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When: Wednesday, 24 November 2021, 16:30 - 17:30
Where: Auditorium A12
Session description
A digital twin is a virtual representation of an asset, such as a building, electrical grid or even an entire city, which allows the impact of a particular component, process, or system to be studied. Progressive city authorities and grid operators draw on a diverse range of sensors and historical data to evaluate the best course of action when adding next-generation electrical infrastructure.
Combining all this data enables the streamlined modelling, monitoring, and management of real-world built environments. The simulations produced by digital twins allow the past, the present and possible futures to be studied with Artificial Intelligence (AI) and machine learning models harnessed to make sense of the data. This model can also identify areas of a city, or neighbourhoods, where the needs of users are closely matched. This gives rise to the opportunity to create economies of scale when introducing new electrification tools but requires a breakdown of siloes and necessary data-sharing between companies.
In this session by FORESIGHT Climate & Energy, we will look at the concept of digital twins in planning out ways to effectively decarbonise an urban area and if, through this research, there are ways that neighbours or multiple customers can collaborate on introducing new technologies to facilitate the use of zero-carbon electricity.
Session chair
David Weston
Editor, FORESIGHT Climate & Enery
Panel discussion
Trygve Skjøtskift
Ass. Partner for Environment, Energy & Utilities, IBM
Christian Anker Hviid
Associate Professor, DTU
Michael Ørsted
Head of Digitalization, City of Copenhagen
Anders Lyngtorp
City of Copenhagen