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Advertising division: IEK-3 - Electrochemical Process Engineering
Reference number: D137/2018, Energy engineering, energy systems engineering, computer science, process engineering, mechanical engineering, sustainable energy supply, chemical engineering

Master thesis: Spatial Aggregation of Onshore Wind Turbines by Power Generation

Start of work: by arrangement

Background
In the light of the international climate protection goals a further massive expansion of renewable energies (wind turbines and photovoltaic power plants in particular) is considered as indispensable. Their fluctuating occurrence requires further developed solutions of short- and long-term energy storage. The conversion of electricity to hydrogen by means of electrolysis also referred to as power to gas, offers a promising technology pathway for seasonal storage of energy and at the same time being a carbon free fuel for the transport sector.

At the IEK-3 international energy concepts are developed to convert energy from intermittent renewable energy sources into hydrogen and make it available to other energy sectors like mobility or industry. In this regard an international hydrogen infrastructure for exports and imports of hydrogen is of vital significance. In terms of hydrogen production via renewable energy, location and cost of renewable energy components play an important role in the design of energy systems involving countries having different potential for each component. Up to now the spatial resolution of wind power production has been coarse due to constraints in solution time. Averaging time series data of each location is an option to decrease the solution time. However, high potential locations for renewable energies in each region are not represented adequately with this method, since they are compensated by low potential regions. In order to overcome this problem, different types of locations can be clustered and averaged.

Your task
Within the scope of this thesis, regions having similar wind potential have to be clustered in accordance to the average wind speeds of each location. Taking into account the number of clusters affecting solution time of energy systems model, various types of clusters should be obtained so that regions with high wind potential are not compensated by lower ones. By using different number of clusters, the power generation of each cluster can be calculated. Following that the impact of clustering can be observed in an existing energy systems model.
The objective of the master thesis is to determine the number of clusters resulting in an acceptable solution time and capturing general behavior of wind power generation within the regions. Change in the model results with respect to the number of clustered wind will be analyzed by using an exemplary energy system model.

The following tasks are to be dealt with in the course of this thesis:

  • Determine the most appropriate method to cluster the wind turbines by using average wind speeds (such as percentile or standard deviation as a threshold for clustering)
  • Creating different number of clusters by changing average wind speed thresholds
  • Produce average wind time series data for each clustered region to be used in the optimization model to observe changes in the results
  • Use of the wind time series data in the existing energy systems model to find energy systems design with minimum cost for each number of cluster (for example, use of 3 clusters meaning 3 averaged wind time series data per region versus 6 clusters)
  • Analyzing model results in terms of the total wind turbine capacities installed within regions
  • Determining the optimal number of cluster to be considered in energy systems design

Your profile

  • Very good academic records in energy engineering, energy systems engineering, computer science, process engineering, mechanical engineering, sustainable energy supply, chemical engineering or a comparable field
  • Interest in wind energy, energy systems and future energy markets
  • High individual motivation, good analytical skills and fluent command of English
  • Experience of programming in GIS and Python

Our offer

  • A pleasant working environment within a highly competent, international team in one of the most prestigious research facilities in Europe
  • You will be remunerated, supported by top-end scientific and technical infrastructure as well as closely guided by experts
  • You will have the opportunity to work with keen researchers from various scientific fields and be part of designing the future European energy system

Contact
Dilara Caglayan
Institute of Energy and Climate Research (IEK)
IEK-3: Electrochemical Process Engineering
Process and Systems Analysis
52425 Jülich

E-Mail: d.caglayan@fz-juelich.de
Tel. 02461 61 5396
http://www.fz-juelich.de/iek/iek-3/EN

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