Offshore wind energy plays a central role in Europe’s transition to a carbon-free energy system. In Europe, numerous offshore wind zones surpass 1GW in capacity, several of which are under construction. At these sizes, wind farms interact with the atmospheric boundary layer and the local meso-scale weather system. Only very recently, the importance of these effects for wind-farm operation have been recognized. For instance for the combined Belgian–Dutch offshore cluster, the effect of wind-farm induced gravity-wave systems on the overall Annual Energy Production can be up to 6% (less production), and up to 30% on hourly production. Two-way interaction with other meso-scale systems, such as land–sea breeze or convection cells may also be important, but this has not yet been investigated to date. These effects are not included in current windfarm planning and forecasting tools. The FREEWIND project aims at developing a planning and forecasting platform that includes mesoscale feedback. A central case study will be centered around Belgian’s offshore wind zones. The platform is made available open-source through a dedicated web interface that allows for online scenario analysis. The FREEWIND project (Development of a Fast REsourcE planning and forecasting platform for the Belgian offshore WIND zones) is financed by the Flemish Energy Transition Fund, which aims to encourage and support energy research and development supporting the transition to a carbon-neutral society. The project team consists of nine researchers and supporting staff. Three PhD students will be recruited at the start of the project and work full time for four years. A data scientist and ICT engineer, will work part time on the project. The project is closely aligned with another funded project on two-way meso–micro coupling for wind farm optimization and design, carried out by two PhD students at KU Leuven. The project is led by Prof. Johan Meyers (Turbulent Flow Simulation and Optimization (TFSO) research group; department of Mechanical Engineering) and Prof. Nicole van Lipzig (Regional Climate Studies (RCS) research group; department of Earth and Environmental Sciences). Within the TFSO and RCS group there is ample of expertise on the modelling tools needed for the FREEWIND project. For this position, Prof. Nicole van Lipzig will be main advisor and Prof. Johan Meyers will be co-advisor.
Current operational forecasting models (e.g. used for market bidding strategies or the planning of ancillary services), do not consider effects of two-way coupling in large off-shore farms. With modern wind turbines reaching capacities of up to 9.5 MW and heights of up to 220m, and considering the planning of large wind farm clusters in in Europe’s North-Sea region, the inclusion of these effects is important. Currently, neither planning tools, nor operational forecasting tools take two-way meso-scale coupling into account. Therefore, the development and open availability of fast models that include two-way coupling will be paramount for the efficient development and future exploitation of offshore wind farms. As a case study, the the Belgian offshore zone and Belgian’s offshore wind farms are considered. The PhD will work on developing the algorithm for the forecasting of the wind resources. The algorithm will be based on the operational weather forecasts adjusted for the effect of feedback processes using mesoscale atmospheric model integrations at a resolution of 0.3 km together with an atmospheric perturbation model developed by KU Leuven (Allaerts & Meyers, JFM 2019). Moreover you will investigate the potential of using satellite data, together with the perturbation model, for nowcasting wind resources for an hour to a day ahead. This PhD project ultimately aims at the development of a tool for wind resource forecasts (1 day to 7 days). Moreover, the demonstration of nowcasting (30 min to 1 day) potential using satellite data – available in real time – in combination with the perturbation model is foreseen.
Candidates have a master degree (at the start of their contract) in one of the following or related fields: earth- and environmental sciences (geography, meteorology, atmospheric sciences, bioscience engineering, etc.), fluid mechanics, physics, mathematics, informatics or civil engineering. You should have a good background or interest in programming (Fortran, C/C++, MATLAB, Python, …). Proficiency in English is a requirement. The position adheres to the European policy of balanced ethnicity, age and gender. Both men and women are encouraged to apply.
The PhD position lasts for the duration of four years, and is carried out at the University of Leuven. During this time, the candidate also takes up a limited amount (approx. 10% of the time) of teaching activities. The remuneration is generous and is in line with the standard KU Leuven rates. It consists of a net monthly salary of about 2000 Euro (in case of dependent children or spouse, the amount can be somewhat higher). Ideal start time is March 1st 2020, but earlier / later starting dates can be negotiated.
In exceptional case, applications for Postdoctoral researcher can be considered.
a) an academic CV and a PDF of your diplomas and transcript of course work and grades
b) a statement of research interests and career goals, indicating why you are interested in this position
c) a sample of technical writing, e.g. an abstract of a paper with you as main author, or an abstract of your bachelor or master thesis (max. 1 page)
d) a list of at least two references: names, phone numbers, and email addresses
e) some proof of proficiency in English (e.g. language test results from TOEFL, IELTS, CAE, or CPE)
For more information please contact Prof. dr. Nicole Van Lipzig, tel.: +32 16 32 64 53, mail: email@example.com or Prof. dr. Johan Meyers, tel.: +32 16 32 25 02, mail: firstname.lastname@example.org
Applications by email are not considered. If you are interested in more positions, please submit your application for each of them separately. Review of the applications will start immediately until the position is filled.
You can apply for this job no later than May 31, 2020 via the online application tool
KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR@kuleuven.be.Continue reading
|Title||Forecasting Wind Resources|
|Job location||Oude Markt 13, 3000 Leuven|
|Published||November 19, 2019|
|Application deadline||May 31, 2020|
|Job types||PhD  |
|Fields||Environmental Science,   Geography,   Civil Engineering,   Meteorology,   Bioengineering,   Atmospheric Sciences,   Remote Sensing,   Mechanical Engineering,   Fluid Mechanics,   |