This paper presentsmethods and strategies about howtomodel and simu- late and optimize the energy demand and the energy supply ofwhole urban districts. For this purpose, different specialized modeling and simulation tools with different levels of detail, are combined to a higher strategy. To reach sufficient results for complex urban district models, this can be done for example with a variation in the level of detail of the physics, in the space and time resolution of the model or in the model accuracy. The application of these strategy is demonstrated by an use case of an energy infrastructure system for 2,000 new planned residential buildings in a 35 ha urban district, as a part of a New Town in northern Iran. Four different simulation based energy concepts were developed to obtain a highly primary energy demand and water demand reduction for the urban district. The best scenario demonstrates, that the use of energy efficient technologies together with an intensive usage of re- newable energies (mainly solar energy) can reduce the primary energy demand by more than 65 percent and the water demand by more than 80 percent.
CITATION STYLE
Nytsch-Geusen, C., Huber, J., & Ljubijankic, M. (2011). Building and Plant Simulation Strategies for the Design of Energy Efficient Districts. In Computational Design Modelling (pp. 171–180). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-23435-4_20
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