model

This paper gives the description of a four-factor simulation design and a statistical procedure for analyzing material VOC time sensitivities with regard to the following parameter variations : VOC diffusion coefficient, VOC partition coefficient, material thickness, surface air velocity, along with their interaction effects.

This paper describes a numerical model that takes into account the indoor air moisture and its transport by the airflow, within an enclosure. That model is a potential useful tool for correctly estimating the indoor environment in steady and homogeneous thermal conditions.

Through the body is thermally neutral, it does not mean that there is a constant or equal thermo-equilibrium all over the body. There is a problem about the definition of the term "comfort" and the relationship between the thermal sensation and the affective estimate.

The human body is a thermal machine, immersed in air. In this paper, the thermoregulation of the body is presented and explained. Due to its thermoregulation, the body ensures its independent activity, regardless the outer temperatures. That system is quite complex, performant and reactive with a great adaptabitily.
To be valid and efficient, the modelisation of that system has to integrate all those exceptionnal characteristics.

Thermal comfort is a concept quite complex that uses various phenomena, so the methods chosen for its evaluation are different according to the aspects one is interested in. The objective of this paper is not to make an exhaustive review of the exisiting methods but to show advantages and drawbacks of the various approaches. The tools used for evaluation are very often the same as those chosen for investigation and research.

The nesting of a new zonal model within a multizone model has allowed an increased resolution in the prediction of local air flow velocities, temperature and concentration distributions between rooms and within rooms.

The new model of the COMIS program has been modified, it allows individual rooms to be divided into smaller zones. This new program has been evaluated and the results have been compared to those from other zonal and CFD models.

This paper describes a new tool, ils architecture and its predictive performance. BACH is a computational tool for air flow simulation in and around buildings in the early stages of the design process.

Several thermal building simulators also allow coupled modeling of bulk air movements using airflow network models.However, solving the combined flow and thermal problem can be problematic, both in the context of traditional building simulators and for modern environments, where both airflow and thermal models are formulated as sets of differential-algebraic equations (DAE). For variable-time-step DAE-basedsimulators, difficult coupled problems often lead to small time steps and slow simulations.

The purpose of the current study is to compare experimental thermal comfort results with those predicted by the Fanger model. In making this comparison, the uncertainty of the data will be considered along with the uncertainty of the Fanger model predictions based on the uncertainty of the model input parameters. A primary outcome of the study will be a better understanding of the uncertainty associated with thermal comfort predictions. A qualitative comparison illustrates that the Fanger model can predict the experimental results for many of the cases.