Development and numerical implementation of a Levelized Cost of Energy (LCoE) model for Floating Offshore Wind Turbines, for and optimisation framewor

如果漂浮的风力涡轮机是一个活生生的有机体呢？考虑到达尔文式的严酷近海大洋压力，以及提供清洁、安全和负担得起的能源的限制，最佳形状会演变成什么？这会与现在提出的配置相似吗？不太可能，因为这些基本上是针对非常不同的环境开发的“略微适应”的O&G行业配置。那么，我们如何才能发现新颖的、更适合的浮动风力涡轮机支持平台配置，既建立在O&G经验的基础上，又消除其偏见？为此，一个多学科的浮式海上风力涡轮机(FOWT)支撑结构设计、分析和优化框架(MDAO)正在开发中，称为FEDORA(矿石设备设计的基本方法)。学生将负责定义LCOE模型，并将其数值实施到目标/S和/或约束/S函数中，并评估这些约束对优化船体结构的影响。

What if a floating wind turbine were a living organism? What optimum shape would evolve into, subject to the Darwinian pressure of harsh offshore metocean conditions, and the constraints to deliver clean, safe and affordable energy?Would this be similar to the configurations now proposed? Unlikely, since these are basically "slightly adapted" O&G industry configurations, developed for a very different context. So, how can we discover novel, more suitable floating wind turbines support platform configurations, building upon the O&G experience, but eliminating its bias? A novel, fundamental, first-principle based framework is needed.To this end, a multidisciplinary design, analysis, and optimisation framework (MDAO) for floating offshore wind turbines (FOWT) support structures is being developed @ NAOME, called FEDORA (Fundamental Approach toward the Design of ORE devices). The student will be in charge of defining an LCoE model and numerically implementing it into the objective/s and/or constraint/s functions, and to assess the impact of these constraints on the optimised hull configuration.