Mise au point d'une méthodologie permettant d'approcher sans simulation par le concepteur/décideur :_x000D_ - les consommations totales (combustibles et électricité pour tous les usages) d'un bâtiment neuf et la dépense d'exploitation annuelle;_x000D_ - la comparaison d'une consommation annuelle estimée après amélioration à la consommation existante (à partir des consommations observées grâce au système de GTB) dans le cas d'une rénovation._x000D_ Il s'agit de produire une véritable bibliothèque de modèles analytiques multi-paramètres donnant la consommation et la dépense d'exploitation surfacique en fonction des paramètres clés du bâtiment/système. Une approche tecnico économique complète sur une base de coûts d'intervention peut alors être mis en oeuvre. Ceci ouvre alors la voie à deux utilisations principales :_x000D_ - Explorer pour des bâtiments neufs les combinatoires de solutions techniques de manière à obtenir pour différents climats, bâtiments, systèmes des solutions efficaces et rentables. Le modèle permettra de comparer différentes solutions entre elles._x000D_ Déterminer dans l'existant comment s'intègrent des solutions d'économie d'énergie (briques technologiques élementaires) quand elles sont combinées de manière à rechercher une ou plusieurs combinaisons efficaces._x000D_ Enjeux scientifiques et technique :_x000D_ Les plans d'expéreinces reposent essentiellement sur des expérimentations multi facteurs et sur un traitement des résultats à l'aide de régressions multiples et d'analyse de la variance. Leur utilisation impose une connaissance du phénomène étudié avant d'entreprendre les essais. On doit être en mesure de lister les paramètres susceptibles d'agir sur le fonctionnement du système._x000D_ Si le nombre des facteurs et de leurs niveaux est élevé, la solution consiste à réduire le nombre des niveaux et/ou des variables en contrôlant la pertinence des résultats obtenus._x000D_ Le plan fractionnaire est une fraction d'un plan factoriel, il s'agit d'un sous-ensemble orthogonal de combinaisons du plan factoriel. Grâce à ces plans, le nombre de simulations est diminué, on peut évaluer sa précision._x000D_ Il faut représenter les nombreurses solutions techniques énergétiquement performantes qui sont présentes sur le marché et être capable d'établir une correspondance entre ces offres de solutions et des niveaux des paramètres agrégés explicatifs servant de base aux pmodèles analytiques. Le nombre de niveaux (2 ou 3) doit être choisi selon la linéarité ou non de la réponse.

As part of H2020 program, Clean Sky 2 aims at pushing forward the whole EU aeronautical sector to a worldwide prominent place as well as addressing ambitious targets in reduction of pollution and fuel consumption. Within the “Sustainable and Green Engine” Integrated Technology Demonstrator, WP 2 “Ultra High Propulsive Efficiency demonstrator for Short Medium Range Aircraft” aims to bring to market a new engine generation with large bypass ratios. The present call JTI-CS2-2018-CfP09-ENG-01-41 concerns the inherent problem of vortex ground ingestion into the fan during ground operating conditions with cross-wind. Its objective is to obtain a method able to predict the vortex properties based on degraded WTT instrumentation. The consortium proposes the project named InVIGO for Intake Vortex Ingestion in Ground Operation. Two partners are involved: ALTRAN, European leader on innovation and high-tech engineering consulting, as project coordinator, and in charge of CFD activities, the prediction method and the project coordination and CSTB, Scientific and Technical Center for Building specialized in experimental campaigns for buildings, structures, industrial equipment and vehicles, to perform the wind tunnel tests. This project is composed of three main activities: the first one is dedicated to the generation of a comprehensive database on vortex characteristics from WTT measurements and CFD simulations, the second one to the method development itself and its industrialization and the last one on management and scientific dissemination. The key strengths of our proposal are notably the following ones: • New approach with artificial intelligence applied to flow characterization of fan inlet • WTT campaigns on the whole ground vortex formation conditions • Strong expertise on CFD and numerical method development • Strong relationship between experimental and numerical simulation teams

In many situations, one would like to be able to rapidly detect the presence of some microorganisms of interest in a given sample. For armed forces in operation for instance, it may be crucial to swiftly detect the occurrence of highly pathogenic germs aerosolized by the enemy. Though exquisitely selective and sensitive, molecular biology based assays are too slow to fulfil this requirement whereas spectroscopic techniques used in the currently available sensors intrinsically suffer from lack of selectivity and/or sensitivity. Numerous reports suggest that it may be feasible to extract robust signatures of bacteria species from their Raman spectra, and that these signatures may be used to identify them at the species level. However, all of theses studies have relied on a rather small number of microorganisms grown in the laboratory under well defined culture conditions, and it is conceivable that the classification models built up with this kind of setting may be overfitted and may behave poorly indeed when confronted with environmental samples with much higher biodiversity. The goal of the SIBIRAM project is to build up a chemometric model based on the Raman signature of microorganisms found in natural aerosols and to assess its robustness by applying it for the description of the microbiological flora of various aerosols at the species level. To that end, we will first acquire the Raman spectra of individual microorganisms immediately after their collection with an air sampler. We will then identify the species of each of them by ribotyping and use these data to build up and optimize the chemometric model using various multivariate analysis methods. We will then use the model to characterise natural aerosols that will have been contaminated with a harmless bacteria species in order to simulate the presence of a pathogen. We will thus be able to assess the performance level of this tool in terms of selectivity and sensitivity and compare it with that of an ideal biosurveillance sensor. In order to increase this performance level, we will design a new protocol with the aim of increasing the species-specific information content of the Raman spectra. To that end, we will extend the spectra in a second dimension by recording them using several excitation wavelengths. We will also stress the microorganisms in several ways prior to spectra acquisition. By sweeping the stress parameters, we will end up with multidimensional spectra that we will use to upgrade our chemometric model. Using this model to describe the microbiological content of aerosols at the species level, we will be able to assess the new level of performance and the added value of our multidimensional Raman scattering approach. Finally, we will use these results to define some key technical requirements that a Raman scattering based biosurveillance sensor should fulfil.