Climate change caused by carbon emissions is a hot topic of concern.Enhancing carbon emission performance(CEP)emerges as a pivotal strategy to curtail carbon emissions,with the digital economy recognized as a crucial ...Climate change caused by carbon emissions is a hot topic of concern.Enhancing carbon emission performance(CEP)emerges as a pivotal strategy to curtail carbon emissions,with the digital economy recognized as a crucial instrument for bolstering CEP.Grounded in theoretical analysis,this article takes the Yangtze River Delta region(YRD)as the research object and conducts empirical analysis for the period from 2010 to 2021.The Super Epsilon-Based Measure(EBM)model was employed to assess CEP,while the entropy method was used to quantify the level of the digital economy.Baseline regression models and mediation effect models were constructed to test the research hypotheses.Additionally,the Spatial Durbin Model(SDM)was utilized to analyze the spatial spillover effects of the digital economy.Some conclusions were drawn as follows.Firstly,both the digital economy and CEP exhibit growing trends and demonstrate significant spatial distribution characteristics.Cities with high CEP are increasingly concentrated along the Yangtze River and coastal areas.Meanwhile,the digital economy generally demonstrates a spatial distribution pattern of being higher in the southeast and lower in the northwest.Secondly,the digital economy exerts a notable and consistent positive influence on CEP,but this impact is not primarily achieved through promoting green technology innovation.Instead,the digital economy exhibits a stronger intermediary effect on CEP by facilitating industrial structure upgrading and rationalization.Thirdly,the digital economy significantly enhancing local CEP but having an insignificant impact on neighboring cities'CEP.To address these findings,cities ought to invest in digital infrastructure,incentivize digital innovation through policy and financial backing,and harness advanced technologies like 5G and blockchain to promote low-carbon,intelligent production and lifestyles,while enhancing industrial structure and regional cooperation to foster a low-carbon digital economy network.展开更多
Climate change resulting from CO_2 emissions has become an important global environmental issue in recent years.Improving carbon emission performance is one way to reduce carbon emissions.Although carbon emission perf...Climate change resulting from CO_2 emissions has become an important global environmental issue in recent years.Improving carbon emission performance is one way to reduce carbon emissions.Although carbon emission performance has been discussed at the national and industrial levels,city-level studies are lacking due to the limited availability of statistics on energy consumption.In this study,based on city-level remote sensing data on carbon emissions in China from 1992–2013,we used the slacks-based measure of super-efficiency to evaluate urban carbon emission performance.The traditional Markov probability transfer matrix and spatial Markov probability transfer matrix were constructed to explore the spatiotemporal evolution of urban carbon emission performance in China for the first time and predict long-term trends in carbon emission performance.The results show that urban carbon emission performance in China steadily increased during the study period with some fluctuations.However,the overall level of carbon emission performance remains low,indicating great potential for improvements in energy conservation and emission reduction.The spatial pattern of urban carbon emission performance in China can be described as"high in the south and low in the north,"and significant differences in carbon emission performance were found between cities.The spatial Markov probabilistic transfer matrix results indicate that the transfer of carbon emission performance in Chinese cities is stable,resulting in a"club convergence"phenomenon.Furthermore,neighborhood backgrounds play an important role in the transfer between carbon emission performance types.Based on the prediction of long-term trends in carbon emission performance,carbon emission performance is expected to improve gradually over time.Therefore,China should continue to strengthen research and development aimed at improving urban carbon emission performance and achieving the national energy conservation and emission reduction goals.Meanwhile,neighboring cities with different neighborhood backgrounds should pursue cooperative economic strategies that balance economic growth,energy conservation,and emission reductions to realize low-carbon construction and sustainable development.展开更多
In order to obtain higher emission performance than that of a traditional M-type cathode, we have developed a new type impregnated dispenser cathode. The new cathode is impregnated with a new active substance with mol...In order to obtain higher emission performance than that of a traditional M-type cathode, we have developed a new type impregnated dispenser cathode. The new cathode is impregnated with a new active substance with molar ratio of 26BaO·29SrO·8Sc2O3 ·7CaO·Al2O3 . This paper introduces the emission performance, surface active material, and work function of the new cathode. At 1100℃B , the DC current density and pulse current density are 30.6±1.0 A/cm2 and 171.6±2.8 A/cm2 , respectively, 2.1 and 5.4 times of that of an M-type cathode. The work function of the new cathode is 1.668± 0.002 eV. High concentration O-Al-Sc-Sr-Ba and O-Al-Sc-Ba are found in the pores and at pore edges, respectively. By comparing the emission performances and surface characteristics of as-polished and as-cleaned cathodes, it is proposed that, the emission around pore ends forms the major part of the total emission for the new cathodes.展开更多
As pig production is a main contributor of greenhouse gas(GHG) emissions from livestock sector,the carbon emissions of pig production are attracting increasing attention,especially in the developing countries. Based o...As pig production is a main contributor of greenhouse gas(GHG) emissions from livestock sector,the carbon emissions of pig production are attracting increasing attention,especially in the developing countries. Based on the panel data of 30 provinces in China from 2001 to 2012,this paper measures the provincial carbon emission performance(CEP) of pig production and we use a Malmquist DEA approach to analyze the decomposition which includes desirable and undesirable output. Furthermore,the regional disparity in carbon emission performance of pig production is also analyzed and finally the convergence is tested. The main results are as follows:(i) there are provincial differences in carbon emission performance changing of pig production in China,and the carbon emission performance of pig production in 30 provinces has a downward trend during this period;(ii) among China’s three major economic regions,in terms of carbon emission performance of pig production,they are ranked in descending order as follows: Western China,Central China and Eastern China;(iii) convergence testing shows that there is a convergence trend for carbon emission performance both nationally and for the three regions.展开更多
To achieve carbon peak targets,realize carbon neutrality vision,and tackle global climate change,China must improve the carbon emission performance at the city level.Based on the carbon emission performance of 191 pre...To achieve carbon peak targets,realize carbon neutrality vision,and tackle global climate change,China must improve the carbon emission performance at the city level.Based on the carbon emission performance of 191 prefecture-level cities in China from 1997 to 2017,this paper analyses the evolution characteristics of urban carbon emission performance from three aspects:the overall spatial and temporal evolution,the differences according to both region and city size,and the differences among clusters categorized by carbon emission performance at the city level.This paper also reveals the impact of the social and economic transition on China’s carbon emission performance.The results show that:(1)The overall level of carbon emission performance of Chinese cities is low,and there is a downward trend during the study period.The differences in carbon emission performance among cities are convergent,but there is a wide gap between high and low values.(2)The carbon emission performance of cities in eastern coastal areas is higher than that in non-coastal areas cities.Large urban agglomerations and economically developed regions,such as provincial capitals,are the agglomeration areas of high urban carbon emission performance values.(3)The carbon emission performance level of cities with similar sizes will converge.At the same time,such changes will enhance the differences among carbon emission performances at the city level within the same region.(4)Cities that belong to high urban carbon emission performance clusters are mainly distributed in the eastern region.Such cities are classified into large cities,supercities,and megacities.Compared with low urban carbon emission performance clusters,cities in high urban carbon emission performance clusters show a higher proportion in the medium-high level and high level of carbon emission performance.Moreover,cities in high urban carbon emission performance clusters are more likely to improve their urban carbon emission performance.(5)The economic agglomeration effect,industrial structure adjustment and carbon intensity reduction have a significant impact on improving urban carbon emission performance.Population agglomeration has an incremental effect,and the anticipated benefits of environmental regulation have yet to be fully realized.The impacts of different clusters and different regions are variable.Finally,this paper advances policy enlightenment according to its research findings.展开更多
The emission properties of 2-um region fluorescence of Tm^3＋-Ho^3＋ co-doped tellurite glasses are investigated. Introducing F- ions to the composition of tellurite glasses plays a positive effect on the 2-#m emissio...The emission properties of 2-um region fluorescence of Tm^3＋-Ho^3＋ co-doped tellurite glasses are investigated. Introducing F- ions to the composition of tellurite glasses plays a positive effect on the 2-#m emission. A maximum intensity of 2-um emission is achieved when 1.5-mol% Tm2O3 and 1-mol% Ho203 concentration are doped in the glasses. The emission cross section and gain coefficient of the ^5I8-^5I7 transition of Ho^3＋ are calculated. The emission cross section has a maximum of 1.29×10-20 cm^2 at 2048 nm wavelength. The results indicate that Tm＆3＋-Ho^3＋ co-doped tellurite glasses are suitable for 2-um application.展开更多
In this study,the low emission combustion technology of Rich-Quench-Lean(RQL)has been applied in Trapped-Vortex Combustor(TVC),and the combinative RQL-TVC shows a promising low emissions performance.By utilizing a que...In this study,the low emission combustion technology of Rich-Quench-Lean(RQL)has been applied in Trapped-Vortex Combustor(TVC),and the combinative RQL-TVC shows a promising low emissions performance.By utilizing a quench orifice plate combined with a bluffbody,a lab-scale RQL-TVC was designed.The flow fields of RQL-TVC were measured by 2-D PIV and predicted by 3-D numerical simulation.Flow structures,radial profiles of normalized mean axial velocity,turbulence intensity and mixing level of the quench zone were analyzed.Results reveal that the dual-vortex and the single-vortex flow patterns both exist in cavities and quench zone of RQL-TVC,and the turbulence intensity is strong in the quench zone with some reverse flows.The spiral vortex was discussed by 3-D streamlines and the detail flow structures of the quench zone were analyzed based on the numerical results.The mixing level of the quench zone was determined,and results show that the quench device enhances the mixing level compared with TVC.Combustion efficiency and emissions performance were investigated experimentally,and results demon-strate that RQL-TVC has relatively higher combustion efficiency and lower emission index of CO,UHC and NO_xthan the same size lab-scale TVC in present work.展开更多
Great efforts have been made to resolve the serious environmental pollution and inevitable declining of energy resources. A review of Chinese fuel reserves and engine technology showed that compressed natural gas (CN...Great efforts have been made to resolve the serious environmental pollution and inevitable declining of energy resources. A review of Chinese fuel reserves and engine technology showed that compressed natural gas (CNG)/diesel dual fuel engine (DFE) was one of the best solutions for the above problems at present. In order to study and improve the emission performance of CNG/diesel DFE, an emission model for DFE based on radial basis function (RBF) neural network was developed which was a black-box input-output training data model not require priori knowledge. The RBF centers and the connected weights could be selected automatically according to the distribution of the training data in input-output space and the given approximating error. Studies showed that the predicted results accorded well with the experimental data over a large range of operating conditions from low load to high load. The developed emissions model based on the RBF neural network could be used to successfully predict and optimize the emissions performance of DFE. And the effect of the DFE main performance parameters, such as rotation speed, load, pilot quantity and injection timing, were also predicted by means of this model. In resumé, an emission prediction model for CNG/diesel DFE based on RBF neural network was built for analyzing the effect of the main performance parameters on the CO, NOx emissions of DFE. The predicted results agreed quite well with the traditional emissions model, which indicated that the model had certain application value, although it still has some limitations, because of its high dependence on the quantity of the experimental sample data.展开更多
Organic light-emitting devices have attracted significant research interest due to their several advantages including flexibility,lightweight design,and low manufacturing cost.Upon the electric current applied,their e...Organic light-emitting devices have attracted significant research interest due to their several advantages including flexibility,lightweight design,and low manufacturing cost.Upon the electric current applied,their emitted light is typically unpolarized,whose electromagnetic fields oscillate randomly in all directions[1].In contrast,polarized light,resulting from electromagnetic field oscillating in a specific direction,is crucial for various applications such as optical communication.展开更多
Homogeneous charge compression ignition(HCCI) mode of combustion is popularly known for achieving simultaneous reduction of NOx as well as soot emissions as it combines the compression ignition(CI) and spark ignition(...Homogeneous charge compression ignition(HCCI) mode of combustion is popularly known for achieving simultaneous reduction of NOx as well as soot emissions as it combines the compression ignition(CI) and spark ignition(SI) engine features. In this work, a CI engine was simulated to work in HCCI mode and was analyzed to study the effect of induction induced swirl under varying speeds using three-zone extended coherent flame combustion model(ECFM-3Z, compression ignition) of STAR-CD. The analysis was done considering speed ranging from 800 to 1600 r/min and swirl ratios from 1 to 4. The present study reveals that ECFM-3Z model has well predicted the performance and emissions of CI engine in HCCI mode. The simulation predicts reduced in-cylinder pressures, temperatures, wall heat transfer losses, and piston work with increase in swirl ratio irrespective of engine speed. Also, simultaneous reduction in CO2 and NOx emissions is realized with higher engine speeds and swirl ratios. Low speeds and swirl ratios are favorable for low CO2 emissions. It is observed that increase in engine speed causes a marginal reduction in in-cylinder pressures and temperatures. Also, higher turbulent energy and velocity magnitude levels are obtained with increase in swirl ratio, indicating efficient combustion necessitating no modifications in combustion chamber design. The investigations reveal a total decrease of 38.68% in CO2 emissions and 12.93% in NOx emissions when the engine speed increases from 800 to 1600 r/min at swirl ratio of 4. Also an increase of 14.16% in net work done is obtained with engine speed increasing from 800 to 1600 r/min at swirl ratio of 1. The simulation indicates that there is a tradeoff observed between the emissions and piston work. It is finally concluded that the HCCI combustion can be regarded as low temperature combustion as there is significant decrease in in-cylinder temperatures and pressures at higher speeds and higher swirl ratios.展开更多
As an important transportation infrastructure and transportation backbone in China,high-speed rail(HSR)plays a critical role in promoting the development of green and low-carbon transportation.Calculating the CO_(2) e...As an important transportation infrastructure and transportation backbone in China,high-speed rail(HSR)plays a critical role in promoting the development of green and low-carbon transportation.Calculating the CO_(2) emissions reduction performance of HSR will be conduci v e to pr omote the CO_(2) emissions r eduction w ork of the r ail w ay.Based on the Dalkic HSR CO_(2) emissions r eduction performance model,by adjusting the HSR CO_(2) emission factor(CEF HSR),the annual times of departures(T)and other parameters,this study develops a Chinese HSR CO_(2) emissions reduction performance model.Taking the Beijing-Shanghai HSR as the resear c h object,this study conducts a questionnaire survey to explore the substitution effect and demand effect of HSR on different transportation modes;collects data such as passenger v olume,av era ge electricity use and annual times of departures of the Beijing-Shanghai HSR in 2019;and calculates the CO_(2) emissions reduction performance of the Beijing-Shanghai HSR.This study has two main results:(1)It builds a Chinese HSR CO_(2) emissions reduction performance model based on substitution effect and demand effect.(2)In 2019,the CO_(2) emissions of the Beijing-Shanghai HSR are 2898233.62 t,the CO_(2) emissions reduction performance of the Beijing-Shanghai HSR is 17999482.8 t,the annual CO_(2) emissions of the Beijing-Shanghai line in‘No HSR’case are 7.2 times as in the’HSR’case and the PKT of the HSR is 10.2 g/pkm.Based on the research results,this study proposes three CO_(2) emissions reduction policy suggestions.This study would be helpful for further HSR CO_(2) emissions reduction resear c h and departments related to railway transportation management to make CO_(2) emissions reduction policies.展开更多
Based on the activity level and technical information of coal-fired power-generating units(CFPGU)obtained in China from 2011 to 2015,we,1)analyzed the time and spatial distribution of SO_(2) and NOx emission performan...Based on the activity level and technical information of coal-fired power-generating units(CFPGU)obtained in China from 2011 to 2015,we,1)analyzed the time and spatial distribution of SO_(2) and NOx emission performance of CFPGUs in China;2)studied the impact of installed capacity,sulfur content of coal combustion,and unit operation starting time on CFPGUs’pollutant emission performance;and 3)proposed the SO_(2) and NOx emission performance standards for coal-fired power plants based on the best available control technology.Our results show that:1)the larger the capacity of a CFPGU,the higher the control level and the faster the improvement;2)the CFPGUs in the developed eastern regions had significantly lower SO_(2) and NOx emission performance values than those in other provinces due to better economic and technological development and higher environmental management levels;3)the SO_(2) and NOx emission performance of the Chinese thermal power industry was significantly affected by the single-unit capacity,coal sulfur content,and unit operation starting time;and 4)based on the achievability analysis of best available pollution control technology,we believe that the CFPGUs’SO_(2) emission performance reference values should be 0.34 g/kWh for active units in general areas,0.8 g/kWh for active units in high-sulfur coal areas,and 0.13 g/kWh for newly built units and active units in key areas.In addition,the NOx emission performance reference values should be 0.35 g/kWh for active units in general areas and 0.175 g/kWh for new units and active units in key areas.展开更多
This paper presents results from investigating the ageing behaviour and performance of different warm mix asphalt （WMA） pavement mixtures also called energy reduced pavements. The mixtures were either prepared in th...This paper presents results from investigating the ageing behaviour and performance of different warm mix asphalt （WMA） pavement mixtures also called energy reduced pavements. The mixtures were either prepared in the laboratory or taken directly from a mixing plant. The study compared the rutting and fatigue behaviours of unaged material in comparison to long term laboratory aged material. In order to conduct the long term ageing, a special laboratory ageing protocol with different heating, cooling and watering cycles had been developed. The investigation revealed a quite controversial rutting behavior which could not be explained with the available data. While most aged energy reduced pavements showed increased rutting for other mixtures, lower rut depths could be found. As opposed to this finding, fatigue and stiffness of all aged energy reduced pave- ment samples compared to unaged samples improved significantly. The overall results led to the conclusion that the ageing of energy reduced pavement simulated in the laboratory is not very critical regarding their mechanical performance. Therefore, it was confrmed that the application of this type of pavement provides a good solution for saving on CO2 emissions. Another advantage is that by using energy reduced pavements the road con- struction season can be significantly prolonged.展开更多
Biomass derived vegetable oils are quite promising alternative fuels for agricultural diesel engines.Use of vegetable oils in diesel engines leads to slightly inferior performance and higher smoke emissions due to the...Biomass derived vegetable oils are quite promising alternative fuels for agricultural diesel engines.Use of vegetable oils in diesel engines leads to slightly inferior performance and higher smoke emissions due to their high viscosity.The performance of vegetable oils can be improved by modifying them through the transesterification process.In this present work,the performance of single cylinder water-cooled diesel engine using methyl-ester of Jatropha oil as the fuel was evaluated for its performance and exhaust emissions.The fuel properties of biodiesel such as kinematic viscosity,calorific value,flash point,carbon residue and specific gravity were found.Results indicate that B25 has closer performance to diesel and B100 has lower brake thermal efficiency mainly due to its high viscosity compared to diesel.The brake thermal efficiency for biodiesel and its blends was found to be slightly higher than that of diesel fuel at tested load conditions and there was no difference of efficiency between the biodiesel and its blended fuels.For Jatropha biodiesel and its blended fuels,the exhaust gas temperature increased with the increase of power and amount of biodiesel.However,its diesel blends showed reasonable efficiencies,lower smoke,CO_(2),CO and HC emissions.展开更多
基金Under the auspices of the National Natural Science Foundation of China(No.42101164)Major Project of Philosophy and Social Sciences in Colleges and Universities by Jiangsu Province(No.2024SJZD025)。
文摘Climate change caused by carbon emissions is a hot topic of concern.Enhancing carbon emission performance(CEP)emerges as a pivotal strategy to curtail carbon emissions,with the digital economy recognized as a crucial instrument for bolstering CEP.Grounded in theoretical analysis,this article takes the Yangtze River Delta region(YRD)as the research object and conducts empirical analysis for the period from 2010 to 2021.The Super Epsilon-Based Measure(EBM)model was employed to assess CEP,while the entropy method was used to quantify the level of the digital economy.Baseline regression models and mediation effect models were constructed to test the research hypotheses.Additionally,the Spatial Durbin Model(SDM)was utilized to analyze the spatial spillover effects of the digital economy.Some conclusions were drawn as follows.Firstly,both the digital economy and CEP exhibit growing trends and demonstrate significant spatial distribution characteristics.Cities with high CEP are increasingly concentrated along the Yangtze River and coastal areas.Meanwhile,the digital economy generally demonstrates a spatial distribution pattern of being higher in the southeast and lower in the northwest.Secondly,the digital economy exerts a notable and consistent positive influence on CEP,but this impact is not primarily achieved through promoting green technology innovation.Instead,the digital economy exhibits a stronger intermediary effect on CEP by facilitating industrial structure upgrading and rationalization.Thirdly,the digital economy significantly enhancing local CEP but having an insignificant impact on neighboring cities'CEP.To address these findings,cities ought to invest in digital infrastructure,incentivize digital innovation through policy and financial backing,and harness advanced technologies like 5G and blockchain to promote low-carbon,intelligent production and lifestyles,while enhancing industrial structure and regional cooperation to foster a low-carbon digital economy network.
基金Fundamental Research Funds for the Central UniversitiesNo.19lgzd09+2 种基金Guangdong Special Support ProgramPearl River S&T Nova Program of GuangzhouNo.201806010187
文摘Climate change resulting from CO_2 emissions has become an important global environmental issue in recent years.Improving carbon emission performance is one way to reduce carbon emissions.Although carbon emission performance has been discussed at the national and industrial levels,city-level studies are lacking due to the limited availability of statistics on energy consumption.In this study,based on city-level remote sensing data on carbon emissions in China from 1992–2013,we used the slacks-based measure of super-efficiency to evaluate urban carbon emission performance.The traditional Markov probability transfer matrix and spatial Markov probability transfer matrix were constructed to explore the spatiotemporal evolution of urban carbon emission performance in China for the first time and predict long-term trends in carbon emission performance.The results show that urban carbon emission performance in China steadily increased during the study period with some fluctuations.However,the overall level of carbon emission performance remains low,indicating great potential for improvements in energy conservation and emission reduction.The spatial pattern of urban carbon emission performance in China can be described as"high in the south and low in the north,"and significant differences in carbon emission performance were found between cities.The spatial Markov probabilistic transfer matrix results indicate that the transfer of carbon emission performance in Chinese cities is stable,resulting in a"club convergence"phenomenon.Furthermore,neighborhood backgrounds play an important role in the transfer between carbon emission performance types.Based on the prediction of long-term trends in carbon emission performance,carbon emission performance is expected to improve gradually over time.Therefore,China should continue to strengthen research and development aimed at improving urban carbon emission performance and achieving the national energy conservation and emission reduction goals.Meanwhile,neighboring cities with different neighborhood backgrounds should pursue cooperative economic strategies that balance economic growth,energy conservation,and emission reductions to realize low-carbon construction and sustainable development.
基金Supported by the National Natural Science Foundation of China (No. 60871053)the Major State Basic Research Development Program of China (No. 2013CB328901)
文摘In order to obtain higher emission performance than that of a traditional M-type cathode, we have developed a new type impregnated dispenser cathode. The new cathode is impregnated with a new active substance with molar ratio of 26BaO·29SrO·8Sc2O3 ·7CaO·Al2O3 . This paper introduces the emission performance, surface active material, and work function of the new cathode. At 1100℃B , the DC current density and pulse current density are 30.6±1.0 A/cm2 and 171.6±2.8 A/cm2 , respectively, 2.1 and 5.4 times of that of an M-type cathode. The work function of the new cathode is 1.668± 0.002 eV. High concentration O-Al-Sc-Sr-Ba and O-Al-Sc-Ba are found in the pores and at pore edges, respectively. By comparing the emission performances and surface characteristics of as-polished and as-cleaned cathodes, it is proposed that, the emission around pore ends forms the major part of the total emission for the new cathodes.
基金Supported by National Natural Science Foundation of China(41171436)National Social Science Foundation of China(14AZD002)
文摘As pig production is a main contributor of greenhouse gas(GHG) emissions from livestock sector,the carbon emissions of pig production are attracting increasing attention,especially in the developing countries. Based on the panel data of 30 provinces in China from 2001 to 2012,this paper measures the provincial carbon emission performance(CEP) of pig production and we use a Malmquist DEA approach to analyze the decomposition which includes desirable and undesirable output. Furthermore,the regional disparity in carbon emission performance of pig production is also analyzed and finally the convergence is tested. The main results are as follows:(i) there are provincial differences in carbon emission performance changing of pig production in China,and the carbon emission performance of pig production in 30 provinces has a downward trend during this period;(ii) among China’s three major economic regions,in terms of carbon emission performance of pig production,they are ranked in descending order as follows: Western China,Central China and Eastern China;(iii) convergence testing shows that there is a convergence trend for carbon emission performance both nationally and for the three regions.
基金supported by the Ministry of Education Research in the Humanities and Social Sciences Planning Fund(Grant No.21YJAZH087)the National Natural Science Foundation of China Innovation Research Group Project(Grant No.42121001)。
文摘To achieve carbon peak targets,realize carbon neutrality vision,and tackle global climate change,China must improve the carbon emission performance at the city level.Based on the carbon emission performance of 191 prefecture-level cities in China from 1997 to 2017,this paper analyses the evolution characteristics of urban carbon emission performance from three aspects:the overall spatial and temporal evolution,the differences according to both region and city size,and the differences among clusters categorized by carbon emission performance at the city level.This paper also reveals the impact of the social and economic transition on China’s carbon emission performance.The results show that:(1)The overall level of carbon emission performance of Chinese cities is low,and there is a downward trend during the study period.The differences in carbon emission performance among cities are convergent,but there is a wide gap between high and low values.(2)The carbon emission performance of cities in eastern coastal areas is higher than that in non-coastal areas cities.Large urban agglomerations and economically developed regions,such as provincial capitals,are the agglomeration areas of high urban carbon emission performance values.(3)The carbon emission performance level of cities with similar sizes will converge.At the same time,such changes will enhance the differences among carbon emission performances at the city level within the same region.(4)Cities that belong to high urban carbon emission performance clusters are mainly distributed in the eastern region.Such cities are classified into large cities,supercities,and megacities.Compared with low urban carbon emission performance clusters,cities in high urban carbon emission performance clusters show a higher proportion in the medium-high level and high level of carbon emission performance.Moreover,cities in high urban carbon emission performance clusters are more likely to improve their urban carbon emission performance.(5)The economic agglomeration effect,industrial structure adjustment and carbon intensity reduction have a significant impact on improving urban carbon emission performance.Population agglomeration has an incremental effect,and the anticipated benefits of environmental regulation have yet to be fully realized.The impacts of different clusters and different regions are variable.Finally,this paper advances policy enlightenment according to its research findings.
基金supported by the National"863"Program of China(No.2007AA03Z441)the National Natural Science Foundation of China(Nos.60607014 and 50572110)
文摘The emission properties of 2-um region fluorescence of Tm^3＋-Ho^3＋ co-doped tellurite glasses are investigated. Introducing F- ions to the composition of tellurite glasses plays a positive effect on the 2-#m emission. A maximum intensity of 2-um emission is achieved when 1.5-mol% Tm2O3 and 1-mol% Ho203 concentration are doped in the glasses. The emission cross section and gain coefficient of the ^5I8-^5I7 transition of Ho^3＋ are calculated. The emission cross section has a maximum of 1.29×10-20 cm^2 at 2048 nm wavelength. The results indicate that Tm＆3＋-Ho^3＋ co-doped tellurite glasses are suitable for 2-um application.
基金the National Natural Science Foundation of China(Nos.51706103,51822605,51776181)the Fundamental Research Funds for the Central Universities,China,(Nos.CEPE2019010,30920031103)+1 种基金the Open Project of State Key Laboratory of Clean Energy Utilization,Zhejiang University,China,(Nos.ZJU-CEU2017011)great support given by the China Scholarship Council(No.201906845024)。
文摘In this study,the low emission combustion technology of Rich-Quench-Lean(RQL)has been applied in Trapped-Vortex Combustor(TVC),and the combinative RQL-TVC shows a promising low emissions performance.By utilizing a quench orifice plate combined with a bluffbody,a lab-scale RQL-TVC was designed.The flow fields of RQL-TVC were measured by 2-D PIV and predicted by 3-D numerical simulation.Flow structures,radial profiles of normalized mean axial velocity,turbulence intensity and mixing level of the quench zone were analyzed.Results reveal that the dual-vortex and the single-vortex flow patterns both exist in cavities and quench zone of RQL-TVC,and the turbulence intensity is strong in the quench zone with some reverse flows.The spiral vortex was discussed by 3-D streamlines and the detail flow structures of the quench zone were analyzed based on the numerical results.The mixing level of the quench zone was determined,and results show that the quench device enhances the mixing level compared with TVC.Combustion efficiency and emissions performance were investigated experimentally,and results demon-strate that RQL-TVC has relatively higher combustion efficiency and lower emission index of CO,UHC and NO_xthan the same size lab-scale TVC in present work.
文摘Great efforts have been made to resolve the serious environmental pollution and inevitable declining of energy resources. A review of Chinese fuel reserves and engine technology showed that compressed natural gas (CNG)/diesel dual fuel engine (DFE) was one of the best solutions for the above problems at present. In order to study and improve the emission performance of CNG/diesel DFE, an emission model for DFE based on radial basis function (RBF) neural network was developed which was a black-box input-output training data model not require priori knowledge. The RBF centers and the connected weights could be selected automatically according to the distribution of the training data in input-output space and the given approximating error. Studies showed that the predicted results accorded well with the experimental data over a large range of operating conditions from low load to high load. The developed emissions model based on the RBF neural network could be used to successfully predict and optimize the emissions performance of DFE. And the effect of the DFE main performance parameters, such as rotation speed, load, pilot quantity and injection timing, were also predicted by means of this model. In resumé, an emission prediction model for CNG/diesel DFE based on RBF neural network was built for analyzing the effect of the main performance parameters on the CO, NOx emissions of DFE. The predicted results agreed quite well with the traditional emissions model, which indicated that the model had certain application value, although it still has some limitations, because of its high dependence on the quantity of the experimental sample data.
基金Received 14 February 2025accepted 20 February 2025。
文摘Organic light-emitting devices have attracted significant research interest due to their several advantages including flexibility,lightweight design,and low manufacturing cost.Upon the electric current applied,their emitted light is typically unpolarized,whose electromagnetic fields oscillate randomly in all directions[1].In contrast,polarized light,resulting from electromagnetic field oscillating in a specific direction,is crucial for various applications such as optical communication.
文摘Homogeneous charge compression ignition(HCCI) mode of combustion is popularly known for achieving simultaneous reduction of NOx as well as soot emissions as it combines the compression ignition(CI) and spark ignition(SI) engine features. In this work, a CI engine was simulated to work in HCCI mode and was analyzed to study the effect of induction induced swirl under varying speeds using three-zone extended coherent flame combustion model(ECFM-3Z, compression ignition) of STAR-CD. The analysis was done considering speed ranging from 800 to 1600 r/min and swirl ratios from 1 to 4. The present study reveals that ECFM-3Z model has well predicted the performance and emissions of CI engine in HCCI mode. The simulation predicts reduced in-cylinder pressures, temperatures, wall heat transfer losses, and piston work with increase in swirl ratio irrespective of engine speed. Also, simultaneous reduction in CO2 and NOx emissions is realized with higher engine speeds and swirl ratios. Low speeds and swirl ratios are favorable for low CO2 emissions. It is observed that increase in engine speed causes a marginal reduction in in-cylinder pressures and temperatures. Also, higher turbulent energy and velocity magnitude levels are obtained with increase in swirl ratio, indicating efficient combustion necessitating no modifications in combustion chamber design. The investigations reveal a total decrease of 38.68% in CO2 emissions and 12.93% in NOx emissions when the engine speed increases from 800 to 1600 r/min at swirl ratio of 4. Also an increase of 14.16% in net work done is obtained with engine speed increasing from 800 to 1600 r/min at swirl ratio of 1. The simulation indicates that there is a tradeoff observed between the emissions and piston work. It is finally concluded that the HCCI combustion can be regarded as low temperature combustion as there is significant decrease in in-cylinder temperatures and pressures at higher speeds and higher swirl ratios.
基金This study was supported by the Fundamental Research Funds for the Central Universities(Grant No.2022YJS053).
文摘As an important transportation infrastructure and transportation backbone in China,high-speed rail(HSR)plays a critical role in promoting the development of green and low-carbon transportation.Calculating the CO_(2) emissions reduction performance of HSR will be conduci v e to pr omote the CO_(2) emissions r eduction w ork of the r ail w ay.Based on the Dalkic HSR CO_(2) emissions r eduction performance model,by adjusting the HSR CO_(2) emission factor(CEF HSR),the annual times of departures(T)and other parameters,this study develops a Chinese HSR CO_(2) emissions reduction performance model.Taking the Beijing-Shanghai HSR as the resear c h object,this study conducts a questionnaire survey to explore the substitution effect and demand effect of HSR on different transportation modes;collects data such as passenger v olume,av era ge electricity use and annual times of departures of the Beijing-Shanghai HSR in 2019;and calculates the CO_(2) emissions reduction performance of the Beijing-Shanghai HSR.This study has two main results:(1)It builds a Chinese HSR CO_(2) emissions reduction performance model based on substitution effect and demand effect.(2)In 2019,the CO_(2) emissions of the Beijing-Shanghai HSR are 2898233.62 t,the CO_(2) emissions reduction performance of the Beijing-Shanghai HSR is 17999482.8 t,the annual CO_(2) emissions of the Beijing-Shanghai line in‘No HSR’case are 7.2 times as in the’HSR’case and the PKT of the HSR is 10.2 g/pkm.Based on the research results,this study proposes three CO_(2) emissions reduction policy suggestions.This study would be helpful for further HSR CO_(2) emissions reduction resear c h and departments related to railway transportation management to make CO_(2) emissions reduction policies.
基金supported by the National Key Research and Development Plan(No.2016YFC0208400).
文摘Based on the activity level and technical information of coal-fired power-generating units(CFPGU)obtained in China from 2011 to 2015,we,1)analyzed the time and spatial distribution of SO_(2) and NOx emission performance of CFPGUs in China;2)studied the impact of installed capacity,sulfur content of coal combustion,and unit operation starting time on CFPGUs’pollutant emission performance;and 3)proposed the SO_(2) and NOx emission performance standards for coal-fired power plants based on the best available control technology.Our results show that:1)the larger the capacity of a CFPGU,the higher the control level and the faster the improvement;2)the CFPGUs in the developed eastern regions had significantly lower SO_(2) and NOx emission performance values than those in other provinces due to better economic and technological development and higher environmental management levels;3)the SO_(2) and NOx emission performance of the Chinese thermal power industry was significantly affected by the single-unit capacity,coal sulfur content,and unit operation starting time;and 4)based on the achievability analysis of best available pollution control technology,we believe that the CFPGUs’SO_(2) emission performance reference values should be 0.34 g/kWh for active units in general areas,0.8 g/kWh for active units in high-sulfur coal areas,and 0.13 g/kWh for newly built units and active units in key areas.In addition,the NOx emission performance reference values should be 0.35 g/kWh for active units in general areas and 0.175 g/kWh for new units and active units in key areas.
文摘This paper presents results from investigating the ageing behaviour and performance of different warm mix asphalt （WMA） pavement mixtures also called energy reduced pavements. The mixtures were either prepared in the laboratory or taken directly from a mixing plant. The study compared the rutting and fatigue behaviours of unaged material in comparison to long term laboratory aged material. In order to conduct the long term ageing, a special laboratory ageing protocol with different heating, cooling and watering cycles had been developed. The investigation revealed a quite controversial rutting behavior which could not be explained with the available data. While most aged energy reduced pavements showed increased rutting for other mixtures, lower rut depths could be found. As opposed to this finding, fatigue and stiffness of all aged energy reduced pave- ment samples compared to unaged samples improved significantly. The overall results led to the conclusion that the ageing of energy reduced pavement simulated in the laboratory is not very critical regarding their mechanical performance. Therefore, it was confrmed that the application of this type of pavement provides a good solution for saving on CO2 emissions. Another advantage is that by using energy reduced pavements the road con- struction season can be significantly prolonged.
文摘Biomass derived vegetable oils are quite promising alternative fuels for agricultural diesel engines.Use of vegetable oils in diesel engines leads to slightly inferior performance and higher smoke emissions due to their high viscosity.The performance of vegetable oils can be improved by modifying them through the transesterification process.In this present work,the performance of single cylinder water-cooled diesel engine using methyl-ester of Jatropha oil as the fuel was evaluated for its performance and exhaust emissions.The fuel properties of biodiesel such as kinematic viscosity,calorific value,flash point,carbon residue and specific gravity were found.Results indicate that B25 has closer performance to diesel and B100 has lower brake thermal efficiency mainly due to its high viscosity compared to diesel.The brake thermal efficiency for biodiesel and its blends was found to be slightly higher than that of diesel fuel at tested load conditions and there was no difference of efficiency between the biodiesel and its blended fuels.For Jatropha biodiesel and its blended fuels,the exhaust gas temperature increased with the increase of power and amount of biodiesel.However,its diesel blends showed reasonable efficiencies,lower smoke,CO_(2),CO and HC emissions.
