Global oceanic wave energy resource dataset—with the Maritime Silk Road as a case study

• Published in: Renewable energy 2021-05, Vol.169, p.843-854
• Main Author: Zheng, Chong-wei
• Format: Article
• Language: English
• Subjects: Climatic feature; Long-term projection; Short-term forecast; Swell propagation; Wave energy classification; Wave energy resource dataset
• ISSN: 0960-1481; 1879-0682
• DOI: 10.1016/j.renene.2021.01.058

Construction of wave energy resource dataset (WERD) is the key base for achieving rational and efficient utilization of wave energy, which is beneficial for easing the energy crisis and protecting the fragile marine ecological environment. However, the research on the WERD construction is scarce. Even more, the existing WERD mainly contains the traditional focus of wave energy (climatic feature). This study proposed to create a global oceanic WERD, with the Maritime Silk Road as a case study, which comprehensively includes not only the traditional focus of wave energy, but also adds seven new modules: short-term forecast, climatic variation of wave energy, long-term projection of wave energy, wave energy classification, characteristics of swell energy, wave climate characteristics, as well as detailed study of wave energy of key nodes, in hope of providing scientific reference, data service and decision support for the site selection, daily operation and long term plan of wave energy development. •This study proposed to create a wave energy resource dataset (WERD).•The WERD includes the traditional wave energy focus, as well as seven new modules.•Wave energy classification and swell propagation were added to the WERD.•The long-term projection and short-term forecast of wave energy were added to WERD.•The climatic trend of wave energy was revealed and added to the WERD.