In recent years improper allocation of safety input has prevailed in coal mines in China, which resulted in the frequent accidents in coal mining operation. A comprehensive assessment of the input efficiency of coal m...In recent years improper allocation of safety input has prevailed in coal mines in China, which resulted in the frequent accidents in coal mining operation. A comprehensive assessment of the input efficiency of coal mine safety should lead to improved efficiency in the use of funds and management resources. This helps government and enterprise managers better understand how safety inputs are used and to optimize allocation of resources. Study on coal mine＇s efficiency assessment of safety input was con- ducted in this paper. A C^2R model with non-Archimedean infinitesimal vector based on output is established after consideration of the input characteristics and the model properties. An assessment of an operating mine was done using a specific set of input and output criteria. It is found that the safety input was efficient in 2002 and 2005 and was weakly efficient in 2003. However, the efficiency was relatively low in both 2001 and 2004. The safety input resources can be optimized and adjusted by means of projection theory. Such analysis shows that, on average in 2001 and 2004, 45% of the expended funds could have been saved. Likewise, 10% of the safety management and technical staff could have been eliminated and working hours devoted to safety could have been reduced by 12%. These conditions could have Riven the same results.展开更多
With the advent of the era of big data,buildings have become not only energy-intensive but also data-intensive.Data mining technologies have been widely utilized to release the values of massive amounts of building op...With the advent of the era of big data,buildings have become not only energy-intensive but also data-intensive.Data mining technologies have been widely utilized to release the values of massive amounts of building operation data with an aim of improving the operation performance of building energy systems.This paper aims at making a comprehensive literature review of the applications of data mining technologies in this domain.In general,data mining technologies can be classified into two categories,i.e.,supervised data mining technologies and unsupervised data mining technologies.In this field,supervised data mining technologies are usually utilized for building energy load prediction and fault detection/diagnosis.And unsupervised data mining technologies are usually utilized for building operation pattern identification and fault detection/diagnosis.Comprehensive discussions are made about the strengths and shortcomings of the data mining-based methods.Based on this review,suggestions for future researches are proposed towards effective and efficient data mining solutions for building energy systems.展开更多
考虑到基于智能计算的燃烧优化算法难以应用于工程领域的问题,设计了一种基于数据挖掘案例推理的电站锅炉燃烧优化系统.根据海量的分散控制系统(Distributed Control System,DCS)历史数据,采用改进的模糊减法聚类算法确定分类数,以模糊...考虑到基于智能计算的燃烧优化算法难以应用于工程领域的问题,设计了一种基于数据挖掘案例推理的电站锅炉燃烧优化系统.根据海量的分散控制系统(Distributed Control System,DCS)历史数据,采用改进的模糊减法聚类算法确定分类数,以模糊C均值算法建立初始案例库,通过目标寻优约简案例库.在线应用时,基于非可控因子的案例推理方法计算当前工况最佳燃烧参数,根据可控因子对输出参数进行修正,保证系统的实时最优性.对比某机组的优化效果表明,优化后选择性催化还原(Selective Catalytic Reduction,SCR)装置入口NO_(x)浓度平均降低26.2 mg/m^(3),锅炉效率平均提升了0.21%.展开更多
Greenhouse gas(GHG)emissions related to human activities have significantly caused climate change since the Industrial Revolution.China aims to achieve its carbon emission peak before 2030 and carbon neutrality before...Greenhouse gas(GHG)emissions related to human activities have significantly caused climate change since the Industrial Revolution.China aims to achieve its carbon emission peak before 2030 and carbon neutrality before 2060.Accordingly,this paper reviews and discusses technical strategies to achieve the“dual carbon”targets in China’s metal mines.First,global carbon emissions and emission intensities from metal mining industries are analyzed.The metal mining status and carbon emissions in China are then examined.Furthermore,advanced technologies for carbon mitigation and carbon sequestration in metal mines are reviewed.Finally,a technical roadmap for achieving carbon neutrality in China’s metal mines is proposed.Findings show that some international mining giants have already achieved their carbon reduction targets and planned to achieve carbon neutrality by 2050.Moreover,improving mining efficiency by developing advanced technologies and replacing fossil fuel with renewable energy are two key approaches in reducing GHG emissions.Green mines can significantly benefit from the carbon neutrality process for metal mines through the carbon absorption of reclamation vegetations.Geothermal energy extraction from operating and abandoned metal mines is a promising technology for providing clean energy and contributing to the carbon neutrality target of China’s metal mines.Carbon sequestration in mine backfills and tailings through mineral carbonation has the potential to permanently and safely store carbon dioxide,which can eventually make the metal mining industry carbon neutral or even carbon negative.展开更多
基金Project 70771105 supported by the National Natural Science Foundation of China
文摘In recent years improper allocation of safety input has prevailed in coal mines in China, which resulted in the frequent accidents in coal mining operation. A comprehensive assessment of the input efficiency of coal mine safety should lead to improved efficiency in the use of funds and management resources. This helps government and enterprise managers better understand how safety inputs are used and to optimize allocation of resources. Study on coal mine＇s efficiency assessment of safety input was con- ducted in this paper. A C^2R model with non-Archimedean infinitesimal vector based on output is established after consideration of the input characteristics and the model properties. An assessment of an operating mine was done using a specific set of input and output criteria. It is found that the safety input was efficient in 2002 and 2005 and was weakly efficient in 2003. However, the efficiency was relatively low in both 2001 and 2004. The safety input resources can be optimized and adjusted by means of projection theory. Such analysis shows that, on average in 2001 and 2004, 45% of the expended funds could have been saved. Likewise, 10% of the safety management and technical staff could have been eliminated and working hours devoted to safety could have been reduced by 12%. These conditions could have Riven the same results.
基金This study is supported by the National Natural Science Foundation of China(Grant No.51706197).
文摘With the advent of the era of big data,buildings have become not only energy-intensive but also data-intensive.Data mining technologies have been widely utilized to release the values of massive amounts of building operation data with an aim of improving the operation performance of building energy systems.This paper aims at making a comprehensive literature review of the applications of data mining technologies in this domain.In general,data mining technologies can be classified into two categories,i.e.,supervised data mining technologies and unsupervised data mining technologies.In this field,supervised data mining technologies are usually utilized for building energy load prediction and fault detection/diagnosis.And unsupervised data mining technologies are usually utilized for building operation pattern identification and fault detection/diagnosis.Comprehensive discussions are made about the strengths and shortcomings of the data mining-based methods.Based on this review,suggestions for future researches are proposed towards effective and efficient data mining solutions for building energy systems.
基金supported by the Chinese Academy of Engineering(No.2019-XZ-16)National Natural Science Foundation of China(No.L1824042)Fundamental Research Funds for the Central Universities,USTB(No.FRFIDRY-20-032)。
文摘Greenhouse gas(GHG)emissions related to human activities have significantly caused climate change since the Industrial Revolution.China aims to achieve its carbon emission peak before 2030 and carbon neutrality before 2060.Accordingly,this paper reviews and discusses technical strategies to achieve the“dual carbon”targets in China’s metal mines.First,global carbon emissions and emission intensities from metal mining industries are analyzed.The metal mining status and carbon emissions in China are then examined.Furthermore,advanced technologies for carbon mitigation and carbon sequestration in metal mines are reviewed.Finally,a technical roadmap for achieving carbon neutrality in China’s metal mines is proposed.Findings show that some international mining giants have already achieved their carbon reduction targets and planned to achieve carbon neutrality by 2050.Moreover,improving mining efficiency by developing advanced technologies and replacing fossil fuel with renewable energy are two key approaches in reducing GHG emissions.Green mines can significantly benefit from the carbon neutrality process for metal mines through the carbon absorption of reclamation vegetations.Geothermal energy extraction from operating and abandoned metal mines is a promising technology for providing clean energy and contributing to the carbon neutrality target of China’s metal mines.Carbon sequestration in mine backfills and tailings through mineral carbonation has the potential to permanently and safely store carbon dioxide,which can eventually make the metal mining industry carbon neutral or even carbon negative.
