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A first-order energy storage requirements estimation for an Archimedes Wave Swing Park
Authors: M G de Sousa Prado; Novalio Daratha; Henk Polinder;
Abstract
This paper presents a first-order energy storage requirements estimation of an Archimedes wave swing park. In addition of being simple and easy to calculate, the approach has provided useful insight into the park behavior. The simulation of park output power indicated the presence of random smoothing effect. However, the signal smoothing was considered not enough. An estimation method based on first-order filter has been used to study the optimum size of energy storage. The method can also suggest an optimum maximum output power of a generator for a certain sea state.
Related Organizations
- Delft University of Technology Netherlands
- University of Bengkulu Indonesia
- University of Bengkulu Indonesia
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
2
Average
Average
Average