This study is based on the DIMOSIM (DIstrict MOdeller and SIMulator) simulation platform for modelling and simulation of urban energy systems. In order to allow feasibility or concept studies but also the study of detailed control strategies, several levels of detail in the modelling of all necessary components have been implemented into the tool. This paper analyses different building modelling approaches: a mono-zone RC model and a multi-zone RC model distinguishing different zones uses as various electrical consumptions, occupancy profiles thus internal heat gains, control… The level of modelling detail in space and time resolution is determined to ensure the required accuracy for the district simulation objective.
Today building and especially city district data, its quality, availability and access are often very poor. Nevertheless, it is necessary to develop strategies for sustainable energy management in future smart cities. The City District Information Model (CDIM), which is an integrated data management concept for city districts, is introduced to support the conception and simulation of interdependent energy systems. Simulations based on different input data qualities are performed, showing that even small deviations from the accurate construction standards or building dimensions considerably affect the resulting energy demand and the corresponding costs. In particular, for new or refurbished buildings, the insulation standards and supply systems are hard to estimate. Furthermore, the availability of on-site renewable energy sources strongly influences the energy balances. Simulations performed for a typical semi-detached house in Germany revealed differences of up to 57 % in primary energy demand based on typical deviations in simulation parameters.
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