Abstract
A regression model is proposed, as a simple tool, for estimating indoor temperature in thermally insulated buildings, applicable to situations when only natural ventilation in midsummer is concerned. Knowledge of this temperature, at a primary stage of a design process, might help avoiding the risk of overheating during summertime. The proposed regression model is applicable for buildings located in the temperate European climate zone. To create the regression model, the values of indoor temperature are calculated for incrementally increasing thermal resistance of outside walls, and gradual enlargement of windows. The outside partitions were covered with an insulating material with a thickness of 3 to 30 cm. For every insulation layer the window surface to wall surface ratio (wwr) was changing from 5% to 50%. The wwr changes were applied to a selected window, facing east, south and west in turn while wwr for the remaining orientations was kept at a constant value 1/10 of the wall. The considered building is representative for a single family house located at an open space. The algorithm of computations was based on the finite differences method, where feedback between the thermal model and the airflow model was applied.
Highlights
The buildings with envelope’s that have high thermal resistance equipped with natural ventilation can create an overheating risk during hot weather periods, even in the European temperature climate
The main cause was a thermal environment created by air-tight buildings characterized by high thermal resistance of opaque elements and their lack of ability to accumulate intensive amounts of solar energy
The regression model characterized in this paper, offers a simple solution which might help to anticipate high indoor temperatures during hot summertime
Summary
The buildings with envelope’s that have high thermal resistance equipped with natural ventilation can create an overheating risk during hot weather periods, even in the European temperature climate. Certain interventions are proposed to adapt existing dwellings to changed weather parameters These numerous adaptations may involve for example: glazing systems, solar control, ventilation or thermal insulation, etc [1, 8,9,10,11,12, 15, 18]. Estimation of building’s parameters such as indoor temperatures or ventilation air flows at the initial stage of the designing process, will allow adapting them to present weather parameters and changing climate. In the paper the regression model is proposed as a simple tool for estimating minimum and maximum temperature in buildings, where the surface of windows of the chosen orientation is being enlarged, while external walls are covered with an insulation layer 3 to 30 cm thick
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