MATEC Web Conf.
Volume 307, 2020International Conference on Materials & Energy (ICOME’17 and ICOME’18)
|Number of page(s)||6|
|Published online||10 February 2020|
Numerical and experimental investigation on the thermal behaviour of the building integrating occupant thermal comfort
1 ICD-CREIDD, STMR CNRS 6281, University of Technology of Troyes, 12 rue Marie Curie, CS 42060, 10004, Troyes Cedex, France
2 EPF School of Engineering, 2 rue Fernand Sastre, 10430, Rosières-Prés-Troyes, France
* Corresponding author: firstname.lastname@example.org
Simulation tools are widely used to model buildings in order to predict their indoor air quality and energy consumption. The prediction capability of the model is an influential factor in determining the ability of the building to be energy efficient and thermally comfortable. Thus, the validation of the developed models is crucial. In this context, this paper presents a numerical model developed using an object-oriented modelling tool based on the Modelica approach and a case study validation of this model. Then the thermal behaviour of the building and the occupants’ thermal comfort in the considered case study are investigated. The objective is to validate the developed model firstly by comparing predicted results with measured data regarding room temperature and relative humidity, and secondly by comparing the calculated thermal comfort indices (PMV and PPD) based on predicted results and measured data. The results show good agreement between simulations and experiments, with a maximum error in room temperature and relative humidity of 1.7 °C and 4.5%, respectively, and only 1% and 1.5% difference between averaged values of PMV and PPD, respectively.
Key words: PMV / PPD / Object-Oriented approach / Indoor thermal environment / Thermal behaviour / Thermal comfort
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 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.