Evidence map›Paper›PMID 37539098›Full record

ArticleHeliyon2023

Studying the impacts of test condition and nonoptimal positioning of the sensors on the accuracy of the in-situ U-value measurement.

Behnam Mobaraki, Francisco Javier Castilla Pascual, Arturo Martínez García, Miguel Ángel Mellado Mascaraque, Borja Frutos Vázquez, Carmen Alonso

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Survey of Time Series Data Generation in IoT.Sensors (Basel, Switzerland) · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Behnam MobarakiDepartment of Civil and Building Engineering, Universidad de Castilla-La Mancha (UCLM), Av. Camilo Jose Cela s/n, 13071, Ciudad Real, Spain.
Francisco Javier Castilla PascualDepartment of Applied Mechanics and Project Engineering, Universidad de Castilla-La Mancha (UCLM), Escuela Técnica Superior de Ingenieros Industriales, 02071, Albacete, Spain.
Arturo Martínez GarcíaInstituto de Ciencias de la Construcción Eduardo Torroja. Consejo Superior de Investigaciones Científicas (IETcc-CSIC), Serrano Galvache 4, 28033, Madrid, Spain.
Miguel Ángel Mellado MascaraqueDepartment of Civil and Building Engineering, Universidad de Castilla-La Mancha (UCLM), Escuela Politécnica de Cuenca, Campus Universitario, 16071, Cuenca, Spain.
Borja Frutos VázquezInstituto de Ciencias de la Construcción Eduardo Torroja. Consejo Superior de Investigaciones Científicas (IETcc-CSIC), Serrano Galvache 4, 28033, Madrid, Spain.
Carmen AlonsoInstituto de Ciencias de la Construcción Eduardo Torroja. Consejo Superior de Investigaciones Científicas (IETcc-CSIC), Serrano Galvache 4, 28033, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The non-destructive thermal characterization of building envelopes relies significantly on various factors such as climate conditions, monitoring devices used, indoor environment, and conditioning systems. In the case of both the temperature-based method (TBM) and heat flux meter (HFM) approaches, U-value is determined considering the ideal condition of steady state. However, it is challenging to accurately define the true thermal condition of buildings when monitoring is affected by inherent uncertainties of the chosen approach and inadequate instrumentation of building envelopes. This paper presents the outcomes of an experimental campaign, that aimed to evaluate the impact of incorrectly positioned exterior sensors, on the precision of U-value measurements. This study simultaneously employed the TBM and HFM approaches. To enhance the accuracy of the results, rigorous outlier detection and statistical analysis were employed on the data collected from three autonomous monitoring systems. The findings of this study revealed that the applied data analysis yielded more satisfactory results for the TBM approach compared to HFM. However, regardless of the approach used, the effectiveness of outlier detection relied heavily on the accuracy of the monitoring systems. When removing an individual outlier, the monitoring systems characterized with higher accuracies provided U-values that were closer to the theoretical values, than less accurate ones.

Indexed as

Building thermal monitoringEnergy efficiencyHEATHeat flux meter methodTemperature-based methodThermal transmittance parameter

Identifiers

PMID37539098
PMCPMC10394917

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.