E3S Web Conf.
Volume 49, 2018SOLINA 2018 - VII Conference SOLINA Sustainable Development: Architecture - Building Construction - Environmental Engineering and Protection Innovative Energy-Efficient Technologies - Utilization of Renewable Energy Sources
|Number of page(s)||11|
|Published online||13 August 2018|
A tool to estimate indoor temperature in buildings with a risk of overheating in the temperate European climate zone
Inst. of Civil Engine., Warsaw University of Technology, Łukasiewicza 17, 09-400 Plock, Poland
* Corresponding author: firstname.lastname@example.org
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.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.