AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Building Simulation Article
Article Link
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article

Hygrothermal behavior modeling of the hygroscopic envelopes of buildings: A dynamic co-simulation approach

Mohammed Yacine Ferroukhi1( ), Rabah Djedjig2, Karim Limam1, Rafik Belarbi1
LaSIE, UMR 7356 CNRS-La Rochelle University, Avenue Michel Crépeau, 17000 La Rochelle, France
LERMAB, Lorraine University, Institut universitaire de technologie Henri Poincaré de Longwy, 186 rue de Lorraine, 54400 Cosnes-et-Romain, France
Show Author Information

Abstract

High levels of humidity in buildings lead to building pathologies. Moisture also has an impact on the indoor air quality and the hygrothermal comfort of the building’s occupants. To better assess these pathologies, it is necessary to take into account the heat and moisture transfer between the building envelope and its indoor ambience. In this work, a new methodology was developed to predict the overall behavior of buildings, which combines two simulation tools: COMSOL Multiphysics© and TRNSYS. The first software is used for the modeling of heat, air and moisture transfer in multilayer porous walls (HAM model: Heat, Air and Moisture transfer), and the second is used to simulate the hygrothermal behavior of the building (BES model: Building Energy Simulation). The combined software applications dynamically solve the mass and energy conservation equations of the two physical models. The HAM-BES coupling efficiency was verified. In this paper, the use of a coupled (HAM-BES) co-simulation for the prediction of the hygrothermal behavior of building envelopes is discussed. Furthermore, the effect of the 2D HAM modeling on relative humidity variations within the building ambience is shown. The results confirm the importance of the HAM modeling in the envelope on the hygrothermal behavior and energy demand of buildings.

Keywords

energy consumptiondynamic simulationhygrothermal modelingHAM-BES couplingCOMSOL-TRNSYS co-simulationhygrothermal behavior

References

 
T Bednar, C Hagentoft (2005). Analytical solution for moisture buffering effect validation exercises for simulation tools. In: Proceedings of 7th Nordic Building Physics Symposium, Reykjavik, Iceland.
 
R Belarbi, M Qin, A Ait mokhtar, LO Nilsson (2008). Experimental and theoretical investigation of non-isothermal transfer in hygroscopic building materials. Building and Environment, 43: 2154-2162.
Crossref Google Scholar
 
J Berger, S Rouchier, S Tasca-Guernouti, M Woloszyn, C Buhe (2013). On the integration of hygrothermal bridges into whole building and HAM modeling. In: Proceedings of International IBPSA Building Simulation Conference, Chambery, France.
 
J Clarke (2001). Energy Simulation in Building Design, Oxford, UK: Butterworth-Heinemann.
 
J Clarke (2013). Moisture flow modelling within the ESP-r integrated building performance simulation system. Journal of Building Performance Simulation, 6: 385-399.
Crossref Google Scholar
 
COMSOL (2012). Comsol Multiphysics User's Guide. Available at http://www.comsol.com.
 
D Cóstola, B Blocken, J Hensen (2009). External coupling between BES and HAM programs for whole-building simulation. In: Proceeding of International IBPSA Building Simulation Conference, Glasgow, UK, pp. 316-323.
 
R Djedjig, E Bozonnet, R Belarbi (2015). Analysis of thermal effects of vegetated envelopes: Integration of a validated model in a building energy simulation program. Energy and Buildings, 86: 93-103.
Crossref Google Scholar
 
R Djedjig, SE Ouldboukhitine, R Belarbi, E Bozonnet (2012). Development and validation of a coupled heat and mass transfer model for green roofs. International Communication of Heat and Mass Transfer, 39: 752-761.
Crossref Google Scholar
 
EN ISO 10211 (2007). Thermal Bridges in Building Construction: Linear Thermal Transmittance. Numerical Method.
 
MY Ferroukhi, K Abahri, R Belarbi, K Limam, A Nouvier (2015). Experimental validation of coupled heat, air and moisture transfer modeling in multilayer building components. Heat and Mass Transfer, doi: .
Crossref Google Scholar
 
H Janssen (2011). Thermal diffusion of water vapour in porous materials: Fact or fiction? International Journal of Heat and Mass Transfer, 54: 1548-1562.
Crossref Google Scholar
 
H Janssen, B Blocken, J Carmeliet (2007). Conservative modelling of the moisture and heat transfer in building components under atmospheric excitation. Heat and Mass Transfer, 50: 1128-1140.
Crossref Google Scholar
 
SA Klein, WA Beckmann, JW Mitchell, JA Duffie, NA Duffie, TA Freeman, JC Mitchell, JE Braun, BL Evans, JP Kummer, et al. (2010). TRNSYS 17: a TRaNsient SYstem Simulation program, Vol. 3: Standard Component Library Overview. Solar Energy Laboratory, University of Wisconsin-Madison.
 
L Kristin (2006). International Energy Agency, Annex 41-Substask 1, Common Exercise 3.
 
AV Luikov (1966). Heat and Mass Transfer in Capillary Porous Bodies. London: Pergamon Press.
Crossref
 
A Nicolai, JS Zhang, J Grunewald (2007). Coupling strategies for combined simulation using multizone and building envelope models. In: Proceedings of International IBPSA Building Simulation Conference, Beijing, China.
 
LO Nilsson (2003). Moisture mechanics in building materials and building components. PhD Thesis, Lund Institute of Technology, Sweden.
 
Official Journal of the European Union (2010). Directive 2010/31/EU of the European Parliament and of the Council of 19 May 2010 on the Energy Performance of Buildings.
 
R Peuhkuri, C Rode, (2004). Common Exercise 1—Case 0A and 0B Revised, IEA, Annex 41, Task 1, Modeling Common Exercise.
 
M Qin, R Belarbi, A Aït-Mokhtar, LO Nilsson (2009). Coupled heat and moisture transfer in multi-layer building materials. Construction and Building Materials, 23: 967-975.
Crossref Google Scholar
 
B Remki, K Abahri, M Tahlaiti, R Belarbi (2012). Hygrothermal transfer in wood drying under the atmospheric pressure gradient. International Journal of Thermal Sciences, 57: 135-141.
Crossref Google Scholar
 
C Spitz, M Woloszyn, C Buhe, M Labat (2013). Simulating combined heat and moisture transfer with EnergyPlus: An uncertainty study and comparison with experimental data. In: Proceedings of International IBPSA Building Simulation Conference, Chambery, France.
 
M Steeman, A Janssens, HJ Steeman, M Van Belleghem, M De Paepe (2010). On coupling 1D non-isothermal heat and mass transfer in porous materials with a multizone building energy simulation model. Building and. Environment, 45: 865-877.
Crossref Google Scholar
 
F Tariku, K Kumaran, P Fazio (2010). Integrated analysis of whole building heat, air and moisture transfer. International Journal of Heat and Mass Transfer, 53: 3111-3120.
Crossref Google Scholar
 
A Van Schijndel (2009). Integrated modeling of dynamic heat, air and moisture processes in buildings and systems using SimuLink and COMSOL. Building Simulation, 2: 143-155.
Crossref Google Scholar
 
M Woloszyn, R Carsten (2007). IEA Annex 41, MOIST-ENG Subtask 1, Modelling Principles and Common Exercises, Final Report.
Building Simulation
Volume 9 Issue 5,
October 2016
Pages 501-512
DOI: 10.1007/s12273-016-0292-5
Cite this article:
Ferroukhi MY, Djedjig R, Limam K, et al. Hygrothermal behavior modeling of the hygroscopic envelopes of buildings: A dynamic co-simulation approach. Building Simulation, 2016, 9(5): 501-512. https://doi.org/10.1007/s12273-016-0292-5

586

Views

26

Crossref

N/A

Web of Science

28

Scopus

2

CSCD

Altmetrics
Received: 16 December 2015
Revised: 05 April 2016
Accepted: 06 April 2016
Published: 03 May 2016
© Tsinghua University Press and Springer-Verlag Berlin Heidelberg 2016
Return