Data-driven statistical analysis of energy performance and energy saving potential in the Flemish public building sector

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Abstract

This paper will focus on the energy performance of the public building sector in Flanders (Belgium) by analysing the recently published EPC database. The main aim of this paper is to firstly have a qualitive and quantitative overview of the current energy performance of different building categories in the Flemish public building sector. The non-residential building types (office, educational, healthcare etc.) will be categorized. Within each category, a set of typologically representative non-residential buildings will be further identified, while a data driven cluster analysis will be carried out in order to define these non-residential archetypes. Moreover, the less energy efficient building sets will be identified by benchmarking the energy performance within the defined building categories, and the relative potential energy saving targets and pathways will be quantified and evaluated in order to provide policy support in improving energy efficiency of the poorly performing public buildings.

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Ma, Y., & Reynders, G. (2019). Data-driven statistical analysis of energy performance and energy saving potential in the Flemish public building sector. In Journal of Physics: Conference Series (Vol. 1343). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1343/1/012051

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