Data Analytics to Support Energy Efficiency Assessment in Buildings for Education

Abstract

Education buildings are one of the most important and relevant public buildings. Educational system itself and the conditions of these buildings are very important issues to the community. The sustainability of such buildings can only be achieved to the extent that, at local level, measures regarding the physical renovation will be combined with measures that promote environmental protection. The energy retrofitting of existing school buildings in recent years is part of the policies of the European Union and, consequently, of Romania. In this paper we put together data that establish the current status of a stock of 12 educational buildings and assess the level of applying building standards in each case, the available retrofit solutions, and what would be the impact of the applied solutions. One big challenge regarding existing school buildings is the collection of high-quality data. This paper presents complex data analytics with the aim of providing a framework and a methodology able to identify the best energy retrofit interventions from the perspective of cost-benefit, and to correlate them with the specific characteristics of the educational buildings. Based on the collected and aggregated data, for each building a validating procedure has been put in place by dynamic simulations and a comparison with actual energy use was performed.