An interactive building power demand management strategy for facilitating smart grid optimization

Xue Xue, Shengwei Wang, Yongjun Sun, Fu Xiao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

114 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)297-310
Number of pages14
JournalApplied Energy
Volume116
DOIs
Publication statusPublished - 1 Mar 2014

Keywords

  • Building demand management
  • Building thermal storage model
  • Dynamic pricing
  • Interactive strategy
  • Smart grid

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Energy(all)

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