ABSTRACT

Most creatures are highly adapted to the environment for survival through the evolutionary process and developing useful biological features for design inspirations could improve the performance of Wave Energy Converters (WECs), such as the TALOS WEC. A method of obtaining biological inspiration to conceive novel design is provided in this paper. The current situation of wave energy utilization is described and a number of problems in the research and development of WECs are introduced. The structure, motion and other characteristics of TALOS WEC are analyzed. Finally, the method is validated with TALOS WEC followed by discussion and conclusions.

INTRODUCTION

More than 70% of the area on the earth's surface is oceans, which embrace abundant renewable energy resources. However, how to effectively utilize and extract the rich ocean energy has been a concern of researchers in various countries (Melikoglu, 2018). Ocean energy can be captured in many different ways, such as wave energy, tidal range energy, temperature difference energy and ocean current energy. Among ocean energy capture methods, wave energy has a longer duration, more energy and a wider distribution. Therefore, its huge application potential has yet to be mined (Jin and Greaves 2021), with the vast resources to be explored. Based on Mørk, Barstow, Kabuth and Pontes (2010), the global wave energy can reach 32000TW/yr.

In order to effectively extract wave energy for electricity generation, wave energy conversion devices have been and are emerging in various concepts. For example, China, the United Kingdom, the United States, Australia, Japan and Norway and other countries have developed a variety of wave energy conversion devices (Zhang, Aggidis, 2018). Many devices can convert wave energy into electrical energy, but the progress in the commercialization is very slow (Lopez, Andreu and Salvador, 2013), mainly due to the difficulties in extracting wave energy efficiently, and the rate of performance and cost of WECs cannot meet the user requirements (Zhang, Zhao, Sun and Li, 2021).

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