Smart Building Energy Management using Nonlinear Economic Model Predictive Control

Owing to the call for energy efficiency, the need to optimize the energy consumption of commercial buildings–responsible for over 40% of US energy consumption–has recently gained significant attention. Moreover, the ability to participate in the retail electricity markets through proactive demand-side participation has recently led to development of economic model predictive control (EMPC) for building's Heating, Ventilation, and Air Conditioning (HVAC) system. The objective of this paper is to develop a price-sensitive operational model for building's HVAC systems while considering inflexible loads and other distributed energy resources (DERs) such as photovoltaic (PV) generation and battery storage for the buildings. A Nonlinear Economic Model Predictive Controller (NL-EMPC) is presented to minimize the net cost of energy usage by building's HVAC system while satisfying the comfort-level of building's occupants. The efficiency of the proposed NL-EMPC controller is evaluated using several simulation case studies.

[1]  Jiří Cigler,et al.  Model Predictive Control for Buildings , 2013 .

[2]  Karl Henrik Johansson,et al.  A hierarchical distributed MPC for HVAC systems , 2016, 2016 American Control Conference (ACC).

[3]  Prahlad Patel,et al.  Modeling and optimal control algorithm design for HVAC systems in energy efficient buildings , 2013 .

[4]  Peng Xu,et al.  Demand reduction in building energy systems based on economic model predictive control , 2012 .

[5]  Luca Ferrarini,et al.  Temperature Control of a Commercial Building With Model Predictive Control Techniques , 2015, IEEE Transactions on Industrial Electronics.

[6]  Tianyou Chai,et al.  Multivariable Disturbance Observer Based Advanced Feedback Control Design and Its Application to a Grinding Circuit , 2014, IEEE Transactions on Control Systems Technology.

[7]  Daniel E. Fisher,et al.  EnergyPlus: creating a new-generation building energy simulation program , 2001 .

[8]  Martin Horn,et al.  Temperature control for HVAC systems based on exact linearization and model predictive control , 2011, 2011 IEEE International Conference on Control Applications (CCA).

[9]  Hussain Shareef,et al.  Review on Home Energy Management System Considering Demand Responses, Smart Technologies, and Intelligent Controllers , 2018, IEEE Access.

[10]  Philip Haves,et al.  Model predictive control for the operation of building cooling systems , 2010, Proceedings of the 2010 American Control Conference.

[11]  Alberto L. Sangiovanni-Vincentelli,et al.  Total and Peak Energy Consumption Minimization of Building HVAC Systems Using Model Predictive Control , 2012, IEEE Design & Test of Computers.

[12]  Alberto Sangiovanni-Vincentelli.  Modeling and Optimal Control Algorithm Design for HVAC Systems in Energy Efficient Buildings , 2011 .

[13]  Yang Liu,et al.  Coordinating the operations of smart buildings in smart grids , 2018 .

[14]  Mehdi Maasoumy.  Modeling and Optimal Control Algorithm Design for HVAC Systems in Energy Efficient Buildings , 2014 .

[15]  Hao Zhang,et al.  Economic Model-Based Control of Sustainable Buildings with Photovoltaic (PV) and Battery Systems Considering Battery Degradation Costs , 2018, 2018 Annual American Control Conference (ACC).

[16]  Tianshu Wei,et al.  Proactive Demand Participation of Smart Buildings in Smart Grid , 2016, IEEE Transactions on Computers.

[17]  Karl Henrik Johansson,et al.  A scenario-based predictive control approach to building HVAC management systems , 2013, 2013 IEEE International Conference on Automation Science and Engineering (CASE).