Hydrodynamics-informed multi-objective control optimisation for tidal power plant systems integration
Hydrodynamics-informed multi-objective control optimisation for tidal power plant systems integration
批准号:
2638079
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2021
资助国家:
英国
项目状态:
未结题
起止时间:
2021 至 --
中文摘要
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英文摘要
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.
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