Abstract
It is well known that people spend about 90% of their lifetime in buildings where the indoor environment strongly influences their health and productivity. Therefore it is crucial to maintain proper internal conditions, and thus ensure comfort environment for building users. Due to the nature and complexity the thermal comfort is difficult to describe with physical parameters. However there is a number of available methods to assess the indoor conditions and define the comfort level - from simplified methods based on the measurement of basic parameters to complex approach – with the use of computational fluid dynamics engineering tools. The paper presents the outcome of the thermal comfort study for a naturally ventilated office located in Wroclaw (Poland). The chosen physical parameters has been registered in long- and short-term perspective, and later used for defining the boundary conditions and CFD model validation.
Highlights
People spend most of their time indoors
There is a certain number of methods to estimate the thermal comfort in rooms – from simplified, based on the variability of one parameter to complex approaches – based on the relationship between environmental and personal factors or implementation of numerical tools
The paper focuses on estimating comfort conditions in naturally ventilated office located in Wroclaw (Poland)
Summary
People spend most of their time indoors. The building is a shelter from external conditions, so the interior has to be safe and comfortable for its users. The applied method is based on an approach described in standard EN 15251 [3] It assumes that in naturally ventilated buildings working in freerunning mode human body easier adapts to the surrounding due to his/her thermoregulation system. It is applicable for free-running buildings as well as periodically heated, cooled and running under a mixing mode, and is based on a theoretical value – an operative temperature. The literature [14] indicates that in well-insulated buildings, where the influence of exterior is small, the difference between air, mean radiant and operative temperature is negligible To check this theory the relationship between these parameters is investigated and the statistical methods are applied. These are not under the interest of this paper
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
