The conversion of carbon dioxide(CO_(2))to the reduced chemical compounds offers substantial environmental benefits through minimizing the emission of greenhouse gas and fostering sustainable practices.Recently,the un...The conversion of carbon dioxide(CO_(2))to the reduced chemical compounds offers substantial environmental benefits through minimizing the emission of greenhouse gas and fostering sustainable practices.Recently,the unique properties of metal-organic frameworks(MOFs)make them attractive candidates for electrocatalytic CO_(2) reduction reaction(CO_(2)RR),providing many opportunities to develop efficient,selective,and environmentally sustainable processes for mitigating CO_(2) emissions and utilizing CO_(2) as a valuable raw material for the synthesis of fuels and chemicals.Here,the recent advances in MOFs as efficient catalysts for electrocatalytic CO_(2)RR are summarized.The detailed characteristics,electrocatalytic mechanisms,and practical approaches for improving the electrocatalytic efficiency,selectivity,and durability of MOFs under realistic reaction conditions are also clarified.Furthermore,the outlooks on the prospects of MOFbased electrocatalysts in CO_(2)RR are provided.展开更多
In recent years,subsynchronous control interaction(SSCI)has frequently taken place in renewable-connected power systems.To counter this issue,utilities have been seeking tools for fast and accurate identification of S...In recent years,subsynchronous control interaction(SSCI)has frequently taken place in renewable-connected power systems.To counter this issue,utilities have been seeking tools for fast and accurate identification of SSCI events.The main challenges of SSCI monitoring are the time-varying nature and uncertain modes of SSCI events.Accordingly,this paper presents a simple but effective method that takes advantage of intrinsic time-scale decomposition(ITD).The main purpose is to improve the accuracy and robustness of ITD by incorporating the least-squares method.Results show that the proposed method strikes a good balance between dynamic performance and estimation accuracy.More importantly,the method does not require any prior information,and its performance is therefore not affected by the frequency constitution of the SSCI.Comprehensive comparative studies are conducted to demonstrate the usefulness of the method through synthetic signals,electromagnetic temporary program(EMTP)simulations,and field-recorded SSCI data.Finally,real-time simulation tests are conducted to show the feasibility of the method for real-time monitoring.展开更多
基金Foundation of Sichuan University of Science&Engineering (2023RC01)funding support from City University of Hong Kong (9380117 and 7020089)Hong Kong Institute for Advanced Study,City University of Hong Kong,Hong Kong,China。
文摘The conversion of carbon dioxide(CO_(2))to the reduced chemical compounds offers substantial environmental benefits through minimizing the emission of greenhouse gas and fostering sustainable practices.Recently,the unique properties of metal-organic frameworks(MOFs)make them attractive candidates for electrocatalytic CO_(2) reduction reaction(CO_(2)RR),providing many opportunities to develop efficient,selective,and environmentally sustainable processes for mitigating CO_(2) emissions and utilizing CO_(2) as a valuable raw material for the synthesis of fuels and chemicals.Here,the recent advances in MOFs as efficient catalysts for electrocatalytic CO_(2)RR are summarized.The detailed characteristics,electrocatalytic mechanisms,and practical approaches for improving the electrocatalytic efficiency,selectivity,and durability of MOFs under realistic reaction conditions are also clarified.Furthermore,the outlooks on the prospects of MOFbased electrocatalysts in CO_(2)RR are provided.
基金supported in part by the National Natural Science Foundation of China(No.51907133)in part by the Fundamental Research Funds for the Central Universities(No.YJ201911).
文摘In recent years,subsynchronous control interaction(SSCI)has frequently taken place in renewable-connected power systems.To counter this issue,utilities have been seeking tools for fast and accurate identification of SSCI events.The main challenges of SSCI monitoring are the time-varying nature and uncertain modes of SSCI events.Accordingly,this paper presents a simple but effective method that takes advantage of intrinsic time-scale decomposition(ITD).The main purpose is to improve the accuracy and robustness of ITD by incorporating the least-squares method.Results show that the proposed method strikes a good balance between dynamic performance and estimation accuracy.More importantly,the method does not require any prior information,and its performance is therefore not affected by the frequency constitution of the SSCI.Comprehensive comparative studies are conducted to demonstrate the usefulness of the method through synthetic signals,electromagnetic temporary program(EMTP)simulations,and field-recorded SSCI data.Finally,real-time simulation tests are conducted to show the feasibility of the method for real-time monitoring.
