不規則波におけるPA-WEC の発電量を最大化するための制御力推定におけるAI 予測の可能性に関する基礎的研究
Abstract
Marine renewable energy is expected to replace fossil fuels as an energy source. Wave energy is one of these marine renewable energy sources. A floating point-absorber wave energy converter (PA-WEC) is a wave energy generation system that is expected to be utilized because of its low mechanical loss and lack of wave directionality. Many studies have been conducted to maximize the power generation of PA-WECs, and theoretical solutions have been presented for the maximum expected value of power generation and its control in regular waves and known irregular waves. However, the components of the incoming irregular waves are not known when the system is actually installed on the ocean. Therefore, in this study, a basic investigation of the possibility of applying AI to predict and determine the control power to maximize the power generation of PAWEC is conducted. In this investigation, we have narrowed down the focus to the possibility of estimating the optimal control power from time to time, and investigated and discussed the effective combination of training data sets based on theoretical situations in known waves.