Master theses

Efficiently optimizing energy consumption in buildings not only requires advanced technology, additionally, a structured approach to data collection and in-depth knowledge about the building is needed. DYAMAND, a spin-off from imec and Ghent University, has developed the eSave technology to enhance energy efficiency and user comfort. However, there is currently no standardized method to capture all relevant building information during the onboarding process. At present, this relies on the experience and expertise of sales agents to identify critical factors such as the heating system type, the number of emission systems (e.g., radiators), and window specifications.

This thesis aims to establish a structured process to ensure that all necessary building data is captured systematically, reducing dependence on individual expertise. By developing a standardized approach, the accuracy and efficiency of building onboarding can be significantly improved. To achieve this, the student can research one or more of the following components:

• Designing a Knowledge Graph (KG) that captures all relevant concepts when onboarding a new building.
• Designing a digital platform where building information can be systematically gathered. This includes uploading relevant documents such as building plans and EPC certificates, extracting pertinent information, and allowing additional data entry during site visits.
• Optimizing user experience by ensuring the platform works seamlessly on a tablet, to facilitate easy data collection and streamline the onboarding process.