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

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.