model

This study presents a critical analysis of assessment of ventilation systems effectiveness in terms of contaminant removal. For this purpose, experimental measurements are carried in a room of an experimental house called MARIA. Various ventilation scenarios are handled. The ventilated room is also equipped with a pine wood floor which emits several Volatile Organic Compounds which are considered as air pollutants here. Thereafter, based on boundary conditions given by measurements, Computational Fluid Dynamics (CFD) simulations are performed.

In this study the concept of ‘adaptive behaviour’ is extended to look at the effects of personal adjustments and regulator control changes provided in offices. It is evident from experience as described in the adaptive approach, that clothing can play an

In this paper the complaint prediction model developed by Federspiel in 2000 is evaluated and recalibrated. Temperature time-series data and complaint data were collected from different size buildings from different geographical areas. Results are presented.

Thanks to an uncertainty analysis, the demonstration has been made that the APT method can, over a wide range of conditions, outperform a pitot tube, but can't do it when the damper is nearly open. Tests have confirmed the results of the uncertainty analysis.

This paper presents a numerical method to estimate the concentration of occupant-generated C02 for the occupancy found in elementary school classrooms with nonforced ventilation.

The mathematical model described in this paper relates position, velocity and aerodynamic Torque characteristics of air dampers. That model has been has been developed and tested experimentally : the results demonstrate its accuracy.

A framework and computer code has been developed in that study for coupling building energy and load calculations with room air models.

This paper describes the evaluation and recalibration of the complaint prediction model developed by Federspiel (2000). We collected temperature time-series data and complaint data from six buildings ranging in size from 60,000 ft2 to 800,000 ft2 from three different geographical locations. Using these data, we found a low correlation between the observed number of complaint events and the Predicted Average Complaint Events (PACE) for the monitoring intervals and systematic underprediction of hot complaints.

The aim of this paper is to give an overview of the work carried out during three years with URBVENT project and to present its main issues: - to provide methodologies and accompanying software tools to assess the potential and feasibility of natural ventilation - to design optimal openings for efficient naturally ventilated buildings.The different partners of this project are: five European University laboratories, two technical centers and one industrial company.

Three software tools CODYBA (version 6.3), XCUBE and CODYMUR are presented in this paper : - CODYBA for the study of the thermal behaviour of a multizone building with an example of simulation of a building in Seville - XCube for the study of 3D thermal bridges coefficients of the building with examples of application- CODYMUR, for the survey of the thermal behaviour of a partition; that tool makes the inertia phenomenom quickly understood.