The strategy of building energy consumption based on the carbon emission trading system under stochastic dynamic scenario

To achieve the “dual carbon goals” in building sector, the paper presents a novel building energy consumption strategy model during the operational phase based on the emission trading system (ETS). In the context of distributed grid layout, the best energy consumption strategy obtained by building users using stochastic dynamic programming (SDP) based on real-time electricity prices and carbon trading prices and their own energy consumption preferences. This makes the whole problem of multiobjective optimization including carbon trading and the cost of building operation. In this paper, the model is used to analyze a Chongqing building, and the sensitivity analysis of carbon permits costs is made. The results show that, (1) the cost of building carbon emissions has a significant impact on the operation of the building; (2) the user's energy consumption strategy can also affect operating costs; (3) the ETS achieves near-zero emissions while increasing building operating costs. This shows the importance and effectiveness of the ETS in the realization of “dual carbon goals” in building sector, and the value of building users actively developing energy consumption strategy.