Modelling uncertainty in district energy simulations by stochastic residential occupant behaviour

作者: Ruben Baetens , Dirk Saelens

DOI: 10.1080/19401493.2015.1070203

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摘要: Occupant behaviour has long been of main interest in the domain building energy-savings and indoor air quality its importance is recognized by wide coverage literature. In recent developments detailed transient energy simulations, including occupant as a boundary condition for thermal comfort, system efficiency calculations have major research topic, given significant impact. A simultaneous growing district simulations raises similar questions at aggregate level, where upscaling from to an neighbourhood level spatial scale low-voltage feeder results natural regression mean lowering uncertainty, compared household. The presented work starts with description StROBe, stochastic residential integrating modelling receptacle loads, internal heat gains, thermostat settings hot water tappings ...

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