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A. Mahdavi, N. Ghiassi:
"Urban energy computing: an hourglass model";
Keynote Lecture: Building Simulation Applications - 3rd IBPSA-Italy Conference Bozen-Bolzano 8.2.17 - 10.2.17, Bozen, Italien (invited); 2017-02-08 - 2017-02-10; in: "Building Simulation Applications Proceedings", M Baratieri, V. Corrado, A. Gasparella, F. Patuzzi (ed.); bu.press (publisher of the Free University of Bozen-Bolzano), 3. (2017), ISSN: 2531-6702; Paper ID Keynote 01, 9 pages.

This contribution describes an urban energy modelling method, which enables the use of dynamic performance simulation for urban-scale energy inquiries. The associated framework involves two components. The first component is tasked with the systematic reduction of the computation domain through clustering based sampling of the urban building stock. The second component recovers part of the lost diversity (due to the reductive procedure) via stochastic variation of selected model parameters such as thermal properties of building components and occupancy-related factors.

(no german version) This contribution describes an urban energy modelling method, which enables the use of dynamic performance simulation for urban-scale energy inquiries. The associated framework involves two components. The first component is tasked with the systematic reduction of the computation domain through clustering based sampling of the urban building stock. The second component recovers part of the lost diversity (due to the reductive procedure) via stochastic variation of selected model parameters such as thermal properties of building components and occupancy-related factors.