Master Thesis - Temporal Resolution of Intermittent Renewable Energy Sources for Energy System Modeling
Your Job:
Energy system models are often optimized in hourly time steps. The integration of intermittent renewable energy sources, though, puts these hourly models` accuracy to the test because they produce errors when compared to subhourly or minutely time steps. As a result, it becomes essential to downscale the time series data for intermittent renewable energy sources that are globally available.
In this master thesis, you will contribute to making latest models more reliable by increasing the resolution of time series and quantifying the impact of higher resolved time series on future energy system designs.
The tasks below are the step stones:
- Identification of open access wind speed time series data
- Literature review on methods of increasing the temporal resolution of wind speed data
- A review article on downscaling a wind speed time series data
- Improved data synthesis approach to downscale wind speed up to 1min and not location dependent
- Subhourly modeling quantification and optimization
Your Profile:
- You are in your master studies of economics, engineering, or a comparable course of study.
- Interest in today`s challenges of the energy transition and the economic consequences
- High self-motivation to solve complex problems
- Independent way of working
- Basic programming skills (Python) are advantageous
- Fluent written and spoken English skills
Our Offer:
We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with:
- An interesting and socially relevant topic for your thesis with a forward-looking theme
- A diverse and highly motivated working group of international character within one of the largest research institutions in Europe.
- Intensive supervision at a flexible workplace
- Excellent scientific and technical infrastructure
- Working for one of the best employers in Germany - 6th place in the Glassdoor award for employee satisfaction: https://www.glassdoor.de/Award/Beste-Arbeitgeber-Deutschland-LST_KQ0,29.htm
- Flexible working hours and adequate remuneration
We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.
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