The hydrogen evolution reaction(HER) is a half-cell reaction in water electrolysis for producing hydrogen gas. In industrial water electrolysis, the HER is often conducted in alkaline media to achieve higher stability...The hydrogen evolution reaction(HER) is a half-cell reaction in water electrolysis for producing hydrogen gas. In industrial water electrolysis, the HER is often conducted in alkaline media to achieve higher stability of the electrode materials. However, the kinetics of the HER in alkaline medium is slow relative to that in acid because of the low concentration of protons in the former.Under the latter conditions, the entire HER process will require additional effort to obtain protons by water dissociation near or on the catalyst surface. Heterostructured catalysts, with fascinating synergistic effects derived from their heterogeneous interfaces, can provide multiple functional sites for the overall reaction process. At present, the activity of the most active known heterostructured catalysts surpasses(platinum-based heterostructures) or approaches (noble-metal-free heterostructures) that of the commercial Pt/C catalyst under alkaline conditions, demonstrating an infusive potential to break through the bottlenecks. This review summarizes the most representative and recent heterostructured HER catalysts for alkaline medium. The basics and principles of the HER under alkaline conditions are first introduced, followed by a discussion of the latest advances in heterostructured catalysts with/without noblemetal-based heterostructures. Special focus is placed on approaches for enhancing the reaction rate by accelerating the Volmer step. This review aims to provide an overview of the current developments in alkaline HER catalysts, as well as the design principles for the future development of heterostructured nano-or micro-sized electrocatalysts.展开更多
A disubstituted quaterpyridine based cobalt complex non‐covalently tethered to multiwalled carbon nanotube(MWCNT)substrate,forming a hybrid catalyst,Co‐qpyCOOH/CNT,catalyzed the conversion of CO_(2) to CO under aque...A disubstituted quaterpyridine based cobalt complex non‐covalently tethered to multiwalled carbon nanotube(MWCNT)substrate,forming a hybrid catalyst,Co‐qpyCOOH/CNT,catalyzed the conversion of CO_(2) to CO under aqueous conditions.At an optimal and uniform loading,it exhibited remarkable catalytic activity,near‐exclusive selectivity,and high stability towards the formation of CO.At a mere cathodic potential of−0.65 V versus RHE(η=0.54 V),it achieved a high partial current density of−6.7 mA/cm^(2) and a F.E.CO=100%.In addition,with 20 h of stable operation,hydrogen evolution remained practically undetected.Its hybrid structure due to noncovalent immobilization on MWCNT imparted the intrinsic activity and much‐needed stability in performance whereas‒COOH groups may stabilize the intermediates by acting as H‐bond donors,promoting catalytic activity.Tethering to a conductive solid substrate and tuning of the second sphere of coordination played an important role in its performance to achieve desired reduction product with high selectivity and activity.展开更多
Utilizing electrocatalytic CO_(2)reduction(ECR)to decrease the carbon footprint has been regarded as a promising pathway.Herein,we report the synthesis of Ni nanoclusters(NCs)of below 2 nm highly dispersed on N-doped ...Utilizing electrocatalytic CO_(2)reduction(ECR)to decrease the carbon footprint has been regarded as a promising pathway.Herein,we report the synthesis of Ni nanoclusters(NCs)of below 2 nm highly dispersed on N-doped carbon using a Ni/Zn bimetallic metal-organic framework(MOF)precursor.The size and the content of the Ni catalyst can be effectively controlled by varying the Ni:Zn ratio in MOF precursors.The-NH2 group in MOF ligand critically influences the size of Ni catalyst,as well as the property of the carbon substrate.At the optimum ratio of 1:150,Ni NCs with an average size of 1.9 nm anchored on pyridinic N-rich carbon were obtained after MOF pyrolysis.The resultant catalyst exhibits a high Faradaic efficiency for CO(FECO,98.7%)and considerable partial current density for CO(JCO,−40.4 mA·cm^(−2))at−0.88 V versus reversible hydrogen electrode(RHE).Benefiting from the synergistic effect of small Ni clusters and their optimal interaction with the carbon support,the catalyst displays exceptional long-term stability.Density functional theory(DFT)calculations carried out for the three model structures confirm that Ni NCs anchored on N-doped carbon facilitate the easier formation of*COOH intermediate and faster electron transfer rate compared with the large-sized Ni particles represented by Ni(111)and the N-doped carbon without Ni.展开更多
Knowledge management in multi-domain,heterogeneous industrial networks like an Eco-Industrial Park(EIP)is a challenging task.In this paper,an ontology-based management system has been proposed for addressing this chal...Knowledge management in multi-domain,heterogeneous industrial networks like an Eco-Industrial Park(EIP)is a challenging task.In this paper,an ontology-based management system has been proposed for addressing this challenge.It focuses on the power systems domain and provides a framework for integrating this knowledge with the other domains of an EIP.The proposed ontology,OntoPowSys is expressed using a Description Logics(DL)syntax and the OWL2 language was used to make it alive.It is then used as a part of the Knowledge Management System(KMS)in a virtual EIP called the J-Park Simulator(JPS).The advantages of the proposed approach are demonstrated by conducting two case studies on the JPS.The first case study illustrates the application of optimal power flow(OPF)in the electrical network of the JPS.The second case study plays an important role in under-standing the cross-domain interactions between the chemical and electrical engineering domains in a bio-diesel plant of the JPS.These case studies are available as web services on the JPS website.The results showcase the advantages of using ontologies in the development of decision support tools.These tools are capable of taking into account contextual information on top of data during their decision-making processes.They are also able to exchange knowledge across different domains without the need for a communication interface.展开更多
This paper presents a system of autonomous intelligent software agents,based on a cognitive architecture,capable of automated instantiation,visualisation and analysis of multifaceted City Information Models in dynamic...This paper presents a system of autonomous intelligent software agents,based on a cognitive architecture,capable of automated instantiation,visualisation and analysis of multifaceted City Information Models in dynamic geospatial knowledge graphs.Design of JPS Agent Framework and Routed Knowledge Graph Access components was required in order to provide backbone infrastructure for an intelligent agent system as well as technology agnostic knowledge graph access enabling automation of multi-domain data interoperability.Development of CityImportAgent,CityExportAgent and DistanceAgent showcased intelligent automation capa-bilities of the Cities Knowledge Graph.The agents successfully created a semantic model of Berlin in LOD 2,compliant with CityGML 2.0 standard and consisting of 419909661 triples described using OntoCityGML.The system of agents also visualised and analysed the model by autonomously tracking interactions with a web interface as well as enriched the model by adding new information to the knowledge graph.This way it was possible to design a geospatial information system able to meet demands imposed by the Industry 4.0 and link it with the other multi-domain knowledge representations of The World Avatar.展开更多
The distribution of measurement noise is usually assumed to be Gaussian in the optimal phasor measurement unit(PMU)placement(OPP)problem.However,this is not always accurate in practice.This paper proposes a new OPP me...The distribution of measurement noise is usually assumed to be Gaussian in the optimal phasor measurement unit(PMU)placement(OPP)problem.However,this is not always accurate in practice.This paper proposes a new OPP method for smart grids in which the effects of conventional measurements,limited channels of PMUs,zero-injection buses(ZIBs),single PMU loss contingency,state estimation error(SEE),and the maximum SEE variance(MSEEV)are considered.The SEE and MSEEV are both obtained using a robust t-distribution maximum likelihood estimator(MLE)because t-distribution is more flexible for modeling both Gaussian and non-Gaussian noises.The A-and G-optimal experimental criteria are utilized to form the SEE and MSEEV constraints.This allows the optimization problem to be converted into a linear objective function subject to linear matrix inequality observability constraints.The performance of the proposed OPP method is verified by the simulations of the IEEE 14-bus,30-bus,and 118-bus systems as well as the 211-bus practical distribution system in China.展开更多
This paper presents a dynamic geospatial knowledge graph as part of The World Avatar project,with an underlying ontology based on CityGML 2.0 for three-dimensional geometrical city objects.We comprehensively evaluated...This paper presents a dynamic geospatial knowledge graph as part of The World Avatar project,with an underlying ontology based on CityGML 2.0 for three-dimensional geometrical city objects.We comprehensively evaluated,repaired and refined an existing CityGML ontology to produce an improved version that could pass the necessary tests and complete unit test development.A corresponding data transformation tool,originally designed to work alongside CityGML,was extended.This allowed for the transformation of original data into a form of semantic triples.We compared various scalable technologies for this semantic data storage and chose Blazegraph™as it provided the required geospatial search functionality.We also evaluated scalable hardware data solutions and file systems using the publicly available CityGML 2.0 data of Charlottenburg in Berlin,Germany as a working example.The structural isomorphism of the CityGML schemas and the OntoCityGML Tbox allowed the data to be transformed without loss of information.Efficient geospatial search algorithms allowed us to retrieve building data from any point in a city using coordinates.The use of named graphs and namespaces for data partitioning ensured the system performance stayed well below its capacity limits.This was achieved by evaluating scalable and dedicated data storage hardware capable of hosting expansible file systems,which strengthened the architectural foundations of the target system.展开更多
基金financial support provided by National Natural Science Foundation of China (Nos.61301026 and 51802073)the supports from the Talent Introduction Foundation (No.ZRC2014448)+1 种基金the Key Discipline Foundation (No.AKZDXK2015A01) of Anhui Science and Technology Universitythe financial support by the Singapore National Research Foundation under its Campus for Research Excellence And Technological Enterprise (CREATE) program through the Cambridge Center for Carbon Reduction in Chemical Technology (C4T) and eCO2EP programs
文摘The hydrogen evolution reaction(HER) is a half-cell reaction in water electrolysis for producing hydrogen gas. In industrial water electrolysis, the HER is often conducted in alkaline media to achieve higher stability of the electrode materials. However, the kinetics of the HER in alkaline medium is slow relative to that in acid because of the low concentration of protons in the former.Under the latter conditions, the entire HER process will require additional effort to obtain protons by water dissociation near or on the catalyst surface. Heterostructured catalysts, with fascinating synergistic effects derived from their heterogeneous interfaces, can provide multiple functional sites for the overall reaction process. At present, the activity of the most active known heterostructured catalysts surpasses(platinum-based heterostructures) or approaches (noble-metal-free heterostructures) that of the commercial Pt/C catalyst under alkaline conditions, demonstrating an infusive potential to break through the bottlenecks. This review summarizes the most representative and recent heterostructured HER catalysts for alkaline medium. The basics and principles of the HER under alkaline conditions are first introduced, followed by a discussion of the latest advances in heterostructured catalysts with/without noblemetal-based heterostructures. Special focus is placed on approaches for enhancing the reaction rate by accelerating the Volmer step. This review aims to provide an overview of the current developments in alkaline HER catalysts, as well as the design principles for the future development of heterostructured nano-or micro-sized electrocatalysts.
基金Zhejiang Provincial Natural Science Foundation of China,Grant/Award Number:LZ20B030001Agency for Science,Technology,and Research(A*STAR),Singapore,Grant/Award Number:AME Individual Research Grant(Grant A1983c0026)+1 种基金Campus for Research Excellence and Technological Enterprise(CREATE)program,National Research Foundation(NRF),Prime Minister's Office,SingaporeNational Natural Science Foundation of China,Grant/Award Numbers:21972106,51872209。
文摘A disubstituted quaterpyridine based cobalt complex non‐covalently tethered to multiwalled carbon nanotube(MWCNT)substrate,forming a hybrid catalyst,Co‐qpyCOOH/CNT,catalyzed the conversion of CO_(2) to CO under aqueous conditions.At an optimal and uniform loading,it exhibited remarkable catalytic activity,near‐exclusive selectivity,and high stability towards the formation of CO.At a mere cathodic potential of−0.65 V versus RHE(η=0.54 V),it achieved a high partial current density of−6.7 mA/cm^(2) and a F.E.CO=100%.In addition,with 20 h of stable operation,hydrogen evolution remained practically undetected.Its hybrid structure due to noncovalent immobilization on MWCNT imparted the intrinsic activity and much‐needed stability in performance whereas‒COOH groups may stabilize the intermediates by acting as H‐bond donors,promoting catalytic activity.Tethering to a conductive solid substrate and tuning of the second sphere of coordination played an important role in its performance to achieve desired reduction product with high selectivity and activity.
基金supported by Nanyang Technological University and the Singapore National Research Foundation(NRF)under its Campus for Research Excellence and Technological Enterprise(CREATE)program through the Cambridge Center for Advanced Research and Education in Singapore(CARES)Cambridge Center for Carbon Reduction in Chemical Technology(C4T)and through CARES and the Berkeley Educational Alliance for Research in Singapore(BEARS)eCO2P program.X.D.W.acknowledge the financial support from Natural Science Foundation of Jiangsu Province(No.BK20200711).
文摘Utilizing electrocatalytic CO_(2)reduction(ECR)to decrease the carbon footprint has been regarded as a promising pathway.Herein,we report the synthesis of Ni nanoclusters(NCs)of below 2 nm highly dispersed on N-doped carbon using a Ni/Zn bimetallic metal-organic framework(MOF)precursor.The size and the content of the Ni catalyst can be effectively controlled by varying the Ni:Zn ratio in MOF precursors.The-NH2 group in MOF ligand critically influences the size of Ni catalyst,as well as the property of the carbon substrate.At the optimum ratio of 1:150,Ni NCs with an average size of 1.9 nm anchored on pyridinic N-rich carbon were obtained after MOF pyrolysis.The resultant catalyst exhibits a high Faradaic efficiency for CO(FECO,98.7%)and considerable partial current density for CO(JCO,−40.4 mA·cm^(−2))at−0.88 V versus reversible hydrogen electrode(RHE).Benefiting from the synergistic effect of small Ni clusters and their optimal interaction with the carbon support,the catalyst displays exceptional long-term stability.Density functional theory(DFT)calculations carried out for the three model structures confirm that Ni NCs anchored on N-doped carbon facilitate the easier formation of*COOH intermediate and faster electron transfer rate compared with the large-sized Ni particles represented by Ni(111)and the N-doped carbon without Ni.
文摘Knowledge management in multi-domain,heterogeneous industrial networks like an Eco-Industrial Park(EIP)is a challenging task.In this paper,an ontology-based management system has been proposed for addressing this challenge.It focuses on the power systems domain and provides a framework for integrating this knowledge with the other domains of an EIP.The proposed ontology,OntoPowSys is expressed using a Description Logics(DL)syntax and the OWL2 language was used to make it alive.It is then used as a part of the Knowledge Management System(KMS)in a virtual EIP called the J-Park Simulator(JPS).The advantages of the proposed approach are demonstrated by conducting two case studies on the JPS.The first case study illustrates the application of optimal power flow(OPF)in the electrical network of the JPS.The second case study plays an important role in under-standing the cross-domain interactions between the chemical and electrical engineering domains in a bio-diesel plant of the JPS.These case studies are available as web services on the JPS website.The results showcase the advantages of using ontologies in the development of decision support tools.These tools are capable of taking into account contextual information on top of data during their decision-making processes.They are also able to exchange knowledge across different domains without the need for a communication interface.
文摘This paper presents a system of autonomous intelligent software agents,based on a cognitive architecture,capable of automated instantiation,visualisation and analysis of multifaceted City Information Models in dynamic geospatial knowledge graphs.Design of JPS Agent Framework and Routed Knowledge Graph Access components was required in order to provide backbone infrastructure for an intelligent agent system as well as technology agnostic knowledge graph access enabling automation of multi-domain data interoperability.Development of CityImportAgent,CityExportAgent and DistanceAgent showcased intelligent automation capa-bilities of the Cities Knowledge Graph.The agents successfully created a semantic model of Berlin in LOD 2,compliant with CityGML 2.0 standard and consisting of 419909661 triples described using OntoCityGML.The system of agents also visualised and analysed the model by autonomously tracking interactions with a web interface as well as enriched the model by adding new information to the knowledge graph.This way it was possible to design a geospatial information system able to meet demands imposed by the Industry 4.0 and link it with the other multi-domain knowledge representations of The World Avatar.
基金supported by the National Natural Science Foundation of China (No.61903314)Basic Research Program of Science and Technology of Shenzhen,China (No.JCYJ20190809162807421)+1 种基金Natural Science Foundation of Fujian Province (No.2019J05020)National Research Foundation,Prime Minister’s Office,Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE)programme。
文摘The distribution of measurement noise is usually assumed to be Gaussian in the optimal phasor measurement unit(PMU)placement(OPP)problem.However,this is not always accurate in practice.This paper proposes a new OPP method for smart grids in which the effects of conventional measurements,limited channels of PMUs,zero-injection buses(ZIBs),single PMU loss contingency,state estimation error(SEE),and the maximum SEE variance(MSEEV)are considered.The SEE and MSEEV are both obtained using a robust t-distribution maximum likelihood estimator(MLE)because t-distribution is more flexible for modeling both Gaussian and non-Gaussian noises.The A-and G-optimal experimental criteria are utilized to form the SEE and MSEEV constraints.This allows the optimization problem to be converted into a linear objective function subject to linear matrix inequality observability constraints.The performance of the proposed OPP method is verified by the simulations of the IEEE 14-bus,30-bus,and 118-bus systems as well as the 211-bus practical distribution system in China.
文摘This paper presents a dynamic geospatial knowledge graph as part of The World Avatar project,with an underlying ontology based on CityGML 2.0 for three-dimensional geometrical city objects.We comprehensively evaluated,repaired and refined an existing CityGML ontology to produce an improved version that could pass the necessary tests and complete unit test development.A corresponding data transformation tool,originally designed to work alongside CityGML,was extended.This allowed for the transformation of original data into a form of semantic triples.We compared various scalable technologies for this semantic data storage and chose Blazegraph™as it provided the required geospatial search functionality.We also evaluated scalable hardware data solutions and file systems using the publicly available CityGML 2.0 data of Charlottenburg in Berlin,Germany as a working example.The structural isomorphism of the CityGML schemas and the OntoCityGML Tbox allowed the data to be transformed without loss of information.Efficient geospatial search algorithms allowed us to retrieve building data from any point in a city using coordinates.The use of named graphs and namespaces for data partitioning ensured the system performance stayed well below its capacity limits.This was achieved by evaluating scalable and dedicated data storage hardware capable of hosting expansible file systems,which strengthened the architectural foundations of the target system.
基金supported by Singapore Ministry of Education Tier 2 (MOE2017-T2-1-009)Singapore National Research Foundation under its Campus for Research Excellence And Technological Enterprise (CREATE) programme+2 种基金Singapore Berkeley Research Initiative for Sustainable Energy (Sin Be RISE)Cambridge Center for Carbon Reduction in Chemical Technology (C4T)eCO2EP programmes