ECMS 2011 Proceedings Edited By: T. Burczynski, J. Kolodziej, A. Byrski, M. Carvalho 2011
DOI: 10.7148/2011-0244-0248
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Modelling Of Heat Transfer In Buildings

Abstract: The main idea of this article is taking advantage of heat energy accumulation in building walls in order to design more effective heating system. Essential article goal is to simulate thermal construction responses in dependence on changing boundary conditions. Model geometry has been developed in virtual design studio CATIA and implemented in numerical simulation software COMSOL Multiphysics, with the intention to predict environmental temperature precisely. A threedimensional finite element model of laborato… Show more

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Cited by 11 publications
(8 citation statements)
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“…In 2006 it was found, surprisingly, that the same holds for condensin. The main function of condensin seems to be the stabilization of the mitotic chromosome during telophase [57].…”
Section: Scaffoldmentioning
confidence: 99%
“…In 2006 it was found, surprisingly, that the same holds for condensin. The main function of condensin seems to be the stabilization of the mitotic chromosome during telophase [57].…”
Section: Scaffoldmentioning
confidence: 99%
“…The thermo-physical properties are considered as constant and are given in Table 1 below: The model of the building in Comsol software after the first simulation is as follows in . The usage of this program for similar problems, namely transient heat transfer can be found in [23]. The heat transfer is described by conduction, convection, and radiation with the heat transfer module and laminar flow module of air circulation.…”
Section: Methodsmentioning
confidence: 99%
“…Tandem mass (MS/MS) spectra are gas-phase molecular properties, less susceptible to the chemical interactions and artifacts that can affect retention time stabilities in GC and LC, and have good reproducibility between laboratories. MS/MS spectra for small molecules can be predicted with reasonable accuracy given appropriate training data, [31][32][33][34][35] enabling the generation of short lists of molecules whose MS/MS spectra might match to experimental spectra. However, most MS/MS prediction methods rely on machine learning or deep learning approaches, and therefore, they can be limited by the size of the training data sets.…”
Section: Graphical Abstractmentioning
confidence: 99%