Master Thesis - User Behavior in Buildings based on Automated Model Generation

Your Job :

The building sector offers a large potential for energy savings and the realization of the climate and energy consumption goals defined by Germany and the EU. Using building simulation models, the energy consumption during operation can be simulated from different angles. Based on a toolchain, which automatically generates building Modelica models based on an intuitive language for room descriptions developed at the institute, campus building plans and measurement data, simulation should be conducted with respect to different aspects that are playing an ever greater role in future buildings. In this work, it should be analyzed, based on existing measurement data, how much the real user behavior on the campus deviates from an ideal simulated one. The deviation of the consumption estimated during the planning of the building from the one measured during operation constitutes a peculiarity that occurs in a wide range of buildings. This phenomenon should be further investigated to reveal inefficiencies in user behavior and to provide a base for sensitization of users. Tools for conducting the work are Python for implementation of the analysis tools and partly the simulation software Dymola for simulation and modeling of the Modelica building models.

Your tasks in detail :

• Simulation and analysis of the deviation between real and ideal, energy-efficient user behavior based on existing measurement data
• Investigation of the widespread phenomenon that the energy consumption estimated during the planning of buildings substantially deviates from the one measured during operation
• Revealing of inefficiencies in user behavior and provision of a base for sensitization of users
• Tools are Python for implementation of the analysis tools and partly the simulation software Dymola for simulation and modeling of the Modelica building models

Your Profile :

Our Offer :

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