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Zong,Y.,Böning,G. M., Santos,R. M., You, S.,Hu, J. and Han,X. (2016) Challenges of Implementing Economic Model Predictive Control Strategy for Buildings Interacting with Smart Energy Systems. Applied Thermal Engineering.

has been cited by the following article:

• TITLE: Economic Model Predictive Control for Hot Water Based Heating Systems in Smart Buildings

  AUTHORS: M. A. Ahmed Awadelrahman, Yi Zong, Hongwei Li, Carsten Agert

  KEYWORDS: Building Energy Management System, Demand Response, Economic Model Predictive Control, Heat Pumps, Smart Buildings, Thermal Energy Storage

  JOURNAL NAME: Energy and Power Engineering, Vol.9 No.4B, April 6, 2017

  ABSTRACT: This paper presents a study to optimize the heating energy costs in a residential building with varying electricity price signals based on an Economic Model Predictive Controller (EMPC). The investigated heating system consists of an air source heat pump (ASHP) incorporated with a hot water tank as active Thermal Energy Storage (TES), where two optimization problems are integrated together to optimize both the ASHP electricity consumption and the building heating consumption utilizing a heat dynamic model of the building. The results show that the proposed EMPC can save the energy cost by load shifting compared with some reference cases.