Model predictive control based on thermal dynamic building model in the demand-side management

Weijie Mai, C. Y. Chung

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

9 Citations (Scopus)

Abstract

Flexible load response allows to manage local power consumption in response to supply conditions, such as high market price, peak demand or regulation signal, thus, lower grid operating costs, increased system reliability and improved energy efficiency can be achieved. Besides, demand response becomes large contributor to overall building expense reduction, especially in large grid-congested cities. HVAC system in commercial building accounts for a huge amount of power consumption and greatly contributes to the peak load. In this work, we propose an economic model predictive controller based on a thermal dynamic building model that discussed in our previous work. Simulation results show that the proposed controller can effectively and optimally control the HVAC system to utilize the time-varying electricity prices and the future disturbances to minimize the electricity costs, significantly reduce the peak demand and increase energy saving and efficiency, while respecting the comfort level.

Original languageEnglish
Title of host publication2016 IEEE Power and Energy Society General Meeting, PESGM 2016
PublisherIEEE Computer Society
ISBN (Electronic)9781509041688
DOIs
Publication statusPublished - 10 Nov 2016
Event2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, United States
Duration: 17 Jul 201621 Jul 2016

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2016-November
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Country/TerritoryUnited States
CityBoston
Period17/07/1621/07/16

Keywords

  • Demand side management
  • Model predictive control
  • Physics-based load modeling

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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