Energy trade off analysis of optimized daily temperature setpoints
作者： Ali Ghahramani , Kanu Dutta , Burcin Becerik-Gerber
DOI: 10.1016/J.JOBE.2018.06.012
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摘要: Author(s): Ghahramani, Ali; Dutta, Kanu; Becerik-Gerber, Burcin | Abstract: We introduce a systematic approach for analyzing the energy consumption of four control policies (i.e., zone level daily optimal control, annual building control), which differed based on their temporal and spatial scales. In order to integrate occupant thermal comfort requirements, we defined uniformly distributed random constraint functions setpoints. used DOE reference small office in three U.S. climate zones simulating performances policies, using EnergyPlus. Among policy showed close highest efficiency (27.76% 50.91% (average 39.81%) savings depending climate) with comparatively training data requirements. addition, setpoint selection, subject constraints, leads 17.64 – 38.37% 26.61%) climate. also demonstrate that scale have statistically significant impact building’s while scale’s is insignificant.
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