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

浮动式海上风力发电机平准化能源成本 (LCoE) 模型的开发和数值实施，以及优化框架

• 批准号: 2515675
• 金额: --
• 依托单位: University of Strathclyde
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2515675
• 关键词: Development; numerical; implementation; Levelized; Cost

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.

如果一个漂浮的风力涡轮机是一个活的有机体呢？在严酷的近海海洋环境的达尔文压力下，以及提供清洁、安全和负担得起的能源的限制下，最优的形状会进化成什么？这是否与现在提出的配置相似？不太可能，因为这些基本上是“略微调整”的油气行业配置，是为完全不同的环境而开发的。那么，我们如何才能发现新颖的、更适合的浮动风力涡轮机，以支持平台配置，建立在油气经验的基础上，同时消除其偏见？需要一个新颖的、基本的、基于第一性原理的框架。为此，NAOME正在开发一种用于浮动海上风力涡轮机（FOWT）支撑结构的多学科设计、分析和优化框架（MDAO），称为FEDORA （ORE设备设计的基本方法）。该学生将负责定义LCoE模型，并将其数值实现到目标和/或约束函数中，并评估这些约束对优化船体配置的影响。