• 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