Computational Methods in Geothermal Energy

Computational Methods
in Geothermal Energy
Master thesis for students of
Energy Science and Engineering and
Applied Geosciences
Offered by the chair of
Applied Geothermal Science and Technology
Schnittspahnstraße 9, 64287 Darmstadt, B2|02
In Germany, heating accounts for approximately 60 % of the end
energy consumption in private households (AGEB, 2011). Consequently, there is an enormous potential for energy conservation in
this sector. To exploit this potential, the use of borehole heat exchanger (BHE) systems has become increasingly popular in the
past decades. Geothermal energy is a virtually infinite source. Advances in thermal enhancement of BHE materials, the progressing
development of more efficient heat pumps and the reduction of Source:
CO2-emissions are the promising advantages of this technology.
With the growing BHE market, there is an increasing demand for simulation tools and
optimization techniques. The aim of this thesis is the development of a sub-routine simulating a double-U-BHE and its implementation into a larger project. Additionally the solution will have to be validated with field data and a commercial software.
We are looking for a motivated and dedicated student with an affinity to programming
who is eager to make a contribution to our efforts to develop a simulation and optimization tool for BHEs. MATLAB skills or at least the willingness to learn MATLAB are required. The candidate should have basic knowledge in the fields of geothermal science or
thermodynamics. Also, the faculty requirements to take on a master thesis must be fulfilled.
Interested students may contact
Daniel Schulte ([email protected] or 06151 16-76078)
Bundesministerium für Wirtschaft und Technologie (BMWi) Öffentlichkeitsarbeit (2013), Energie in Deutschland Trends und
Hintergründe zur Energieversorgung.