Thematic Working Group IV
Modelling and Analysis Data
Thematic Working Group IV
Led by The University of Strathclyde
Deploying data acquisition, advanced performance simulation, and data analytics in support of other thematic working groups
TWG IV will deploy data acquisition, advanced performance simulation, and data analytics in support of the other, subject-specific TWGs. A diverse range of data sources will be exploited to support the development and testing of decarbonisation solutions, physically and virtually. Sources include open OS and BGS datasets, open satellite data, IoT and deployed sensors. Performance simulation will be used extensively, with digital twins created to enable data-informed selection between heterogeneous decarbonisation options, support the design and optimisation of demonstrators, and to act as a reference against which to compare the effectiveness of demonstrated solutions. Further, modelling and simulation will be used to extrapolate the impact of the solutions to different use cases and scales. Data analytic tools and methodologies will be deployed to analyse the huge volume of data flowing from simulated and physical demonstrators, populate and calibrate digital twins, and provide the means to critically assess the performance of the demonstrated solutions. Dissemination of outcomes to very different stakeholder groups will be assisted by AI, with techniques such as natural language generation used to extract meaning from diverse, complex performance data, allowing end-users to make fully-informed decisions about decarbonisation options for our high-density buildings.
Dr Nick Kelly
Academic Lead
Dr Nick Kelly is a Reader in Energy Systems, based in the Department of Mechanical and Aerospace Engineering at the University of Strathclyde, with 30+ years’ research experience in energy and buildings. He is an internationally-recognised expert in modelling and simulation of buildings, applying this to diverse projects, including assessing demand flexibility from buildings and communities, the electrification of heat and mobility, simulation-based control of heating and cooling devices, mould growth prediction for housing, and analysis of photovoltaic-integrated facades.
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