Open subjects for BSc and MSc theses

In general, any application with a thesis proposal dealing with our research lines (see below) will be considered for support, upon an evaluation of its technical and strategic soundness, and taking into consideration the resources availability (tutors time and infrastructure) within our Department. Applications can be sent directly to the contact person of the working groups for consideration.

Moreover, the following subjects are currently open within our research groups and the research projects of our Department:

Research Group Renewable Energies

M.Sc. Topic I: “Modeling seasonal fluctuations in biogas/biomass production

Supervisor: Dr. Danial Esmaeili Aliabadi | E-MAIL

Modeling seasonal fluctuations in biogas/biomass production considering environmental factors such as the amount of rain and sunlight.
  • Assessing the flexibility of bioenergy considering the variability in the available biomass.
  • The interested student will be asked to develop a systematic approach, statistical or data-driven methods (e.g., deep learning, LSTM, ARIMA) to model the variability of the available biomass based on the type of agricultural residues.
  • The environmental damages for long-term storage is taken into account with respect to the storage method.

M.Sc. Topic II: “Spatially-explicit modeling of the bioenergy in Germany”

Supervisor: Dr. Danial Esmaeili Aliabadi | E-MAIL

  • Increasing the spatial resolution of the Bioenergy Optimization (BenOpt) model using GIS information.
  • Developing new tools to facilitate the interaction between backend (i.e., the GAMS solver) and frontend (i.e., user-interface).
  • Analyzing consumers’ behavior using an agent-based model in connection with the produced optimization model.

[taken until Oct 2022] M.Sc. Topic III: “Increasing the temporal resolution of the heat sector in BenOpt”

Supervisor: Dr. Matthias Jordan | E-MAIL

  • Increasing the temporal resolution of the heat sector in BenOpt to a monthly, weekly or daily one.
    a) The heat demand data will be scaled based on a given method from an annual resolution to a monthly/weekly resolution.
    b) Adapt “Production and Capacity” of the technology concepts within the model.
    c) Implement a PV-Yield function
    d) Consider varying power/ feed-in prices for industry plants.
    e) Calculate scenarios and compare them to former scenarios.

B.Sc. Topic IV: “Closest to the energy transition: expansion of renewable energies in (former) lignite mining areas.”

Supervisor: Nora Mittelstädt | E-MAIL

  • Registration of German lignite areas in GIS software and overlap with renewable energy additions and land cover classes
  • Assessment of administrative and political conditions (for example: re-cultivation obligations) for (former) lignite mining areas
  • Qualitative analysis, for example by method of causal-process tracing

B.Sc./M.Sc. Topic V: “Image recognition of wind turbines on aerial photographs with machine learning and deep learning methods”

Supervisor: David Manske | E-MAIL

  • Existing geodata on wind turbines could be incorrect in terms of their localization. To validate these datasets in terms of their geographical location, image recognition can help identify datasets with incorrect geographical positions.
  • Validation of existing geodata with wind turbines using open source aerial imagery
  • Image recognition with Machine Learning/deep learning methods with Python or R

B.Sc./M.Sc. Topic VI: “How fair is the energy transition?”

Supervisors: David Manske & Nora Mittelstädt | E-MAIL

  • With the energy transition, there are region-specific winners but also losers. But who are they? Which stakeholders/regions benefit from the energy transition and which are left out in the cold?
  • Assessment of local hotspots of the energy transition in conjunction with socio-economic indicators
  • Stakeholder analysis

Research Group System Analysis of the BioEconomy

M.Sc. Topic I: Development of socio-economic end-point indicators for the bioeconomy in Germany.

Supervisor: Dr. Alberto Bezama | E-MAIL

  • Defining social issues in German waste management of biobased materials / wood
  • Applying the (modified) UNEP/SETAC guidelines to assess social impacts Of recycling
  • Application in a case study: recycling of bio-based materials in Germany
  • Identifying possible aggregation options for the socio-economic indicators to develop end-point indicators

M.Sc. Topic II: Evaluation of selected decision alternatives for internalization or outsourcing of heat utility services in the context of eco-industrial cooperations in bio-based-industries

Supervisor: Dr. Alberto Bezama | E-MAIL

  • Efficiency analysis for selected wood and fiber drying processes
  • Technical-economic pre-feasibility studies of efficiency enhancement alternatives for wood and fiber drying processes
  • Analysis of innovative financing schemes for efficiency enhancement alternatives in complex industrial networks

MSc. /BSc. Topic V: Assessment of woody biomass flows in a regional context – Life cycle inventory and scoping LCA

Supervisor: Dr. Alberto Bezama | E-MAIL