Countries must make significant changes to their infrastructure and energy systems to meet their obligations under the Paris Agreement. A comprehensive approach is required to evaluate possible changes as the challenges posted by climate change are inherently interdisciplinary and interconnected. Digitalisation offers new ways to design and operate infrastructure, and will form an important part of the response to this challenge. Digital Twins composed of distributed collaborative entities that share, and combine data to answer complex questions have been identified as a key aspect of the move towards this digitalisation.
Through the visualisations below, we demonstrate how a comprehensive Digital Twin can be implemented as a dynamic Knowledge Graph using technologies from the Semantic Web. The Knowledge Graph includes the notions of a “base world” that describes the current state of the real world, and of “parallel worlds” that support the intelligent exploration of alternative scenarios.
Using the tools provided by The World Avatar, CMCL has created a UK based digital twin that supports queries across number of aspects of the UK energy related infrastructure, including the electrical power system, the gas transmission system and land use.
The knowledge graph based architecture of the digital twin allows to address cross-domain geospatial questions. The visualisation linked below shows an example that estimates the emissions intensity of each power generator in the UK. Each dot on the map corresponds to a generator, with the size of the dot corresponding to the capacity of the generator and the colour of the dot corresponding to the value of the estimated emissions intensity. In this example, the emissions intensity is calculated at the mass of carbon dioxide emitted per unit value of electricity generated and serves as a proxy for Indicator 9.4.1 of the UN Sustainable Development Goals (see right).