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16454 Domestic energy efficiency improving algorithms
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Molderink, A. and Bakker, V. and Bosman, M.G.C. and Hurink, J.L. and Smit, G.J.M. (2009) Domestic energy efficiency improving algorithms. (Invited) In: Proceedings of the 2009 ProRISC Workshop, 26-27 November 2009, Veldhoven, Netherlands. pp. 229-236. Technology Foundation STW. ISBN 978-90-73461-62-8

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Abstract

Due to increasing energy prices and the greenhouse effect more efficient electricity production is desirable, referably
based on renewable sources. In the last years, a lot of technologies have been developed to improve the efficiency of the electricity usage and supply. Next to large scale technologies such as windturbine parks, a lot of 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 methodologies optimizing the combination of techniques raise the potential of the individual techniques.
A lot of research in done in this area. This paper outlines
a number of papers and deducts the general idea. Next, 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 a field test verifying that methodology is promising.

Item Type:Conference or Workshop Paper (Full Paper, Invited/Keynote Talk)
Research Group:EWI-CAES: Computer Architecture for Embedded Systems, EWI-DMMP: Discrete Mathematics and Mathematical Programming
Research Program:CTIT-WiSe: Wireless and Sensor Systems
Research Project:DCHP: Domestic Combined Heat and Power
ID Code:16454
Status:Published
Deposited On:12 April 2010
Refereed:Yes
International:No
More Information:statisticsmetis

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