bluuebunny/crossref_metadata_2025_split huggingface dataset:
Based on regional integrated energy automatic demand response optimization scheduling of electric vehicle
Authors: Wang Fangsheng , Zheng Tao , Sun Bowen , Gao Jianwei , Yang Yu 
Published: March 2021

Abstract
Regional integrated energy system research is the current trend of energy development. Electric vehicle is an important part of the integrated energy system. Electric vehicle can realize the optimal allocation of energy by participating in automatic demand response (ADR). Therefore, this paper proposes based on regional integrated energy automatic demand response optimization scheduling of electric vehicle with based on the conditional value at risk with the utility function (UCVaR-based) electric vehicle response intention decision model under integrated energy system. Primarily, given both the electric vehicle’s advantage and the network load fluctuation, a based on regional integrated energy automatic demand response optimization scheduling of electric vehicle model is proposed. The price-based DR stage aims to minimize the charge/discharge cost. Minimizing the gap at the incentive-based demand response stage between the peak and valley load. Then, to quantify the risk attitude of an EV group, the UCVaR-based EV owner response willingness decision model is adopted. Specifically, prospect theory is used to calculate the utility value of electric vehicle owners. Finally, to check the feasibility of the proposed process, a case study is given. Results show that compared to the price-based demand response model, the model, which is proposed in this paper, decreased the average charging expense of electric vehicles by 49 percent and raised the gain by 19 percent.
Energy consumption forecasting using improved non-homogeneous exponential grey model
Authors: Zi Zhao 
Published: March 2021

Abstract
The classical non-homogeneous exponential grey model is a valid tool for accurate prediction with small samples. But the classical non-homogeneous exponential grey model needs to be improved for higher accuracy. In this paper, a new discrete non-homogeneous exponential grey model is proposed, and the background value of the new model is given by Simpson numerical integration formula. Further, the electricity consumption is given to validate the accuracy of the new model and the result illustrates the new model provides accurate prediction. In the example, the mean absolute percentage error is 2.14%. Finally, the new model is used to forecast the consumption of energy for China in 2025 and the result is 1076.08 million tons of standard coal. It is of great significance to make scientific decisions and plans on energy development.
Research on health assessment of electric power information system based on deep belief networks and cluster analysis
Authors: Xu Haiqing , Li Hongfa , Chen Shitong , Wu Xiaohua 
Published: March 2021

Abstract
It has been a hot issue for a long time to effectively ensure the safe and stable operation of the power service information system and make a reasonable evaluation of the healthy operation of the power service information system. Without relying too much on the subjective experience and scoring of experts, this paper introduces a health assessment method based on deep belief networks and cluster analysis for the power service information system. Firstly, cluster analysis is used to obtain corresponding cluster centers and evaluation index sets based on the selected evaluation indexes of the information system. Secondly, the entropy weight method is adopted to score different clustering categories and obtain the corresponding health evaluation categories. Finally, based on the score of the healthy operation, the samples are supervised and trained by the deep belief network model, and then the objective comprehensive evaluation of the system is completed. Experiment results show that this model is more accurate than traditional SVM, KNN, random forest and LSTM. The proposed model has theoretical significance and practical value for the healthy operation evaluation of the power service information system.
Trading strategy of virtual power plant considering the complementarity of multiple distributed resources
Authors: Tan Bin , Ma Xin , Liu Chang , Xing Zhaosen , Chen Shijie , Shen Xiaodong 
Published: March 2021

Abstract
With the aggravation of the energy crisis and the enhancement of people’s awareness of environmental protection, distributed energy in the distribution network is growing rapidly in recent years. In this case, the concept of a virtual power plant (VPP) is proposed. VPP aggregates the capacity of many diverse DERs. This paper mainly focuses on formulating the market trading strategy of VPP and the operation strategy of internal resources. Firstly, the basic concepts of VPP are introduced. Secondly, to compare with the proposed model, the traditional deterministic model is introduced. Finally, the robust optimization model is proposed, the objective function is to maximize the profit, the operation conditions of internal resources, and the rules of VPP and market as constraints. The results show that the proposed model can be used as an effective decision-making tool for VPP.
The fifth anniversary of China’s new electricity market reform: an overview and enlightenment of subsidy mechanism for high-cost units
Authors: Qian Ma , Chen Baike , Huang Di , Huang Cheng , Jing Zhaoxia , Zhu Jisong , Song Yuhui 
Published: March 2021

Abstract
With the continuous deepening of China‘s electricity market reform, the problem that units with different costs compete in the same plat has become increasingly prominent. In the transitional period of market reform without capacity market, it is urgent to design a reasonable and effective subsidy mechanism for high-cost units to ensure their survival. This paper first summarizes the common subsidy mechanisms in China, and then introduces the design of subsidy mechanism for high-cost unit participation in the market in Guangdong, Zhejiang and Yunnan provinces. Finally, comparing the advantages and disadvantages of the above three subsidy mechanisms, the design idea of participating in market competition for high-cost units is given.
Supervision mechanism of virtual bidding in electricity market: a review
Authors: Ding Wenjiao , Zhang Fan , Zhelin Yang , Liu Runze , Liu Yu , Jing Zhaoxia 
Published: March 2021

Abstract
In the reform of China‘s electricity market, most provinces adopt the centralized mode based on nodal pricing, thus the price convergence problem between day-ahead market and real-time market needs to be promoted. As a common practice in America, virtual bidding mechanism can promote price convergence, control market power and improve market efficiency. However, due to the financial nature of virtual bidding, virtual bidders may disrupt the market and obtain improper profits, thus damaging market efficiency and the interests of other participants. This paper summarizes the key characteristics of virtual bidding mechanisms in America, and analyzes the potential problems that by introducing virtual bidding into China. Then this paper summarizes the pre and post regulatory measures as well as credit mechanisms of virtual bidding in different electricity markets. In view of the cross-product manipulation through virtual bidding, this paper analyzes its principle and summarizes the regulation methods. Finally, considering the specific situation of China’s electricity market reform, this paper puts forward regulatory suggestions on implementing the virtual bidding mechanism in China.
Analysis of influence factors of embedded carbon in China’s textile and garment export based on SDA model
Authors: Yao Lei , Shang Tianshuo 
Published: March 2021

Abstract
The environment and climate problem has become the focus of international attention, for which China bears an important responsibility for the emission reduction. In this paper, the input-output method is used to reckon the embedded carbon in China‘s textile and garment trade, and the SDA index decomposition method is used to measure the environmental effect on sub-industries. It’s found from the study that, in terms of technology effect, the reduction of carbon emission intensity had an inhibitory effect on the embedded carbon emissions of various industries. In terms of structural effect, the four difference between results of the three industries present a state from positive to negative, indicating that the input structure tends to be reasonable. Scale effect has a positive effect on the growth of export implied carbon emissions.
Incentive regulation for electric vehicles sharing with marketing promotion and technical innovation
Authors: Yan Jinjiang , Huang Yunping , Wu Shuang 
Published: March 2021

Abstract
Electric vehicles (EVs) sharing with advantages in emission reduction and resources saving is supported by government subsidies. However, many incentive policies overlook that EVs sharing platforms have private information on technical capability and promotion effort levels. Based on incentive regulatory theory, this paper considers the industry feature of EVs sharing and establishes an incentive regulation model to study how the government can effectively incentive platforms to improve promotion effort as well as to make more technical innovation under different scenarios of information, and numerical results are presented to validate the model. The findings may bring useful references for policy makers in the process of designing incentive policy portfolios.
Detect the electricity theft event using text CNN
Authors: Xu Chenjin , Zhang Kai , Li Jianhua 
Published: March 2021

Abstract
The big data technology has been widely used in power consumption behavior analysis and power user portrait. In this paper, the electricity data is constructed as two-dimensional time-series. Based on the designed data structure, a special kind of Artificial Neural Networks (ANNs) named as text convolutional neural networks (TCNN) is proposed for electricity theft detection. Moreover, considering the imbalance of electricity theft data in realistic datasets, a data augmentation method is proposed. Numerical results obtained on realistic datasets validate the proposed model.
Boosting images quality of environment remote sensing based on Enhanced Contrast Stretching Algorithm
Authors: An Yuan , Cai Zhaohui , Ma Yingrui , Liu Chun , Li Hongbo 
Published: March 2021

Abstract
Remote sensing, especially the remote satellite images monitoring, plays an important role in environment research domain. They are widely used for environment statistics, changing patters discovery and prediction tasks. However, the raw remote sensing images are normally faced with noise problems and hard to do visual interpretation analysis, which also hurts the following environmental analysis, data mining and prediction tasks. To solve this challenge, we propose an Enhanced Contrast Stretching Algorithm (ECSA) based on Landsat ETM + images. The proposed algorithm converts the distance between the gray value of each pixel and the gray mean value of each single-band image into approximately normal distribution, and constructs a new gray scale transformation function on this basis to enhance the gray stretch ratio of each pixel, thereby realizing images enhancement. The experimental results on real-world data show that ECSA can effectively improve the images quality in environmental monitoring images, and acquire better color naturalness and detailed characteristics of environmental research targets. As a pre-processing images enhancement procedure, our proposed method could not only boost the images quality, but also, be conducive to do the visual interpretation of remote sensing images in environmental monitoring area, and can effectively improve the accuracy of subsequent research tasks.
Co-combustion kinetics characteristics of semi-coke and bituminous coal under a drop tube furnace
Authors: Guan Jingyu , Yu Qiang , Sun Rui , Huang Ying , Sun Hao , Wei Guohua , Wang Jingjie , Ma Xiaochun , Bai Zongqing , Zuo Guohua , Wang Xiaopeng , Li Wei , Wang Minghao , Yan Yanfei 
Published: March 2021

Abstract
Random pore model was employed to calculate the reaction kinetics parameters of SH bituminous coal and Shenmu semi-coke blended fuels under high-temperature entrained flow combustion, and the reaction kinetics parameters was modified by the intrinsic reaction Arrhenius curve obtained from low temperature thermogravimetric experiments. Then the combustion reaction rate and intrinsic reaction order at different blending ratios of semi-coke were determined. The reaction kinetics parameters and carbon conversion rate of blended fuels were investigated based on the pore structure of fuel, the effects of blending ratio of semi-coke, initial partial pressure of oxygen and reaction temperature. The reaction order decreases with the increasing of semi-coke blended ratio except 100% semi-coke combustion has higher reaction order approximately as char pure burning. The distribution of oxygen alone the radius of particle was also calculated in this study. In the low oxygen reduction zone, the blending ratio of semi-coke has little effect on the carbon conversion of blended fuel, and the blending effect is enhanced with the increasing of oxygen content. Carbon conversion rate decreases with the increasing of blending ratio and increases with reaction temperature.
Molecular dynamics simulation of the effects of different salts on methane hydrate formation: an analysis of NaCl, KCl and CaCl2
Authors: Xu Jiafang , Du Shuai , Yang Xuefeng , Hao Yongchao , Wang Xiaopu 
Published: March 2021

Abstract
The formation of hydrates in seawater is of great significance for hydrate prevention and control and seawater desalination. Molecular dynamics simulations were performed to investigate the spontaneous methane hydrate formation in 3.5wt % (seawater salinity) NaCl, 3.5wt % KCl and 3.5wt % CaCl2 solution, respectively. Results indicated that salt inhibited the formation of hydrates, and the strength of inhibition followed the sequence of 3.5wt % CaCl2 > 3.5wt % NaCl > 3.5wt % KCl. Salt inhibited nucleation and growth of hydrates by suppressing methane dissolution and reducing the number of tetrahedral water molecules in the methane hydration layer. It was observed that Na+, K+ and Cl- can replace the water molecules in the hydrate cage to participate in the formation of the cage. Compared with the pure water system and KCl system with a fast hydrate growth rate, the randomness of hydrate crystallization was smaller in the NaCl system and CaCl2 system with slow hydrate growth rate.
The thermal Marangoni effect during photoelectrochemical conversion
Authors: Hu Xiaowei , Sun Meng , Zheng Jugan , Jiang Heqing 
Published: March 2021

Abstract
Marangoni effect is a convective effect produced by surface tension gradient and has an important influence on the efficiency of hydrogen production by photoelectrochemical conversion. In this paper, COMSOL Multiphysics was used for numerical simulation to build a Marangoni effect model at the bubble interface in the photoelectrochemical conversion process, to clarify the mechanism of Marangoni effect of bubbles on the surface of photoelectrodes, and to discuss the influence of Marangoni effect on the process of bubble growth and separation. The results show that the thermal effect of light will cause the Marangoni convection around the bubbles and form a negative pressure zone at the root of the bubbles, which will attract the surrounding bubbles. Gravity has little effect on Marangoni convection, and an increase in the intensity of incoming light enhances the Marangoni effect. At the same time, Marangoni convection leads to a Marangoni force on the surface of the bubble, which prevents the bubble from leaving the surface of the photoelectrode.
Energy simulation of p-PERC bifacial modules based on different installation environment
Authors: Jiang Yashuai , Huang Guoping , Zhuang Hao , Sun Guan , Li Jingnan 
Published: March 2021

Abstract
The bifacial-cell module can significantly increase the power output due to the back power generation gain, and is becoming research hot. In this paper energy simulation analysis is based on three types of systems in different regions, and the installation tilt, ground albedo and height above ground are compared respectively. The irradiation is dominating to produced energy. The modules located in Yinchuan under the situation of albedo 0.2, tilt 15° could generate 85.2 MWh/year, which is 6.1 MWh/year higher than the modules located in Beijing under the situation of albedo 0.8, tilt 30°. The modules generate more power under the situation that the installation tilt is close to latitude, the optimal tilt of Beijing, Yinchuan and Guangzhou is 30°, 30-35° and 15°. The higher the albedo of the ground, the greater the impact of tilt changes on produced energy. Meanwhile, the increasing height above ground promotes to the higher energy. And the produced energy is more sensitive to the variable value of ground albedo compared with height.
Design and test data analysis of a heating system for a wellhead room in a coal mine
Authors: Bai Yanbin , Yang Lizhong , Weiwei Tang , Luhan Yang 
Published: March 2021

Abstract
This paper introduces the design and the test data analysis of a heating system for a wellhead room in a coal mine. Combined with the system design, the actual operational data of the water jet spray heat exchange device was analysed to calculate some coefficients, the thermal efficiency and the spray heat resistance. For demonstrating the practical application of this heating system, a field test was conducted where the outdoor environment temperature was -7.4°C. The air outlet temperature of the air heating unit was 27.8°C and the air inlet temperature of a wellhead room after mixing the outdoor air and the hot air supplied from the air heating unit was 11.5°C. This performance data demonstrated that this mine return air heat exchange system well satisfies the heating requirement for the wellhead facilities in coal mines located in cold areas and shows significant advances in the designing and operation of the heating system.
Investigation of the characteristics of gaseous formaldehyde emission from synthetic rubbers assisted by S-TiO2 catalyst
Authors: Hu Jianhua , Yao Huazhen , Xu Hengzhe , Ni Zhumei , Dong Bingxia , Yuan Ronghui 
Published: March 2021

Abstract
Gaseous formaldehyde emission from synthetic rubbers was simulated using a 60-L environmental chamber to explore the effect of different rubbers on formaldehyde emission. The formaldehyde emission factor (EF) of synthetic rubbers was more likely to exceed the limit for mixed type, which was mainly attributed to the quality of the adhesives in raw materials. Furthermore, the emission characteristics of mixed-type rubbers in small chambers were obtained. EF rapidly increased, especially during the inception stage, and then its rate of increase slowed, reaching a peak at approximately 4-5 h. The relative standard deviations of EF were within 5% when the measurement was extended to 13 h. This method can be used to monitor volatile hazardous substances emanating from synthetic rubbers, providing a theoretical basis for corresponding supervision. In addition, to degrade the background values in chambers, the photo-induced reactions were catalyzed with S-doped TiO2 under visible light, as this helped to shorten the pre-treatment time of the air in the chamber.
A new geological modeling method for the discrete multiple media in unconventional tight reservoirs
Authors: Xu Mengya , Shen Guanzhong , Dong JiaXin 
Published: March 2021

Abstract
The composition and quantity distribution patterns of porous media and fractured media at different scales are quite different, which show discrete discontinuous distribution in space. On the basis of the complex features of continental tight oil and gas reservoirs, the paper presented a new modeling method for the discrete multiple media at different scales and different spatial distribution. The dynamic fluid flow behaviour of different numeric composition of pores and fractured media at different scales is simulated, and the production and recovery rules are revealed under different interactive distribution modes, which lead to different production and recovery.
Monte carlo optimization of multi-layer semiconductor material
Authors: Zhang Hongyi , Wan Qian 
Published: March 2021

Abstract
At present, the demand for various types of semiconductor devices is increasing, and under the current situation of energy shortage, the improvement of the energy efficiency of semiconductors is the top priority for development of science and technology. For this purpose, this article establishes a physical model and mathematical optimization model for multi-layer semiconductors based on Monte Carlo Simulation. The developed model and corresponding equations are derived from thermodynamic theory and principles, and the computer programming is set up to get the optimal design of multilayer semiconductors through Monte Carlo simulation to achieve higher energy efficiency.
Experimental study on sludge adhesion reduction using surface electro-osmotic pulse
Authors: Wang Guanjun , Li Fangqin , Ren Jianxing , Sun Chenhao 
Published: March 2021

Abstract
The dewatering and drying of sludge are important to achieve volume reduction and resource utilization, while the sticky properties of sludge is one of the main problems in the dewatering and drying process. Therefore, reducing the viscosity of sludge and the amount of sludge adhesion is critical to improving the operating efficiency of drying equipment. In practice, the surface electro-osmosis has been used to reduce the adhesion of soil to a loading shovel, and electro-osmotic pulse is applied to a concrete structure to achieve humidity reduction. In this research, the effect of surface electro-osmosis pulse on reducing the adhesion of sludge is studied by using a periodically changing electric field combined with surface electroosmosis technology. The results showed that with surface electro-osmosis pulse, the sludge adhesion stress is reduced from 1514.7 to 820.5Pa at 45% water content within 10s, which indicates that surface electro-osmosis pulse has application value in dewatering and drying process.
Numerical investigation on the swirler parameters for an axial liquid-liquid hydrocyclone
Authors: Zhan Min , Cheng Xinping , Yang Wanyou , Zhang Fenghui , Guo Peiwen , Shen Qiong 
Published: March 2021

Abstract
The exploitation of most oil fields has entered the middle and late stages and the proportion of water in the mixture extracted from the oil fields at this stage is very high, even reaching 80%-90%. In order to lower the cost of exploitation and make the oil field more sustainable, oil and water separation needs to be carried out downhole. The downhole space is small, and the separation device should be small and efficient. Therefore, this paper studies the axial flow oil-water separator that can be used for downhole oil-water separation. Study the influence of swirler structural parameters on the velocity field in the separator, and find structural parameters that are more beneficial to oil-water separation. The results show that increasing the outlet angle of the guide vane, the twisted diameter of the blade and the number of blades can all increase the tangential velocity of the flow field in the separation section, and generate centrifugal force to promote the aggregation of light fluid towards the center.