energy Technology Guangxi UniversityNanningGuangxi530004China

Dissolved gas analysis(DGA)is an effective online fault diagnosis technique for large oil-immersed ***,due to the limited number of DGA data,most deep learning models will be overfitted and the classification accuracy cannot be ***,this paper has introduced the idea of deep neural networks into the multi-grained cascade forest(gcForest),which is a tree-based deep learning model,and proposed an improved gcForest that can be accelerated by ***,in order to extract features more effectively and reduce memory consumption,the multi-grained scanning of gcForest is replaced by convolutional neural ***,the cascade forest(CasForest)is replaced by cascade eXtreme gradient boosting(CasXGBoost)to improve the classification ***,235 DGA samples are used to train and evaluate the proposed *** average fault diagnosis accuracy of the improved gcForest is 88.08%,while the average recall,precision,and Fl-score are 0.89,0.90,0.89,***,the proposed method still has high fault diagnosis accuracy for datasets of different sizes.

关键词： Convolutional neural networks dissolved gas analysis fault diagnosis multi-grained cascade forest(gcForest) power transformer

Revealing the Impact of Ferromagnetic Elements on Fe-Based Amorphous Alloy Properties via ab initio Molecular Dynamics Simulations and Experiments

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Chinese Physics Letters 2025年第1期42卷 102-113页

作者： Jin-Hua Xiao Da-Wei Ding Lin Li Yi-Tao Sun Mao-Zhi Li Wei-Hua Wang state key laboratory of Alternate electrical power system with renewable energy sources North China Electric Power UniversityBeijing 102206China Institute of Physics Chinese Academy of SciencesBeijing 100190China Department of Physics and Beijing key laboratory of Opto-electronic Functional Materials&Micro-nano Devices Renmin University of ChinaBeijing 100872China

A high saturation magnetic flux density(Bs)is essential for the development of Fe-based amorphous alloys for electromagnetic devices and ***,achieving a high Bs often compromises the glass-forming ability(GFA)of Fe-based amorphous *** study investigates the effects of ferromagnetic elements(Fe,Co,and Ni)on the microstructure and magnetic properties of Fe86B7C7 amorphous alloys through experiments and ab initio molecular dynamics *** analyzing both the experimental and simulation results,the relationship between the atomic structures,GFA,and magnetic properties of these amorphous alloys was *** results indicate that the GFA of the alloys is correlated with the proportion of icosahedral and body-centered cubic *** addition of Co and Ni not only improved the GFA of the alloys but also effectively increased the overall magnetic moment with an appropriate amount of Co and a small amount of *** increase in the magnetic moment primarily arises from the enhancement of the magnetic moment of Fe atoms,resulting from the redistribution between the spin-up and spin-down electrons of Fe-3d orbits,as well as the strong exchange interactions between Fe and Co and Fe–Ni *** results obtained offer valuable insights into the correlation between the atomic structure and magnetic properties of these amorphous alloys and suggest potential directions for the optimization of Fe-based amorphous alloys.

关键词： alloys microstructure magnetic

Model and Data Hybrid Driven Approach for Quantifying the Meteorology-Dependent Demand Flexibility of Building Thermal Loads

在线全文

学校读者我要写书评

暂无评论

CSEE Journal of power and energy systems 2025年第1期11卷 394-405页

作者： Bo Hu Xin Cheng Changzheng Shao Tao Niu Chunyan Li Yue Sun Wei Huang Kaigui Xie state key laboratory of power Transmission Equipment and system Security Chongqing UniversityChongqing400030China

Recently, the heat and electricity integrated energy system (HE-IES) has become a hot topic in both industry and academia. In the HE- IES, the potential flexibility of the buildings' thermal loads can be exploited to relax the heat power balance constraints and consequently allow a more flexible operation of the combined heat and power units. In this paper, model-driven and data-driven techniques are combined to quantify the demand flexibility of the buildings' thermal loads in a non-instructive way. First, the explicit analytical equivalent thermal parameter (ETP) model of the aggregated buildings is developed. The heat transfer coefficient (k) and thermal inertia coefficient (C) of the ETP model are designated to measure the potential demand flexibility. Second, the Particle Swarm Optimization optimized Radial Basis Function neural network (PSO-RBF) is used to identify the relationship between the values of k and C and the meteorological factors. To obtain the training data, an innovative two-stage regression method based on the adaptive temporal resolution is proposed to extract k and C values from the historical thermal load data. Finally, a flexible thermal load model is built based on the predictions of the meteorological factors, which can be conveniently incorporated into the online dispatch of the HE-IES. A comprehensive simulation environment is designed to verify the accuracy and availability of the proposed technique.

关键词： Flexibility of buildings'thermal loads heat and electricity integrated energy system meteorological factors model and data hybrid driven.

Performance and Sizes of sCO2 Multistage Axial Compressors at Various power Capacities

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Thermal Science 2025年第02期 352-373页

作者： WANG Tianze XU Jinliang ZHENG Haonan QI Jianhui Beijing key laboratory of Multiphase Flow and Heat Transfer for Low Grade energy Utilization North China Electric Power University key laboratory of power Station energy Transfer Conversion and system (North China Electric power University) Ministry of Education School of energy and power Engineering Shandong University

The supercritical carbon dioxide（sCO2） cycle can be powered by traditional as well as clean *** help users obtain more accurate results than the literatures with pre-set compressor efficiency,we proposed a complete model to establish a link between the performance,sizes of compressors and parameters such as power WC, inlet temperature Tin,inlet pressure Pinand pressure ratio ε.Characteristic sizes of compressors lc,profile loss Ypand clearance loss Yclare all proportional to powers of WCwith powers of 0.5,-0.075 and-0.5 to 0 respectively;the scaling laws are constant in the range of capacities from 20 MW to 200 *** compressor isentropic efficiency ηttgrows as the WCincreases,and the curves become *** efficiency improves over the full power range when the speed is changed from standard speed to the optimal speed;the ηttcurves turn soft as the n *** the Pinand Tinapproach the critical point,the η*** efficiency follows a parabolic curve as the ε increases,this parabolic distribution results from the tradeoff between the change in losses and the pressure distribution of *** ηttversus Pin,Tinand ε relations are similar at various capacities because of insignificant changes in the distribution of *** efficiency maps facilitate the estimation of system performance,while scaling law for irreversible losses and characteristic lengths,along with constant criterion analyses,aid in comprehending the characteristics of compressors across various capacities.

关键词：

Performance Analysis of a Coupled system based on Organic Rankine Cycle and Double Effect Absorption Refrigeration for Waste Heat Recovery in Data Center

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Journal of Thermal Science 2025年第1期34卷 188-205页

作者： LI Peng XU Jiaqi WANG Binbin LIU Jianyang ZHAO Wensheng HAN Zhonghe School of energy power and Mechanical Engineering North China Electric Power UniversityBaoding 071003China Hebei key laboratory of Low Carbon and High Efficiency power Generation Technology North China Electric Power UniversityBaoding 071003China

During data center operation,it generates a significant volume of low-grade waste *** recover waste heat,a coupled system including solar collector,double effect absorption refrigeration and organic Rankine cycle is *** system performance is analyzed in *** the organic Rankine cycle,five organic working fluids(R245fa,R245ca,R123,R11,and R113)are selected.R245fa,R113 and R245ca obtain the maximum net power output,thermal efficiency and exergy efficiency,*** the double effect absorption refrigeration system,the evaporation temperature,condensation temperature,and generation pressure affect the COP and exergy *** the generator pressure is unchanged,the COP increases with increasing evaporation temperature and decreasing condensation *** the COP reaches 1.3,the COP slightly decreases as the evaporation temperature or condensation temperature ***,the exergy efficiency of refrigeration systems exhibits the same trend as the COP,and the exergy efficiency maximum value appears at approximately 0.32.A new performance indicator,rPUE,was defined to evaluate the data center power utilization *** flow distribution ratio and heat source temperature were optimized with multi-objective *** the mass flow distribution rate is 0.6 and the heat source temperature is 441.5 K,rPUE and the total unit production costs of the system obtain the optimal solution.

关键词： data center solar heat collection organic Rankine cycle double effect absorption refrigeration waste heat recovery