bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on rural electrification policies and demonstration projects in China
Authors: Li Min , Zhang Xuan , Zhao Guan , Ma Junhua , Meng Hao , Xu Shuangqing , Yan Xing , Wang Lei , Huang Wenrui 
Published: March 2021

Abstract
This study aims to further promote rural electrification, optimize the rural energy structure, eliminate poverty among farmers, improve the rural energy efficiency, and achieve an overall well-off and rural revitalization strategy. Shouguang City of Shandong Province, is one of the largest vegetable distribution centres in China and has good policy conditions. This paper examines four types of rural electrification demonstration projects in Shandong Province We have extracted the “Shandong Shouguang Model” with standard construction mode, advanced application technology and complete local policies. The “Shandong Shouguang Model” includes “Four Ones”: “One Platform”, “One Model”, “One type of business” and “ One set of standards” for rural electrification construction, and provided Cost-price and Investment-tax relief policies for rural electrification development across the country. Replicated experience. Promote the achievement of 100% energy cleanliness and 100% end-energy electrification through the construction of Zero-carbon emission demonstration zones and Net-zero energy consumption.
Optimal operation of a multi-energy hub for minimal energy usage cost
Authors: Liang Jianquan , Huang Rui , Wang Panbao , Zhang Jian , Sun Wei , Xu Dianguo 
Published: March 2021

Abstract
This paper proposes a management model of a Multi-Energy Hub (MEH), which is an essential part in the Energy Network. Energy Hub (EH) is a collection of various energy conversion devices and energy storage elements. It can be regarded as the transmission node in the Energy Internet. In this paper, an EH containing Combined heat and power (CHP), electrical heat pump, electricity storage system and heat storage system is studied. In this paper, a new EH model is proposed which is different from the modelling method based on the original EH concept. The proposed method focuses on the practical application field. The optimal model and management of the proposed EH components focusing on the minimal energy usage cost is modelled as a mixed-integer non-linear optimization problem calculated by General Algebraic Modelling System (GAMS) software. Also, in order to be closer to the practical application, the electricity storage system optimization has been considered. The battery life loss is equivalent to the daily energy storage loss cost. The simulation results show that the proposed model is more economical than the traditional model and the maximum depth of discharge (DOD) has less influence on the battery life. However, value of maximum DOD effects the operational cost.
Environmental information disclosure of textile and garment enterprises
Authors: Shao Pengfei , Li Yiyi , Yao Lei 
Published: March 2021

Abstract
As the government, society, public and other stakeholders pay more attention to environmental protection, enterprise environmental information disclosure has gradually become a hot issue in theoretical research. Textile and garment industry is an important part of China‘s national economy, but in its development process, there are very serious environmental pollution problems and governance difficulties. In this paper, the textile and garment industry listed enterprises as the research object, through the investigation of the environmental information disclosure of annual reports, independent reports and other four years from 2015 to 2018, set up the rating scale, analyze the current situation of environmental information disclosure, explore the existing problems, and put forward corresponding measures to improve, so as to make up for the ecological environment weaknesses of China‘s textile and garment industry as soon as possible.
Development and prospect of lignite burning power generation in circulating fluidized bed boiler
Authors: Xin Shengwei , An Fengxia , Bai Jiliang , Han Ping , Zhang Peng , Duan Caili , Hao Qianjun , Cao Peiqing , Wang Hu , Gu Congyang 
Published: March 2021

Abstract
At present, direct-combustion of lignite for generating electricity is a meaningful way to utilize lignite. The development status of lignite power generation and lignite CFB boiler technology is introduced in this paper. From the aspects of combustion stability, boiler efficiency and pollutant discharge, the technical and economic comparative analysis of lignite power generation technology of pulverized coal boiler and CFB boiler is carried out. As a result, CFB boilers burning lignite have more advantages than pulverized coal boilers in combustion stability, boiler efficiency, and pollutant emission reduction. The development of 600-1000MW ultra-supercritical CFB boiler units burning high moisture lignite is feasible and has certain strategic advantages.
A novel approach to evaluate the benefits of price-based demand response in the unit commitment problem
Authors: Wang Huiji , Yue Hao , Zheng Yanan 
Published: March 2021

Abstract
Price-based demand response (DR) has been widely accepted as playing an important role in the reliable and economic operation of the power system. There are different ways to quantify the electricity consumption experience (i.e., comfort) of customers, which can be divided into positive and negative benefits, that is to say, there is no unified method to evaluate the positive or negative benefits of DR. Based on the self-elasticity and cross-elasticity of price elasticity of demand (PED), this study first addresses a novel approach to evaluate the positive and negative benefits of price-based DR with the consideration of customers’ electricity consumption experience. Then, a unit commitment (UC) model considering priced-based DR is built to analyse the influence of priced-based DR on the power system operation, which is linearized into a mixed integer linear programming problem. Finally, the propose method and model are verified the effectiveness through analysing the influence of self-elasticity and cross-elasticity on the power system operation in the IEEE RTS79 system.
The research of source-load transaction mechanism based on blockchain
Authors: Sun Yong , Chen Yongquan , Li Dexin , Lu Hengcong , Li Baoju , Liu Chang , Lu Wen 
Published: March 2021

Abstract
With the development of distributed renewable energy and the energy Internet, the cost of distributed energy participating in traditional power transactions continues to rise, and there is an urgent need for more reasonable transaction mechanisms and efficient information technology to improve the efficiency of distributed energy transactions. The characteristics of blockchain technology are in line with the transaction needs of distributed renewable energy, and it has development potential in energy transactions. Based on blockchain technology, this paper designs a source-load transaction mechanism in which the virtual energy medium is the equivalent of the intermediary. This mechanism can avoid the problem of credit asymmetry between buyers and sellers. We design from three aspects: transaction, payment, and settlement, and verify the actual application. The results show the feasibility and effectiveness of the transaction, provide a new way for multi-frequency and small transaction volume of new energy transactions, and provide new solutions for the consumption of new energy such as photovoltaics and wind power.
XLPE cable health assessment based on Relief-F feature weighted FSVM
Authors: Wu Xiaohuan , Liu Yang , Wang Liqun , Ren Xinzhuo , Tan Xianjun 
Published: March 2021

Abstract
For the cross-linked polyethylene (XLPE) cable health status assessment process, there are noise data for each feature parameter and the importance of each dimension feature is difficult to determine, which leads to deviations in the cable status assessment results. An XLPE cable health assessment algorithm based on Relief-F feature weighted fuzzy support vector machine is proposed. The Relief-F algorithm is used to calculate the importance of each dimension feature. The feature quantity that is weakly related to the evaluation of the health status of the XLPE cable is deleted. Furthermore, the fuzzy support vector machine is used to evaluate the health status of the XLPE cable, which gives the noise data a smaller degree of membership and reduces the influence of the noise data on the evaluation results. Experimental analysis shows that this method can accurately assess the health status of XLPE cables. It can provide a reference value for relevant departments to carry out cable maintenance and replacement work and save the human resources, and material resources required for maintenance and replacement of cables.
Local feeder automation under mode of customer power supply priority
Authors: Yan Lijuan , Ou Shifeng , Li Kewen , Chen Qianyi , Chen Shaonan 
Published: March 2021

Abstract
The local feeder automation method (LFA) is applied in the single side power distribution system. The protection and re-closing of substation outgoing line are used to coordinate with the time limit characteristics of voltage-time type switch to isolate fault and recover power supply automatically. The access of small hydro-power (SH) makes the distribution system present multi power pattern. In this paper, based on LFA considering SH access, in order to achieve the goal that SH can operate in isolated network with load after fault, LFA under the mode of customer power supply priority (LFAUP) with adaptive opening time for switch is proposed. When the fault point is located on the grid side of the quasi power balance switch (QPBS) and the isolated network is on its load side, the switch can automatically isolate all types of short circuit fault from the load side without residual voltage locking (also known as X locking). When the power of the isolated network is balanced, the loads in which will not get power failure. Simulation results show LFAUP advanced in the paper is correct and feasible.
Research on change detection of high resolution remote sensing image based on U-type neural network
Authors: Li Congyi , Kong Xiangbing , Wang Fuling , Wang Yinan , Zhang Mengxuan 
Published: March 2021

Abstract
The change detection of high-resolution remote sensing images has always been a research difficulty and hot spot, which has a great application demand in land use change and ecological environment monitoring. U-type neural network can train a better model with less samples, and has good experimental effect in medical image segmentation, but it is rarely used in remote sensing image change detection research. In this paper, the U-type neural network is used to detect the change spots in GF-1 image of Yuzhou City, Henan Province, and compared with FCN, SegNet and Siamese-CNN. Experimental results show that the F1 score of U-type neural network model are 0.699 and 0.66 respectively, which are better than the other three methods, and the omission is lower, which is closer to the label map. Therefore, it is feasible to use U-type neural network for change detection of high-resolution remote sensing images, and it can have high detection accuracy.
Fire frequency analysis and prediction based on back propagation neural network model and Long-Short Term Memory model
Authors: Hu Xinyue 
Published: March 2021

Abstract
It is reported that there have been many fires in many places this year. This article wants to explore the factors affecting the occurrence of fires and make predictions to prevent the occurrence of forest fires. The correlation between forest indexes and fire frequency in Fujian, Guangxi, Heilongjiang, Hunan, Sichuan, Yunnan and Zhejiang provinces was analyzed based on forest indexes and fire frequency prediction in seven provinces from 1998 to 2018. According to the six relevant indexes of seven provinces in 20 years, the Pearson correlation coefficient between them and the number of fires was analyzed to find the correlation between the variables. The Grey system theory Model (GM (1, 1)) was established to predict the six related index values. The BP neural network model was established based on the historical and the predicted values were substituted into the Back Propagation (BP) neural network model to predict the number of fires. Then, a prediction model based on Long-Short Term Memory (LSTM) was constructed through deep learning library Keras, and the predicted value was substituted into the model to predict the number of fires. Zhejiang Province and Hunan Province were taken as examples to compare the accuracy of the two models’ predictive values. It was found that the LSTM model had better fitting effect, and the LSTM model was finally used to predict the number of future fires. The forest ecological risk identification and prediction system based on Graphical User Interface system (GUI) was developed, the phase space reconstruction of one-dimensional data with time series characteristics was carried out, and the high-dimensional data were trained by using fuzzy neural network to realize data prediction and evaluation. This prediction can be applied to the forest prevention and control departments, and the annual fire situation can be predicted based on historical data, so as to prevent and reduce losses in advance.
The mechanism of NAPL layer formation in a microfluidic device with dual-permeability: experiments and numerical simulation
Authors: Wang Xiaopu , Wang Xu , He Tianhao , Li Yan , Hou Lianjie 
Published: March 2021

Abstract

In-situ remediation is an important technique for non-aqueous phase liquid (NAPL) contamination remediation in soils. Understanding the formation and distribution of NAPL contaminated layers in heterogeneous soils is essential to propose cost-effective remediation methods. Therefore, a two-dimensional microfluidic device with dual permeability zones was designed to simulate the soil-groundwater system and experimentally investigated the formation process of the NAPL contamination layer. Numerical modeling of phase field coupled with laminar flow was used to simulate the distribution of NAPL in soil-groundwater system, and the formation of NAPL contamination layer under typical groundwater flow rate and wetting angle was evaluated. The NAPL in the low permeable zone formed a stable contamination layer, while the NAPL in the high permeable zone was washed out to varying degrees and mainly resided in the junction of high-low-permeability regions of the chip, with residues of 42.2% and 23.3% in the chip high permeable region at groundwater velocities of 6.17 m/d and 10.16 m/d, respectively, the numerical simulation results were consistent with the experimental observations. This retention was diminished in the high permeable zone as the NAPL-to-wall wetting angle increased. In addition, when the contact angle was increased from 33° (lipophilic) to 108° (hydrophilic), the residual NAPL content in the high permeable zone decreased from 48.86% to 28.22%. This paper provides a reliable visualizable experimental platform for the study of NAPL pollution formation at micro-scale in heterogeneous groundwater system, and lays a foundation for the subsequent optimization of the remediation strategy.
Recent advances in g-C3N4-based photocatalysts for reduction of CO2
Authors: Li Fangqin , Sun Chenhao , Ren Jianxing , Wang Guanjun , Chen Mengping , Sun Haijie , Wang Ze , Li Henan 
Published: March 2021

Abstract
The key to reduce the concentration of CO2 in atmosphere by using the photocatalytic reduction method lies in the development of low-cost, stable, and environmentally friendly photocatalysts. Given that g-C3N4 has the advantages of non-toxic, no metal elements, narrow band gap, good thermal stability and so on, analysis shows that this is a very potential photocatalyst. However, at present, the photocatalytic efficiency of pure g-C3N4 is limited by small specific surface area, low visible-light utilization efficiency and high recombination rate of photogenerated charge carriers. In this review, we report the methods for improving photoactivity of the g-C3N4, for instance, loading precious metal cocatalysts, earth-abundant metal cocatalysts and non-metallic cocatalysts. Finally, the issues that should be paid attention to when further studying the photoreactivity of g-C3N4 and its future research directions are discussed.
Study on degradation of reactive brilliant red X-3B by three-dimensional biofilm electrode reactor
Authors: Liu Shentan , Xue Hongpu 
Published: March 2021

Abstract
The treatment of azo dyes by three-dimensional biofilm electrode reactor (3D-BER) has the characteristics of fast decolorization, high mineralization efficiency and less sludge production and has broad application prospects. The 3D-BER was constructed by filling granular activated carbon (GAC) as a third bipolar electrode in the cathode chamber of conventional BER, and it greatly improved the degradation property of reactive brilliant red (RBR) X-3B. The effects of dye concentration, operating voltage, hydraulic retention time (HRT) and nitrate content on the stability of the experiment were investigated. The results reveal that azo dyes were first decomposed into aromatic amines such as aniline at the cathode, however, the amine substance was difficult to be biodegraded in the anaerobic cathode area, and then the decomposition products of aromatic amines reached the anode region and were further metabolized. Moreover, the water samples were analysed by FTIR and UV-Vis analysis. It was noted that the double bond of the azo dye was broken and degraded into aromatic amines, which were further effectively degraded.
Pyrolysis kinetics of filter mud from sugar mills
Authors: Liang Yong , Liu Faqiu , Liu Lei , Xiang Min , Zhou Shaoji , Zhao Zhengang 
Published: March 2021

Abstract
In order to facilitate the possible reuse of filter mud from sugar mills as boiler fuels or producing biochar that involves pyrolysis process, thermogravimetric analysis (TGA) was emploied to analyze the pyrolysis kinetics of it. In TGA tests, filter mud were heated from 30 °C to 800°C at different heating rates (5, 10, 15, 20, 25 and 30 °C/min) in the atmosphere of nitrogen, and the relevant parameters of kinetics were performed by methods of Flynn–Wall–Ozawa (FWO) and the Kissinger–Akahira–Sunose (KAS). The results shown that the average activation energy analyzed by FWO and KAS were 322.28 and 321.93 kJ/mol, the average enthalpy were 289.04 and 288.24 kJ/mol, the average Gibbs free energy were 207.87 and 208.01 kJ/mol, respectively, the pre-exponential factors varied in the range of 1022–1039 s-1.
Residual life evaluation of 12Cr1MoVG steel for main steam pipeline
Authors: Tang Ping , Huang Shengpeng , Tian Wei , Ling Zhangwei , Jin Nanhui , Li Feng 
Published: March 2021

Abstract
12Cr1MoVG steel is a commonly used steel for boiler main steam pipes. With the increase of service time, the material’s endurance performance is deteriorating. In this paper, the performance analysis of the 12Cr1MoVG steel main steam pipe which has spheroidized and deteriorated after 70,000 hours of service in a power plant was carried out, and the residual life of this pipeline was evaluated. According to the evaluation, the residual life of the pipeline is more than 100000 hours.
Fault diagnosis model of refrigeration system combining Boruta and LightGBM methods for energy saving
Authors: Li Zhengfei , Hu Kuan , Chen Huanxin , Liu Qian 
Published: March 2021

Abstract
Energy consumption of HVAC system accounts for a large proportion of building energy consumption, and it is necessary to improve the energy efficiency of the system to achieve the purpose of energy saving. Once the HVAC system malfunctions, the energy efficiency of the system will decrease, resulting in unnecessary energy waste. Aiming at common failures of refrigeration systems, this research proposes a fault diagnosis model combining Boruta and LightGBM methods to diagnose faults in time. The results show that compared with other three tree-based models, this optimized LightGBM model can not only efficiently diagnose the refrigerant charge amount faults of the VRF system, achieving a fault diagnostic accuracy of 97.52%, but also can be transplanted to other systems for fault diagnosis, thus effectively avoiding unnecessary energy waste caused by those failures.
Review on polymer flooding technology
Authors: Li Xuening , Zhang Fusheng , Liu Guoliang 
Published: March 2021

Abstract
In this paper, the research status of polymer flooding in China and abroad in recent years is reviewed, as well as the mechanism and application of polymer flooding are described. The research progress of several commonly used polymer flooding agents are introduced, including biopolymer, temperature and salt resistant monomer polymer, hydrophobic associating polymer, cross-linked polymer, comb polymer and star polymer. Based on the analysis of the properties, advantages and disadvantages of these flooding polymers, some suggestions are given for the problems existing in the current application of the polymer flooding technology. Also, suggestions of research direction of polymer flooding agent in the future are shared.
Numerical simulation of gas wells in different types of carbonate reservoirs
Authors: Dong Jiaxin , Shi Wen , Xu Mengya 
Published: March 2021

Abstract
The geological conditions of carbonate reservoirs are complex, and there are multi-media of pores, vuggy, and fractures with different scales. The macroscopic Heterogeneity of carbonate reservoirs is very strong, and the difference between wells is very large, which leads to the great difference in the production of different types of reservoirs and the difficulty in product evaluation. It is also difficult to forecast the production capacity and to determine the policy of developing technology. In this paper, by using the actual data of the Moxi area, the reservoir types of Moxi area are defined, and the production performance of different types of reservoirs are revealed. By using the integration of unconventional geological modelling and numerical simulation software Untog, the geological models which can reveal the geological characteristics of different types of reservoirs are established, and the numerical simulation study is carried out. The contribution of different media to the well production is revealed, the larger the pore size, the higher the recovery degree. Higher the proportion of large-scale pore, the higher the gas well production, and higher the well recovery.
Optimization design and application study on a high temperature resistant borated polyethylene shielding material
Authors: Li Xiaoling , Yu Ming , Xu Xiaohui , Wu Rongjun 
Published: March 2021

Abstract
This paper carried out an optimization design and application study on a high temprature resistant borated polyethylene shielding material, according to the nuclear power plant source characteristics and special protection requirements. The composition of borated polyethylene shielding material was optimized based on the genetic algorithm and Monte Carlo methods, then it was realized by blending modification and graft copolymerization to improve the high temperature resistant, shielding and mechanical properties. Finally, comprehensive properties such as mechanical, neutron shielding, irradiation resistance and high temperature resistance experiments were verified with the ordinary borated polyethylene and polypropylene. Those just proved the optimized borated polyethylene shielding material has excellent performance comparatively, especially it could keep complete structure in a high temperature environment up to 190°C during 48 hours, meeting the requirements of radiation protection safety for nulear power plant completely.