Assessment of a methodology to evaluate constructive systems for industrialization: the case of dwellings in Spain.

Building monitoring systems deliver large volumes of information and advanced data analysis tools are available. A fault detection and diagnosis (FDD) problem in building energy systems can also be regarded as a pure machine learning problem. The aim of this work is to promote FDD with machine learn...

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Main Authors: Olga Sánchez, María del Mar Barbero-Barrera
Format: Article
Language:English
Published: Universidad Politécnica de Madrid 2024-03-01
Series:Anales de Edificación
Subjects:
Online Access:https://polired.upm.es/index.php/anales_de_edificacion/article/view/5304
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author Olga Sánchez
María del Mar Barbero-Barrera
author_facet Olga Sánchez
María del Mar Barbero-Barrera
author_sort Olga Sánchez
collection DOAJ
description Building monitoring systems deliver large volumes of information and advanced data analysis tools are available. A fault detection and diagnosis (FDD) problem in building energy systems can also be regarded as a pure machine learning problem. The aim of this work is to promote FDD with machine learning applications in building environment. As a contribution, in this work raw time data series, obtained from a SCADA, are processed for further pattern construction of a building thermal facility. The thermal facility supplies the DHW, and heating demands of a residential building, consisting of 26 social dwelling units and located at Durango (northern Spain). Data recorded every 24 hours in cumulative values is included in the R software for computing statistical graphs. For DHW and heating consumption meter values, 229 valid data points are obtained, and the daily consumption ranges are between 1.94 - 5.90 m3 and 0 - 547.63 kWh respectively.
format Article
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institution Kabale University
issn 2444-1309
language English
publishDate 2024-03-01
publisher Universidad Politécnica de Madrid
record_format Article
series Anales de Edificación
spelling doaj-art-ee8e8655fece4d49bee2315c105a4c3e2025-02-05T10:55:15ZengUniversidad Politécnica de MadridAnales de Edificación2444-13092024-03-019111410.20868/ade.2024.53048221Assessment of a methodology to evaluate constructive systems for industrialization: the case of dwellings in Spain.Olga Sánchez0María del Mar Barbero-Barrera1https://orcid.org/0000-0002-4605-3154Universidad Politécnica de MadridUniversidad Politécnica de MadridBuilding monitoring systems deliver large volumes of information and advanced data analysis tools are available. A fault detection and diagnosis (FDD) problem in building energy systems can also be regarded as a pure machine learning problem. The aim of this work is to promote FDD with machine learning applications in building environment. As a contribution, in this work raw time data series, obtained from a SCADA, are processed for further pattern construction of a building thermal facility. The thermal facility supplies the DHW, and heating demands of a residential building, consisting of 26 social dwelling units and located at Durango (northern Spain). Data recorded every 24 hours in cumulative values is included in the R software for computing statistical graphs. For DHW and heating consumption meter values, 229 valid data points are obtained, and the daily consumption ranges are between 1.94 - 5.90 m3 and 0 - 547.63 kWh respectively.https://polired.upm.es/index.php/anales_de_edificacion/article/view/5304fault detection and diagnosis; thermal facilities; machine learning; scada; r software.
spellingShingle Olga Sánchez
María del Mar Barbero-Barrera
Assessment of a methodology to evaluate constructive systems for industrialization: the case of dwellings in Spain.
Anales de Edificación
fault detection and diagnosis; thermal facilities; machine learning; scada; r software.
title Assessment of a methodology to evaluate constructive systems for industrialization: the case of dwellings in Spain.
title_full Assessment of a methodology to evaluate constructive systems for industrialization: the case of dwellings in Spain.
title_fullStr Assessment of a methodology to evaluate constructive systems for industrialization: the case of dwellings in Spain.
title_full_unstemmed Assessment of a methodology to evaluate constructive systems for industrialization: the case of dwellings in Spain.
title_short Assessment of a methodology to evaluate constructive systems for industrialization: the case of dwellings in Spain.
title_sort assessment of a methodology to evaluate constructive systems for industrialization the case of dwellings in spain
topic fault detection and diagnosis; thermal facilities; machine learning; scada; r software.
url https://polired.upm.es/index.php/anales_de_edificacion/article/view/5304
work_keys_str_mv AT olgasanchez assessmentofamethodologytoevaluateconstructivesystemsforindustrializationthecaseofdwellingsinspain
AT mariadelmarbarberobarrera assessmentofamethodologytoevaluateconstructivesystemsforindustrializationthecaseofdwellingsinspain