Institute of Solar Research
Area of research:
Diploma & Master Thesis
You want to contribute to the transformation of our energy system?
You appreciate the importance of the energy supply of buildings when it comes to fulfilling the world’s climate goals?
You would like to work with modern methods to analyze geo and satellite data?
So this is for you!
Crucial steps on the road to a sustainable energy supply of buildings are the development of regional energy supply concepts as well as the planning of heating and cooling networks for cities and districts. Municipalities, architects, engineers and energy providers are often challenged by the task to estimate the energy demand of buildings for large areas. To avoid time-consuming on-site inspections they often use building typologies as proxy information. To estimate the energy demand of a building based on a building typology the building age is an important parameter. Many common typologies use age classes to assign building physical properties and likely heating or cooling systems to a building.
However, the age of buildings is not systematically collected in wide parts of Germany and other countries. Therefore, it will be your task to develop a technique to estimate age classes of buildings based on geo and satellite data. You will choose an appropriate method together with your advisors. You will use this to study if there are correlations between various spacial or socio-economic parameters and the age of buildings. Possible data sources are OpenStreetMap, remote sensing data of buildings, vegetation and infrastructure or official building statistics.
You will be advised by researchers of the German Remote Sensing Data Center (DFD) in Oberpfaffenhofen and the Institute of Solar Research.