Abstract

A very large number of buildings in developing countries are far from complying with the standards of housing. This paper presents the subjective study of the thermal comfort of a building that does not comply with construction standards or thermal regulations, located in Madagascar. Modeling was done using the Modelica tool, especially its BuildSysPro library. In order to minimize the inaccuracies, a step of an experimental adjustment of the developed numerical model was also carried out usingexperimental reference data that were obtained from the temperaturemeasurementsof the studied building elements as well as the wind speed and the received solar radiation flux. It was found that despite the obvious non-compliance with building standards and thermal regulations, the building has an acceptable thermal environment vis-à-vis its occupant.

Highlights

  • Dynamic modeling of buildings is currently gaining importance in the field of research and has become a dominant, attractive subject treated by many authors [1,2,3,4,5,6,7,8,9,10,11]

  • Several research works have been undertaken to contribute to the validation of this code; the authors are interested in its global validation, including the verification phase, by inter-software comparison using the BESTEST procedure [14], the experimental validation phase

  • The origin of the differences is assumed to come from the modeling hypothesis applied to the Modelica tool, the lack of accuracy of some simulation parameters as well as the uncertainties of the experimental measurements

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Summary

Introduction

Dynamic modeling of buildings is currently gaining importance in the field of research and has become a dominant, attractive subject treated by many authors [1,2,3,4,5,6,7,8,9,10,11]. CodyMa [13], which is a calculation code for thermal, aerodynamic and moisture simulation of multi-zone buildings, has a multi-model reception structure, allowing different levels of finesse. CoDyBa is defined as a tool for calculating building heating and cooling consumption and is optimized for a limited number of thermal zones [15, 16]. It does not propose a model of ventilation with heat recovery [17]. The modular architecture computing core uses the modal reduction of the physical problem, making it very fast

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