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Open AccessArticle

A Functional Data Analysis for Assessing the Impact of a Retrofitting in the Energy Performance of a Building

1
Department of Mechanical Engineering, Heat Engines and Fluid Mechanics, Industrial Engineering School, University of Vigo, Maxwell s/n, 36310 Vigo, Spain
2
ENEDI Research Group, Department of Thermal Engineering, University of the Basque Country, 48013 Bilbao, Spain
*
Author to whom correspondence should be addressed.
Mathematics 2020, 8(4), 547; https://doi.org/10.3390/math8040547
Received: 13 February 2020 / Revised: 18 March 2020 / Accepted: 19 March 2020 / Published: 7 April 2020
(This article belongs to the Special Issue Functional Statistics: Outliers Detection and Quality Control)
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. View Full-Text
Keywords: retrofitting; refurbishment; functional data analysis; vectorial analysis; energy efficiency retrofitting; refurbishment; functional data analysis; vectorial analysis; energy efficiency
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Martínez Comesaña, M.; Martínez Mariño, S.; Eguía Oller, P.; Granada Álvarez, E.; Erkoreka González, A. A Functional Data Analysis for Assessing the Impact of a Retrofitting in the Energy Performance of a Building. Mathematics 2020, 8, 547.

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