• DocumentCode
    104596
  • Title

    Dynamic Demand Response : A Solution for Improved Energy Efficiency for Industrial Customers

  • Author

    Mohagheghi, Salman ; Raji, Neda

  • Author_Institution
    Electr. Eng. & Comput. Sci., Colorado Sch. of Mines, Golden, CO, USA
  • Volume
    21
  • Issue
    2
  • fYear
    2015
  • fDate
    March-April 2015
  • Firstpage
    54
  • Lastpage
    62
  • Abstract
    Electric demand-side management (DSM) focuses on changing the electricity consumption patterns of end-use customers through improving energy efficiency and the optimal allocation of power. Demand response (DR) is a DSM solution that targets residential, commercial, and industrial customers, and is developed for demand reduction or demand shifting at a specific time for a specific duration. In the absence of on-site generation or the possibility of demand shifting, the consumption level needs to be lowered to comply with a DR event. Whereas the noncriticality of loads at the residential and commercial levels allows for demand reduction with relative ease, reducing the demand of industrial processes requires a more sophisticated solution. Production constraints, inventory constraints, maintenance schedules, and crew management constraints are some of the many factors that have to be taken into account before one or more processes can be temporarily shut down. Some of these constraints can be viewed along the overall performance of the system, while others need to be analyzed and evaluated in real time. In this article, a system that dynamically ranks loads and workstations of an industrial site as candidates for demand reduction is proposed. A fuzzy/expert-based system combined with an optimization module verifies whether and, if applicable, by how much the plant can participate in a utility-initiated DR event while satisfying its local operational constraints.
  • Keywords
    demand side management; expert systems; fuzzy systems; maintenance engineering; DSM; crew management constraints; demand reduction; demand shifting; dynamic demand response; electric demand-side management; electricity consumption patterns; energy efficiency; fuzzy-expert-based system; industrial customers; inventory constraints; maintenance schedules; on-site generation; optimization module; production constraints; utility-initiated DR event; Electricity supply industry; Energy consumption; Job shop scheduling; Maintenance engineering; Management; Power system management; Real-time systems; Schedules; Workstations;
  • fLanguage
    English
  • Journal_Title
    Industry Applications Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1077-2618
  • Type

    jour

  • DOI
    10.1109/MIAS.2014.2345799
  • Filename
    6994443