Abstract
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 language | English |
|---|---|
| Pages (from-to) | 239-248 |
| Number of pages | 10 |
| Journal | Energy and Buildings |
| Volume | 75 |
| DOIs | |
| State | Published - 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.
Keywords
- BEMS
- DR
- Optimal energy flow
- Real-time control
- Scheduler