• DocumentCode
    2024051
  • Title

    Saving Energy for (and from) a Sunny Day: Lowering Peak Demands with Batteries

  • Author

    Johnson, Matthew P. ; Bar-Noy, Amotz ; Feng, Yi ; Liu, Ou

  • Author_Institution
    Dept. of Comput. Sci., City Univ. of New York, New York, NY
  • fYear
    2009
  • fDate
    19-25 April 2009
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    The authors discuss a recently introduced scheduling problem and solve several versions optimally with efficient combinatorial algorithms. The authors solve the offline problem for two kinds of batteries: unbounded battery in O(n) time and bounded in O(n2). Separately, the authors show how to find the optimal offline battery size, for the setting in which the final battery level must equal the initial battery level. This is the smallest battery size that achieves the optimal peak. The online problem we study is very strict. A meta-strategy in many online problems is to balance expensive periods with cheap ones, so that the overall cost stays low.
  • Keywords
    energy conservation; scheduling; secondary cells; combinatorial algorithms; lowering peak demands; optimal offline battery size; saving energy; scheduling problem; sunny day; unbounded battery; Batteries; Computer science; Costs; Fuels; Investments; Power generation economics; Production; Renewable energy resources; Warehousing; Wind;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM Workshops 2009, IEEE
  • Conference_Location
    Rio de Janeiro
  • Print_ISBN
    978-1-4244-3968-3
  • Type

    conf

  • DOI
    10.1109/INFCOMW.2009.5072184
  • Filename
    5072184