Challenges of implementing economic model predictive control strategy for buildings interacting with smart energy systems

Yi Zong, Georg Martin Böning, Rui Mirra Santos, Shi You, Junjie Hu, Xue Han

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Abstract

When there is a high penetration of renewables in the energy system, it requires proactive control of large numbers of distributed demand response resources to maintain the system’s reliability and improve its operational economics. This paper presents the Economic Model Predictive Control (EMPC) strategy for energy management in smart buildings, which can act as active users interacting with smart energy systems. The challenges encountered during the implementation of EMPC for active demand side management are investigated in detail in this paper. A pilot testing study shows energy savings and load shifting can be achieved by applying EMPC with weather forecast and dynamic power price signals
Original languageEnglish
JournalApplied Thermal Engineering
Volume114
Pages (from-to)1476–1486
ISSN1359-4311
DOIs
Publication statusPublished - 2016

Keywords

  • Active smart building
  • Data availability
  • Economic model predictive control
  • Modelling
  • Optimization
  • State estimation

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