Monday August 26, 2019 from 13:40 to 15:00
Building energy management in energy-hub manner based on economic model predictive control
Jiangyu WANG1, Jiangyan LIU2, Guannan LI3, Yabin GUO1, Huanxin CHEN1, Yue YUAN1, Yao HUANG1.
1School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan, People's Republic of China; 2College of power engineering, Chongqing University, Chongqing, People's Republic of China; 3School of Urban Construction ,Wuhan University of Science and Technology, Wuhan, People's Republic of China
Building sector accounts for nearly 40% of the global energy consumption. As an efficient way to manage buildings energy, energy-hub are attached much attentions.
To investigate the energy saving potential of a commercial building, this paper proposes an approach based on the economic model predictive control (EMPC) in three scenarios under energy-hub framework.
First, EMPC is applied to minimize the building energy costs with variant electricity price and comfort range. Next, demand response problem with heat/electricity storage device is introduced. Finally, an additional generation unit is considered.
The simulation experiment is carried out in heating season for one week. The results show that first scene can achieve 28% energy costs reduction than original operation. Compared to the first scenario, there is 14% and 17% reduction in the scenario two and three respectively. In general, EMPC can achieve good performance in building energy management under energy-hub framework.