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• W2963537061 abstract "To facilitate the integration of buildings to the power grid, battery-equivalent models have been proposed to characterize and quantify aggregate flexibility from building loads. An analytical method has been proposed to construct such a flexibility model for thermostatically controlled loads. Since this analytical method is derived from a simplified representation of building thermal dynamics, it is necessary to evaluate the resulting flexibility model in a more realistic context. This paper focuses on the validation of this analytical method for estimating aggregate flexibility from residential air conditioning (ACs) systems. A high-fidelity model is first developed to mimic thermal behaviors of a residential AC system through a co-simulation between Modelica and EnergyPlus. A population of virtual residential AC systems is then generated by randomizing parameters of the high-fidelity model. Finally, an aggregate flexibility model is constructed for the residential AC population using the analytical method and validated using results from simulation of the high-fidelity model. It is found that the flexibility estimated using the analytical method is with reasonable accuracy, but can be improved by explicitly incorporating heat gains into the method." @default.
• W2963537061 created "2019-07-30" @default.
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• W2963537061 date "2019-10-01" @default.
• W2963537061 modified "2023-10-17" @default.
• W2963537061 title "Validation on aggregate flexibility from residential air conditioning systems for building-to-grid integration" @default.
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• W2963537061 doi "https://doi.org/10.1016/j.enbuild.2019.07.043" @default.
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