BEMÆRK: Ansøgningsfristen er overskredet
We seek an enthusiastic and engaged PhD willing to work in a world-leading research environment and contribute to developing a surrogate model for optimizing wind farm cluster scenarios with rules for other economic, ecological, and practical constraints.
As wind farms grow, particularly offshore, they must compete for areas reserved for nature protection and other uses of the land and sea (e.g., agricultural areas, fishing and ship routes). Further, they must also compete to extract the most energy and avoid the decremental wind conditions generally observed downstream of other wind farm arrays. Large offshore wind farms can suffer from reduced efficiency and procure long wakes that highly impact the energy production of neighboring wind farms. These effects have been incorporated into engineering, mesoscale, and high-resolution atmospheric and computational fluid dynamic models. However, simulations are expensive, particularly at high resolutions, and thus, it can be impractical to simulate all the possible wind farm development scenarios needed.
In this PhD, you will investigate how to combine wind farm models of different fidelity, which include high-resolution models based on large-eddy simulations and actuator disk turbine models as well as mesoscale models based on wind farm parameterizations, to accurately determine the effects of neighboring wind farms in the efficiency of large wind farm clusters. Also, by combining physical simulations and machine learning techniques, you will investigate the ability of surrogate models to determine large wind farms’ efficiency and wake characteristics, as well as the wake model uncertainty. The surrogate model will be constructed considering wind farm characteristics (turbine characteristics, size, shape, and capacity density of the wind farms) and atmospheric parameters (wind speed, direction, and turbulence levels). The main challenges of the research are twofold. First, determine how to model large wind farms and clusters within atmospheric models efficiently. Second, determine how to construct the surrogate model of the atmospheric models in a physically realistic way. The models will optimize wind farm clusters' size, density, and location. The models will also optimize wind farm cluster scenarios with rules for other economic and practical constraints (e.g., power production, installation, and maintenance costs) and uses of the land and sea (leaving suitable habitats for sea mammals and birds). If you are eager to contribute to the fight against climate change while safeguarding natural areas, we have the perfect position for you.
The successful candidate has an MSc degree in meteorology, oceanography or related engineering field. Candidates are required to have:
- Experience with Fortran, Python, C++ or other advanced programming languages.
- Experience with high-performance computing.
- Experience with atmospheric modeling (mesoscale, CFD, or equivalent).
We will also look for a candidate that has:
- Dedication and the desire to learn.
- Knowledge of wind energy and preferably also flow, wake and turbulence modeling.
- Ability to present results in technical reports and prepare scientific papers.
- Ability to take responsibility for own research goals.
- Communicate and report excellent in English.
You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree.
Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education
.
We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.
Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.
You can read more about career paths at DTU here http://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths.
Further information
Senior Researchers Andrea N. Hahmann (ahah@dtu.dk
) and Alfredo Peña (aldi@dtu.dk
) will assess the applicants. They can also be contacted for further information.
You can read more about DTU Wind at https://wind.dtu.dk/
If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar ” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU.
Application procedure
Your complete online application must be submitted no later than 14 June 2024 (23:59 Danish time)
.
Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file . The file must include:
- A letter motivating the application (cover letter)
- Curriculum vitae
- Grade transcripts and BSc/MSc diploma (in English), including an official description of the grading scale
You may apply prior to obtaining your master's degree but cannot begin before having received it.
Applications received after the deadline will not be considered.
All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.
Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.
INFORMATIONER OM STILLINGEN:
- Arbejdspladsen ligger i:
Roskilde Kommune
-Virksomheden tilbyder:
-Arbejdsgiver:
DTU-RISØ, Frederiksborgvej, 4000 Roskilde
-Ansøgning:
Ansøgningsfrist: 14-06-2024; - ansøgningsfristen er overskredet
Se mere her: https://job.jobnet.dk/CV/FindWork/Details/6060475
