This paper presents the energy savings thatcould be obtained by the appropriate design ofthe building in terms of morphology, thermalinertia and glazed area. Based on an extendeddatabase of values obtained by simulations, thisparametric study gives a new approach for thearchitects or design engineers as supportguidelines in the very first stage of their projectsin finding efficiently energetic solutions.One of the analyzed parameters is the buildingshape coefficient which is defined as the ratiobetween the volume of a built form and itsexternal heating losses area.
In this paper, different types of local housings have been classified (housing with two facades, housing with two facades in angle or in corner, housing with facade and interior patios, housing with an only facade, embedded housings, in several heights) with the aim of defining the natural ventilation's parameters for them. Then simulations can be made with the selected types along with the validation of results.
This study aims to introduce a methodology which enables to revise the limit values of overallheat transfer coefficient in accordance with the building form from thermal comfort andenergy conservation point of view.In order to prevent excess heat loss, building should be designed as passive heating system.Overall heat transfer coefficient (U-value) of building envelope and building form can beconsidered as the most important parameters of the passive heating system. Therefore, U-valueof building envelope should be determined depending on building form.
The wind approaching a building provided with openings has to make a choice; i.e. either to flow around the building or to flow through the openings. This selection procedure is dependent on both the external structure (shape) of the building and on its internal structure. In this paper the parameters controlling this selection procedure are explored. In order to clarify the basic process, simplified building models have been studied with a combination of wind tunnel studies, visualisation and CFD predictions.
Existing models for predicting air infiltration account for three dominant variables, namely envelope leakage characteristics, indoor-outdoor temperature difference and wind speed. Building shape, wind direction and sheltering, also influence the wind induced component of air infiltration. In this report, these variables are examined analytically and experimentally using wind tunnel data and field infiltration measurements. A sensitivity analysis of a power law infiltration relationship reveals that these factors are most significant at small temperature differences.