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Dynamic knowledge graph approach for modelling the decarbonisation of power

Energy and AI 2024年第3期17卷 48-64页

作者： Wanni Xie Feroz Farazi John Atherton Jiaru Bai Sebastian Mosbach Jethro Akroyd Markus Kraft Department of Chemical Engineering and Biotechnology University of CambridgePhilippa Fawcett DriveCambridge CB30ASUK CARES Cambridge Centre for Advanced Research and Education in Singapore1 Create WayCREATE Tower#05-05Singapore138602Singapore School of Chemical and Biomedical Engineering Nanyang Technological University62 Nanyang DriveSingapore637459Singapore The Alan Turing Institute LondonNW12DBUK

This paper presents a dynamic knowledge graph approach that offers a reusable,interoperable,and extensible framework for modelling power *** ontologies have been developed to support a linked data representation of infrastructure data,socio-demographic data,areal attributes like demand,and models describing power *** knowledge graph links the data with a hierarchical representation of administrative regions,supporting geospatial queries to retrieve information about the population within the vicinity of a power plant,the number of power plants,total generation capacity,and demand within specific *** agents were developed to operate on the knowledge *** agents performed tasks including data uploading,updating,retrieval,processing,model construction and scenario analysis.A derived information framework was used to track the provenance of information calculated by agents involved in each *** knowledge graph was populated with data describing the UK power *** alternative models of the transmission grid with different levels of structural resolution were instantiated,providing the foundation for the power system simulation and optimisation tasks performed by the *** application of the dynamic knowledge graph was demonstrated via a case study that investigates clean energy transition trajectories based on the deployment of Small Modular Reactors in the UK.

关键词： Power system modelling Decarboni sation Dynanic knowledge graph ontology and semantic web

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