Identifying key parameters through a sensitivity analysis for realistic hygrothermal simulations at wall level supported by monitored data

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Table (6)
Contents (6)

 name link intern personenkennziffer
0 Simone Panico false 
1 Marco Larcher false 
2 Valentina Marincioni false 
3 Alexandra Troi https://www.hs-coburg.de/personen/prof-dr-alexandra-troi/ true 
4 Cristina Baglivo false 
5 Maria Paolo Congedo false

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	name	link	intern
0	Simone Panico		`false`
1	Marco Larcher		`false`
2	Valentina Marincioni		`false`
3	Alexandra Troi	https://www.hs-coburg.de/personen/prof-dr-alexandra-troi/	`true`
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5	Maria Paolo Congedo		`false`

⇄⧉ titel => string (138) "Identifying key parameters through a sensitivity analysis for realistic hygr... $post['titel']

Identifying key parameters through a sensitivity analysis for realistic hygrothermal simulations at wall level supported by monitored data

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⇄⧉ abstract => string (2105) "<p>The reliability of hygrothermal simulations of building components is key... $post['abstract']

<p>The reliability of hygrothermal simulations of building components is key for designing <a href="https://www.sciencedirect.com/topics/engineering/energy-efficiency-measure" title="Learn more about energy efficiency measures from ScienceDirect's AI-generated Topic Pages" class="topic-link">energy efficiency measures</a>, assessing living comfort, and preventing building damage. The model accuracy is related to the reliability of the selection of input parameters. Due to the high uncertainty, the selection of the input values is challenging. This work aims to calibrate a hygrothermal simulation model exploiting monitored values recorded in a case study located in Settequerce (Italy), to understand how close to reality a numerical model can be. Moreover, a sensitivity analysis, based on the <a href="https://www.sciencedirect.com/topics/engineering/morris-method" title="Learn more about Morris method from ScienceDirect's AI-generated Topic Pages" class="topic-link">Morris method</a> together with a <a href="https://www.sciencedirect.com/topics/engineering/latin-hypercube-sampling" title="Learn more about Latin Hypercube sampling from ScienceDirect's AI-generated Topic Pages" class="topic-link">Latin Hypercube sampling</a>, is applied to identify the input parameters that affect most significantly the simulation. The results of the calibration indicated that is possible to obtain reliable outputs by appropriately selecting materials within the database. The sensitivity analysis showed that the relative humidity under the insulation is largely influenced by the water vapor diffusion resistance factor of the <a href="https://www.sciencedirect.com/topics/engineering/plaster" title="Learn more about plaster from ScienceDirect's AI-generated Topic Pages" class="topic-link">plaster</a>, applied during the renovation phase both on the internal and external side. Among the coefficients describing the coupling with the boundary conditions, only the external convective heat coefficient and the coefficient of short-wave solar radiation influence slightly the objective function.</p>

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Panico, Simone; Larcher, Marco; Marincioni, Valentina; Troi, Alexandra; Baglivo, Cristina; Congedo, Maria Paolo (2023): Identifying key parameters through a sensitivity analysis for realistic hygrothermal simulations at wall level supported by monitored data. Building and Environment, 229, 109969 2023, 109969. DOI: 10.3390/buildings12081258

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https://www.hs-coburg.de/publikation/4170-identifying-key-parameters-through-a-sensitivity-analysis-for-realistic-hygrothermal-simulations-at-wall-level-supported-by-monitored-data/

The website of Coburg University of Applied Sciences was translated using translation software provided by a third-party provider such as DeepL. The official text is the German version of the website. No liability is assumed, either explicitly or implicitly, for the accuracy, reliability, or correctness of the translations into another language.

Identifying key parameters through a sensitivity analysis for realistic hygrothermal simulations at wall level supported by monitored data

The reliability of hygrothermal simulations of building components is key for designing energy efficiency measures, assessing living comfort, and preventing building damage. The model accuracy is related to the reliability of the selection of input parameters. Due to the high uncertainty, the selection of the input values is challenging. This work aims to calibrate a hygrothermal simulation model exploiting monitored values recorded in a case study located in Settequerce (Italy), to understand how close to reality a numerical model can be. Moreover, a sensitivity analysis, based on the Morris method together with a Latin Hypercube sampling, is applied to identify the input parameters that affect most significantly the simulation. The results of the calibration indicated that is possible to obtain reliable outputs by appropriately selecting materials within the database. The sensitivity analysis showed that the relative humidity under the insulation is largely influenced by the water vapor diffusion resistance factor of the plaster, applied during the renovation phase both on the internal and external side. Among the coefficients describing the coupling with the boundary conditions, only the external convective heat coefficient and the coefficient of short-wave solar radiation influence slightly the objective function.

Titel:

Identifying key parameters through a sensitivity analysis for realistic hygrothermal simulations at wall level supported by monitored data

Veröffentlichungsdatum:

01.02.2023

Publikationsart:

Zeitschriftenbeiträge

Forschungsschwerpunkt:

Medien:

Building and Environment, 229, 109969

DOI:

https://doi.org/10.3390/buildings12081258

Weblink:

https://doi.org/10.1016/j.buildenv.2022.109969

Heft:

Band:

2023

Artikelnummer:

109969

ISBN:

Autoren:

Simone Panico, Marco Larcher, Valentina Marincioni, Alexandra Troi, Cristina Baglivo, Maria Paolo Congedo

Medien:

Building and Environment, 229, 109969

Herausgeber:

Elsevier

Seiten:

Open Access:

Peer reviewed:

Zitierung:

Panico, Simone; Larcher, Marco; Marincioni, Valentina; Troi, Alexandra; Baglivo, Cristina; Congedo, Maria Paolo (2023): Identifying key parameters through a sensitivity analysis for realistic hygrothermal simulations at wall level supported by monitored data. Building and Environment, 229, 109969 2023, 109969. DOI: 10.3390/buildings12081258

Autoren:

Simone Panico, Marco Larcher, Valentina Marincioni, Alexandra Troi, Cristina Baglivo, Maria Paolo Congedo

Identifying key parameters through a sensitivity analysis for realistic hygrothermal simulations at wall level supported by monitored data

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