The direct emission of waste refinery gas after combustion will cause a severe greenhouse effect.Recovering high-value-added ethylene from wasted refinery gas has fundamental economic and environmental significance. D...The direct emission of waste refinery gas after combustion will cause a severe greenhouse effect.Recovering high-value-added ethylene from wasted refinery gas has fundamental economic and environmental significance. Due to the complexity of the composition of refinery waste gas, designing and optimizing the whole recovery process is still a challenging task. Herein, a novel process(SCOAS) was proposed to obtain polymer-grade ethylene from wasted refinery gas through a direct separation process,and heat pump-assisted thermal integration optimization(HPSCOAS) was carried out. The unique feature of the novel approach is that a new stripper and ethylene reabsorber follow the dry gas absorber to ensure ethylene recovery and methane content. An industrial model, shallow cooling oil absorption(SCOA), and concentration combined cold separation system of ethylene unit using wasted refinery gas was established to analyze the technology and environment. Based on the detailed process modeling and simulation results, the quantitative sustainability assessment of economy and environment based on product life cycle process is carried out. The results show that compared with the traditional process when the same product is obtained, the total annual cost of the HPSCOAS process is the lowest, which is 15.4% lower than that of the SCOA process and 6.1% lower than that of the SCOAS process. In addition,compared with the SCOA process and the HPSCOAS process, the SCOAS process has more environmental advantages. The non-renewable energy consumed by SCOAS is reduced by about 24.8% and 6.1%, respectively. The CO_(2) equivalent is reduced by about 38.6% and 23.7%.展开更多
As the proportion of electricity in final energy consumption gradually increases,CO_(2) emissions reduction actions in the power system will become the key to achieving China’s carbon-peak and carbon-neutrality goals...As the proportion of electricity in final energy consumption gradually increases,CO_(2) emissions reduction actions in the power system will become the key to achieving China’s carbon-peak and carbon-neutrality goals.It is essential to analyse and quantify the driving forces of CO_(2) emissions from electricity generation in the fossil-rich area in China.This paper aims to identify the characteristics of CO_(2) emissions generated by electricity and provide a basis for formulating CO_(2)-reduction policies in power systems.First,we analyse the current state of CO_(2) emissions from electricity generation in Anhui Province that was dominated by fossil energy during the period 2010-19.Then,we apply the logarithmic mean Divisia index method to find the nature of the factors influencing the changes in CO_(2) emissions.Finally,we analyse the CO_(2)-reduction measures of each side of the source-network-load-storage of the power system in Anhui through a power-system carbon-reduction path analysis model proposed in this study and provide policy suggestions.The results showed the following.(i)CO_(2) emissions in Anhui Province continued to increase from 2010 to 2019 and the trend in the growth rate of CO_(2) emissions presented approximately a u-shaped curve.(ii)Economic activity has always been the dominant factor driving the growth of electricity CO_(2) emis-sions.The increase in the proportion of renewable energy in power generation,the improvement in thermal power-conversion efficiency and the decrease in the intensity of power consumption are the three major driving factors for the reduction in CO_(2) emissions from power generation in Anhui.(iii)The CO_(2)-reduction measures of the power system are provided in each link of the source-network-load-storage,such as developing the photovoltaic industry and building energy storage,upgrading and transforming coal-fired power stations,redu-cing the loss rate of transmission lines on the grid side and improving the efficiency of the utilization of electricity on the user side.展开更多
China is currently the largest emitter of carbon dioxide globally.The nation,vulnerable to the imminent challenges of climate change and greenhouse gas emissions,is determined to reduce emissions.Thus,by adopting a sy...China is currently the largest emitter of carbon dioxide globally.The nation,vulnerable to the imminent challenges of climate change and greenhouse gas emissions,is determined to reduce emissions.Thus,by adopting a systemstheory approach,this study is aimed at examining how the agricultural lands,output values,production activities,and populations,as well as the economic factors,influence carbon emissions in Sichuan Province.To offer insights into the long-term agricultural carbon emission(ACE)trajectories,a system dynamics model is used to predict the emission trends from 2023 to 2040.The findings indicate the following:①policy regulation exerts influence on the ACE in the province.As per the simulation results,regulating the gross domestic product growth of the primary industry at 2.5%,5%,and 10%will only increase the carbon emissions by 0.24%,0.25%,and 0.53%,respectively,by 2040,indicating that effective policy regulations can decouple economic growth from substantial increases in emissions,thereby underscoring their pivotal role in emission control.②Regulating the agricultural-economy growth rate and policies can effectively reduce ACEs in the province.③While single policies exert limited influence,combining multiple measures significantly boosts carbon reduction.For example,comprehensive strategies,including reduced pesticide use and marginal farmland conversion,can lower agricultural land carbon emissions by 3.48%,5.30%,and 7.47%(by 2035)and 1.67%,2.76%,and 3.65%(by 2040).Overall,these results emphasize the effectiveness of coordinated policies,alongside market control and land-use adjustments,in advancing low-carbon agricultural development.展开更多
基金support from the National Natural Science Foundation of China (22108307)。
文摘The direct emission of waste refinery gas after combustion will cause a severe greenhouse effect.Recovering high-value-added ethylene from wasted refinery gas has fundamental economic and environmental significance. Due to the complexity of the composition of refinery waste gas, designing and optimizing the whole recovery process is still a challenging task. Herein, a novel process(SCOAS) was proposed to obtain polymer-grade ethylene from wasted refinery gas through a direct separation process,and heat pump-assisted thermal integration optimization(HPSCOAS) was carried out. The unique feature of the novel approach is that a new stripper and ethylene reabsorber follow the dry gas absorber to ensure ethylene recovery and methane content. An industrial model, shallow cooling oil absorption(SCOA), and concentration combined cold separation system of ethylene unit using wasted refinery gas was established to analyze the technology and environment. Based on the detailed process modeling and simulation results, the quantitative sustainability assessment of economy and environment based on product life cycle process is carried out. The results show that compared with the traditional process when the same product is obtained, the total annual cost of the HPSCOAS process is the lowest, which is 15.4% lower than that of the SCOA process and 6.1% lower than that of the SCOAS process. In addition,compared with the SCOA process and the HPSCOAS process, the SCOAS process has more environmental advantages. The non-renewable energy consumed by SCOAS is reduced by about 24.8% and 6.1%, respectively. The CO_(2) equivalent is reduced by about 38.6% and 23.7%.
基金support from the State Grid Economic and Technological Research Institute,and financial support from the State Grid Corporation of China Headquarters Technology Project‘Research on Electricity Carbon Emission Accounting Methods and Key Technologies in New Type of Power System’(Project Number:52182021N006).
文摘As the proportion of electricity in final energy consumption gradually increases,CO_(2) emissions reduction actions in the power system will become the key to achieving China’s carbon-peak and carbon-neutrality goals.It is essential to analyse and quantify the driving forces of CO_(2) emissions from electricity generation in the fossil-rich area in China.This paper aims to identify the characteristics of CO_(2) emissions generated by electricity and provide a basis for formulating CO_(2)-reduction policies in power systems.First,we analyse the current state of CO_(2) emissions from electricity generation in Anhui Province that was dominated by fossil energy during the period 2010-19.Then,we apply the logarithmic mean Divisia index method to find the nature of the factors influencing the changes in CO_(2) emissions.Finally,we analyse the CO_(2)-reduction measures of each side of the source-network-load-storage of the power system in Anhui through a power-system carbon-reduction path analysis model proposed in this study and provide policy suggestions.The results showed the following.(i)CO_(2) emissions in Anhui Province continued to increase from 2010 to 2019 and the trend in the growth rate of CO_(2) emissions presented approximately a u-shaped curve.(ii)Economic activity has always been the dominant factor driving the growth of electricity CO_(2) emis-sions.The increase in the proportion of renewable energy in power generation,the improvement in thermal power-conversion efficiency and the decrease in the intensity of power consumption are the three major driving factors for the reduction in CO_(2) emissions from power generation in Anhui.(iii)The CO_(2)-reduction measures of the power system are provided in each link of the source-network-load-storage,such as developing the photovoltaic industry and building energy storage,upgrading and transforming coal-fired power stations,redu-cing the loss rate of transmission lines on the grid side and improving the efficiency of the utilization of electricity on the user side.
文摘China is currently the largest emitter of carbon dioxide globally.The nation,vulnerable to the imminent challenges of climate change and greenhouse gas emissions,is determined to reduce emissions.Thus,by adopting a systemstheory approach,this study is aimed at examining how the agricultural lands,output values,production activities,and populations,as well as the economic factors,influence carbon emissions in Sichuan Province.To offer insights into the long-term agricultural carbon emission(ACE)trajectories,a system dynamics model is used to predict the emission trends from 2023 to 2040.The findings indicate the following:①policy regulation exerts influence on the ACE in the province.As per the simulation results,regulating the gross domestic product growth of the primary industry at 2.5%,5%,and 10%will only increase the carbon emissions by 0.24%,0.25%,and 0.53%,respectively,by 2040,indicating that effective policy regulations can decouple economic growth from substantial increases in emissions,thereby underscoring their pivotal role in emission control.②Regulating the agricultural-economy growth rate and policies can effectively reduce ACEs in the province.③While single policies exert limited influence,combining multiple measures significantly boosts carbon reduction.For example,comprehensive strategies,including reduced pesticide use and marginal farmland conversion,can lower agricultural land carbon emissions by 3.48%,5.30%,and 7.47%(by 2035)and 1.67%,2.76%,and 3.65%(by 2040).Overall,these results emphasize the effectiveness of coordinated policies,alongside market control and land-use adjustments,in advancing low-carbon agricultural development.
