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
Link To Document