Combining methodologies on the impact of inter and intra-annual variation of wave energy on selection of suitable location and technology. (July 2021)

• Record Type: Journal Article
• Authors: Kamranzad, Bahareh; Lin, Pengzhi; Iglesias, Gregorio
• Is Part Of: Renewable energy. Volume 172(2021)
• Page Start: 697
• Page End: 713
• Publication Date: 2021-07
• Subjects: Wave energy -- Southern China -- Sustainability index -- WEI -- MCA factor; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2021.03.062
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: In this study, based on 55 years' worth of high-resolution simulated wave data using numerical modeling off the southern coasts of China, intra-annual and decadal variations of the wave climate and wave energy were evaluated. The results show that it is important to consider a sufficiently long time period for wave energy assessment to take into account the changing climate. The high-resolution wave dataset enabled the quantitative analysis in both nearshore and offshore, and the quantitative analysis was performed in two phases: First, using two different approaches. i.e., "Climate-dependent Sustainability Index" and "Wave Exploitability Index", the wave power and its short and long-term changes were considered to prioritize the candidate stations for further assessment. Then, a modified "Multi-Criteria Approach" consisting of both sea state and Wave Energy Converters (WECs) was applied to determine the most suitable combination of WEC and location in the domain, which is Wave Dragon in the eastern parts of the domain with the energy production of around 92, 000 MWh for a single device. The results provide the quantitative analysis for different scenarios of development plans in the study area on the selection of appropriate location and technology. Graphical abstract: Image 1 Highlights: Long-term high-resolution simulated wave climate was used in Southern China. Inter and intra-annual variation of wave resources was investigated. Climate-dependent Sustainability Index and Wave Exploitability Index were utilized. Multi-criteria approach was applied in candidate stations. The suitable location and WEC were determined for different development scenarios.