Diploma thesis is focus on ventilation systems in Zero energy building and indoor air quality. Whole thesis has three part. First is about theory, where you can find law regulations and standards connected wit nZEB, factors influence IAQ and introduced ventilations systems. Second part is focus on particles transport in buildings like a nZEB and in heat recovery units. Last part of the thesis shows own design of the nZEB for Nový Lískovec.

<p>Infant exposure to the microbial and allergenic content of indoor floor dust has been shown to play a significant role in both the development of, and protection against, allergies and asthma later in life. Resuspension of floor dust during infant locomotion induces a vertical transport of particles to the breathing zone, leading to inhalation exposure to a concentrated cloud of coarse (> 1μm) and fine (≤ 1μm) particles. Resuspension, and subsequent exposure, during periods of active infant locomotion is likely influenced by gait parameters. This dependence has been little explored to date and may play a significant role in floor dust resuspension and exposure associated with forms of locomotion specific to infants. This study explores associations between infant locomotion dynamics and floor dust resuspension and exposure in the indoor environment. Infant gait parameters for walking and physiological characteristics expected to influence dust resuspension and exposure were identified, including: contact frequency (steps min^-1), contact area per step (m²), locomotion speed (m s^-1), breathing zone height (cm), and time-resolved locomotion profiles. Gait parameter datasets for standard gait experiments were collected for infants in three age groups: 12, 15, and 19 months-old (m/o). The gait parameters were integrated with an indoor dust resuspension model through a Monte Carlo framework to predict how age-dependent variations in locomotion affect the resuspension mass emission rate (mg h^-1) for five particle size fractions from 0.3 to 10 μm. Eddy diffusivity coefficients (m² s^-1) were estimated for each age group and used in a particle transport model to determine the vertical particle concentration profile above the floor.</p><p>Probability density functions of contact frequency, contact area, locomotion speed, breathing zone height, and size-resolved resuspension mass emission rates were determined for infants in each group. Infant standard gait contact frequencies were generally in the range of 100 to 300 steps min^-1and increased with age, with median values of 186 steps min^-1for 12 m/o, 207 steps min^-1 for 15 m/o, and 246.2 steps min^-1 for 19 m/o infants. Similarly, locomotion speed increased with age, from 67.3 cm s^-1at 12 m/o to 118.83 cm s^-1 at 19 m/o, as did the breathing zone height, which varied between 60 and 85 cm. Resuspension mass emission rates increased with both infant age and particle size. A 19 m/o infant will resuspend comparably more particles from the same indoor settled dust deposit compared to a 15 m/o or 12 m/o infant. Age-dependent variations in the resuspension mass emission rate and eddy diffusivity coefficient drove changes in the vertical particle concentration profile within the resuspended particle cloud. For all particle size fractions, there is an average of a 6% increase in the resuspended particle concentration at a height of 1 m from the floor for a 19 m/o compared to a 12 m/o infant. Time-resolved locomotion profiles were obtained for infants in natural gait during free play establish the transient nature of walking-induced particle resuspension and associated exposures for infants, with variable periods of active locomotion, no motion, and impulsive falls. This study demonstrates that floor dust resuspension and exposure can be influenced by the nature of infant locomotion patterns, which vary with age and are distinctly different from those for adults.</p>

Indoor air quality is a measure of clean air with comfort conditions and depiction of lower concentration of air pollutants. It is tedious task to achieve all quality measures at a time with smart energy consumption. This research aims to come up with a solution of how to improve smart ventilation system in order to get clean indoor air with less consumption of electric energy. Many studies showed that scheduled ventilation system has proven to be a good solution to this problem. For this purpose, a long-term sensor data of smart ventilation system Renson healthbox and Luvians data is studied which is operated in Dalarnas villa. This research investigates how this system works in two modes and to improve it by customized scheduling.A regression model is constructed in which the relationship between airflow and CO2 is shown. For this purpose, correlation analysis is used in which the connection of bonds between each data features are analyzed. After the feature selection, as a result from correlation matrix, regression analysis is used to find out whether the selected features are linearly related or not. Regression analysis also used for the intent to quantify a model to estimate the flowrate and CO2. A mathematical model is also build to simulate the flowrate and CO2 with energy consumption.The results showed that, in order to provide better indoor air quality with efficient energy consumption, a necessary modification of the fan schedule should be done in a way that fan must be started little bit earlier to avoid harmful particles reach their upper threshold limits. This can result in reduction of fan’s maximum speed hence consumption of less energy is achieved.

It is a dilemma problem to achieve both these two goals: a) to maintain a best indoor air quality and b) to use a most efficient energy for a house at the same time. One of the outstanding components involving these goals is a smart ventilation system in the house. Smart ventilation strategies, including demand-controlled ventilation (DCV), have been of great interests and some studies believe that DCV strategies have the potential for energy reductions for all ventilation systems. This research aims to improve smart ventilation system, in aspects of energy consumption, indoor CO2 concentrations and living comfortness, by analyzing long-term sensor data. Based on a case study on an experimental house -- Dalarnas Villa, this research investigates how the current two ventilations modes work in the house and improves its ventilation system by developing customized ventilation schedules. A variety of data analysis methods were used in this research. Clustering analysis is used to identify the CO2 patterns and hence determine the residents living patterns; correlation analysis and regression analysis are used to quantify a model to estimate fan energy consumption; a mathematical model is built to simulation the CO2 decreasing when the house is under 0 occupancy. And finally, two customized schedules are created for a typical workday and holiday, respectively, which show advantages in all aspects of energy consumption, CO2 concentrations and living comfortness, compared with the current ventilation modes.

La pollution de l’air intérieur est aujourd’hui reconnue comme un enjeu de santé publique. La règlementation impose depuis 2012 un étiquetage des matériaux de construction et d’ameublement en matière d’émission de polluants volatils. Bien que les méthodes de mesure d’émission de polluants soient nombreuses, il n’existe aucun matériau-standard émissif de référence pour les polluants de l’air intérieur qui permettrait la comparaison et la validation des mesures d’émission. L’objectif de ce travail est de produire des matériaux émissifs de référence en utilisant des matériaux à porosité contrôlée avec des tailles de pores adaptées à celle du polluant-cible pour un relargage contrôlé en concentration en fonction du temps. Les matériaux étudiés sont des polymères inorganiques ou hybrides organique-inorganiques synthétisés par voie sol-gel sous forme de blocs monolithiques ou déposés sur des substrats solides (verre ou textile). Différents matériaux microporeux ou/et mésoporeux ont été dopés au toluène et au naphtalène par exposition à leur vapeur saturante pendant des durées variables (2h à plusieurs jours). Ceci permet d’étudier l’influence de la taille des pores du matériau sur la vitesse de relargage du polluant. Le suivi cinétique du relargage spontané des polluants est réalisé selon un 1er mode statique avec une mesure optique du spectre d’absorption du polluant gazeux dans l’UV en fonction du temps. Dans le 2ème mode, le relargage dynamique sous balayage d’air du matériau dopé disposé dans une cellule FLEC normalisée est réalisé avec une mesure en continu de la concentration du polluant par chromatographie en phase gazeuse. Nous avons montré qu’il est possible de produire des matériaux à porosité contrôlée avec des gammes de distributions de tailles de pores allant de 0,8 à 12 nm. En choisissant judicieusement la matrice poreuse et la durée de dopage et en contrôlant les conditions de mise en œuvre (température, humidité), nous pouvons imposer la vitesse de relargage du polluant. Les gammes de vitesses d’émission vont de 30 µg.m-3.h-1 (classe A+) à 8.104 µg.m-3.h-1 (classe C) pour le toluène et de 2,6.103 à 2,6.104 µg.m-3.h-1 pour le naphtalène. Ces résultats montrent que ces matériaux pourront être utilisés pour une large gamme de polluants. / Indoor air pollution is now recognized as a public health issue. Since 2012, the regulations have required the labelling of construction and furnishing materials with regard to the emission of volatile pollutants. Although there are many methods for measuring pollutant emissions, there is no standard reference emissive material for indoor air pollutants that would allow for comparison and validation of emission measurements. The objective of this work is to produce reference emissive materials by using porous materials with pore sizes tailored to the doped target pollutant with controlled release in pollutant concentration over time. The materials studied are inorganic or hybrid organic-inorganic polymers synthesized by sol-gel in the form of monolithic blocks or deposited on solid substrates (glass or textile). Various microporous and/or mesoporous materials have been doped with toluene and naphthalene pollutants by exposure to the latters’ saturated vapour for varying periods of time (2 hours to several days). The influence of the size of the pores of the material on the release of the pollutant has been studied. The kinetic monitoring of the spontaneous release of pollutants is carried out in two independent modes. A 1st static mode involves an optical measurement of the absorption spectrum of the gaseous pollutant in the UV as a function of time. In the 2nd mode, the dynamic air-sweeping release of the doped material placed in a standard FLEC cell is carried out with continuous measurement of the pollutant concentration by gas chromatography. We have shown that it is possible to produce materials with controlled porosity with narrow pore size distributions over the 0.8 to 12 nm domain. Further, by choosing judiciously the porous matrix and doping time and controlling the experimental conditions of release (temperature, humidity), we can impose the rate of release of the pollutant. The emission velocity ranges from 30 µg.m-3.h-1 (class A+) to 8.104 µg.m-3.h-1 (class C) for toluene and from 2.6.103 to 2.6.104 µg.m-3.h-1 for naphthalene. These results indicate that these materials can be used for a wide range of pollutants.

No description available.

<p>The principal aim was to study selected aspects of indoor environment in dwellings and their association with symptoms compatible with the sick building syndrome (SBS). A validated questionnaire was developed specifically for residential indoor investigations, using sociological principles and test procedures. The questionnaire was mailed to 14,243 multi-family dwellings in Stockholm, selected by stratified random sampling. Females, subjects with a history of atopy, those above 65 y, and those in new buildings reported more symptoms. Subjects owning their own dwelling had less symptoms. A multiple regression model was developed, to identify residential buildings with a higher than expected occurrence of SBS. In total, 28.5% reported at least one sign of building dampness in their home (condensation on windows, humidity in the bathroom, mouldy odour, water leakage). All indicators of dampness were related to symptoms, even when adjusting for demographic data, and other building characteristics (OR=2.9-6.0). Associations between symptoms and other building data was evaluated in older houses, built before 1961. Subjects in older buildings with a mechanical ventilation system had fewer symptoms. Heating by electric radiators, and wood heating was associated with an increase of most types of symptoms (OR=1.2-5.0). Multiple sealing measures (OR=1.3), and major reconstruction (OR=1.1-1.9), was associated with an increase of symptoms. The effect of seasonal adapted ventilation (SAV) was studied in a small experimental study. A 20% reduction of ventilation flow from 0.5-0.8 ac/h to 0.4-0.5 ACH during the heating season increased the perception of poor indoor air quality in the dwelling in general, and in the bedroom. In conclusion, low building age, and building dampness in the dwelling are associated with SBS. In older houses, mechanical ventilation is beneficial. The thesis did not support the view that energy saving measures in general is an important risk factor for SBS, but major reconstruction and multiple sealing measures can be risk factor for symptoms. Reducing the outdoor ventilation flow below the current Swedish ventilation standard (0.5 ACH) may increase the perception of impaired air quality. </p>

The principal aim was to study selected aspects of indoor environment in dwellings and their association with symptoms compatible with the sick building syndrome (SBS). A validated questionnaire was developed specifically for residential indoor investigations, using sociological principles and test procedures. The questionnaire was mailed to 14,243 multi-family dwellings in Stockholm, selected by stratified random sampling. Females, subjects with a history of atopy, those above 65 y, and those in new buildings reported more symptoms. Subjects owning their own dwelling had less symptoms. A multiple regression model was developed, to identify residential buildings with a higher than expected occurrence of SBS. In total, 28.5% reported at least one sign of building dampness in their home (condensation on windows, humidity in the bathroom, mouldy odour, water leakage). All indicators of dampness were related to symptoms, even when adjusting for demographic data, and other building characteristics (OR=2.9-6.0). Associations between symptoms and other building data was evaluated in older houses, built before 1961. Subjects in older buildings with a mechanical ventilation system had fewer symptoms. Heating by electric radiators, and wood heating was associated with an increase of most types of symptoms (OR=1.2-5.0). Multiple sealing measures (OR=1.3), and major reconstruction (OR=1.1-1.9), was associated with an increase of symptoms. The effect of seasonal adapted ventilation (SAV) was studied in a small experimental study. A 20% reduction of ventilation flow from 0.5-0.8 ac/h to 0.4-0.5 ACH during the heating season increased the perception of poor indoor air quality in the dwelling in general, and in the bedroom. In conclusion, low building age, and building dampness in the dwelling are associated with SBS. In older houses, mechanical ventilation is beneficial. The thesis did not support the view that energy saving measures in general is an important risk factor for SBS, but major reconstruction and multiple sealing measures can be risk factor for symptoms. Reducing the outdoor ventilation flow below the current Swedish ventilation standard (0.5 ACH) may increase the perception of impaired air quality.

Améliorer la gestion et l’organisation des blocs opératoires est une tâche critique dans les hôpitaux modernes, principalement à cause de la diversité et l’urgence des activités impliquées. Contrairement à l’aviation civile, qui a su optimiser organisation et sécurité, le management de bloc opératoire est plus délicat. Le travail ici présenté abouti au développement et à l’installation de nouvelles technologies assistées par ordinateur résolvant les problèmes quotidiens des blocs opératoires. La plupart des systèmes existants modélisent le flux chirurgical et sont utilisés seulement pour planifier. Ils sont basés sur des procédés stochastiques, n’ayant pas accès à des données sûres. Nous proposons une structure utilisant un modèle multi-agent qui comprend tous les éléments indispensables à une gestion efficace et au maintien de la sécurité dans les blocs opératoires, allant des compétences communicationnelles du staff, au temps nécessaire à la mise en place du service de nettoyage. Nous pensons que la multiplicité des ressources humaines engagées dans cette structure cause des difficultés dans les blocs opératoires et doit être prise en compte dans le modèle. En parallèle, nous avons construit un modèle mathématique de flux d’air entre les blocs opératoires pour suivre et simuler la qualité de l’environnement de travail. Trois points sont nécessaires pour la construction et le bon fonctionnement d’un ensemble de bloc opératoire : 1) avoir accès au statut du système en temps réel grâce au placement de capteurs 2) la construction de modèles multi-échelles qui lient tous les éléments impliqués et leurs infrastructures 3) une analyse minutieuse de la population de patients, du comportement des employés et des conditions environnementales. Nous avons développé un système robuste et invisible qui permet le suivi et la détection automatique d’événements dans les blocs. Avec ce système nous pouvons suivre l’activité à la porte d’entrée des blocs, puis l’avancement en temps réel de la chirurgie et enfin l’état général du bloc. Un modèle de simulation numérique de mécanique des fluides de plusieurs blocs opératoires est utilisé pour suivre la dispersion de fumée chirurgicale toxique, ainsi qu’un modèle multi-domaine qui évalue les risques de propagation de maladie nosocomiale entre les blocs. La combinaison de ces trois aspects amène une nouvelle dimension de sensibilisation à l’environnent des blocs opératoires et donne au staff un système cyber-physique capable de prédire des événements rares impactant la qualité, l’efficacité, la rentabilité et la sécurité dans l’hôpital. / Improving operating room management is a constant issue for modern large hospital systems who have to deal with the reality of day to day clinical activity. As opposed to other industrial sectors such as air civil aviation that have mastered the topic of industry organization and safety, progress in surgical flow management has been slower. The goal of the work presented here is to develop and implement technologies that leverage the principles of computational science to the application of OR suite problems. Most of the currently available models of surgical flow are used for planning purposes and are essentially stochastic processes due to uncertainties in the available data. We propose an agent-based model framework that can incorporate all the elements, from communication skills of the staff to the time it takes for the janitorial team to go clean an OR. We believe that human factor is at the center of the difficulty of OR suite management and should be incorporated in the model. In parallel, we use a numerical model of airflow at the OR suite level to monitor and simulate environment conditions inside the OR. We hypothesize that the following three key ingredients will provide the level of accuracy needed to improve OR management : 1) Real time updates of the model with ad hoc sensors of tasks/stages 2) Construction of a multi-scale model that links all key elements of the complex surgical infrastructure 3) Careful analysis of patient population factors, staff behavior, and environment conditions. We have developed a robust and non-obtrusive automatic event tracking system to make our model realistic to clinical conditions. Not only we track traffic through the door and the air quality inside the OR, we can also detect standard events in the surgical process. We propose a computational fluid dynamics model of a part of an OR suite to track dispersion of toxic surgical smoke and build in parallel a multidomain model of potential nosocomial contaminant particles flow in an OR suite. Combining the three models will raise the awareness of the OR suite by bringing to the surgical staff a cyber-physical system capable of prediction of rare events in the workflow and the safety conditions.

Dans le contexte énergétique français actuel, deux principaux enjeux émergent. À court terme, des pointes de consommation électrique croissantes sont observées les dernières années pendant la période hivernale. Ces pointes sont fortement liées au chauffage électrique et ont des conséquences économiques, environnementales et sociales importantes. Dans un long terme, des objectifs environnementaux ambitieux ont été fixés au niveau national et européen, nécessitant la technologie de stockage thermique et une gestion efficace de l'environnement bâti. Les Matériaux à Changement de Phase (MCP) ainsi que les dispositifs de type échangeurs thermiques offrent des résultats promettant grâce au stockage thermique et le déplacement des consommations. Dans ce cadre, l’objectif de cette thèse est de développer des solutions de déplacement des consommations énergétiques qui prennent en compte le confort thermique des occupants et la qualité de l’air intérieur. Pour ce faire, deux outils sont nécessaires: un échangeur thermique expérimental (prototype) et un modèle numérique capable de simuler son comportement. L'échangeur contient du MCP macroencapsulé (paraffine) et est conçu de manière à faciliter son intégration dans un système de ventilation. Il a comme but de décaler la consommation due au chauffage électrique vers la période hors pointe. Le dispositif a été caractérisé expérimentalement lors des cycles thermiques complets (charge et décharge) en utilisant une quantité importante de capteurs. Il a ensuite été couplé à une cellule expérimentale, afin de tester des stratégies de contrôle préliminaires. Le modèle numérique est basé sur la discrétisation spatiale et l’établissement du bilan de chaleur des couches considérées, la méthode de la capacité thermique apparente, ainsi que l’utilisation des différences finies. Après validation à l’aide des données expérimentales, le modèle a été utilisé pour optimiser la performance de l'échangeur. Plusieurs paramètres ont été étudiés, y compris les dimensions de l'échangeur, la quantité et les propriétés du MCP, en cherchant la configuration avec le compromis optimal entre la chaleur emmagasinée et le temps nécessaire pour la charge et la décharge. Le modèle numérique a été couplé à un modèle de simulation du bâtiment et un logement de 80m2 a été conçu pour la mise en oeuvre et l'évaluation des stratégies de contrôle, en investiguant différents scénarios sur une période hivernal d’un mois. Les scénarios varient avec une complexité croissante, d'abord en considérant l’effacement énergétique et le confort thermique, ensuite en ajoutant le prix final de la consommation électrique et enfin en prenant compte la qualité de l'air intérieur avec la présence d'une famille de quatre personnes. 6 Cette étude a été menée dans le cadre d'un projet financé par l'Agence National de la Recherche (Stock-Air: ANR-Stock-E) et a également été soutenu par le ministère de l'Ecologie, du Développement durable et de l'Energie. / Considering the current French energy context, two major challenges are emerging. In the short term, significant peak power consumption has been observed in the past few years during the winter season. These peaks are strongly linked to electrical space heating and have important economic, environmental and social implications. In the long term, ambitious environmental goals have been set at national and European levels, requiring thermal storage technology and efficient management of the built environment. As part of the solution, Phase Change Materials (PCM) and heat exchanger applications offer promising results through thermal storage and load shifting techniques. Within this framework, the objective of this thesis is to develop load shifting solutions which also take into account the thermal comfort of the occupants and the indoor air quality. To achieve this, two tools were necessary: an experimental heat exchanger unit (prototype) and a numerical model that accurately simulates its behavior. The exchanger contains macroencapsumated PCM (paraffin) and is conceived in a way that facilitates its integration in a ventilation system. It is aimed to shift space heating electrical consumption from peak to off-peak period. The unit was experimentally characterized, using an important amount of sensors through full thermal cycles (charging and discharging) and was coupled to an experimental test cell, which led to the testing of preliminary control strategies. The numerical model is based on the heat balance approach and the apparent heat capacity method, using finite differences for differential equation solution under Matlab/Simulink environment. After validation with experimental data, the model was used to optimize the performance of the exchanger. Several parameters were investigated, including heat exchanger dimensions, PCM quantity and properties, seeking the configuration with the optimal compromise between stored heat and the time needed for the charging / discharging process. The numerical model was coupled to a building simulation model and an 80m2 dwelling was conceived for control strategies implementation and evaluation, by investigating different scenarios over a one- month winter period. The scenarios vary with increasing complexity, first considering load shifting and thermal comfort, then adding the final price of electricity consumption and finally taking into account the indoor air quality with the presence of a four-person family. This study has been conducted within the framework of a project funded by the French National Research Agency (Stock-Air: ANR-Stock-E) and was also financially supported by the French Ministry of Sustainable Development.