Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/17807
Title: An interactive building power demand management strategy for facilitating smart grid optimization
Authors: Xue, X
Wang, S 
Sun, Y
Xiao, F 
Keywords: Building demand management
Building thermal storage model
Dynamic pricing
Interactive strategy
Smart grid
Issue Date: 2014
Publisher: Pergamon Press
Source: Applied energy, 2014, v. 116, p. 297-310 How to cite?
Journal: Applied energy 
Abstract: With increasing use and integration of renewable energies, power imbalance between supply and demand sides has become one of the most critical issues in developing smart grid. As the major power consumers at demand side, buildings can actually perform as distributed thermal storages to help relieving power imbalance of a grid. However, power demand alteration potentials of buildings and energy information of grids might not be effectively predicted and communicated for interaction and optimization. This paper presents an interactive building power demand management strategy for the interaction of commercial buildings with a smart grid and facilitating the grid optimization. A simplified building thermal storage model is developed for predicting and characterizing power demand alteration potentials of individual buildings together with a model for predicting the normal power demand profiles of buildings. The simulation test results show that commercial buildings can contribute significantly and effectively in power demand management or alterations with building power demand characteristics identified properly.
URI: http://hdl.handle.net/10397/17807
ISSN: 0306-2619
EISSN: 1872-9118
DOI: 10.1016/j.apenergy.2013.11.064
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