Structural Performance Analysis of a Floating Green Energy Storage Subjected to Non-Linear Loads

海运系统被认为是温室气体排放的最大贡献者之一。英国作为“零排放航运使命”的核心成员，正在与所有海事部门合作，创建“绿色航运走廊”。因此，人们越来越关注被称为“绿色燃料”的替代海洋燃料，因为这些燃料是利用海上可再生能源产生的电力生产的。像其他燃料一样，这些绿色燃料的大规模生产需要高度可靠、易于获取和负担得起的存储系统。大规模生产绿色燃料面临诸多技术经济挑战，提出了许多亟待关注的研究问题。因此，博士项目将涉及浮动绿色能源存储的比例模型的实验和数值模拟。所有的测试都将在普利茅斯大学的校园内进行，使用世界一流的实验室和设备，例如COAST Ocean Basin。还需要使用有限元分析软件包Ansys进行数值分析，以估计由内部和外部载荷引起的结构损伤，从而预测浮动绿色储能的寿命。如有必要，将需要应用Matlab编程和其他软件包进行实验数据处理和数值优化。

Maritime transport systems are considered as one of the highest contributors for greenhouse gas emissions. The UK, as a core member of the Zero-Emission Shipping Mission, is working across all maritime sectors to create 'green shipping corridors'. As a result, much attentions are being paid towards alternative marine fuels known as "green fuels" because these fuels are produced using electricity from offshore renewables. Like other fuels, mass production of these green fuels would require storage systems that are highly reliable, easily accessible and affordable. Numerous techno-economic challenges for producing green fuels in large scale throw a number of research questions that require urgent attentions. Hence, the PhD project will involve experiments and numerical simulations for a scaled model of a floating green energy storage. All the tests will be carried out on-campus using the University of Plymouth's world class laboratories and equipment, COAST Ocean Basin, for example. Finite Element Analysis software package, Ansys, will also need to be used for numerical analysis to estimate the structural damage caused by the internal and the external loads for predicting the lifetime of the floating green energy storage. Matlab programming and other software packages, as necessary, will need to be applied for experimental data processing and numerical optimisation.