Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/104254
Title: Preemptive demand response management for buildings
Authors: Sivaneasan, B.
Kumar, K. Nandha
Tan, K. T.
So, P. L.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electric power
Issue Date: 2014
Source: Sivaneasan, B., Kumar, K. N., Tan, K. T., & So, P. L. (2014). Preemptive demand response management for buildings. IEEE transactions on sustainable energy, in press.
Series/Report no.: IEEE transactions on sustainable energy
Abstract: A building energy management system (BEMS), which forms an integral part of a smart grid, enables building operators to monitor, manage, and control the energy utilized in their buildings, thus reducing the demand and consumption of energy. Building operators are responsible for the day-to-day maintenance and operation of their buildings’ heating, cooling, mechanical, and electrical systems. This paper proposes an intelligent preemptive demand response management (DRM) using the BEMS to ensure contracted capacity or demand limit (CC/DL) is not exceeded and at the same time reduce energy consumption in buildings. In this paper, dynamic electric vehicle (EV) charge scheduling, speed control of air conditioning (AC) system’s variable speed drive (VSD), and priority-based load shedding are considered in the DRM program. The performance of the proposed DRM program to keep the building power demand within the CC/DL and reduce the energy consumption is tested and analyzed using the BEMS.
URI: https://hdl.handle.net/10356/104254
http://hdl.handle.net/10220/25189
ISSN: 1949-3029
DOI: 10.1109/TSTE.2014.2375895
Rights: © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/TSTE.2014.2375895].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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