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A numerical analysis of power consumption differences between planning and operation stages using mutual information

机译:使用相互信息对计划和运营阶段之间的功耗差异进行数值分析

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Building energy system that includes renewable energy is often considered as an effective method of saving energy and reducing emission. However, the energy consumption of the building energy system during the operational stage usually deviates from the expectation of the planning stage. The deviation causes the energy system to fail to play its role in energy conservation and emission reduction. Due to the intermittent and volatility of renewable energy optimization of supply side and demand side matching are often considered an effective way to reduce system energy consumption. This paper uses mutual information as a quantitative indicator to analyze the fluctuation of the energy consumption difference between the planning stage and operation stage. Firstly, a building energy system containing renewable energy and its control strategy is constructed as a planning model. Then, generated uniform distribution errors are used to simulate the mismatch of power consumption of supply and demand in the simulation control phase. Moreover, the mutual information is used for analysis. The final results show that as the mutual information increasing the deviation of the power consumption data in the planning and operation phases will be significantly reduced and tend to be planned value.
机译:包含可再生能源的建筑能源系统通常被认为是节约能源和减少排放的有效方法。但是,在运营阶段,建筑能源系统的能耗通常会偏离计划阶段的预期。这种偏离导致能源系统无法在节能和减排中发挥作用。由于可再生能源的间歇性和波动性,通常将供方和需求方匹配的优化视为降低系统能耗的有效方法。本文以相互信息为定量指标,分析了规划阶段和运营阶段之间的能耗差异波动。首先,将包含可再生能源及其控制策略的建筑能源系统构建为规划模型。然后,在模拟控制阶段,使用生成的均匀分布误差来模拟供需功耗的不匹配。此外,将相互信息用于分析。最终结果表明,随着相互信息的增加,计划和操作阶段中功耗数据的偏差将大大减少,并趋于成为计划值。

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