Models Applied to Energy and Ventilation Interoperable and Adaptable – MAEVIA

There are few tools dealing with aerodynamics in terms of indoor air quality. Some expert users can do the calculation at very high added value with CFD (Computational Fluid Dynamics) tools. In contrast, energy simulation proved the robustness of model simplifications. This enables to provide simple and quality tools to the study offices. this case have to be explored for the indoor air quality simulation goal.

The target is to work on an indoor air quality tool linkable to a thermal tool. This tool must be versatile to be able to reflect the reality and to valuate innovations. This tool has to be easy to use for non expert users. This apparent contradiction will be resolved by a new way to develop targeting the reduction of the constraints of the IT and of the algorithmic of the models to focus on the representation of physical phenomena and their interactions.

The ambition is to have ranges of predictive tools to the operating nearest real conditions of usage to enable the implemented methods guarantee both the intrinsic performance of buildings and the comfort and health of the occupants.

Methods of uncertainties Integration in models
Methods of occupancy Integration in models
Methods of defects implementation Integration in models
Methods of the interoperability of the models

The objective of the MAEVIA project is to fully take into account in numerical tools, the degradation of the nominal expected performance due to actual deficiencies in the building process as well in the actual use of the building and the systems in the framework of indoor air quality.
Indoor air quality requires much more focus on these aspects than solely energy as the human impact on conception, realization or usage of the building may harm human health. The impact of a miscalculation on the amount of pollutant, i.e. on human health, is not as critical a miscalculation on energy bill. Starting from tools simulating ideal systems and buildings, this requires to move toward tools providing calculations in real condition of usage.
There are few tools dealing with aerodynamics in terms of indoor air quality. Expert users can handle very high value added tools of the CFD family (Computational Fluid Dynamics). In contrast, energy simulation proved the robustness of model simplifications that can broadcasted beyond a few experts. This has to be explored for indoor air quality simulation.
We aim at working on an indoor air quality tool linkable to a thermal tool. This tool must be versatile and able to reflect the reality and to account for innovations. Meanwhile, this tool has to be easy to use for non expert users. This apparent contradiction will be solved by a new way of developing applications, targeting the reduction of the constraints of the IT and of the algorithmic of the models to focus on the physic representation of phenomena and their interactions.