2018
DOI: 10.1016/j.energy.2018.01.156
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Volume element model for 3D dynamic building thermal modeling and simulation

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Cited by 18 publications
(7 citation statements)
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“…Besides the limitation of external conditions, there is a limitation that is caused by the data source itself. Nowadays, it is quite common that local authorities have access to digital terrain models, including a detailed information about the roof geometry [52,53]. However, not all urban 3D models contain information on greenery.…”
Section: Discussionmentioning
confidence: 99%
“…Besides the limitation of external conditions, there is a limitation that is caused by the data source itself. Nowadays, it is quite common that local authorities have access to digital terrain models, including a detailed information about the roof geometry [52,53]. However, not all urban 3D models contain information on greenery.…”
Section: Discussionmentioning
confidence: 99%
“…Numerous studies have been devoted to the problem of energy conservation in building engineering. For example, energy-saving issues of heating the buildings are discussed in [1][2][3][4][5][6][7][8][9]. One of the main ways to reduce heat losses in heating the buildings implies raising RSI-value of building envelope.…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
“…As a result, the calculation becomes impossible for air interlayers of building envelope where there is air motion. The authors of [8] use the finite volume method to calculate the thermal state of not just the building envelope but the entire building as well. To estimate heat flux through a multilayer building envelope, authors of [9] solved the non-stationary heat conduction problem taking into account diurnal variations of outdoor temperature and insolation.…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
“…Nevertheless, despite their simplicity, lumped model approaches do not allow one to obtain details about the building surfaces temperatures, necessary for simulating the frequent rapid variation of the thermal conditions occurring in buildings as well as for indoor comfort analyses [95]. If the flow field and the spatial domain to be discretized are a priori known, thermal network-based models could be preferable than more computationally expensive and complex building thermal ones [96]. For this reason, suitable detailed mathematical algorithms/models based on the thermal network approach have become more and more developed and are used to predict the whole building thermodynamic behavior and for analyzing the energy performance of building-plant systems [28,[97][98][99].…”
Section: Description Of the Framework And General Considerationmentioning
confidence: 99%