China has abundant renewable energy resources.With the establishment of carbon peaking and carbon neutrality goals,renewable energy sources such as wind power and photovoltaics have undergone tremendous development.Ho...China has abundant renewable energy resources.With the establishment of carbon peaking and carbon neutrality goals,renewable energy sources such as wind power and photovoltaics have undergone tremendous development.However,because of the randomness and volatility of wind and photovoltaic power,the large-scale development of renewable energy faces challenges with accommodation and transmission.At present,the bundling of wind–photovoltaic–thermal power with ultra-high voltage transmission projects is the main development approach for renewable energy bases in western and northern China.Nonetheless,solving the problems of high carbon dioxide emission,carbon dioxide capture,and the utilization of thermal power is still necessary.Based on power-to-hydrogen,powerto-methanol,and oxygen-enriched combustion power generation technologies,this article proposes a power-to-hydrogen-andmethanol model based on the collaborative optimization of energy flow and material flow,which is expected to simultaneously solve the problems of renewable energy accommodation and low-carbon transformation of thermal power.Models with different ways of linking power to hydrogen and methanol are established,and an 8760-hour-time-series operation simulation is incorporated into the planning model.A case study is then conducted on renewable energy bases in the deserts of western and northern China.The results show that the power-to-hydrogen-and-methanol model based on the collaborative optimization of energy flow and material flow can greatly reduce the demand for hydrogen storage and energy storage,reduce the cost of carbon capture,make full use of by-product oxygen and captured carbon dioxide,and produce high-value chemical raw materials,thus exhibiting significant economic advantages.展开更多
The current study was carried out to determine the bioactivity of P. lentiscus leaf extracts as potential antibacterial and antioxidant properties. The plant extracts were examined for antibacterial activity against a...The current study was carried out to determine the bioactivity of P. lentiscus leaf extracts as potential antibacterial and antioxidant properties. The plant extracts were examined for antibacterial activity against antibiotic-resistant Staphylococcus aureus, Staphylococcus haemolyticus, Pseudomonas aeruginosa, and Proteus mirabilis using the agar well method (according to the guidelines of Clinical and Laboratory Standard Institute). The antioxidant potential of 3 plant leaf extracts was determined by their ability to convert Fe<sup>3+</sup> to Fe<sup>2+</sup> and scavenge the DPPH free radical. At all concentrations studied, the methanolic leaf extract had higher total phenolic and flavonoid content, as well as stronger antioxidant and antibacterial inhibitory activity compared to aqueous extract. Our findings with P. aeruginosa were especially interesting, because this bacterium was inhibited by methanol extract than that of the reference antibiotics. The results also demonstrated a link between DPPH radical scavenging ability, reducing power, and total phenolic and flavonoid content of plant extracts (r > 0.97, R<sup>2</sup> > 0.95, P = 0.01). As a result, the methanolic leaf extract of the chosen plant might be employed as an effective antioxidant and antibacterial agent for the treatment of a variety of morbidities.展开更多
为解决高渗透率可再生能源出力不确定性和负荷调节不灵活导致的电网运行弹性不足问题,该文提出了一种将绿电制氢合成甲醇系统等灵活性资源接入虚拟电厂(virtual power plant,VPP)参与需求响应并提供灵活性备用的解决方案。首先,建立绿...为解决高渗透率可再生能源出力不确定性和负荷调节不灵活导致的电网运行弹性不足问题,该文提出了一种将绿电制氢合成甲醇系统等灵活性资源接入虚拟电厂(virtual power plant,VPP)参与需求响应并提供灵活性备用的解决方案。首先,建立绿电制氢合成甲醇等灵活性资源的调节备用模型,考虑源荷相关性量化VPP灵活性需求解决源荷不匹配及波动误差问题;其次,为优化VPP自身灵活性充裕度,提出基于历史灵活性累计分布函数的充裕度及其概率量化指标方法,进一步提升调节能力;最后,为体现VPP参与者的利益竞争关系,设计了VPP运营商领导和负荷聚合商跟随的主从博弈模型,通过交互竞争求解VPP各时段出清电价和灵活资源用电策略。通过算例分析表明,该文所建模型合理可行、算法简便,具有较强的工程实践指导意义。展开更多
基金the financial support provided by the Major Program of Xiangjiang Laboratory(No.23XJ01006).
文摘China has abundant renewable energy resources.With the establishment of carbon peaking and carbon neutrality goals,renewable energy sources such as wind power and photovoltaics have undergone tremendous development.However,because of the randomness and volatility of wind and photovoltaic power,the large-scale development of renewable energy faces challenges with accommodation and transmission.At present,the bundling of wind–photovoltaic–thermal power with ultra-high voltage transmission projects is the main development approach for renewable energy bases in western and northern China.Nonetheless,solving the problems of high carbon dioxide emission,carbon dioxide capture,and the utilization of thermal power is still necessary.Based on power-to-hydrogen,powerto-methanol,and oxygen-enriched combustion power generation technologies,this article proposes a power-to-hydrogen-andmethanol model based on the collaborative optimization of energy flow and material flow,which is expected to simultaneously solve the problems of renewable energy accommodation and low-carbon transformation of thermal power.Models with different ways of linking power to hydrogen and methanol are established,and an 8760-hour-time-series operation simulation is incorporated into the planning model.A case study is then conducted on renewable energy bases in the deserts of western and northern China.The results show that the power-to-hydrogen-and-methanol model based on the collaborative optimization of energy flow and material flow can greatly reduce the demand for hydrogen storage and energy storage,reduce the cost of carbon capture,make full use of by-product oxygen and captured carbon dioxide,and produce high-value chemical raw materials,thus exhibiting significant economic advantages.
文摘The current study was carried out to determine the bioactivity of P. lentiscus leaf extracts as potential antibacterial and antioxidant properties. The plant extracts were examined for antibacterial activity against antibiotic-resistant Staphylococcus aureus, Staphylococcus haemolyticus, Pseudomonas aeruginosa, and Proteus mirabilis using the agar well method (according to the guidelines of Clinical and Laboratory Standard Institute). The antioxidant potential of 3 plant leaf extracts was determined by their ability to convert Fe<sup>3+</sup> to Fe<sup>2+</sup> and scavenge the DPPH free radical. At all concentrations studied, the methanolic leaf extract had higher total phenolic and flavonoid content, as well as stronger antioxidant and antibacterial inhibitory activity compared to aqueous extract. Our findings with P. aeruginosa were especially interesting, because this bacterium was inhibited by methanol extract than that of the reference antibiotics. The results also demonstrated a link between DPPH radical scavenging ability, reducing power, and total phenolic and flavonoid content of plant extracts (r > 0.97, R<sup>2</sup> > 0.95, P = 0.01). As a result, the methanolic leaf extract of the chosen plant might be employed as an effective antioxidant and antibacterial agent for the treatment of a variety of morbidities.
文摘为解决高渗透率可再生能源出力不确定性和负荷调节不灵活导致的电网运行弹性不足问题,该文提出了一种将绿电制氢合成甲醇系统等灵活性资源接入虚拟电厂(virtual power plant,VPP)参与需求响应并提供灵活性备用的解决方案。首先,建立绿电制氢合成甲醇等灵活性资源的调节备用模型,考虑源荷相关性量化VPP灵活性需求解决源荷不匹配及波动误差问题;其次,为优化VPP自身灵活性充裕度,提出基于历史灵活性累计分布函数的充裕度及其概率量化指标方法,进一步提升调节能力;最后,为体现VPP参与者的利益竞争关系,设计了VPP运营商领导和负荷聚合商跟随的主从博弈模型,通过交互竞争求解VPP各时段出清电价和灵活资源用电策略。通过算例分析表明,该文所建模型合理可行、算法简便,具有较强的工程实践指导意义。
