A Functional Data Analysis for Assessing the Impact of a Retrofitting in the Energy Performance of a Building
| Autor: | Sandra Martínez Mariño, Enrique Granada Álvarez, Miguel Martínez Comesaña, Aitor Erkoreka González, Pablo Eguía Oller |
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| Rok vydání: | 2020 |
| Předmět: |
Computer science
020209 energy General Mathematics 3308 Ingeniería y Tecnología del Medio Ambiente 3322.04 Transmisión de Energía 02 engineering and technology 010501 environmental sciences 3305.03 Grandes Edificios y Rascacielos 01 natural sciences 0202 electrical engineering electronic engineering information engineering Computer Science (miscellaneous) Retrofitting 1209.03 Análisis de Datos Engineering (miscellaneous) energy efficiency 0105 earth and related environmental sciences functional data analysis Consumption (economics) vectorial analysis refurbishment lcsh:Mathematics Novelty retrofitting Functional data analysis Energy consumption lcsh:QA1-939 Reliability engineering Energy conservation Work (electrical) Efficient energy use |
| Zdroj: | Addi. Archivo Digital para la Docencia y la Investigación instname Mathematics, Vol 8, Iss 547, p 547 (2020) Mathematics Volume 8 Issue 4 Addi: Archivo Digital para la Docencia y la Investigación Universidad del País Vasco |
| Popis: | 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. This paper was funded by the Spanish Government (Science, Innovation and Universities Ministry) under the project RTI2018-096296-B-C21. |
| Databáze: | OpenAIRE |
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