Numerical simulation of coal pillars with different widths in goaf excavation at 1102 working face of Huacaoan Coal Mine is carried out to study the influence of different widths of coal pillars on the stability of surrounding rock in goaf excavation. Finally, the width of coal pillars is determined to be 5m, which ensures the safety of roadway excavation, improves the utilization rate of coal extraction and responds to the call of green mining.
{"title":"Simulation of narrow coal pillar width in gob-side entry driving","authors":"Zheng Xiang","doi":"10.54097/ije.v2i1.5617","DOIUrl":"https://doi.org/10.54097/ije.v2i1.5617","url":null,"abstract":"Numerical simulation of coal pillars with different widths in goaf excavation at 1102 working face of Huacaoan Coal Mine is carried out to study the influence of different widths of coal pillars on the stability of surrounding rock in goaf excavation. Finally, the width of coal pillars is determined to be 5m, which ensures the safety of roadway excavation, improves the utilization rate of coal extraction and responds to the call of green mining.","PeriodicalId":14093,"journal":{"name":"International journal of energy science","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73628552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aiming at the problems of finger interruptions, microcracks and shadow defects of solar cells that are not easy to detect and will reduce the efficiency of the cells, a solar cell defect localization detection algorithm based on improved G-SSD network is proposed. For object detection algorithms, the detection of small targets is challenging. Firstly, the input scale and network model are improved for the detection of small-scale targets. Secondly, in order to reduce the weight of the network model, a more lightweight network GhostNet is selected instead of VGG-16 in the experiment to reduce the computational cost of the network model. Finally, the EL image is input into the network for classification and positioning, and the prediction results are integrated and the final detection results are output. Experimental results show that compared with the original model, the mean (mAP) of the improved G-SSD is increased by 0.68%, effectively reduces some computing costs.
{"title":"Solar cell defect detection based on improved G-SSD Network","authors":"Mingyang Xu","doi":"10.54097/ije.v2i1.5618","DOIUrl":"https://doi.org/10.54097/ije.v2i1.5618","url":null,"abstract":"Aiming at the problems of finger interruptions, microcracks and shadow defects of solar cells that are not easy to detect and will reduce the efficiency of the cells, a solar cell defect localization detection algorithm based on improved G-SSD network is proposed. For object detection algorithms, the detection of small targets is challenging. Firstly, the input scale and network model are improved for the detection of small-scale targets. Secondly, in order to reduce the weight of the network model, a more lightweight network GhostNet is selected instead of VGG-16 in the experiment to reduce the computational cost of the network model. Finally, the EL image is input into the network for classification and positioning, and the prediction results are integrated and the final detection results are output. Experimental results show that compared with the original model, the mean (mAP) of the improved G-SSD is increased by 0.68%, effectively reduces some computing costs.","PeriodicalId":14093,"journal":{"name":"International journal of energy science","volume":"112 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81380163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In workover operations, minor workover operations account for about 90%~95% of the total wellbore maintenance workload, that is, in oilfield workover operations, the longest operation time and the highest use frequency is the tripping operation of pumping tubing and sucker rod [1]. According to statistics, the time spent in tripping operation of oil wells generally accounts for nearly three quarters of the total time spent in workover [2]. Therefore, it is very necessary to improve the efficiency of tripping operation and realize the automation of tripping operation of tubing and rod for improving the mechanization level of oil fields in China and maintaining stable production of oil fields [3]. In the lifting operation engineering, the most important part is the automatic make-up and breakout link. The efficiency and quality of make-up and breakout are determined by the power tong, so it is particularly important to study the dynamic performance of the power tong. In this paper, amesim is used to establish the hydraulic control circuit of the power tong, and the optimal control scheme is obtained by analyzing the performance curve of the power tong under different pressures [4].
{"title":"Dynamic performance analysis of workover power tong and boom based on AMESim","authors":"Xiangfang Zhang, Guoping Li","doi":"10.54097/ije.v2i1.5615","DOIUrl":"https://doi.org/10.54097/ije.v2i1.5615","url":null,"abstract":"In workover operations, minor workover operations account for about 90%~95% of the total wellbore maintenance workload, that is, in oilfield workover operations, the longest operation time and the highest use frequency is the tripping operation of pumping tubing and sucker rod [1]. According to statistics, the time spent in tripping operation of oil wells generally accounts for nearly three quarters of the total time spent in workover [2]. Therefore, it is very necessary to improve the efficiency of tripping operation and realize the automation of tripping operation of tubing and rod for improving the mechanization level of oil fields in China and maintaining stable production of oil fields [3]. In the lifting operation engineering, the most important part is the automatic make-up and breakout link. The efficiency and quality of make-up and breakout are determined by the power tong, so it is particularly important to study the dynamic performance of the power tong. In this paper, amesim is used to establish the hydraulic control circuit of the power tong, and the optimal control scheme is obtained by analyzing the performance curve of the power tong under different pressures [4].","PeriodicalId":14093,"journal":{"name":"International journal of energy science","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84451770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to reduce the error of short-term power load forecasting and improve its forecasting accuracy, A prediction method based on the combination of random forest (RF), convolution neural network (CNN) and support vector machine (SVM) is proposed. First, the data is preprocessed, and the RF algorithm is introduced to optimize the input variables, Then the feature is extracted through CNN, Finally, the extracted results are input into the SVM model, and the forecasting results are output to realize the load forecasting. In this paper, the power load data of Singapore is used for experimental analysis, compared with CNN-SVM model without RF algorithm, SVM model and hybrid model of convolutional neural network and long short-term memory network (CNN-LSTM), The results show that the prediction model method proposed in this paper has better prediction effect.
{"title":"Short-term power load forecasting based on RF-CNN-SVM","authors":"Xiaochao Liu","doi":"10.54097/ije.v2i1.5616","DOIUrl":"https://doi.org/10.54097/ije.v2i1.5616","url":null,"abstract":"In order to reduce the error of short-term power load forecasting and improve its forecasting accuracy, A prediction method based on the combination of random forest (RF), convolution neural network (CNN) and support vector machine (SVM) is proposed. First, the data is preprocessed, and the RF algorithm is introduced to optimize the input variables, Then the feature is extracted through CNN, Finally, the extracted results are input into the SVM model, and the forecasting results are output to realize the load forecasting. In this paper, the power load data of Singapore is used for experimental analysis, compared with CNN-SVM model without RF algorithm, SVM model and hybrid model of convolutional neural network and long short-term memory network (CNN-LSTM), The results show that the prediction model method proposed in this paper has better prediction effect.","PeriodicalId":14093,"journal":{"name":"International journal of energy science","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78004064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the era of energy shortage, proton membrane fuel cell using hydrogen as energy source has attracted great attention because of its advantages of zero emission and high energy conversion efficiency. Hydrogen supply system is an important part of fuel cell system. Efficient hydrogen supply system can improve hydrogen utilization rate and relieve anode flooding and hydrogen hunger with optimal exhaust drainage time. At the same time, the pressure difference between cathode and anode must be maintained within a certain range when proton membrane fuel cells are running. Reasonable pressure control algorithm can improve the safety and stability of proton membrane fuel cells. In this paper, based on the model of the total fuel cell system, the anodic fuzzy PID pressure control algorithm and the cathode fuzzy PID pressure following control algorithm for proton membrane fuel cells are designed, and the effectiveness of the fuel cell pressure control algorithm is studied through simulation analysis.
{"title":"Study on the control mode of proton membrane fuel cell system","authors":"Jingsen Huang, Min Wan","doi":"10.54097/ije.v2i1.5612","DOIUrl":"https://doi.org/10.54097/ije.v2i1.5612","url":null,"abstract":" In the era of energy shortage, proton membrane fuel cell using hydrogen as energy source has attracted great attention because of its advantages of zero emission and high energy conversion efficiency. Hydrogen supply system is an important part of fuel cell system. Efficient hydrogen supply system can improve hydrogen utilization rate and relieve anode flooding and hydrogen hunger with optimal exhaust drainage time. At the same time, the pressure difference between cathode and anode must be maintained within a certain range when proton membrane fuel cells are running. Reasonable pressure control algorithm can improve the safety and stability of proton membrane fuel cells. In this paper, based on the model of the total fuel cell system, the anodic fuzzy PID pressure control algorithm and the cathode fuzzy PID pressure following control algorithm for proton membrane fuel cells are designed, and the effectiveness of the fuel cell pressure control algorithm is studied through simulation analysis.","PeriodicalId":14093,"journal":{"name":"International journal of energy science","volume":"82 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73062992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yi 59 block as the main block of Changchun, With the deepening of water injection development, Unstable water quality, measure, Influence of factors such as operation, increase in cumulative amount, Water injection pressure increased year by year, High pressure under injection problem increasingly significant, 19-year injection-production ratio drops to 1, Seriously restricting block development, Urgent governance. This article from the reservoir physical properties—source control—Start with daily management, the mechanism of reservoir blockage is analyzed, Preliminary demonstration of low frequency high amplitude depressurization injection enhancement technology, indoor evaluation, Field Application and Parameter Optimization, Effective management of under-injection wells, Achieved block smooth water injection, Great application prospect.
{"title":"Research and Application of Low Frequency and High Amplitude Depressurization Technology in Yi 59 Block","authors":"Yuting Ge","doi":"10.54097/ije.v2i1.5613","DOIUrl":"https://doi.org/10.54097/ije.v2i1.5613","url":null,"abstract":"Yi 59 block as the main block of Changchun, With the deepening of water injection development, Unstable water quality, measure, Influence of factors such as operation, increase in cumulative amount, Water injection pressure increased year by year, High pressure under injection problem increasingly significant, 19-year injection-production ratio drops to 1, Seriously restricting block development, Urgent governance. This article from the reservoir physical properties—source control—Start with daily management, the mechanism of reservoir blockage is analyzed, Preliminary demonstration of low frequency high amplitude depressurization injection enhancement technology, indoor evaluation, Field Application and Parameter Optimization, Effective management of under-injection wells, Achieved block smooth water injection, Great application prospect.","PeriodicalId":14093,"journal":{"name":"International journal of energy science","volume":"81 4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74595613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article takes China's new energy industry as the research object and analyzes the development overview of China's new energy industry as well as the opportunities and problems faced by the development of the new energy industry based on the representative research views at home and abroad; and provides solutions and suggestions through a series of problems in the development of the new energy industry.
{"title":"Opportunities for China's new energy industry in the post-pandemic era","authors":"Yaqi Sun","doi":"10.54097/ije.v2i1.5425","DOIUrl":"https://doi.org/10.54097/ije.v2i1.5425","url":null,"abstract":"This article takes China's new energy industry as the research object and analyzes the development overview of China's new energy industry as well as the opportunities and problems faced by the development of the new energy industry based on the representative research views at home and abroad; and provides solutions and suggestions through a series of problems in the development of the new energy industry.","PeriodicalId":14093,"journal":{"name":"International journal of energy science","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78349774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to evaluate the controlling effect of sandstone heterogeneity on oil-bearing difference in sandstone carrier bed, from the point of view of hydrocarbon accumulation dynamics, using the empirical relationship between porosity, permeability and displacement pressure, the displacement pressure of different sand bodies of the sandstone carrier bed in reservoir conditions is calculated. By comparing with the oil-water interpretation, the upper limit of reservoir displacement pressure in the north of Nanpu 4 structure is finally determined.
{"title":"Quantitative calculation of upper limit of hydrocarbon charging resistance in sandstone carrier bed: A Case Study of the northern reservoir of the 4th structural belt, Nanpu Sag","authors":"Xuan Zhang, G. Ping, Danhua Chen, Xiao Liu","doi":"10.54097/ije.v2i1.5378","DOIUrl":"https://doi.org/10.54097/ije.v2i1.5378","url":null,"abstract":"In order to evaluate the controlling effect of sandstone heterogeneity on oil-bearing difference in sandstone carrier bed, from the point of view of hydrocarbon accumulation dynamics, using the empirical relationship between porosity, permeability and displacement pressure, the displacement pressure of different sand bodies of the sandstone carrier bed in reservoir conditions is calculated. By comparing with the oil-water interpretation, the upper limit of reservoir displacement pressure in the north of Nanpu 4 structure is finally determined.","PeriodicalId":14093,"journal":{"name":"International journal of energy science","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72738684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Northeast China has the largest high-latitude permafrost distribution zone in China. With the intensification of global warming, the carbon stored in the permafrost will gradually thaw and release in the form of methane gas to air, thus increasing the methane column concentration in the near-surface troposphere. However, at present, the spatiotemporal distribution and emission source of methane column concentration in the near-surface troposphere are not clear. In this paper, using the AIRS (Atmospheric Infrared Sounder) remote sensing data from Aqua satellite, we analyzed the distribution and change trend of the methane column concentration in the near-surface troposphere in Northeast China from 2003 to 2021, and combined with the national meteorological and field monitoring data, we studied the emission mechanism and emission source of surface methane in the permafrost area of Northeast China. Study results show that: the permafrost zone in Northeast China has a high methane emission capacity in four seasons, and the methane column concentration shows a significant double-peak seasonal variation. The first peak appears in summer (June to August) and the maximum appears in August, the second peak appears in winter (December to February) and the maximum appears in December. However, the maximum average growth rate of near-surface methane column concentration in Northeast China appeared in spring (5.378ppbv/a), the reason is that the carbon stored under the permafrost is gradually exposed and released in the form of methane. The emission sources include microbial action, methane transported by wetland groundwater, geological methane (metastable methane hydrate, steady-state methane hydrate and thermogenic methane produced in the deep underground or coal seams) stored in frozen layer. The study provide data and technical support for the estimation of carbon emissions in permafrost areas in Northeast China.
{"title":"Analysis of spatiotemporal distribution of methane column concentration and emission source in permafrost area of Northeast China based on AIRS data","authors":"Zhichao Xu, Yunshan Chen, W. Shan, Yuexing Wu","doi":"10.54097/ije.v2i1.5379","DOIUrl":"https://doi.org/10.54097/ije.v2i1.5379","url":null,"abstract":"Northeast China has the largest high-latitude permafrost distribution zone in China. With the intensification of global warming, the carbon stored in the permafrost will gradually thaw and release in the form of methane gas to air, thus increasing the methane column concentration in the near-surface troposphere. However, at present, the spatiotemporal distribution and emission source of methane column concentration in the near-surface troposphere are not clear. In this paper, using the AIRS (Atmospheric Infrared Sounder) remote sensing data from Aqua satellite, we analyzed the distribution and change trend of the methane column concentration in the near-surface troposphere in Northeast China from 2003 to 2021, and combined with the national meteorological and field monitoring data, we studied the emission mechanism and emission source of surface methane in the permafrost area of Northeast China. Study results show that: the permafrost zone in Northeast China has a high methane emission capacity in four seasons, and the methane column concentration shows a significant double-peak seasonal variation. The first peak appears in summer (June to August) and the maximum appears in August, the second peak appears in winter (December to February) and the maximum appears in December. However, the maximum average growth rate of near-surface methane column concentration in Northeast China appeared in spring (5.378ppbv/a), the reason is that the carbon stored under the permafrost is gradually exposed and released in the form of methane. The emission sources include microbial action, methane transported by wetland groundwater, geological methane (metastable methane hydrate, steady-state methane hydrate and thermogenic methane produced in the deep underground or coal seams) stored in frozen layer. The study provide data and technical support for the estimation of carbon emissions in permafrost areas in Northeast China.","PeriodicalId":14093,"journal":{"name":"International journal of energy science","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90317996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The development process of erosion wear theory research in the past 60 years is reviewed, the content and limitations of various mainstream erosion wear theories are analyzed, and the research and discovery of the influencing factors of erosion wear in various stages are summarized. The conclusion is that erosion wear is affected by many factors, which is difficult to be explained by a universal theory. It is believed that the research direction of erosion wear theory should focus on the test of highly reduced erosion conditions, supplemented by numerical simulation analysis, and combined with the comprehensive research of macro and micro.
{"title":"Research Progress of Erosion Wear Theory of Gathering and Transportation Pipes","authors":"Jinhui Zeng, Yueneng Wang, Hongliang Chen, Guochao Zhang, Zhida Li, Jiahao Xian","doi":"10.54097/ije.v2i1.5383","DOIUrl":"https://doi.org/10.54097/ije.v2i1.5383","url":null,"abstract":"The development process of erosion wear theory research in the past 60 years is reviewed, the content and limitations of various mainstream erosion wear theories are analyzed, and the research and discovery of the influencing factors of erosion wear in various stages are summarized. The conclusion is that erosion wear is affected by many factors, which is difficult to be explained by a universal theory. It is believed that the research direction of erosion wear theory should focus on the test of highly reduced erosion conditions, supplemented by numerical simulation analysis, and combined with the comprehensive research of macro and micro.","PeriodicalId":14093,"journal":{"name":"International journal of energy science","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74765956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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