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
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;
Conference_Titel :
INFOCOM Workshops 2009, IEEE
Conference_Location :
Rio de Janeiro
Print_ISBN :
978-1-4244-3968-3
DOI :
10.1109/INFCOMW.2009.5072184