Research into improving wind power forecasts and development of a new application of the weather model.
Wat wordt je opdracht?
Arcadis uses an in-house state-of-the-science meteorological model for weather forecasts, air quality studies, the prediction of the long term wind climate, short term wind power forecasts etcetera. This model is more and more being used for wind energy projects. Through international collaboration, this product has been further developed last year for the wind energy market and introduced in the Dutch market. It has been optimized for use in combination with the software packages WindPRO and WAsP for the prognosis of the long term energy yield of wind farms.
The research internship is mainly aimed at the optimisation and validation of short term (intraday and day-ahead) wind power forecasts. We would like to further improve short term predictions by pattern recognition (statistical analysis) and to better determine the influence of weather parameters on wind power and the accuracy of the forecast. This knowledge will be used to even better predict the power and expected accuracy. This will be demonstrated by checking the predictions against the allocated production. Further, the internship includes the development of an innovative new application of the weather model.
Also, attention is drawn to long term power forecasts. We would like to further validate the weather model for the European situation using available historical observations at meteorological stations and production data from wind farms. The research internship is focused on further determining the accuracy of the model in the European situation, determining which factors play an important role and the resolution in which these are included in the calculation. This will be used to increase and ensure the accuracy.
Besides the specific research project there is also room to assist in regular studies for wind sites.
Will you help us to further optimize our state-of-the-science power forecast model and the development of a new product?
Wat vragen wij?
For our 3 to 6 months (Graduation) internship 'pattern recognition day-ahead power forecasts wind farms' we are looking for a student with the following competences:
- bachelor/master student with a study related to computer science, physics, mathematics, meteorology, aerospace engineering or mechanical engineering;
- experience with statistical modelling and pattern recognition and with programming in Python;
- strong analytical skills;
- strong sense of purpose, enthusiastic and eager to learn;
- good English oral and verbal skills are essential;
- experience with meteorological models is an advantage.
Wat bieden wij?
Arcadis supplies integrated, sustainable and socially responsible solutions in the areas of infrastructure, environment, water and buildings. This is how we create surplus value for our clients, employees and other stakeholders. We are practical, professional, flexible and entrepreneurial. Quality, sustainability and diversity are our guidelines. We are thus exceptionally proud of having received the award for Best Employer in the Netherlands (Incompany 200). The crowning glory of our 125 years in business and another incentive to go forward in shaping the world of tomorrow.
Arcadis offers students in all kinds of degree programmes a whole range of interesting work placement and graduation projects. Every year, dozens of students choose ARCADIS as the organisation for their graduation project or work placement. In most cases, our projects determine the content of the student’s activities with us; the actual work placement or graduation project usually develops within the framework of a dialogue with the student. During your activities with us, you will receive a supervisor who will introduce you to our employees, our culture and the opportunities available to you at Arcadis.
On our website you will find more information about our company.
Heb je vragen?
If you are interested in this position, please contact Raïscha O’Prinsen, Campus Recruiter, on tel. +316 5073 6808 or via email@example.com. You can apply by using the ‘Solliciteren’-button at this page.
Recruitment agencies need not respond. Details from this vacancy are not to be used for marketing purposes.