A real-time agent based optimization and control approach for residential building heating ventilation and air conditioning systems

J. Hall, M. Starke, J. Munk, H. Zandi, S. Chinthavali, V. Tansakul, T. Kuruganti, H. Buckberry

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The prevalence of the loT (Internet of Things) is fostering the development of new control options and decision making that was not previously available. This is creating a wealth of opportunities for real-time control approaches and systems that can optimize for a common goal. This paper presents a smart residential neighborhood with optimization at the residential level utilizing a system of agents. The optimization utilizes information and modeling to optimize variable speed HVAC real-time operation in actual residential buildings. Data is presented showing the performance of the optimization and conclusions are drawn on next steps for development.

Original languageEnglish
Title of host publication2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728188973
DOIs
StatePublished - Feb 16 2021
Event2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021 - Washington, United States
Duration: Feb 16 2021Feb 18 2021

Publication series

Name2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021

Conference

Conference2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021
Country/TerritoryUnited States
CityWashington
Period02/16/2102/18/21

Keywords

  • Control
  • HVAC
  • Modeling
  • Optimization
  • Real-time

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