Urban Data
CITYtwin stores 2 broad categories of data. The first are datasets that represent the city infrastructure (buildings / roads / trees / energy systems) or represent physical properties affecting sustainability (for example, climate data, material thermal properties, heat pump performance values, occupancy schedules). All of these act as ‘input data’ allowing CITYtwin to generate digital twins of cities, and run what-if scenario simulations on them. The second category of data is the results of those simulations and calculations. For example, the heating demand of buildings for every hour through the year, or the operational cost of running a district heating network, or the peak electrical loads on a distribution grid. Datasets from both these categories (inputs & results) can be accessed & visualised via the front-ends, CITYlayers, WORKFLOWlauncher and RETROfitter. (Note - CITYdata is a new component of the CITYtwin that is being developed to provided a clean easy way of programmatically accessing both these categories of urban data.)
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