Data driven post-analysis of technical room in residential building

My master’s thesis, “Data-Driven Post-Analysis of a Technical Room in a Danish Residential Building,” evaluates the energy performance of a 10-storey building by analysing data from the heating substation and building sensors. The project focuses on identifying and applying Key Performance Indicators (KPIs) to assess space-heating efficiency, building envelope performance, and the operational behaviour of the heat exchanger.

 

By comparing data collected over a span of 3 years, before and after optimisation measures implemented by NorthQ, the study demonstrates how adjustments to the weather compensation curve improved the stability and efficiency of the heating supply. The analysis highlights that heat exchanger effectiveness and mass flow regulation play a critical role in reducing energy losses and improving supply-demand matching within the district heating system. Additionally, transmission loss calculations and annual energy consumption trends reveal how the building’s envelope and heating strategy impact overall energy demand. The findings provide a structured framework for continuous performance evaluation and underline the value of data-driven analysis in improving building energy systems.