关键词: 楼宇热惯性, 电动汽车, 随机优化, 智能楼宇

Abstract: With the growth of economy, the proportion of building construction in electricity consumption is increasing. Optimizing the energy management strategy of buildings can effectively promote energy conservation and emission reduction. In commercial building loads, air conditioning loads and electric vehicles account for a large proportion of energy consumption. Therefore, this paper proposes a commercial intelligent building energy management model with electric vehicle access considering building thermal inertia. Through Monte Carlo simulation, the behavior characteristics of electric vehicles are modeled. Then, based on the heat capacity-thermal resistance model, a building thermal dynamic equilibrium equation is established. Finally, a scenario-based stochastic planning is used to establish an intelligent commercial building energy management model and Conditional Value at Risk (CVaR) is introduced to increase certain conservatism. The results of the case analysis prove that considering building thermal inertia can effectively reduce the operating cost of air conditioning load by 9.7% and increase the revenue by 1.4%. CVaR can reduce the comprehensive expected return of buildings while also reducing the operational risk of buildings.

Key words: thermal inertia, electric vehicles, stochastic programming, Smart Buildings