Reduced linear state model of hollow blocks walls, validation using hot box measurements

Energy and Buildings

Volumn 36, Issue 11, 2004, Pages 1107-1115

  Gao, Y ^a,b   Roux, J J ^b   Teodosiu, C ^b   Zhao, L H ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b UNIVERSITÉ DE LYON   (France)

Author keywords

Experimental validation; Hollow blocks numerical model; Model reduction

Indexed keywords

BRICK; BUILDING CODES; BUILDINGS; COMPUTER SIMULATION; ENVIRONMENTAL ENGINEERING; HEAT TRANSFER; MATHEMATICAL MODELS; MATRIX ALGEBRA; THERMAL EFFECTS;

EXPERIMENTAL VALIDATION; HOLLOW BLOCKS NUMERICAL MODELS; MODEL REDUCTION; THERMAL TRANSMITTANCE;

WALLS (STRUCTURAL PARTITIONS);

EID: 4344716399     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2004.03.008     Document Type: Article

References (30)

1. Rao K.R., Chandra P. A study of thermal performance of concrete hollow blocks by an electrical analogue method. Building Science. 5(1):1970;31-40.
2. Loudon A.G. The thermal properties of lightweight concretes. International Journal of Cement Composites and Lightweight Concrete. 1(2):1979;71-85.
3. Abdelbaki A., Zrikem Z. Numerical simulation of the coupled heat transfer through building walls consisting of hollow tiles. International Journal of Thermal Science. 38:1999;719-730.
4. Dingyi Y., Wei S., Zhiyong L., Keren Z. Research on improving the heat insulation and preservation properties of small-size concrete hollow blocks. Cement and Concrete Research. 33:2003;1357-1361.
5. B. Lacarrière, Etude numérique et expérimentale des échanges thermiques en cavités partitionnées: application aux transferts instationnaires dans les briques à perforations verticales, Ph.D. dissertation, Paul Sabatier University (Toulouse III), Toulouse, France, 2003.
6. Wakili K.G., Tanner C. U-value of a dried wall made of perforated porous clay bricks. Hot box measurements versus numerical analysis. Energy and Buildings. 35:2003;675-680.
7. EN ISO 8990, Thermal insulation: determination of steady-state thermal transmission properties, calibrated and guarded hot box.
8. EN 1934, Thermal performance of building: determination of thermal resistance by hot box method using heat flow meter, Masonry.
9. EN 1745, Masonry and products: methods for determining design thermal values.
10. Réglementation Thermique 2000, CSTB (Centre Scientifique et Technique du Bâtiment), Paris, France, 2000.
11. DOE-2 Reference Manual, Parts 1 and 2, US Department of Commerce, National Technical Information Services, Washington, DC, USA, 1985.
12. TRNSYS, A Transient System Simulation Program, Solar Energy Laboratory, University of Wisconsin-Madison, USA, 1994.
13. J. Brau, A. Duta, J. Noël, J.J. Roux, CODYBA - V6.0: nouvelle version du code de calcul du COmportement DYnamique des Bâtiments, in: Proceedings of CISBAT'99 Conference, Lausanne, Switzerland, 1999, pp. 429-432.
14. D. Petit. Réduction de modèles de connaissance et identification de modèles d'ordre réduit, Ph.D. dissertation, Université de Provence (Aix-Marseille I), France, 1991.
15. Palomo Del Barrio E., Lefebvre G., Behar P., Bailly N. Using model size reduction techniques for thermal control applications in buildings. Energy and Buildings. 33:2000;1-14.
16. Marshall S.A. An approximate method for reducing the order of a linear system. Control. 10:1966;642-643.
17. Aoki M. Control of large-scale dynamic system by aggregation. IEEE Transactions and Controls. 13(3):1968;246-253.
18. G.P. Michaïlesco, Approximation des systèmes complexes par des modèles de dimension réduite, Ph.D. dissertation, Centre d'Orsay, Paris-Sud University, France, 1979.
19. A. Oulefki, Réduction de modèles thermiques par amalgame modal, Ph.D. dissertation, Ecole des Mines de Paris, France, 1993.
20. Moore B.C. Principal component analysis in linear systems: controllability, observability, and model reduction. IEEE Transactions on Automatic Control. 26(1):1981;17-32.
21. C. Ménézo, Contribution à la modélisation du comportement thermique des bâtiments par couplage de modèles réduits, Ph.D. dissertation, INSA de Lyon, France, 1999.
22. 8-error bounds. International Journal of Control. 3(6):1984;1115-1193.
23. Déqué F., Ollivier F., Roux J.J. Effect of 2D modelling of thermal bridges on the energy performance of buidings. Numerical application on the Matisse apartment. Energy and Buildings. 33(6):2001;583-587.
24. Déqué F., Ollivier F., Poblador A. Grey boxes used to represent buildings with a minimum number of geometric and thermal parameters. Energy and Buildings. 31:2000;29-35.
25. E. Palomo, Y. Bonnefous, F. Déqué, Guidance for the selection of a reduction technique for thermal models, in: Proceedings of Building Simulation '97 Conference, Prague, Czech Republic, 1997, pp. 17-24.
26. R. Yezou, J. Breton, G. Achard, Comportement thermique dynamique de parois. Facteurs de réponse, Report ATP PIRSEM/SPI 8201, CETHIL, Lyon, France, 1985.
27. J. Virgone, J. Noel, Archicube et Codymur, logiciels de simulation des ponts thermiques et du comportement thermique d'une paroi en régime variable, in: Proceedings of 6th Colloque Interuniversitaire Franco-Québécois, Quebec, Canada, 2003, pp. 1-6.
28. EN ISO 6946, Building components and building elements: thermal resistance and thermal transmittance, Calculation method.
29. B. Gebhart, Y. Jaluria, R.L. Mahajan, B. Sammakia, Buyoncy-induced flows and transport, Hemisphere Publishing Co., New York, NY, USA, 1988.
30. T. Blomberg, HEAT 3: A PC Program for Heat Transfer in Three Dimensions. Manual with Brief Theory and Examples, Lund University, Sweden, 1998.