Multi agent based energy management control for commercial buildings

Author

Simões, M. Godoy ; Bhattarai, Saurav

Author_Institution

Colorado Sch. of Mines, Golden, CO, USA

fYear

2011

fDate

9-13 Oct. 2011

Firstpage

1

Lastpage

6

Abstract

This paper discusses the use of Multi-Agent- Systems to control various systems in a commercial building in order to achieve maximum energy efficiency while maintaining comfort for the occupants and allowing a possible interconnection with a smart-grid. An approximated optimal control is proposed in this paper, where on-line training of a Bayesian state-machine learns the system for a given utility function. Different aspects and challenges associated with the control of a building will be discussed, and a control scheme using Multi-Agent-Systems technology is proposed.

Keywords

Bayes methods; building management systems; energy conservation; energy management systems; finite state machines; multi-agent systems; optimal control; smart power grids; Bayesian state machine; approximated optimal control; building control; commercial building; maximum energy efficiency; multiagent based energy management control; on-line training; smart grid; utility function; Buildings; Humidity; Resistance heating; agents; control systems; distributed computing; energy efficiency; multi agent systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Industry Applications Society Annual Meeting (IAS), 2011 IEEE

Conference_Location

Orlando, FL

ISSN

0197-2618

Print_ISBN

978-1-4244-9498-9

Type

conf

DOI

10.1109/IAS.2011.6074360

Filename

6074360