bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of Prepared WSe2 with Two Different Reductants on Its Photocatalytic Reduction Performance of Carbon Dioxide
Authors: Luo Z , Li Y H , Guo F B , Zhang L X , Hou B , Guo J C , Wang S N 
Published: March 2021

Abstract
Fossil fuel combustion and automobile exhaust emissions are the main causes of the greenhouse effect. An effective measure to solve this problem is to convert carbon dioxide into green and clean energy. Photocatalytic technology is a green technology with important application prospects in the energy and environmental fields. At present, the catalyst has some defects, such as specific surface area is lower, the photoelectric-hole pair recombination rate is fast and the quantum efficiency is low. Therefore, effective photocatalysts have become the focus of researchers. In the paper, WSe2 was successfully prepared by the hydrothermal reaction using two different reductants and solvents, and the XRD, UV-Vis DRS, N2 adsorption-desorption tests are adopted for characterization of prepared sample. The XRD, UV-Vis DRS and BET characterization results show that the WSe2 samples prepared with two reductants both contain pure-phase WSe2, and the location distribution of main diffraction peaks is consistent with that of hexagonal WSe2 (JCPDS card, PDF#38-1388); the prepared WSe2 presents photo response within the range of 200-700nm, but compared with WSe2 (NaBH4), the light absorption intensity of WSe2 (N2H4.H2O) is significantly enhanced; compared with WSe2 (NaBH4), the specific surface area of WSe2 (N2H4.H2O) is bigger, which are 3.4 m2.g−1 and 3.0 m2 g−1, respectively. After photocatalytic reaction for 12h with the catalyst of two different WSe2 (N2H4.H2O) and WSe2 (NaBH4), WSe2 (N2H4.H2O) shows great photocatalytic activity, and the overall yields of CH3OH are 327.13 μmol g−1cat and 46.32 μmol g−
1cat, respectively.
Performance Analysis of SOFC/GT Combined Cycle System with Preheater Arranged after the Turbine
Authors: Lao X S , Ma C 
Published: March 2021

Abstract
For the SOFC/GT combined cycle system where the preheater is arranged behind the turbine, the thermodynamic model is used to describe the compressor, turbine, and preheater, and the zero-dimensional model is used to describe the fuel cell. The performances of the low-temperature fuel cell combined cycle system and the medium-temperature fuel cell combined cycle system are studied. The results show that the medium-temperature fuel cell system has higher power and efficiency, because the efficiency of SOFC is higher than that of gas turbines under most operating conditions. Increasing, power and efficiency tend to decrease. The increase of fuel utilization rate leads to an increase in the overall efficiency of the system. The higher the fuel utilization rate, the more obviously the cycle efficiency is affected by the SOFC, and the faster the decline with the increase of fuel. When the fuel consumption is high and the current density of the SOFC is high, low cell fuel utilization is beneficial to cycle efficiency.
Comparison of LBM and FVM for Simulation of Solid-Liquid Phase Change Problem with Natural Convection
Authors: Yang X H , Wu J , Li Y Q , Zhao Z X , Ke Z W , Lin Y S , Liao M R , Ke H B , Huang C H , Chen K 
Published: March 2021

Abstract
Phase change materials (PCM) are wildly investigated and used in the fields of thermal energy storage and thermal control of electronics. Numerical simulation is an important method in the research, development, analysis and design of PCM based systems. At present, there are two main numerical methods for the simulation of solid-liquid phase transition problems with natural convection: the finite volume method (FVM) based on macroscopic scale continuity equations, and the lattice Boltzmann method (LBM) based on mesoscopic scale lattice Boltzmann equation. In this paper, the calculation characteristics, speed, efficiency, and accuracy of the two numerical methods are compared, with the classical solid-liquid phase change heat transfer experimental results as benchmark reference. The results obtained in this paper can be used as valuable reference for the selection and use of numerical simulation methods in the study of solid-liquid phase transition problems.
Numerical Study on the Influence of Supercritical Heat Transfer Deterioration on the Combustion Process
Authors: Zhao Z X , Yang X H , Li Y Q , Lao X S , Lin Y S , Liu Y , Gou J L , Liao M R , Wang W 
Published: March 2021

Abstract
The conjugate heat transfer from in-furnace combustion to in–tube supercritical fluid has been numerically investigated in this study. The mathematical model of the conjugate heat transfer process has been constructed. The effects of the abnormal heat transfer phenomena of supercritical fluid in tube and combustion status change in the furnace on the conjugate heat transfer process were analyzed. The results demonstrate that the Renormalization-group (RNG) model has better prediction ability. The Abe-Kondoh-Nagano (AKN) model will have an over-prediction problem for the abnormal heat transfer. The RNG model is also more accurate in simulating the combustion process in the furnace.
Design and Application of Energy Management Integrated Monitoring System for Energy Storage Power Station
Authors: Zhong X , Jiang Y W , Hou K , Cai W , Yin H , Liu J , Wang Q S 
Published: March 2021

Abstract
According to the characteristics of huge data, high control precision and fast response speed of the energy storage station, the conventional monitoring technology can not meet the practical application requirements. In this paper, an integrated monitoring system for energy management of energy storage station is designed. The key technologies, such as multi-module integration technology, centralized energy management control technology, high concurrency group control technology based on IEC61850 and internal interaction mechanism based on User Datagram Protocol, are described in detail. Relying on the project site of Langli energy storage station, the secondary system architecture of the energy storage station is simplified, the stability of control operation and the fast response ability of power conversion system group are improved, and the reliability of output power of the energy storage station is guaranteed.
A Distributed Optimal Scheduling Method Based on Microgrid Cluster of Plug and Play
Authors: Tang W , Liu Q , He P , Liu G F 
Published: March 2021

Abstract
This paper proposes a distributed optimization method to solve the problems of centralized optimization and centralized management of a microgrid. Also, the distributed optimization solution method upgrade to a process of distributed iterative solution and optimization, which can solve the distributed optimization problem of a large microgrid cluster. According to iterative calculation, accord the augmented Lagrange function supports the centralized optimization problem divided into corresponding subproblems, and the penalty factors of interconnected variables considered to adjust the consumption of local resources, to make microgrid cluster (MGC) more flexible. In particular, the framework of multi-verse consistency and model predictive control (MPC) can help the global optimization reach the optimal quickly. In this paper, the simulation is solved by Gurobi commercial solver in MATLAB. The results show that the proposed method needs only a few iterations to achieve global optimization, and the effectiveness of plug and play proved.
Investigation on Switchable Evaporation and Condensation Horizontal Single Tube Heat Exchange Experiment Platform
Authors: Chang W Y , Wang J F , Xie J , Teng W Q 
Published: March 2021

Abstract
In this experiment, the switchable evaporation and condensation horizontal single-tube heat exchange experiment platform is designed. And the equipment selection and construction of the experiment platform is completed through the design calculation. The experimental results show that the thermal balance error of the test section of the experiment platform is less than 15%, especially the condensation and evaporation experiment of R22 in 12.7 mm copper tube, and the evaporation experiment of R410A in 9.52 mm copper tube, the thermal balance error of the experiment is less than 5%. The experiment platform can realize heat exchange experiments with different refrigerants, and the test section of the experiment platform can be standardized replacement of tube types according to research needs.
Key Technologies of Intelligent Debugging Platform for the Whole Process of Automation System
Authors: Zhai Y , Yang Q J , Ji X C , Xu T P , Tao S C 
Published: March 2021

Abstract
Based on the smart dispatching support system and the smart substation system, and based on the functional requirements of the dispatching center to the substation, a source maintenance plan of integrated sharing of model, graphical and communication points between the smart substation and the dispatching center is proposed, and the traditional source maintenance process is optimized according to the actual requirements. According to the plan, an intelligent debugging platform for the whole process of the automation system is developed, and a new mode of smart substation access dispatching center is explored. In this paper, the key technologies of the debugging platform are introduced from the aspects of primary equipment model transformation, primary equipment and measurement association, automatic generation of RCD file, and online master sub - station communication point checklist technology.
Uncertainty Analysis in the Power Grid Operation with Renewable Energy Generations
Authors: Fei M , Zhu J Z 
Published: March 2021

Abstract
The renewable energy sources such as wind power and solar energy are widely connected to the current power network. The proportion of the renewable resources to the entire energy sources in the power grid is increasing. Since wind power and solar energy are intermittent, which have more uncertain factors, power grid operation is being impacted by generation of the renewable energy sources. Especially in the area of power balance and dispatch. Severe power imbalance, which causes the huge frequency deviation, will lead to the stability of power system. Therefore, it is very important to deal with the uncertainties of renewable energy. The existing deterministic approaches are not sufficient to deal with the uncertain factors. This paper analyzes the effect of renewable energy uncertainties in power grid operation based on the fuzzy theory and probabilistic methods. The steady-state security analysis is taken as an example to handle renewable energy uncertainty in power grid operation.
Analysis and Simulation of Ferroresonance Mechanism of Potential Transformer Based on Harmonic Balance Method
Authors: Gao H , Yang P W , Liu C H , Zhang J S , Wu T 
Published: March 2021

Abstract
In power systems with voltage levels of 66kV and below, the bus potential transformer (PT) burnout accidents frequently occur. Based on the harmonic balance method, this paper analyzes the ferromagnetic resonance mechanism, and analyzes the fault waveform recorded by the fault recording system in the 66kV substation, and obtains the possible cause of the accident. The PSCAD/EMTDC software was used to build the electromagnetic transient model, and the PT burnout process was restored. It is concluded that the main cause of the accident is the ferromagnetic resonance overvoltage caused by the saturation of the PT iron core. Three solutions are also proposed, the PT primary side neutral point ground by nonlinear resistance, open triangle of PT short-time access a little resistance, and PT with better excitation characteristics are selected. The feasibility of the solutions is verified by simulation.
Efficient Thermoelectric Transformation of Daily Thermal Fluctuations into Electricity
Authors: Madruga S 
Published: March 2021

Abstract
We present an enhanced micro-energy harvester design that couples a thermoelectric module to a heat storage unit formed by a Phase Change Material embedded within a metallic foam. The effect of the thermal resistance between the thermoelectric material and the ambient is investigated through an effective heat transfer coefficient. A case study is analyzed to transform daily thermal fluctuations into electricity during a full day on ground conditions in a Southern Hemisphere typical winter day, using hexadecane as PCM and aluminium as metallic foam. For base PCM as a heat storage unit, the micro-harvester generates 0.01 J after a full day of operation. However, the metallic foam multiplies the electric energy production: from 0.23 J for ∈ = 0.95 to 0.49 J for ∈ = 0.85. Importantly, the relative boost in electric energy production is robust across a wide range of thermal resistance loads.
Research on Reactive Power Compensation Configuration of Wind Farm Integration
Authors: Wang J F , Chen C F , Zhang S , Ren Z , Chen X L , Wang X Y 
Published: March 2021

Abstract
The large-scale wind power integration into power system brings great impact on the grid voltage stability. In order to reduce the influences of grid-connected wind power on the power system and improve the safety of wind power integration, it is necessary to conduct research on reactive power compensation configuration of wind farm integration. Firstly, based on the actual situation of wind power project, the principle of reactive power compensation configuration is studied. Secondly, a theoretical calculation method of reactive power compensation configuration is proposed. On this basis, combined with the practical 300MW wind farm project, the reactive power compensation configuration example is analyzed. Finally, through the modeling and simulation by power system analysis software package (PSASP), the accuracy and effectiveness of the calculation method proposed by this paper are verified. This paper put forward a reactive power compensation configuration method which is applicable to all wind farms connected to the power system. This provides important support for voltage stability in the wind power integration project.
The mechanism of guarana regulating central nervous system based on network pharmacology and molecular docking
Authors: Liu Yunfeng , Shen Xingang , Gao Ling , Qiu Zhaozhi , Wang Yueqin , Liu Ying , Chen Lihua , Wu Jun 
Published: March 2021

Abstract
This study aims to explore the mechanism of guarana on central nervous system based on network pharmacology and to verify the results by molecular docking technique. The chemical constituents of guarana were collected through the chemical specialty database and TCMSP database, and the targets were predicted, the component-target network map was constructed, the protein interaction network map (PPI) and target-pathway map were constructed, the targets contained in guarana and common targets related to the regulation of central nervous system were screened, GO and KEGG analysis of common target were performed. In the result, the component-target network contains 13 components, 79 targets, 8 of these targets may be the core targets of guarana in regulating the central nervous system. The main biological processes include cAMP signalling pathway, P13K-Akt signalling pathway, calcium signalling pathway, Rap1 signalling pathway and so on. In conclusion, guarana plays a role in regulating the central nervous system through multi-target and multi-pathway. Through the analysis of its core network, it is found that the core efficacy of guarana may focus on anti-fatigue.
Exploring the relationship between agricultural technological progress, economic development and carbon emissions based on province data from the western region
Authors: Wang Hu-Cheng , Yang Wei-Lin 
Published: March 2021

Abstract
As the world’s largest emitter of greenhouse gases, China is currently facing severe pressure to reduce emissions. As a large agricultural country, its agricultural carbon emissions accounted for 17% of total carbon emissions in recent years, which is much higher than the international average. It is urgent to control agricultural carbon emissions. At the same time, the development of agriculture is inseparable from the support of agricultural science and technology, and the progress of agricultural science and technology is also the source of power for agricultural economic growth. This article uses Stata 12.0 to study agricultural carbon emissions, agricultural technological progress and agricultural economic development in western provinces in China. The results show that the progress of agricultural science and technology plays an important role in the development of low-carbon agriculture. It can not only help reduce agricultural carbon emissions, but also promote the development of agricultural economy, providing an important reference for the development of low-carbon agriculture.
Analysis on natural influencing factors of groundwater depth in Dengkou County and forecast of its variation trend
Authors: Huang Yuan , Yue Depeng , Wen Yali 
Published: March 2021

Abstract
To reveal the main natural factors that influences groundwater depth of Dengkou county and predict the variation trend of groundwater depth, this thesis, based on the principal component analysis (PCA), conducts analysis on natural factors that are likely to affect the groundwater depth, and establishes a multiple linear regression model to show the quantitative relationship between the main natural factors and the groundwater depth. Then grey prediction method is adopted to predict possible change of main natural influence factors in the coming five years with employment of multivariate regression equation for further fitting. Results: Among the selected natural influencing factors, the most influential one is evaporation, followed by air temperature and sunshine hours, which are negatively correlated with groundwater depth, and the reason for this is related to the flood season of Yellow River. Relative humidity and precipitation have little influence on groundwater depth. According to the grey prediction results, the temperature, evaporation and sunshine duration will all be on the rise in the coming five years, and the average groundwater level will also increase slowly. The average depth of groundwater in summer is about 2.5m. Due to local dry climate and vigorous evaporation, secondary salinization of the land is likely to occur. Especially, the water level in the irrigation area of the Yellow River is generally high, deserving enhanced vigilance. This paper has reference significance for the ecological construction & planning of Dengkou County in the next five years.
Application of cooperative learning method in classroom teaching of Plant Protection—— taking the main pathogenic species and disease types of plant diseases as an example
Authors: Lian Lele , Zhang Ruifang , Chen Xuelin 
Published: March 2021

Abstract
With the deepening of the new curriculum reform, cooperative learning is adopted in order to improve students’ interest in learning. The observation group used group cooperation for communication and discussion, and the control group used traditional indoctrination teaching for comparison. After that, 30 students were randomly selected in both classes for paper examination and questionnaire survey. The results showed that there were significant differences between the horticulture classes and the garden classes (P<0.01). In conclusion, the cooperative learning can effectively improve students’ achievement and interest in learning, strengthen the teaching concept of taking students as the main body, promote the cultivation of students’ core quality, and provide relevant teaching suggestions for front-line teachers.
Model of a domain-specific profiling system based on Explainable AI technologies
Authors: Antonov V.V. , Kharisova Z.I. , Rodionova L.E. , Kulikov G.G. 
Published: March 2021

Abstract
The article offers a system model of intelligent profiling system that opens up opportunities for both staff selection and effective training and rotation of existing employees of the organization. To implement this paradigm, state registers of open information resources are defined and created. From the point of view of science, the system model corresponds to the structure of the expert system of explainable artificial intelligence (XAI), which has the task of forming many solutions. The task is set to provide validation and verification of the models taking into account the uncertainty. The tool to improve this approach is a software analytical complex, the development and implementation of which will allow to search and effective analysis of data, forming indicators for their subsequent use in decision-making in the management of organization processes. Presentation of knowledge about the subject area under study in the form of system model allows applying formal logical rules, graphoanalytic metalanguage and rules for development and design of program analytical complexes.
Duality of artificial intelligence technologies in assessing cyber security risk
Authors: Romancheva N I 
Published: March 2021

Abstract
Issues of estimation of information technologies influence on information security were and remain issues of special importance. During the pandemic 2020 over one million effects on structures including CII were registered, where all of them were related to application of modern technologies including those based on artificial intelligence. Extensive penetration of intellectual intelligence systems and of “smart” (end-to-end) technologies urges for revision of approaches to cyber security risk assessment. Application of the latest technologies in cyber security risk assessment creates new options on the one hand, and represents new threats from another. Under cyber security risk assessment we shall understand an integral index of information safety achievement in terms that cannot be easily predicted, such as complicity, uncertainty, inability to foresee, lack of stability. On that basis this work aims to analyze influence of artificial intelligent technologies on information security indexes in risk assessment in terms of VUCA-world. This paper proposes an approach for creating a model of duality assessment for such technologies in cyber security e risk assessment with games theory applied.
Graphical data processing in the Clinical Decision Making System for the Respiratory Diseases Diagnosis using ML methods
Authors: Shakhmametova G R , Yusupova N I , Evgrafov A A , Kh Zulkarneev R 
Published: March 2021

Abstract
This article considers the basic algorithm of graphic data extraction used in the developed system of clinical decision-making in diagnosis of respiratory diseases, methods for processing files in JPEG and DICOM formats, visualizing and preprocessing images as well as constructing neural network models based on a convolutional neural network that provide detection symptoms of pneumonia in patients based on radiographs. Data extraction and processing are performed in the “Python” programming language using additional libraries: “pydicom” for processing DICOM files. “Pillow” for visualization, “Keras” for building a convolutional neural network model. The relevance of the task is due to the large volumes of graphical data supplied to the input of the CDSS and necessary for its effective functioning. The novelty of this development lies in the application of a set of existing and development of new algorithms for extracting and processing graphic information.