DocumentCode
604599
Title
Intelligent energy management in smart and sustainable buildings with multi-agent control system
Author
Smitha, S.D. ; Chacko, Fossy Mary
Author_Institution
Dept. of Electr. & Electron., Saintgits Coll. of Eng., Kottayam, India
fYear
2013
fDate
22-23 March 2013
Firstpage
190
Lastpage
195
Abstract
Modern power systems, these days, is facing increased challenges such as increased energy demand, environment concerns etc., which cannot be met by the utility alone. Microgrid can meet these challenges to some extend, which uses renewable energy sources which are eco-friendly to reduce the environmental concerns. Smart and energy-efficient buildings, which is a recent trend in building industry minimizes energy consumption. The Energy Management System (EMS) in a commercial building aims to improve environment within the building to ensure customers´ comfort. The control system design for such a building is to minimise the power consumption without compromising the customer´s comfort. For the same, a multiagent control system is designed for energy and comfort management in the smart building. The energy management system, its control and the simulation results are presented in this paper.
Keywords
building management systems; control engineering computing; control system synthesis; distributed power generation; energy conservation; energy management systems; multi-agent systems; power consumption; renewable energy sources; EMS; building industry; comfort management; commercial building; control system design; customer comfort; ecofriendly; energy consumption; energy demand; energy management system; energy-efficient buildings; environment concerns; environmental concerns; intelligent energy management; microgrid; multiagent control system; power consumption; power systems; renewable energy sources; smart buildings; sustainable buildings; Buildings; Control systems; Energy consumption; Energy management; Lighting; Microgrids; Optimization; Energy-efficient building; Genetic Algorithm (GA); distributed energy resources; energy management system; microgrid; multi-agent control system;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), 2013 International Multi-Conference on
Conference_Location
Kottayam
Print_ISBN
978-1-4673-5089-1
Type
conf
DOI
10.1109/iMac4s.2013.6526406
Filename
6526406
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