Sensor network based optimal energy flow control in buildings

Shin Jae Kang, Hyunggon Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


We propose a sensor network based novel strategy for BEMS (Building Energy Management System). The strategy is to minimize the total cost of energy for a finite period by efficiently controlling energy flows with predicting and monitoring those flows based on the sensor network in buildings. The proposed strategy includes prediction, long-term scheduling, and prediction error update within a building. During the period, the process from the prediction to the update 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 the updated error by a dynamic environment is finally 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 (real-time control) scheme.

Original languageEnglish
Title of host publication2013 IEEE Global Communications Conference, GLOBECOM 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Print)9781479913534
StatePublished - 2013
Event2013 IEEE Global Communications Conference, GLOBECOM 2013 - Atlanta, GA, United States
Duration: 9 Dec 201313 Dec 2013

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference


Conference2013 IEEE Global Communications Conference, GLOBECOM 2013
Country/TerritoryUnited States
CityAtlanta, GA


  • BEMS
  • optimal energy flow
  • real-time control
  • scheduler
  • sensor network


Dive into the research topics of 'Sensor network based optimal energy flow control in buildings'. Together they form a unique fingerprint.

Cite this