• DocumentCode
    3438127
  • Title

    Energy management for buildings and microgrids

  • Author

    Stluka, Petr ; Godbole, Datta ; Samad, Tariq

  • Author_Institution
    Honeywell Prague Lab., Prague, Czech Republic
  • fYear
    2011
  • fDate
    12-15 Dec. 2011
  • Firstpage
    5150
  • Lastpage
    5157
  • Abstract
    Intelligent consumer energy management systems will become important elements at the delivery points of the smart grid inside homes, buildings, and industrial plants. The end users will be able to better monitor and manage their energy consumption, while utilities will gain more flexible mechanisms for management of peak demands that will extend beyond demand response initiatives as they are implemented today. With a broader use of distributed generation many buildings and campuses will become microgrids interconnecting multiple generation, storage, and consumption devices of one or several end users. We discuss how energy management and control for such facilities can be viewed as a large-scale optimization problem. Specific supply-side and demand-side aspects include on-site renewable generation, storage technologies, electric cars, dynamic pricing, and load management. Technical challenges related to the optimization formulation are noted - in general, mixed-integer, nonlinear, constrained optimization is needed. We also describe an implementation of optimization-based energy management solution for a hospital in the Netherlands, providing economic details and an analysis of the savings achieved.
  • Keywords
    energy consumption; integer programming; nonlinear programming; power generation economics; smart power grids; Netherlands; building; constrained optimization; consumption device; demand response initiative; demand-side aspect; distributed generation; dynamic pricing; electric car; energy consumption; generation device; hospital; intelligent consumer energy management system; large-scale optimization problem; load management; microgrid; mixed-integer optimization; nonlinear optimization; on-site renewable generation; peak demand management; savings analysis; smart grid; storage device; storage technology; supply-side aspect; Buildings; Economics; Electricity; Energy management; Forecasting; Optimization; Production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-61284-800-6
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2011.6161051
  • Filename
    6161051