- About the position
- A new PhD fellowship in Reduced order models for wind simulations of wind power plant is available at the Department of Mathematical Sciences at NTNU from fall 2019. The successful candidate will be offered a three-year position. The Department may offer a twelve month extension as a teaching assistant. The work place will be Trondheim.
- Main duties and responsibilities
- Wind energy projects are today developed mainly as large wind farms or clusters of wind farms, e.g. Dogger Bank (UK) is being planned with four projects each rated 1200 MW offshore, and Fosen Wind (NO) is being constructed with six land-based wind farms totalling 1000 MW. Attention is on reducing costs and increasing profitability. This can be achieved through design optimization, but also by optimizing the operation and maintenance (O&M) of the wind power plant (WPP). The KPN-project OPWIND (cofunded by the Research Council of Norway and industrial partners) will develop knowledge and tools for O&M optimization, in particular focusing on optimizing the operational control of WPPs.
- NTNU has a strategic collaboration agreement with SINTEF and DTU (Danish Technical University) and has established the Nordic Offshore Wind Research and Innovation Centre (NOWRIC). The NOWRIC Center is a solid platform for both academic and industrial collaboration. The present PhD project will be associated to the NOWRIC Center and will take advantage of collaboration with researchers at both NTNU, SINTEF and DTU Wind Energy.
- Such optimization using state-of-the-art high-fidelity simulation tools is not convenient and efficient. There has also been an increasing demand of computationally efficient real-time simulation tools. To this end part of the current project focuses on developing Reduced Order Models (ROMs) for aerodynamic applications. The ROMs is expected to bridge the gap between high fidelity numerical simulations and industrial needs of computationally efficient tools. A ROMs approach consists of using results from high fidelity numerical simulations to construct what are called "Reduced Bases" which are used in an online simulation to solve similar problem with much fewer degrees of freedom. However, the success of such models depends on some questions which the PhD candidate along with experts in Computational Mathematics and Offshore Wind Technology will answer in the project. These questions are: How do we choose the simulation set-up for high fidelity simulations so that we span the solution space in an optimal way? Which method should be utilized to construct the reduced order basis for the flow dynamics, from which we can reconstruct the solution for a new scenario, based on available input conditions? What are relevant quality criteria for the ROM in the context of aerodynamics of wind turbines, and how can the approximation properties of the ROM be optimized?
Additonal Academic Requirements
No experience is required.
Additonal Experience Requirements
- We seek a highly motivated individual with good analytical and communication skills holding a Master’s degree in applied/numerical mathematics or corresponding education with a solid background in finite element analysis. Familiarity with atmospheric flow and fluid mechanics is an advantage. Applicants must have significant programming experience ideally in C, C++ and/or Python. Applicants are required to justify their candidateship by explicitly explaining their personal motivation and academic aptitude for pursuing a doctoral degree within this research field. Applicants that expect to complete their Master’s degree by spring 2019 can apply.
- Academic results, publications, relevant specialization, work or research experience, personal qualifications, and motivation will be considered when evaluating the applicants.
- The applicants who do not master a Scandinavian language must document a thorough knowledge of English (equivalent to a TOEFL score of 600 or more).
- Applicant should have experience of working in the following category(ies): Teaching & Academics
- Experience should include the following skills: Education/Training
Company Profile: NTNU has the main responsibility for higher education in technology in Norway, and it is the country’s premier institution for the education of engineers. The university offers several programmes of professional study and a broad academic curriculum in the natural sciences, social sciences, teacher education, humanities, medicine and health sciences, economics, finance and administration, as well as architecture and the arts.