In this paper,the quadratic polynomial and cubic polynomial functions were applied to analyze the environmental Kuznets curve(EKC)of carbon emissions in Hebei Province.The improved STIRPAT model was also applied to as...In this paper,the quadratic polynomial and cubic polynomial functions were applied to analyze the environmental Kuznets curve(EKC)of carbon emissions in Hebei Province.The improved STIRPAT model was also applied to assess the driving factors and reduction paths for carbon emissions in Hebei Province.The results lead to three main conclusions.Firstly,carbon emissions and economic growth in Hebei Province are in a positive correlation stage which has not formed the EKC curve,and the“decoupling”stage between carbon emissions and economic growth has not arrived yet.Secondly,the industrial structure,per capita GDP,fixed assets investment,population size and urbanization rate account for the highest proportion of carbon emissions.Carbon emissions can be reduced greatly by changing the energy structure,in which the proportion of coal is decreased year by year.Environmental regulation also has an obvious effect on the reduction of carbon emissions.Thirdly,it is suggested that the reduction of carbon emissions in Hebei Province should focus on four tasks:controlling the development of heavy industry,avoiding overcapacity,optimizing the industrial structure and accelerating the development of clean energy.展开更多
Outdated testing methods hinder the success rate of carbonized cable preparation in low-voltage arc fault tests,leading to incomplete tests and high failure rates.To address this issue,we finely categorized the prepar...Outdated testing methods hinder the success rate of carbonized cable preparation in low-voltage arc fault tests,leading to incomplete tests and high failure rates.To address this issue,we finely categorized the preparation results of carbonized cable specimens by analyzing the experimental phenomena during the carbonization process and assessing the impact of high-voltage energization time on the outcomes,presenting a process control strategy aimed at optimizing the preparation results of carbonized cable specimens.This method utilizes three periodic moving algorithms(root-mean-square,average,and shoulder percentage)to classify the cable specimens into four preparation categories:open-circuit carbonization,under-carbonization,short-circuit carbonization,and successful carbonization.The high-voltage energization time during carbonization or secondary carbonization was adjusted to optimize the preparation of the carbonized cables by considering different discrimination outcomes.Finally,the proposed method was tested on a purpose-built carbonized cable experimental platform,which confirmed its effectiveness in differentiating the preparation outcomes of the carbonized cable specimens and improving the success rate of the carbonized cable preparation.The proposed method has significant potential for application in low-voltage arc fault test systems.展开更多
基金The National Natural Science Foundation of China(71991481,71991484,41971163)The Humanities and Social Science Research Project of Hebei Education Department(SQ2021081)The National key research and development program(2016YFA0602800)。
文摘In this paper,the quadratic polynomial and cubic polynomial functions were applied to analyze the environmental Kuznets curve(EKC)of carbon emissions in Hebei Province.The improved STIRPAT model was also applied to assess the driving factors and reduction paths for carbon emissions in Hebei Province.The results lead to three main conclusions.Firstly,carbon emissions and economic growth in Hebei Province are in a positive correlation stage which has not formed the EKC curve,and the“decoupling”stage between carbon emissions and economic growth has not arrived yet.Secondly,the industrial structure,per capita GDP,fixed assets investment,population size and urbanization rate account for the highest proportion of carbon emissions.Carbon emissions can be reduced greatly by changing the energy structure,in which the proportion of coal is decreased year by year.Environmental regulation also has an obvious effect on the reduction of carbon emissions.Thirdly,it is suggested that the reduction of carbon emissions in Hebei Province should focus on four tasks:controlling the development of heavy industry,avoiding overcapacity,optimizing the industrial structure and accelerating the development of clean energy.
基金Supported by the National Natural Science Foundation of China(52277136)the University Production-Study Cooperation Project of Science and Technology Department of Fujian Province(2021Y4002)+1 种基金the 2018 Funding Program for Leading Talents in Scientific and Technological Innovation of Fujian(038000387024)Natural Science Foundation of Fujian Province(2020J05170).
文摘Outdated testing methods hinder the success rate of carbonized cable preparation in low-voltage arc fault tests,leading to incomplete tests and high failure rates.To address this issue,we finely categorized the preparation results of carbonized cable specimens by analyzing the experimental phenomena during the carbonization process and assessing the impact of high-voltage energization time on the outcomes,presenting a process control strategy aimed at optimizing the preparation results of carbonized cable specimens.This method utilizes three periodic moving algorithms(root-mean-square,average,and shoulder percentage)to classify the cable specimens into four preparation categories:open-circuit carbonization,under-carbonization,short-circuit carbonization,and successful carbonization.The high-voltage energization time during carbonization or secondary carbonization was adjusted to optimize the preparation of the carbonized cables by considering different discrimination outcomes.Finally,the proposed method was tested on a purpose-built carbonized cable experimental platform,which confirmed its effectiveness in differentiating the preparation outcomes of the carbonized cable specimens and improving the success rate of the carbonized cable preparation.The proposed method has significant potential for application in low-voltage arc fault test systems.
