Occupancy-based buildings-to-grid integration framework for smart and connected communities

Bing Dong, Zhaoxuan Li, Ahmad Taha, Nikolaos Gatsis

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

Buildings-to-grid (BtG) integration simulations are becoming prevalent due to the development of smart buildings and smart grid. Buildings are the major energy consumers of the total electricity production worldwide. There is an urgent need to integrate buildings with smart grid operation to accommodate the needs of flexible load controls due to the increasing of renewable energy resources. In the imminent future, smart buildings can contribute to grid stability by changing their overall demand patterns in response to grid operations. Meanwhile, building thermal energy consumption is also maintained by building operators to satisfy occupants’ thermal comforts. However, explicit large-scale demonstrations based on a simulation platform that integrates building occupancy, building physics, and grid physics at community level have not been explored. This study develops an occupancy behavior driven BtG optimization platform that can simulate, predict and optimize indoor temperature and energy consumption of buildings, generator setpoint and deviation while maintaining acceptable grid frequency. Authors have tested the framework on two standard power networks. The results show that the integrated framework can provide potential cost savings up to 60% comparing with the decoupled operation.

Original languageEnglish (US)
Pages (from-to)123-137
Number of pages15
JournalApplied Energy
Volume219
DOIs
StatePublished - Jun 1 2018
Externally publishedYes

Keywords

  • Buildings-to-grid integration
  • Model predictive control
  • Occupancy
  • Smart grid

ASJC Scopus subject areas

  • Building and Construction
  • Energy(all)
  • Mechanical Engineering
  • Management, Monitoring, Policy and Law

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