A tool to estimate indoor temperature in buildings with a risk of overheating in the temperate European climate zone

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...

Full description

Bibliographic Details
Main Author: Bzowska Dorota
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:E3S Web of Conferences
Online Access:https://doi.org/10.1051/e3sconf/20184900011
id doaj-da0e57f3bcb04b708f26f7aeb7790463
record_format Article
spelling doaj-da0e57f3bcb04b708f26f7aeb77904632021-02-02T01:49:06ZengEDP SciencesE3S Web of Conferences2267-12422018-01-01490001110.1051/e3sconf/20184900011e3sconf_solina2018_00011A tool to estimate indoor temperature in buildings with a risk of overheating in the temperate European climate zoneBzowska DorotaA 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.https://doi.org/10.1051/e3sconf/20184900011
collection DOAJ
language English
format Article
sources DOAJ
author Bzowska Dorota
spellingShingle Bzowska Dorota
A tool to estimate indoor temperature in buildings with a risk of overheating in the temperate European climate zone
E3S Web of Conferences
author_facet Bzowska Dorota
author_sort Bzowska Dorota
title A tool to estimate indoor temperature in buildings with a risk of overheating in the temperate European climate zone
title_short A tool to estimate indoor temperature in buildings with a risk of overheating in the temperate European climate zone
title_full A tool to estimate indoor temperature in buildings with a risk of overheating in the temperate European climate zone
title_fullStr A tool to estimate indoor temperature in buildings with a risk of overheating in the temperate European climate zone
title_full_unstemmed A tool to estimate indoor temperature in buildings with a risk of overheating in the temperate European climate zone
title_sort tool to estimate indoor temperature in buildings with a risk of overheating in the temperate european climate zone
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2018-01-01
description 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.
url https://doi.org/10.1051/e3sconf/20184900011
work_keys_str_mv AT bzowskadorota atooltoestimateindoortemperatureinbuildingswithariskofoverheatinginthetemperateeuropeanclimatezone
AT bzowskadorota tooltoestimateindoortemperatureinbuildingswithariskofoverheatinginthetemperateeuropeanclimatezone
_version_ 1724311011560783872