Abstract
There is an increasing interest in reducing the energy consumption in buildings and in improving their energy efficiency. Building retrofitting is the employed solution for enhancing the energy efficiency in existing buildings. However, the actual performance after retrofitting should be analysed to check the effectiveness of the energy conservation measures. The aim of this work was to detect and to quantify the impact that a retrofitting had in the electrical consumption, heating demands, lighting and temperatures of a building located in the north of Spain. The methodology employed is the application of Functional Data Analyses (FDA) in comparison with classic mathematical techniques such as the Analysis of Variance (ANOVA). The methods that are commonly used for assessing building refurbishment are based on vectorial approaches. The novelty of this work is the application of FDA for assessing the energy performance of renovated buildings. The study proves that more accurate and realistic results are obtained working with correlated datasets than with independently distributed observations of classical methods. Moreover, the electrical savings reached values of more than 70% and the heating demands were reduced more than 15% for all floors in the building.
Highlights
The building sector is considered the largest energy consumer in the European Union, representing 40% of the final energy consumption [1]
The numerical results were based on the p-values of the Analysis of Variance (ANOVA) and Kruskal tests in the vectorial analysis, and on the p-values of the functional ANOVA (FANOVA) in the functional analysis
A new application of Functional Data Analysis (FDA) and a new methodology to assess the impact of retrofitting in buildings are presented in this paper
Summary
The building sector is considered the largest energy consumer in the European Union, representing 40% of the final energy consumption [1]. There is increasing interest in improving the energy efficiency of buildings [3,4,5]. The potential of saving energy by renovation in Europe is considerable as two-thirds of European buildings were constructed before 1980 [6]. Building retrofitting can contribute to reduce the energy consumption of existing buildings with lower energy efficiencies. In this context, it is important to develop methodologies that can evaluate the actual impact of refurbishment on renovated buildings in terms of energy consumption, thermal comfort and lighting
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