bluuebunny/crossref_metadata_2025_split huggingface dataset:
Operation Mechanism and Evaluation of Carbon Market in Electricity Industry: A Review of its Current Status and Future Perspectives
Authors: Sun Shuanzhu , Zhou Chunlei 
Published: August 2019

Abstract
The current EU carbon trading market and the RGGI carbon market are relatively successful. Therefore, after studying the EU and RGGI thermal power units participating in carbon trading, it is of positive significance for formulating emission patterns in line with China’s thermal power units. Through the international experience of the carbon trading market, we will build China’s carbon trading market.
Research on carbon emission quota allocation in power industry
Authors: Li Meng , Wang Peng 
Published: August 2019

Abstract
China’s power supply structure is dominated by coal-fired power and has high carbon emission characteristics. The carbon emissions in the power industry account for more than 40% of national total carbon emission. Therefore, the implementation of carbon emission quota trading in the power industry is of great significance to achieve China’s national carbon emission reduction targets. In this paper, a carbon emission quota allocation scheme is determined based on the “historical law” or “baseline method” or a combination of the two, according to carbon market pilot experiences. Then combined with the actual situation of carbon emissions in the power industry and the effect of the allocation plan on carbon emission reduction, we determined the specific carbon quota indicators of the thermal power unit. Finally, the final carbon emission quota allocation solution reflects both the equity and efficiency principles in China’s power industry.
The Parameter Optimization of Regenerative-reheat System in Pressurized Water Reactor Nuclear Power Plant
Authors: Wang Cheng , Sun Haijun , Gao Shan , Cheng Kun , Fang Yuan 
Published: August 2019

Abstract
Regenerative-reheat system is the core of the thermal system of pressurized water reactor nuclear power plant (PWR NPP), which determines the economy of the unit directly. A mathematical model of regenerative-reheat system of a typical 900 MW nuclear power plant is established and validated. Given the bounding condition group, the regenerative-reheat system optimization is carried out by using the hybrid genetic algorithm to optimize the flow of extraction steam. The results show that the output power increases 7.84MW in the optimized scheme, which effectively reduces the nuclear fuel consumption and demonstrates the capability of the optimization method in improving the economy of the NPP.
Design and Implementation of Energy Saving System for Electric Propulsion of Unmanned Vehicle
Authors: Tu Ya 
Published: August 2019

Abstract
Ocean exploration technology has become a key technology in the research and development of countries all over the world. As a new intelligent platform for ocean exploration, unmanned ship has also become one of the important equipment of ocean exploration technology. At the same time, in response to the call of global green energy, the application of energy-saving technology and new energy schemes in unmanned ship electric propulsion system has increasingly become a hot area of ocean exploration technology. In this paper, the electric propulsion system of unmanned ship is designed based on photovoltaic technology, and the mathematical modeling and simulation experiments of the system are carried out. The experimental results show that the proposed UAV electric propulsion system has obvious advantages in energy saving compared with the traditional UAV electric propulsion system. At the same time, the energy-saving electric propulsion system proposed in this paper also has strong dynamic performance and stability performance.
Research on LNG Vehicle Refrigeration Using Waste Cold Energy
Authors: Chen Shuyi , Chen Gang , Cui Wei 
Published: August 2019

Abstract
In order to protect environment, traditional fuel car will be replaced by new energy car. LNG is one of the new energy that be used widely now. On the other hand, vehicle refrigerator is being used diffusely. Traditional vehicle refrigerator need automobile engine to provide extra electric energy to support its work. Indirectly, it will consume more fuel. According to the circumstance that car works, we study basic theory and experiment about recover the cold energy that LNG release during the gasification process to cooling the refrigerator. And provide theoretical direction to invent LNG zero energy vehicle refrigerator.
Analysis of Electricity Consumption and Kinetic Energy Index in Fujian
Authors: Xiang Kangli , Qiu Xiangjing , Xun Chao , Liu Lin , Chen Shanglong 
Published: August 2019

Abstract
The growth situation of emerging industries and new kinetic energy can be reflected by improving the statistical system of the “three new” industries. New ideas for the study of the “three new” industries are provided by the statistical analysis based on power big data. This paper studied the power big data of 2,084 “new industry” enterprises in Fujian province from 2014 to 2018. The research is divided into “new industry” electricity consumption analysis and “new industry” kinetic energy index research. First, the analysis is made for development trend, proportion, seasonal trend, different region and industry’s electricity characteristics of the electricity consumption in new industries. Second, the indicator system of “new industry” in Fujian is constructed. The results showed that,” new industries” are booming in Fujian province, but the momentum for development has weakened in 2018.
Big Data Storage Technology suitable for the Operation and Maintenance of New Generation Power Grid Dispatching Control System Operation
Authors: Zhang Yin , Lang Yansheng , Yang Song , Zhao Kun , Liu Peng , Han Feng 
Published: August 2019

Abstract
The new generation of power grid dispatching control system draws on the cloud computing concept for reference, adopts a new overall architecture of “physically distributed and logically uniform”. It applies a large number of new technologies, enhances the relevance of various applications of the new system, and rapidly expands the application data scale, making the operation and maintenance of the power grid dispatching control system increasingly complicated. At present, the State Grid Corporation of China is carrying out research on operation and maintenance technology of dispatching control system based on historical big data mining. In the face of the collection and aggregation of a large number of operation history data and operation indexes of dispatching control system, the traditional relational database is facing great challenges. This paper discusses the data storage technology supporting big data, and through analyzing the characteristics of big data storage and the existing typical databases of NO SQL and NewSQL, puts forward a data storage technology that can meet the needs of mass operation and maintenance data storage and high-speed access of the new generation of power grid dispatching control system.
Prediction on China’s Energy Consumption Demand Trend Based on Bayesian Theorem
Authors: Gao Chunjiao , Lian Yinghui 
Published: August 2019

Abstract
This paper applies SAS software for data mining and takes the energy consumption data from 2000 to 2015 as the training set and the corresponding data from 2016 to 2017 as comparative set. Due to the exponentially fluctuation of data, the author sets a nonlinear modified exponential rudimentary model, which, when combined with white noise experiment and diagrammatic figure analysis, the model’s fitting effect can be inferred. The result shows that the data extraction of the model is not sufficient enough so that the model should be improved. Seen in that light, the author tries to do dimensionality reduction and differential processing to the original sequence and applies the classical time series ARIMA model for adjustment. It comes out that the fitted model should be ARIMA(4,2,1). The solved result illustrates that the information of the model has been well and sufficiently extracted. After that, the Bayesian model is constructed by taking the estimated parameters of the time series ARIMA model as priori information. The prediction effects of the three models are finally evaluated by Mean Absolute Percentage Error (MAPE) and Root-mean-square Error (RMSE). The result shows that the prediction effect of Bayesian model is somehow superior to that of single time series model. According to the prediction result of Bayesian model based on prior robust, the general demand for energy consumption in China during the 13th Five-Year Plan period tends to climb by a small margin.
Application Research on Ship Diesel Engine Condition Assessment System
Authors: Ma Chao , Chen Long , Zhao Gang 
Published: August 2019

Abstract
In order to promote the development of intelligent ships, accelerate the application research of intelligent technology engineering, and build an intelligent information platform for big data fusion environment based on ship safety, economy and intelligence, it has become an important development direction in the industry. In the process of research and study on the existing methods of ship dynamic system state assessment, this paper applies the rough set theory and DS evidence theory to the application of ship dynamic system state assessment, and builds a ship dynamic system based on rough set theory and DS evidence theory. The state assessment model, and a detailed description of the assessment method, is used to verify the feasibility of the ship instance. Finally, the article uses Visual C# language and MATLAB mathematics tools to carry out systematic experiments on ship power system state assessment.
Studying on the Optimum Frequency of Driving Voltage of Electro-osmotic
Authors: Wang Chunsheng , Wu Shibin , Shang Dongxing 
Published: August 2019

Abstract
Electro-osmotic actuation is an effective method of mixing micro-scale fluids. In this paper, an annular micro-channel mixing model, in which electro-osmosis are used to mix fluids, is established to simulate fluid mixing condition. Simulation results show that for fixed flow parameters, there is a supply frequency that can optimize the mixing efficiency. As the frequency increases, the mixing efficiency increases firstly and then decreases. The optimal mixing efficiency is about 95% at the frequency of 25 Hz. Furthermore, the influence of flow velocity, electrode position and voltage amplitude on the optimal frequency is proposed, and the physical mechanisms are discussed. Numerical analysis shows the electro-osmotic of electric field can produce a vortex, which can increase the mixing efficiency in micro-channels effectively. The mixing efficiency can be improved by increasing voltage amplitude and the electrode gap. When the velocity of fluids increases, the residence time of particles decreases, the frequency of optimization will increase accordingly.
Effect of Different Solar Irradiance Parameters on Reliability Evaluation of the Grid
Authors: Cheng Simeng , Xie Yimiao , Shu Zhan , Wang Yulin , Ning Zhou , Yang Yue 
Published: August 2019

Abstract
Large-Scale volatility photovoltaic grid-connected which will have a profound impact on the reliability of the system. A new method based on maximum likelihood estimation is presented in this paper in which probabilistic distribution of solar irradiance is calculated on the premise of solar irradiance beta distribution, according to volatility and intermittent characteristics of photovoltaic, and simulated the actual solar irradiance which affecting power output of photovoltaic based on Monte Carlo method, then, Established a photovoltaic probability output model which can reflect the randomness output of photovoltaic; and use of the partitioning method, the reliability assessment of an interconnected generation system with photovoltaic connected with IEEE-RTS79 system is performed by Monte Carlo simulation; The results show that there have a contribution on reliability evaluation of the grid when connected on determined location and under a certain load level; also the example show the influence of different parameters of solar irradiation on system reliability indicators and the result show different parameters of beta distribution have a great impact on grid reliability indicators.
Research on Test of Key Parameters of On-Load Tap-Changer in Transformer
Authors: Gu Lingyun , Shi Changkai , Wu Yan , Bai Xuefeng , Li Pengcheng 
Published: August 2019

Abstract
There are two main testing methods for the key parameters of the transformer on-load tap changer. One is the DC test method and the other is the AC test method. Based on the AC test method for on-load tap changer key parameters, a new test scheme was proposed. The on-load tap changer switching operation of the transformer can be simulated by establishing a model. The waveforms of the transitional AC current and the testing AC voltage are stored and preprocessed. Then the transitional AC current is equivalent to DC components through the Park transformation. By using the off-line identification algorithm, the transient stage of the transformer on-load tap changers can be determined and the transition resistance value can be accurately calculated.
Study on Flow Distribution Characteristics of Reactor Passive Residual Heat Removal System
Authors: Yuan Tianhong , Cai Qi , Yu Lei 
Published: August 2019

Abstract
During the passive residual heat removal system at the reactor primary loop (PRHRS) operation, the parallel pipeline is formed between the channels of PRHRS heat exchanger (HX) and steam generator (SG), and the later flow is large, which has a bypass effect on the former flow. Based on one-dimensional N-S equation, a theoretical model is established to describe the flow distribution characteristics of this parallel pipeline. To verify the model, the AP1000 PRHRS is taken as an example, and the results calculated by the model are compared with that of RELAP5 numerical simulation, the error of which is no more than 5%. Based on the model, the flow distribution characteristics of the parallel line are analyzed. The results show that, due to the large flow area and small flow resistance, the SG channel flow is much bigger than the HX channel flow after PRHRS is activated. Because this phenomenon has a great effect on the capacity of PRHRS, it’s necessary to be further analyzed.
Sequential Power Flow Calculation of AC/DC Hybrid System Considering Converter Station Loss and Its Capacity Constraints
Authors: Zhu Yuxin , Wang Xiaolan , Zhang Lu , He Naixing 
Published: August 2019

Abstract
In the power flow calculation of AC/DC hybrid distribution network, the loss and capacity of the converter station have a great influence on the power flow calculation, and the AC/DC alternately solves the power flow, which has the disadvantage of poor convergence performance. In this paper, the power flow model of AC/DC hybrid distribution network with VSC is established. The loss mechanism of the converter station is analyzed and the capacity limit of the converter station is fully considered. The sequential power flow algorithm with VSC AC-DC hybrid distribution network is proposed. Its convergence performance is improved. In the improved 33-node AC/DC hybrid power distribution network with multiple types of DG, the correctness, effectiveness and algorithm fastness of the algorithm are verified.
Simulation Research of Frequency Modulation Control Based on PID
Authors: Liu Zhijian , Chen Xiaoya , Luo Linglin , Wang Yanhong , Liu Xiaoxin , Yu Sha 
Published: August 2019

Abstract
When the balance of power system is broken, the frequency of power system will be deviated. Induction motors are mostly used in industry. Frequency is closely related to the change of speed and output power. Firstly, this paper focuses on the analysis of the mathematical model of the inter-regional tie-line and deduces the Laplace transform of the power variation of the tie-line. The physical model is established to analyse. The fluctuation of the two regions and the interconnected power grid is obtained. The operating point will change in the case of disturbance. The relationship between the switching power deviation of tie-line and the disturbance position point. Through the simulation of the classical two-zone model, the simulation effect of the PID controller is better than that of the conventional controller. The control effect is remarkable, which provides a certain basis for later research. The ideal adjustment parameters of the PID controller are obtained by trial-and-error method. The dynamic and robust performances of the AGC system are further verified by simulation.
Research on photovoltaic power generation system based on power electronics
Authors: Di Miao , Zhang Xuezheng , Zhang Yunhui 
Published: August 2019

Abstract
This paper introduces the DC power obtained from photovoltaic power generation, and then boosts it by the boost chopper circuit. Finally, it is inverted by a single-phase full-bridge inverter circuit into 220V, 50Hz single-phase AC power that meets the normal working requirements of household appliances. Give the load. Among them, the inverter is the most important part, which can convert direct current into alternating current. Before this, it is necessary to increase the DC voltage through a boost chopper circuit and then invert it.
Research on Power System Harmonic Suppression Method of Active Filter
Authors: Di Miao , Zhang Xuezheng , Zhang Yunhui 
Published: August 2019

Abstract
The active filter has different connection methods, and the methods used are also various. With the deepening of research, more novel filtering methods are proposed and applied, which enhances the efficiency and rapidity of filtering. At present, China has made great progress in harmonic suppression. In the face of the fact that harmonic problems are becoming more and more serious, the research of filtering technology and the popularization and application of filtering equipment are urgently needed.
Analysis of Eddy-Current Loss and its Reduction in a Conduction-Cooled HTS Magnet
Authors: Ji Kai , Long Wenfeng , He Jinping , Zheng Jun 
Published: August 2019

Abstract
Since conduction cooling system is environmental friendly and easy operating, the conduction-cooled method is widely used in cryogenic cooling system of high-temperature superconducting (HTS) magnet. The eddy-current losses are generated in the cooling structures when HTS magnet is charging and discharging or the current in the magnet is alternating. In this paper, a 3D model of analyzing the eddy-current loss was built. The eddy-current losses of a HTS magnet with different cooling structures were calculated. Thermal analysis of the HTS magnet was carried out together with the electromagnetic analysis. The effect of the cooling structures’ geometric parameters on the eddy-current losses was discussed. The methods of reducing the eddy-current loss were proposed. The analysis results demonstrate that the optimization of the geometric parameters would greatly benefit the reduction of the eddy-current losses.
Research on an On-site Detection System of Electric Vehicle Charging Facilities
Authors: Liu Zisheng , Wang Ling , Zhao Shuaishuai , Yan Xiangwu 
Published: August 2019

Abstract
With the continuous development and promotion of electric vehicles, the safety and reliability of electric vehicle charging facilities are paid more attention. In order to serve users better, this paper analyzes the existing charging facilities and clarifies the technical requirements for on-site detection, and an on-site detection system of electric vehicle charging facilities is proposed based on the analysis. The practical application proves that the system can detect the electrical performance, protection characteristics and restriction characteristics effectively, which could provide reference for the operation and maintenance of the charging facilities.
Determination of the Most Energy-saving Traction Speed Based on UAS Simulation
Authors: Feng Jiahui , Zhou Hongyu , Shen Jun , Liu Cheng , Wang Qingyuan 
Published: August 2019

Abstract
During the operation of EMU, the power supply network will be cut off and the train power will be lost due to bad weather, high voltage cable dropping off, catenary failure and power supply system failure, which will cause the whole train line to be stopped and a large number of passengers to be detained, causing serious harm. Therefore, the Emergency Guidance (UAS) simulation software for EMU is developed based on the QT platform, and a lot of simulations are carried out under different initial battery power, different traction constant speed and different operation modes. Based on the simulation data, the main energy consumption models of trains and the models of total operation energy consumption and traction constant speed under time-first operation mode are established, which can be found from the models. The constant speed of traction with the least energy consumption can help the driver to drive energy-saving and reduce unnecessary energy consumption. Finally, the model is validated and evaluated, which can be well applied to general situations. The simulation has good application prospects in the construction of energy-saving intelligent high-speed railway in the future.
Effect of calcination temperatures on ammonia selective catalytic oxidation by Cu/SSZ-13 catalysts
Authors: Guo Jingjing , Li Junhua 
Published: August 2019

Abstract
The Cu/SSZ-13 catalysts prepared by the impregnation method were applied to ammonia selective catalytic oxidation (NH3-SCO). The effect of the calcination temperature on the catalytic performance was inverstigated. The structural and physico-chemical properties of the catalysts were investigated by XRD, N2 adsorption-desorption isotherms, XPS, NH3-TPD and H2-TPR. It is found that the increase of calcination temperature favors the ammonia conversion at low temperatures. Meanwhile, overhigh calcination temperature (>500 °C) would lead to the decrease of catalytic activity. The Cu/SSZ-13-500 catalyst shows the highest catalytic performance and exhibits more than 70% NH3 conversion at 200 °C. The NH3-TPD and H2-TPR results confirmed that Cu/SSZ-13-500 owned more Lewis acid sites and CuO species, which were beneficial for ammonia adsorption and activation.
A new synthesis method of ultrathin Zn-Al layered double hydroxide with super adsorption capacity
Authors: Nie Qing , Ma Jiami , Xie Yafan 
Published: August 2019

Abstract
Layered double hydroxide (LDH) is a kind of stratiform compound with a large specific surface area and strong adsorption capacity, which is widely used in printing and dyeing wastewater treatment. Herein, we synthesized ultrathin Zn-Al LDH (U-Zn-Al LDH) by temperature-assisted intercalation exfoliation strategy using sodium dodecyl benzene sulfonate (SDBS) at 80 ° C. The thickness of the obtained U-Zn-Al LDH was about 4.5 nm and it featured higher specific surface area (49.5 m2/g) as compared to the pristine sample (26.6 m2/g). As a result, U-Zn-Al LDH exhibited higher adsorption activity of methyl orange (MO) dye. Furthermore, the possibly existed defects during the ultrathining process changed the adsorption mode of MO, resulting in a vertical and ordered configuration of MO on U-Zn-Al LDH, which was another reason for its higher adsorption capacity.
Hydrothermal conversion of microalgae into N-containing compounds
Authors: Zhu Yanjie , Yang Yang , Wang Xiaoguang , Jin Fangming , Zhong Heng 
Published: August 2019

AbstractWith the respect to the depletion of fossil fuels, numerous approaches have been developed to mitigate the problem, among which production of chemicals from microalgae is a substantially new way to contribute to the economic viability. In the present study, one new and straightforward method for the conversion of microalgae into nitrogen-containing compounds such as 2-pyrrolidone under hydrothermal conditions was demonstrated. Furthermore, protein in microalgae was proved to be the source of N-containing compounds production.