Numerical Simulation And Analysis Of Wave Energy Rrsource At Nearshore Area Of Zhejiang Province

Currently, studies about wave energy mainly focused on the power generation device, and the analytical research of wave energy resource are urgently needed with the constantly developmental and commercial wave energy. The wave field of nearshore area of Zhejiang province was simulated by numerical model and the wave energy was analyzed. First, the calculation accuracy about nearshore area of Zhejiang province was increased with the improvement of SWAN model, and then the influences of wave in finite depth on calculations of wave power density was studied, in addition, refined analysis about wave energy of nearshore area of Zhejiang province was carried out. Finally, wave energy resource distribution of nearshore area of Zhejiang province based on oscillating water column wave energy devices was researched. The main work and results are as follows:(1) In order to test the accuracy of QSCAT/NCEP wind field, QSCAT/NCEP wind field and ECMWF vector wind data was compared. Results showed that the standard error of two types of data was less than1.35m/s and correlation coefficient was above0.85. QSCAT/NCEP wind field can be used as a driving wind of SWAN model for the error was within reasonable limit.(2) The significant wave height calculated by SWAN model in the Southern Yellow Sea was verified with observational data of JASON-1satellite. We found that the maximum standard error between calculation results of mode and satellite data was0.31m and the lowest correlation coefficient was only0.69. In order to correct the whitecapping dissipation parameters of SWAN model, numerical experiments was carried out. Results indicated that the standard error between significant wave heights calculated by SWAN model and satellite data decreased over half and correlation coefficient increased more than0.85. (3) The JASON-1satellite data and measured data by Shengshan ocean station were used to verify the calculation accuracy of improved whitecapping dissipation term and bottom friction term of SWAN model. It showed that the standard error between significant wave height calculated by improved SWAN model and JASON-1data decreased more than57.5%and the correlation coefficient increased more than22.2%.The comparison with the data of Shengshan ocean station showed that the standard deviation decreased62.5%and the correlation coefficient increased15.3%. The standard error between average period calculated by improved SWAN model and data of Shengshan station decreased53.3%and the correlation coefficient increased24.5%.(4) The influence of finite depth wave to calculation of wave power density was investigated. The result showed that finite depth wave only had an influence on the calculation of wave power density that near the coastline and the bay of Hangzhou. The average of wave power density at nearshore area of Zhejiang province was calculated, and the monthly variation characteristics, frequency of energy scale and stability of wave energy were analyzed. The analysis indicated that the area near Zhoushan Archipelagoes and the southwest offshore had higher wave energy reserves and good energy stability. They are the most appropriate places to develop the wave energy.(5) The research on wave energy resource distribution of coast sea area of Zhejiang, which based on oscillating water column wave energy device, showed that there were some differences between distribution feature based on device output power and wave power density. Analysis of wave energy resources was guiding significance for the development of wave energy, but the wave energy should be further analyzed on base of the device characteristics for the purpose of finding the most appropriate construction location of wave energy after the wave energy device is defined.