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N. Ghiassi, A. Mahdavi:
"Re-diversification of Predictions of a Reductive Urban Energy Modeling Method";
Poster: Building Simulation 2017 - 15th International Conference of the International Building Performance Simulation Association, San Francisco, USA; 2017-08-07 - 2017-08-09; in: "Proceedings of the 15th IBPSA Conference San Francisco, CA, USA, Aug. 7-9, 2017", IBPSA (ed.); IBPSA, (2017), 1011 - 1020.

The present contribution reports on the development of an
urban energy modelling method, which enables the
utilization of dynamic performance simulation for urban
scale energy inquiries. The developed framework is
composed of 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, the focus of this
paper, is concerned with the recovery of part of the lost
diversity, due to the reductive procedure. This is achieved
through readjustment of model parameters in multiple
simulation runs. In this regard, data-oriented parametric
modification of thermal properties of the building
components and occupant related aspects has been
attempted.

(no german version) The present contribution reports on the development of an
urban energy modelling method, which enables the
utilization of dynamic performance simulation for urban
scale energy inquiries. The developed framework is
composed of 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, the focus of this
paper, is concerned with the recovery of part of the lost
diversity, due to the reductive procedure. This is achieved
through readjustment of model parameters in multiple
simulation runs. In this regard, data-oriented parametric
modification of thermal properties of the building
components and occupant related aspects has been
attempted.