Scheduling-based real time energy flow control strategy for building energy management system

Shin Jae Kang, Jungsung Park, Ki Yong Oh, Jae Gu Noh, Hyunggon Park

Research output: Contribution to journalArticlepeer-review

39 Scopus citations


We propose a novel strategy for BEMS (Building Energy Management System), which efficiently controls energy flows in a building so as to minimize the total cost of energy for a finite period. We also consider Demand Response (DR) events during the period. The proposed strategy includes prediction, long-term scheduling, and real-time control (RTC) of components within a building. During the period, the process from prediction to RTC is iterated in every time unit when the system status is changed by a dynamic environment. The scheduler determines the optimal energy flows based on the prediction, and RTC utilizes the scheduling result so that the energy flow can be adaptively controlled in a dynamic environment. Finally, the system status change information is fed back for the next iteration. Simulation results indicate potential cost savings that are approximately 10-20% compared to a typical BEMS with a conventional RTC scheme.

Original languageEnglish
Pages (from-to)239-248
Number of pages10
JournalEnergy and Buildings
StatePublished - Jun 2014

Bibliographical note

Funding Information:
This research was supported in part by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. NRF-2010-0009717) and in part by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (NIPA-2013-H0301-13-1002) supervised by the NIPA (National IT Industry Promotion Agency). The material in this paper was presented in part at the Global Communications Conference (Globecom 2013) Atlanta, GA, USA 2013.


  • BEMS
  • DR
  • Optimal energy flow
  • Real-time control
  • Scheduler


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