Numerical Forecasting Experiment of the Wave Energy Resource in the China Sea

Joint Authors

Li, Chongyin
Zheng, Chong Wei
Chen, Xuan
Pan, Jing

Source

Advances in Meteorology

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-08-15

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Physics

Abstract EN

The short-term forecasting of wave energy is important to provide guidance for the electric power operation and power transmission system and to enhance the efficiency of energy capture and conversion.

This study produced a numerical forecasting experiment of the China Sea wave energy using WAVEWATCH-III (WW3, the latest version 4.18) wave model driven by T213 (WW3-T213) and T639 (WW3-T639) wind data separately.

Then the WW3-T213 and WW3-T639 were verified and compared to build a short-term wave energy forecasting structure suited for the China Sea.

Considering the value of wave power density (WPD), “wave energy rose,” daily and weekly total storage and effective storage of wave energy, this study also designed a series of short-term wave energy forecasting productions.

Results show that both the WW3-T213 and WW3-T639 exhibit a good skill on the numerical forecasting of the China Sea WPD, while the result of WW3-T639 is much better.

Judging from WPD and daily and weekly total storage and effective storage of wave energy, great wave energy caused by cold airs was found.

As there are relatively frequent cold airs in winter, early spring, and later autumn in the China Sea and the surrounding waters, abundant wave energy ensues.

American Psychological Association (APA)

Zheng, Chong Wei& Li, Chongyin& Chen, Xuan& Pan, Jing. 2016. Numerical Forecasting Experiment of the Wave Energy Resource in the China Sea. Advances in Meteorology،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1095558

Modern Language Association (MLA)

Zheng, Chong Wei…[et al.]. Numerical Forecasting Experiment of the Wave Energy Resource in the China Sea. Advances in Meteorology No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1095558

American Medical Association (AMA)

Zheng, Chong Wei& Li, Chongyin& Chen, Xuan& Pan, Jing. Numerical Forecasting Experiment of the Wave Energy Resource in the China Sea. Advances in Meteorology. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1095558

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1095558