Hydrodynamics-informed multi-objective control optimisation for tidal power plant systems integration

该研究项目将集中于可预测能源输出的最大化，工业和学术模型的交叉验证，以及消除不确定性和提高拟议方案的可行性，同时吸引潜在投资者。这项研究的长期范围是建立一个连贯的方法，以及一个多目标优化框架，通过考虑潮差方案的液压元件的操作时间表的灵活性，同时最大限度地降低成本，量化潮差对英国能源部门的贡献。主要目标分为：1)广泛评估和报告迄今为止潮差涡轮机性能的技术进步；2)利用行业提供的技术经济规范，特别是来自Tidetec的技术经济规范，这些规范将用于评估和改进通常基于有限技术特定信息的学术发现。本研究的主要目的总结如下：1。评估普遍用作工业标准的潮差电厂的现有简单操作模型，并对更详细的模型进行广泛审查。2。开发潮汐发电厂运行和维护的经济潜力模型，并与广泛使用的简化规格进行比较，改进涡轮机参数化。3。通过对相应方法进行一系列灵敏度测试，对优化方法进行评价，提高计算效率。iv.使用粗糙的水动力模型进行水动力约束优化，并与高分辨率模型进行比较。向学术界和工业界介绍研究结果。这项研究的结果可以对相关行业产生重大的经济影响，并有助于专业软件和工具的商业化，这将有助于正在进行的关于技术机会的讨论。

This research project will concentrate on the maximisation of predictable energy output, cross-validation of industrial and academic models as well as the elimination of uncertainty and enhancement of feasibility of proposed schemes while attracting potential investors. The long-term scope of this study is to establish a coherent methodology along with a multi-objective optimisation framework to quantify the contribution of tidal range to the UK's energy sector by taking into consideration the flexibility of the operation schedule of the hydraulic components of tidal range schemes while minimizing costs. The primary aims are broken down to i) an extensive assessment and reporting on technological advances on the performance of tidal range turbines to date, and ii) the utilisation of techno-economic specifications provided by the industry and particular from Tidetec that will be used to assess and improve academic findings usually based on limited technology-specific information. The main objectives of the study are summarised as follows:i. Assess existing simple operational models on tidal range plants that are universally used as industry standards and extensive review on more elaborated models. ii. Develop an economic potential model for the operation and maintenance of tidal power plants and refine turbine parameterisation in comparison to widely used simplified specifications. iii. Appraise the optimisation methods and improve their computational efficiency, by conducting a series of sensitivity tests on corresponding methods. iv. Perform hydrodynamics-constrained optimisation using coarse hydrodynamic models and compare against high-resolution modelling.v. Presentation of the findings to academia and industry. The findings of this study can have a major economic impact on the related industry and assist in the commercialisation of specialised software and tools that will contribute to the ongoing discussion about the technology opportunities.