基于模型预测控制的智能楼宇暖通空调能量管理策略

提出一种基于模型预测控制的智能楼宇暖通空调能量管理策略。首先利用热量瞬态能量平衡方程构建智能楼宇制热/制冷能耗动态模型,以有效表征楼宇围护结构在传热过程中的热对流、热传导和热储能特性;进而构建基于模型预测控制的智能楼宇能量管理策略,结合模型预测和短期控制来最小化智能楼宇能耗,同时保证用户的温度舒适度水平。仿真结果表明,本文基于模型预测控制的智能楼宇能量管理策略不仅有助于降低用户用能成本,且能够有效提升楼宇侧可再生能源的接纳能力。

Energy Management Strategy for Heating,Ventilation and Air Conditioning in Smart Building Based on Model Predictive Control

An energy management strategy for the heating,ventilation and air conditioning in a smart building is pro. posed based on model predictive control(MPC). First,a dynamic energy consumption model of heating and cooling in the smart building is constructed using the transient energy balance equation to effectively characterize the heat convec. tion,conduction and storage features of the building’s enclosure structure in the heat transfer process. Then,an energy management strategy for the smart building is proposed based on MPC. In this way,the energy consumption of the smart building can be minimized with the combination of MPC and short-term control while ensuring the user’s temperature comfort level. Simulation results show that the proposed energy management strategy is not only helpful in reducing the cost of energy consumption but also can effectively improve the absorption capacity of renewable energies on the build. ing side.