DocumentCode
1896473
Title
A three-step methodology to improve domestic energy efficiency
Author
Molderink, Albert ; Bakker, Vincent ; Bosman, Maurice G C ; Hurink, Johann L. ; Smit, Gerard J M
Author_Institution
Dept. of Comput. Sci., Math. & Electr. Eng., Univ. of Twente, Enschede, Netherlands
fYear
2010
fDate
19-21 Jan. 2010
Firstpage
1
Lastpage
8
Abstract
Increasing energy prices and the greenhouse effect lead to more awareness of energy efficiency of electricity supply. During the last years, a lot of technologies have been developed to improve this efficiency. Next to large scale technologies such as wind turbine parks, domestic technologies are developed. These domestic technologies can be divided in (1) Distributed Generation (DG), (2) Energy Storage and (3) Demand Side Load Management. Control algorithms optimizing a combination of these techniques can raise the energy reduction potential of the individual techniques. In this paper an overview of current research is given and a general concept is deducted. Based on this concept, a three-step optimization methodology is proposed using (1) offline local prediction, (2) offline global planning and (3) online local scheduling. The paper ends with results of simulations and field tests showing that the methodology is promising.
Keywords
air pollution; building management systems; demand side management; distributed power generation; energy conservation; power generation planning; power generation scheduling; control algorithms; demand side load management; distributed generation; domestic energy efficiency; energy prices; energy reduction potential; energy storage; greenhouse effect; offline global planning; offline local prediction; online local scheduling; three-step methodology; three-step optimization methodology; wind turbine parks; Distributed control; Distributed power generation; Energy efficiency; Home appliances; Large-scale systems; Load management; Optimization methods; Power generation; Temperature control; Testing; Energy efficiency; Micro-generation; Microgrid; Smart grid; Virtual Power Plant;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Smart Grid Technologies (ISGT), 2010
Conference_Location
Gaithersburg, MD
Print_ISBN
978-1-4244-6264-3
Electronic_ISBN
978-1-4244-6333-6
Type
conf
DOI
10.1109/ISGT.2010.5434731
Filename
5434731
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