bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on biological sealing for openings in nuclear power plant
Authors: He Weiting , Feng Zhenhu , Chen Li 
Published: March 2021

Abstract
Civil opening sealing is an important work during the construction stage of nuclear power projects, which directly affects the follow-up nuclear cleaning and system transferred to commissioning. The sealing of biological shielding openings mainly exists in the walls and floors across the boundary of the nuclear island buildings, which is with great significance to ensure the integrity of the boundary function of the radiation zone. The configurations for openings in concrete shield walls shall provide adequate attenuation to reduce the exposure of the workers. Through the research of the biological sealing for civil opening and the investigation of good practice for foreign nuclear facilities, the purpose of this paper is to optimize the opening sealing scheme based on construction and operation experience, and give the guidance for the construction application and save the cost for the nuclear project.
Analysis and optimization of coil structure of magnetic circuit mechanism for electric vehicle wireless charging system
Authors: Wang Songcen , Xu Chong , Wei Bin , Xu Jinxing , Yin Jiacheng , Xia Chenyang 
Published: March 2021

Abstract
To improve the efficiency of the electric vehicle wireless charging system, an optimization design method for the number of coil layers is proposed and studied, which effectively improves the coupling coefficient of the magnetic circuit mechanism. This article first analyzes the energy efficiency characteristics of the wireless charging system for electric vehicles. Then, it analyzes the inductance value changes and magnetic field distribution characteristics of fixed turns coils under different layers. The finite element simulation results performed by MAXWELL show that inducing the number of primary coil layers and increasing the number of secondary coil layers are conducive to the improvement of the coupling coefficient between the coils. Then, based on the theoretical analysis results, the number of coil turns of each layer of the multilayer coil is analyzed and optimized, and a bowl-shaped pair multilayer coil winding method is proposed.
Prediction of dissolved gas in power transformer oil based on LSTM-GA
Authors: Zhang Xin , Wang Shengyuan , Jiang Yijun , Wu Feifei , Sun Chenming 
Published: March 2021

Abstract
Because the change process of the content of dissolved gas in transformer oil is fluctuating and is affected by many factors such as oil temperature and external environment, the gas content does not increase exponentially and is nonlinear and non-stationary. This feature determines the current Prediction technology cannot accurately predict the concentration of dissolved gas in transformer oil. To improve the prediction accuracy of the dissolved gas content in the transformer oil, more accurately evaluate the transformer status and customize the entire preventive plan under the alarming development trend of the transformer, to minimize the prediction error, this paper proposes a transformer combining genetic algorithm and long short-term memory (LSTM)neural network Prediction model of dissolved gas content in oil. The genetic algorithm (GA) is used to optimize look back(lb), lstm nets(ls), epochs(ep), and the dropout(dp), and then the genetic algorithm is combined with the long short-term memory neural network. The gas content is predicted. This model overcomes the problem of low prediction accuracy caused by selecting parameters based on experience. The analysis result of the calculation example shows that compared with the traditional prediction algorithm, the proposed method can better track the change law of the dissolved gas concentration in the oil, improve the prediction accuracy, and provide a strong guarantee for the safe and stable operation of power transformers.
Ecological evaluation of Zhoushan economy based on emergy indices
Authors: Wang Laidi , Zhao Sheng , Gui Feng 
Published: March 2021

Abstract
Cities economy is an important pattern for the region to realize the transition of sustainable development. Scientific evaluation of the development of economy is the decision-making foundation to further promote sustainable development. This paper provides an integrated study on the ecological account of Zhoushan city economy with the data from 1995 to 2010 based on emergy synthesis theory. Through evaluating environment and economic inputs within and outside the Zhoushan economy, the Zhoushan’s resource structure, economics situation and trade status and its sustainability are discussed based on a series of emergy indicators. In this study we used five types of emergy indicators or ratios to assess the sustainability of system, Emergy Intensity (Els), Economic Efficiency, Environmental Efficiency, Emergy Sustainability Index and Source Diversity. The energy value per unit area of Zhoushan City increased from 4.51E+11 sej/m2 in 1995 to 1.46E+12 sej/m2 in 2010, with an average annual growth rate of 12%, which was 3.2 times that of 1995. During the 12-year study period, the per capita emergy value in Zhoushan increased from 1.02E+16 sej/person in 1995 to 3.36E+16 sej/person in 2010, which was 3.29 times that of 1995. Zhoushan’s emergy currency ratio dropped from 1.13E+21 sej / $ in 1995 to 3.41E+20 sej / $ in 2010. The emergy output rate of Zhoushan City dropped from 14.18 in 1995 to 12.99 in 2010, indicating that the economic system needs more emergy flows to provide enough goods and services for the society. The Environmental Loading Ratio (ELR) increased rapidly from 0.10 in 1995 to 1.80 in 2010. The emergy sustainability index (ESI) of Zhoushan was declined from 145.11 in 1995 to 7.23 in 2010. The source diversity of Zhoushan was increased during the period 1995-2010, with the highest value of 0.7284 in 2007 and lowest of 0.5114 in 2000. These emergy based indexes are calculated here in order to provide a deeper understanding of complexity growth or decline in Zhoushan city.
Measuring the capacity utilization of China’s coal industry based on latent class stochastic frontier model
Authors: Ju Yanping 
Published: March 2021

Abstract
Due to the regional differences of coal resources storage and mining in China, the latent class stochastic frontier model is used to calculate the capacity utilization of coal industry from 2001 to 2016. The results show that China’s coal industry began to suffer from overcapacity in 2012, and capacity utilization dropped to 0.68 in 2016. The coal-producing provinces are grouped into four classes: abundant, moderate, poor and exhausted. The capacity utilization of coal industry in poor and exhausted classes are generally high and there is little room for improvement. After 2011, the capacity utilization of coal industry in rich and moderate classes showed an obvious trend of decline, falling to a low level in 2015∼2016. This indicates that there was a serious waste of resources in coal production of these province during this period. Capacity utilization of coal industry is sensitive to the economic development variable, while the market fluctuation make inter-provincial capacity utilization performance similar.
Benefit evaluation of power grid project based on matter-element extension model
Authors: Ye Qiang , Xu Weiting , Chen Bo , Wang Siqi , Wu Haoyu 
Published: March 2021

Abstract
Under the background of power market reform, power grid enterprises should continue to expand new business and new mode. Based on the background of power reform, this paper constructs the power grid evaluation index system considering the economic, technical and social aspects, and uses the variable weight theory to determine the weight of each index. The matter-element extension comprehensive evaluation model based on the ideal interval method is used to evaluate the benefits of power grid projects. It lays a theoretical foundation for the formulation of marketing strategy and the promotion of economic benefits of power grid company.
Forecasting the short-term urban gas daily demand in winter based on the XGBoost algorithm
Authors: Duan Yanzhi , Li Sensheng , Chen Shuiyin , Tan Qi , Chen Can , Wang Menghao 
Published: March 2021

Abstract
The share of natural gas in the primary energy consumption is continuously increasing. The urban gas plays a major part in the natural gas consumption in China, and thus the accurate prediction of the short-term urban gas daily demand in winter facilitates the healthy development of the natural gas consumption and helps to maintain the secure and appropriate urban gas supply. This paper thoroughly analyzed the factors affecting the urban gas demand in winter, introduced the XGBoost algorithm for the forecast, and made accurate predictions regarding the violently-fluctuating short-term urban gas daily demand in winter. In the simulation tests, the Root-Mean-Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) of the forecast made in the proposed model are 8.269 and 1.515%, respectively. Compared with other statistical algorithms and machine learning/artificial intelligence algorithms such as the multivariate regression, random forest and support vector machine, the proposed model has shown better fitting performance and higher prediction accuracy. Therefore, the XGBoost-based prediction model can provide references for the short-term urban gas daily demand forecasting.
Rapid economic evaluation technology for oil and gas development projects in Africa
Authors: Zou Qian , Wang Keming , Fa Guifang , Yin Xiuling , Peng Min 
Published: March 2021

Abstract
Africa is a key area for overseas oil and gas investment cooperation due to the low degree of oil and gas exploration and great resource potential. All oil and gas resource countries have certain common characteristics in contract modes, fiscal and tax terms, economic conditions, infrastructure and bidding methods. A theoretical system of rapid economic evaluation technology suitable for the characteristics of Africa can be established to provide the methods and basis for investment decisions of oil and gas development projects in Africa. In this paper, on the basis of a systematic study on oil contract modes in Africa and the legal terms, sales market, actual operations and evaluation and prediction parameters to be focused on, an economic evaluation index system has been established, including analysis framework establishment, financial benefit analysis and uncertainty analysis; finally, an oil and gas development project in Africa is taken as an example to verify the above-mentioned rapid economic evaluation technology. This technology system is applicable to economic evaluation of most oil and gas development projects in Africa, covering the possible factors, scenarios and problems in the process of project evaluation, facilitating the realization of a rapid and effective economic evaluation process and the achievement of scientific and reasonable results.
A research on line loss calculation based on BP neural network with genetic algorithm optimization
Authors: Jin Yukun , Li Zeng , Han Yipin , Li Xiaopeng , Li Pingting , Li Guangdi , Wang Hao 
Published: March 2021

Abstract
In order to realize the calculation of the line loss of the distribution network with complex structure and low-voltage station area, this paper presents a line loss calculation method based on BP neural network with genetic algorithm optimization. The proposed method is based on the actual operation data of the distribution network. Firstly, build an error back propagation (BP) neural network model to compute the theoretical line loss of the distribution network, then use genetic algorithm (GA) to optimize the neural network and establish the GA-BP model. Based on the proposed model, the calculation demonstrates that the neural network line loss rate calculation model with genetic algorithm optimization shows better performance than the single BP neural network model, such as better nonlinear fitting ability and higher calculation accuracy. Therefore, the line loss calculation method proposed in this paper based on the BP neural network with the genetic algorithm optimization can improve the accuracy of the distribution network line loss rate calculation model.
Electric vehicle dispatching in smart charging station: a pricing strategy
Authors: Zhao Xuliang , Xue Jiguang , Wu Tong , Xue Hong , Dong Sitong , Liu Yan 
Published: March 2021

Abstract
With the rapid development of electric vehicles (EVs), intelligent charging stations will surely become the focus of development. However, the disordered charging of electric vehicles will cause unbalanced resource utilization. Therefore, it is necessary to study the scheduling problem of electric vehicles in charging stations. In this paper, we propose a new electric vehicle dispatching method to realize balanced utilization of resources and high economic benefits. We model the multi-charging station pricing strategy problem as a non-cooperative continuous strategy game with an integrated objective combining charging cost and charging station capacity. Then the existence of Nash equilibrium is proved, and we combining particle swarm optimization with iterative search method to solve the equilibrium point. Finally, a numerical example is given to demonstrate the effectiveness of the proposed method.
Study on cross-space risk interaction mechanism in CPS system under network attack
Authors: Han Zhentao , Song Kun , Song Zhuoran , Chang Peng , He Xin , Duan Zhiyuan 
Published: March 2021

Abstract
Power Information-Physical Systems are at risk of cyberattacks. Based on the interaction mechanism of power information-physical fusion system across space risks under network attack, this paper first analyzes the operational characteristics of power information-physical fusion system, and studies the operating characteristics and structural characteristics of the system before the attack occurs. Secondly, the topological model of power information-physical fusion system is established, and the influence of CPS system structure vulnerability on the spread of network attack security risk is analyzed from the characteristics of power grid topology, and a method of quantifying vulnerability nodes in network is established. At the same time, considering the evolution process of risk in the cross-space environment, combined with the operational characteristics of information-physical fusion system, this paper deeply studies the process of interactive transmission of power grid information-physical system security risk under cyber attack, and analyzes the alternating propagation process of information side risk penetrating physical boundary to trigger physical side risk and lead to further expansion of risk. Finally, the simulation analysis is carried out through the IEEE-57 node test system.
Online full-parameter identification and SOC estimation of lithium-ion battery pack based on composite electrochemical - dual circuit polarization modeling
Authors: Shi Haotian , Wang Shunli , Fernandez Carlos , Yu Chunmei , Fan Yongcun , Cao Wen 
Published: March 2021

Abstract
A new composite electrochemistry-dual circuit polarization model (E-DCP) is proposed by combining the advantages of various electrochemical empirical models in this paper. Then, the multi-innovation least squares (MILS) algorithm is used to perform online full parameter identification for the E-DCP model in order to improve data usage efficiency and parameter identification accuracy. In addition, on the basis of the E-DCP model, the MILS and the extended Kalman filter (EKF) are combined to enhance the state estimation accuracy of the battery management system (BMS). Finally, the model and the algorithm are both verified through urban dynamometer driving schedule (UDDS) and the complex charge-discharge loop test. The results indicate that the accuracy of E-DCP is relatively high under different working conditions, and the errors of state of charge (SOC) estimation after the combination of MILS and EKF are all within 2.2%. This lays a concrete foundation for practical use of the BMS in the future.
Optimization and utilization of peak-shaving capability for water drive gas storage
Authors: Bi Yangyang , Liu Tuanhui , Xi Zengqiang , Huang Wenfeng , Xia Qing 
Published: March 2021

Abstract
To determine the reasonable gas injection and production quantity and to minimize the influence of water invasion on the operation of underground gas storage is one of the key factors to decide whether the water drive gas storage can fully exert its peak shaving ability. At present, gas reservoir engineering method is mainly used in China, which mainly reflects the operation of underground gas storage under the condition of less water invasion at the end of gas production, it cannot really reflect the influence of water invasion on the operation of underground gas storage under the condition of large injection-production volume. Through the numerical simulation and the research of the injection-production performance, it is clear that the main geological factors affecting the reasonable injection-production rate of the gas storage are the pressure of the gas storage, the properties of the reservoir, the distribution of gas and water and the radius of well control. Based on the reservoir changes of pressure, water yield, gas-water ratio, gas-water interface and saturation, and according to the influence of multi-period water invasion on the operation of gas storage, the optimization technology of peak shaving capacity of water drive gas reservoir is established, which successfully guides the optimization of injection-production operation of an underground gas storage in China. The result shows that after 5 cycles of operation, the gas injection displacement effect is successful, the gas production capacity is improved gradually, and the peak shaving capacity is 6.85 X 108m3 in 2019. The conclusion is that the optimization technology of peak shaving capacity is applicable to some extent, which provides theoretical basis and operating experience for the design of injection-production operation of the same type gas storage in China.
Residue of Rifaximin in Milk of Lactating Dairy Cows Following Administration of Intrauterine Infusion
Authors: Liu Jing , Jiang Lingyu , Zhang Jingju , Huang Huili , Li Xiubo , Xu Fei 
Published: March 2021

Abstract
In this article, a new intrauterine infusion containing rifaximin (RIF) was prepared, a sensitive UPLC-MS/MS method for the determination of RIF in milk was developed, and the residue of drug in milk of dairy cows was carried out. Twelve healthy dairy cows were selected by random and treated by RIF intrauterine infusion at a dosage of 25 g/head (contain RIF187.5 mg). Milk samples were collected before dosing (0 h) and at different time intervals (6, 9, 12, 18, 24, 36, 42, 48, 60, 72, and 96 h) after treatment. The results showed that the limit of detection(LOD) and limit of quantitation(LOQ) of UPLC-MS/MS were 0.5 ng/mL and 1.0 ng/mL, respectively. The residues of RIF in the milk samples from 6 h to 96 h after administration were not detected, which were lower than LOQ (1.0 ng/mL) and lower than maximum residue limits(MRLs) (60 ng/mL in milk). This study indicated that administration of RIF by uterine routine has a minimal distribution rate into the milk, and the RIF intrauterine infusion could be used in lactating cows with zero milk-withdrawal period.
Study on the Development and Utilization Model of Water Resources in Yihe River Basin
Authors: Jiao Zhen , Yang Shanshan , Xu Zhenghe , Pan Yi 
Published: March 2021

Abstract
The problem of water resource shortage has made many countries in the world face severe challenges. The reasonable water resource development and utilization model has increasingly become the research focus of each country. In this study, the Yihe river basin is taken as the research area. Based on the current water utilization status from 2001 to 2016, the fuzzy comprehensive evaluation model is used. Selecting five evaluation factors, including urbanization rate, ecological environment water consumption rate, per capita water consumption, surface water supply ratio and groundwater supply ratio, to study the regional water resource development and utilization model. The results show that both Linyi city and Zibo city in the Yihe river basin are more suitable for the joint development model of surface water and groundwater.
Analysis of Spatial and Temporal Variation of Land Use in Xiong’an New Area Based on Remote Sensing Data
Authors: Gao Pengcheng , Wang Shijie , Li Wei , Gao Xingyue 
Published: March 2021

AbstractAim to better plan the spatial layout of land use in Xiong’an New Area well, it is very important to research the land use in Xiong’an New Area. In view of Landsat5 TM data in 2009, Landsat8 OLI data in 2013 and 2017 in Xiong’an New Area, this research conducted necessary data processing and quantitatively studied the changes of land use in time and space in the past eight years in Xiong’an New Area by land utilization dynamic attitude model, transfer matrix and land use degree model. In addition, land use data in 2009 and 2017 were compared to determine specific changes in land use classifications. The consequences indicate that: From 2009 to 2017, the region of residential land in Xiong’an New Area increased significantly, the region of unused land extremely declined, and the region of cultivated land and woodland decreased slowly. From 2009 to 2017, the dynamic level of integrated annual change rate was 5.54%. Between 2009a-2013a and 2013a-2017a, the dynamic attitude towards comprehensive land use in Xiong’an New Area was 4.84 % and 8.73 %. The progress of the Xiong’an New Area in the latter four years had been faster than the previous four years.
Functional Fabric with Strain Sensing Based on Foam Finishing
Authors: Jiang Weidong , Ran Jianhua , Zeng Qi , Shen Hui , Li Haiyan , Bi Shuguang , Li Shiwei 
Published: March 2021

Abstract
Strain sensing is one of the core parts of smart fabric which can be expressed by electrical signals affected by external forces. In this paper, the strain sensing functional fabric was prepared by using the acidified carbon nanotubes (a-CNTs) as the conductive layer and the waterborne polyurethane (WPU) as the adhesive based on foam finishing method. The results showed that many hydroxyl and carboxyl groups were introduced into the surface of CNTs through acidification, which improved their dispersibility in aqueous solution. The blended film of a-CNTs and anionic WPU had excellent conductive properties. When the ratio of a-CNT to WPU was 9:1, the fabric had the smallest resistivity, about 0.13 Ω⋅m, and the corresponding tensile sensing sensitivity up to 55.2.