Optimized Building Controls through Integration of Building and DERs
Since the Kyoto protocol signed in December 1997, the majority of governments around the world have committed themselves to reducing the emission of the greenhouse gases. Thus, efficient use of energy and sustainability has become a key issue for the most energy policies. Sustainability and energy saving terms take place in building construction industry too since buildings are one of the most significant energy consumers. In this study, energy simulation has been conducted to explore the impact of 1) MPC of only AC; 2) MPC of AC and battery; and 3) MPC of AC, battery and PV. Proper use of model predictive control (MPC) of AC, battery and PV, can not only reduce the energy cost in DOE office buildings, but also shave demand charge effectively. Studies on this topic have been mostly conducted for office buildings, but were limited for large and small DOE office buildings. This paper presents a study of how to develop an integrated control and optimization framework for reducing energy consumption and cost within the context of smart building and distributed energy resources using DOE reference buildings in ASHRAE seven climate zone. The DOE office buildings energy saving were measured with MPC of AC; MPC of AC and battery; MPC of AC, battery and PV; three different measurement method. The average energy saving of seven-climate zone with different measurement method were different. Simulation results show that MPCs can significantly reduce the building energy and demand charge peak, which is beneficial for utility bill and power plant. Maximum reduction happens in when using MPC of AC, battery and PV system, average reduction is around 22.86% of medium office, and 28.26% of large office.