| Deep sea cage culture is an important trend of the future development of fishery culture.It is of great significance to improve the utilization of my country’s marine resources and increase the growth of marine economy by using the cage culture support platform to carry marine instruments and equipment to realize the functions of marine observation,monitoring and communication.Since deep sea cage culture is far from inland,energy supply is the bottleneck problem that restricts the development of deep sea cage culture industry,and exploring new power supply methods has become a key measure to solve the dilemma of offshore power supply.Abundant wave energy resources,which provides a new idea for solving the offshore electricity consumption problem of the deep sea cage culture.The wave power generation device is integrated with the cage aquaculture support platform,and the destructive power of ocean waves on the cage aquaculture support platform is converted into the electricity that is urgently needed for the production of deep-sea cage aquaculture,which can effectively speed up the development of new marine energy and ensure deep sea cage culture.In this thesis,referring to the point absorption WEC,a WEC integrated in the cage aquaculture support platform is designed.The influence of the device platform and various design parameters on the energy capture power of the float is studied.Combined with the sea conditions in the defense area,established a prediction model of the energy capture power of the float,and carried out multi-objective optimization of the float.Considering the wave incident angle and the array of the device,the device is hydrodynamically optimized.Firstly,the thesis explains the background and significance of the subject research,introduces the types of WEC,summarizes the ways of improving the energy capture power of WEC at home and abroad,analyzes the research progress and existing technical problems,and proposes the research of the thesis content.After that,according to the structure of the cage culture support platform,this thesis designs the structure of the wave energy converter,and conducts the finite element analysis of the designed device.Establishing an analytical model of multi-floating system based on the theory of potential flow and gettingthe hydrodynamic coefficient solution results.In this way,we established the float heave frequency domain motion model and obtained the float frequency domain energy capture power model.Based on P-M spectrum,the model of distribution area is established.Secondly,the article not only introduces the AQWA software based on the boundary element method,and verifies its effectiveness,but also studies the influence of different shapes of floats on the frequency domain energy capture power under the influence of the support platform.And introducing the principle of computational fluid dynamics software STARCCM+and studying the influence of supporting platform on the flow field of float with different shape in time domain.Thirdly,the experiment design is carried out by using the optimal Latin hypercube sampling method.Useing AQWA software is used to establish the sample library.And introducing the working principle of artificial neural network.A neural network based on Bayesian regularization algorithm is used to establish a float energy capture power prediction model with device design parameters as input.And a power prediction model in the deployment sea area is obtained,and the accuracy of the model is verified.The NSGA-II algorithm is introduced.Taking the maximum energy-capturing power of the float and the minimum cost as the objective functions,the optimization results of the sea conditions in the deployment area are obtained,and the design schemes of the float under the sea conditions in the deployment area are given.Finally,considering the influence of the cage culture support platform on the wave incident angles,calculation of the energy capture power of the design schemes in the frequency domain and time domain under different incident wave incident angles,and determine the Optimal deployment angle in the deployment area.Considering the cost-effectiveness of electricity and the stability of collecting wave energy,the array of wave energy converters is optimized,and the optimization results are compared with a single float to determine the impact of the platform on the float array. |