Smart Building Energy Management using Nonlinear Economic Model Predictive Control | IEEE Conference Publication | IEEE Xplore

Smart Building Energy Management using Nonlinear Economic Model Predictive Control


Abstract:

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 recentl...Show More

Abstract:

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.
Date of Conference: 04-08 August 2019
Date Added to IEEE Xplore: 30 January 2020
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Conference Location: Atlanta, GA, USA

References

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