Influence of circuit on power generation performance of wave energy power generation device using oscillating water column technology
Ru-kang Wu,
Yi Chen,
Mu-wen Xue,
Bi-jun Wu,
Meng Li,
Fu-ming Zhang and
Yun-qiu Zhang
Renewable Energy, 2023, vol. 219, issue P1
Abstract:
In order to study the influence of the load circuit on the system efficiency and power oscillation of the oscillating water column device, a unified modeling model of the oscillating water column device is built for simulation. According to the coupling relationship in various fields of the oscillating water column device, the differential equation of motion of the turbine generator set is established. The power plant components and systems are modeled by Modelica language. Based on this system, the system-level simulation is carried out and the load circuit is optimized. In addition, experimental tests of the traditional load circuit and the modified load circuit are carried out. Results indicate that the modified load circuit can increase the speed of the turbine to better follow the airflow and balance the system damping, thereby improving the system efficiency. Increasing resistance can reduce the fluctuation of output electric power. Different battery, resistance and generator parameters can cause differences in system efficiency. The research results provide a reference to improve the performance of oscillating water column device.
Keywords: Oscillating water column; Load circuit; Improve efficiency; Reduce oscillation; Unified modeling; System-level simulation (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148123013174
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:219:y:2023:i:p1:s0960148123013174
DOI: 10.1016/j.renene.2023.119402
Access Statistics for this article
Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides
More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().