Collection:Effects of district size on optimal energy hub configuration considering demand variability

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Description Energy demand may vary significantly between buildings in terms of the magnitude and timing of loads. In the residential sector, this variation is driven by the differing schedules, appliance portfolios, preferences and habits of individuals, as well as the differing physical characteristics of buildings and other factors. When the energy demand of multiple buildings is combined in the context of a district multi-energy system, the energy use patterns of different buildings are aggregated, affecting the sizing and cost of necessary infrastructure. The precise relationship, however, is unclear. This collection is used to address the following question: How does the size of a district energy system - in terms of the number of buildings included - influence the total system costs and the optimal sizing of the infrastructure? To address this question, the collection links three modules of the HUES platform, indicated above
Included modules Occupancy profile generator, Simple building energy model Rheinfelden, Energy hub batch run with minute resolution
Authors Andrew Bollinger
Related publications L.A. Bollinger and R. Evins (2015). HUES: A Holistic Urban Energy Simulation Platform for Effective Model Integration. CISBAT 2015, Lausanne, Switzerland.

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