This paper discusses the use of a building thermal analysis methodology in which the stochastic nature of the external climates and randomness of physical parameters are considered. Methods of thermal calculation which give the density function of the room air temperature and heating and/or cooling loads are proposed. Weather data is modeled by linear time series models with white noises as inputs, which take into account the auto-correlations and cross-correlations of the raw climatic data.
There is a worldwide trend to reuse an old building to renovate the historical district forsustainable development. Because of the different construction type and materials, the historical building should be proposed the reuse process via the different strategies. On the other hand, the historical buildings should also provide the healthy indoor environment. A preliminary study already described the methodology of the indoor environment assessment on existing buildings and intends to draft indoorenvironment indicators [1].
It is well known that iterative solution processes can lead to divergence when dealing with coupled airflow and thermal analyses for buildings ventilated either naturally or by a mixed-mode system. The Newton-Raphson method or its variants are used in almost all existing multi-zone airflow models. This paper discusses the qualitative features of the iterative solution processes of the Newton-Raphson method when used for coupled thermal and ventilation analyses of a simple one-zone building with two openings.
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