L’objectif de cette étude était d’obtenir un capteur à bas coût, fonctionnant à température ambiante, et permettant d’obtenir une information sur la concentration d’ammoniac d’une atmosphère, sans tenir compte de l’humidité. Cela implique une très faible sensibilité à l’humidité et une faible synergie entre l’eau et l’ammoniac.Au terme d’une étude sur la mise en forme de films hybrides hydrophiles, par un procédé « propre » dans l’eau, un capteur a été développé, par un assemblage en couche par couche de polyélectrolytes hydrophiles, la polyaniline et la phtalocyanine tétrasulfonée de cuivre : PANI/TsPcCu. Ce capteur présente une limite de détection d’ammoniac inférieure au ppm et une très faible sensibilité à l’eau, permettant de détecter l’ammoniac sans informations sur l’humidité de l’air.De nouveaux dispositifs, basés sur un mode de transduction breveté, ont été étudiés : les heterojonctions MSDIs (Molecular Semiconductor-Doped Insulator). Ces dispositifs sont formés de deux couches superposées, une sous-couche isolante de type n, F16PcCu ou le PTCDA, et une couche supérieure semi-conductrice de type p, Pc2Lu. L’importance de la jonction entre les deux matériaux, mais aussi de la jonction entre les électrodes et la sous-couche, a été démontrée à l’aide de mesures d’impédances. Les propriétés capteurs des dispositifs MSDI ont été étudiées par exposition à l’ammoniac sur une large gamme d’humidité. Ils présentent une très faible sensibilité à l’eau et permettent de détecter des concentrations d’ammoniac inférieures au ppm. Suite au développement d’un banc de mesures spécifique permettant l’affinage de fromages, celui-ci a pu être suivi par des mesures capteur avec un résistor de PcCo et par GC-MS. Ces mesures ont mis en évidence l’intérêt de tels capteurs pour suivre l’évolution de la maturation des fromages. / The aim of this study was to obtain a low cost sensor, working at room temperature, capable to obtain an information about the ammonia concentration without any information about the humidity. These characteristics imply a very low sensitivity to humidity and a low cross sensitivity between humidity and ammonia.After a study on material processing of hydrophilic films using water as solvent, a sensors has been developed by using layer by layer assembly of polyelectrolytes, such as polyaniline and the tetrasulfonated copper phthalocyanine: PANI/TsCuPc. This sensor is able to detect sub ppm ammonia concentration, with a very low cross sensitivity between ammonia and water which allow ammonia sensing without any information about the humidity.New devices based on a patented transduction method were studied: the MSDIs heterojunctions (Molecular Semiconductor-Doped Insulator). This kind of device is prepared with two different layers, a sub layer of an n-type insulator, F16CuPc or PTCDA, and an upper layer of a p-type semiconductor, LuPc2. The importance of the junction between both materials and between the sub layer and the electrodes were studied by using ammonia exposure on a large humidity range. They exhibit a very low sensitivity to humidity and allow sub ppm ammonia sensing whatever the humidity is.A specific workbench has been developed and tested in the laboratory, to follow cheese ripening by using CoPc gas sensors and gas chromatography. These measurements showed readiness to the use of the kind of gas sensors for the follow up of dairy products.

La piscine fait partie des établissements publics les plus fréquentés dans notre société. En effet, il ne s’agit pas uniquement d’un lieu de pratique d'activités physiques, mais également un espace de détente, de jeu, d’éducation et de lien familial. Il est de toute évidence essentiel, de fournir un environnement intérieur confortable et sain pour ses occupants. Cependant, en raison de sa dimension, son besoin excessif en énergie et la complexité des phénomènes physiques évoluant à l’intérieur, il est difficile de parvenir à un équilibre optimum entre : qualité de l’air intérieur, confort thermique des occupants et efficacité énergique du bâtiment. Il faut pour cela, parvenir à une description des mécanismes qui façonnent la structure de l’écoulement de l’air par une analyse profonde de ces phénomènes qui sont à l'origine des transferts de chaleur et de masse mis en jeu à l’intérieur. Ainsi, l’objectif visé de cette thèse est de présenter une étude numérique thermo aéraulique, par CFD en régime stationnaire et transitoire, qui permet d’évaluer le comportement dynamique, thermique et thermodynamique des différents phénomènes physiques qui évoluent à l’intérieur de la piscine intérieure semi-olympique de l’université Bishop’s (Sherbrooke, Canada) afin d’améliorer la qualité de l’air intérieur et le confort thermique ainsi que son rendement énergétique. Les simulations sont réalisées avec le logiciel libre OpenFOAM en utilisant une approche RANS. Une étude thermo-aéraulique par CFD a d’abord été réalisée sur une cavité rectangulaire avec plancher chauffé, afin d’appréhender les simulations thermo aérauliques. Cela a abouti à la détermination de la meilleure configuration d’aération pour une qualité de l’air et un confort thermique optimum. Plusieurs simulations CFD du flux d'air tridimensionnel avec transfert de chaleur et de masse ont été aussi effectuées ultérieurement pour la piscine, afin d’évaluer les effets des conditions climatiques extérieures et ceux des nageurs sur l'atmosphère intérieure. En adoptant plusieurs modèles de turbulence de type RANS, la comparaison des résultats obtenus avec les données expérimentales de référence a permis de valider le code OpenFOAM. Les données expérimentales ont été recueillies au préalable au sein de la piscine de l’Université Bishop’s à l’aide d’un dispositif conçu et adapté aux conditions internes propre à la piscine et qui est équipé de plusieurs capteurs pour la mesure de : température, humidité relative et vitesse. Enfin, une étude thermo-aéraulique de la piscine en régime turbulent transitoire pour une durée de 24 heures pour les jours typiques d'été et d'hiver a été réalisée afin de prédire l’évolution de la distribution des paramètres tels que la vitesse, la température et l'humidité relative. Une analyse statistique a permis de montrer que les conditions climatiques extérieures n'ont pas d'effet sur l'environnement interne de celle-ci. D’ailleurs, sa très bonne isolation thermique démontrée par un calcul détaillé des pertes thermiques à travers son enveloppe confirme ce constat. D’autre part, l’évaluation de la qualité de l'air intérieur et le confort thermique des occupants a révélé que ces derniers sont inacceptables. Suite auxquels, un ajustement des paramètres de conditionnement de l’air a été apporté pour fin d’amélioration. / Abstract : The swimming pool is one of the most popular public establishments in our society and is not just a place for physical activities but also a space for relaxation, play, education and family ties. It is therefore important to ensure a healthy and comfortable indoor environment for the occupants. However, given the size, energy requirement and complexity of the physical phenomena that take place within such space, it is difficult to achieve an optimum balance between interior air quality, thermal comfort of occupants and energy efficiency of the building. This requires a description of the mechanisms, which determine the structure of the airflow by a profound analysis of these phenomena, which are the origin of the heat and mass transfers involved inside such spaces. The objective of this thesis is to present a numerical thermo-ventilation study using CFD (computational fluid dynamic) in stationary and transient regime that allows to evaluate the dynamic, thermal and thermodynamic behaviors of the various phenomena that take place inside the semi-Olympic closed swimming pool at Bishop's University (Sherbrooke, Qc, Canada). The aim is to improve the indoor air quality and thermal comfort of occupants as well as its energy efficiency. The simulations are carried out using OpenFOAM (Open Field Operation and Manipulation) using a Reynolds-Averaged Navier-Stokes (RANS) approach. To do this, a CFD thermo-ventilation study was first carried out on a rectangular cavity with heated floor in order to understand the thermo-ventilation simulations. This has led to the determination of the best ventilation configuration for optimum air quality and thermal comfort. Several CFD simulations of the three-dimensional airflow with heat and mass transfer were also carried out later for the indoor swimming pool to evaluate the effects of outdoor climatic conditions and swimmers on the indoor atmosphere of the pool. By adopting several RANS turbulence models, the comparison of the results obtained with the experimental data allowed to validate the OpenFOAM code. The experimental data were collected in the pool at Bishop's University using a device designed and adapted to the pool’s internal conditions. The devise is equipped with several sensors to measure temperature, relative humidity and velocity. Finally, a thermo-ventilation study of the swimming pool in transient turbulent regime for a duration of 24 hours for typical days of summer and winter was conducted in order to predict the distribution of the various parameters such as velocity, temperature and relative humidity. A statistical analysis showed that the external climatic conditions have no effect on the internal environment of the swimming pool. Moreover, its good thermal insulation demonstrated by a detailed calculation of the thermal losses through building envelope confirms this observation. On the other hand, the evaluation of the indoor air quality and the thermal comfort of occupants revealed that the conditions inside the pool are unacceptable. After which, an adjustment of the air conditioning parameters was made for improvements.

An analysis of air quality data from British Columbia has identified the Lower Mainland and surrounding rural areas as one of the regions in Canada where the Canadian Maximum Acceptable Air Quality Objective of 0.082 ppm ozone for one hour is frequently exceeded. Ozone at this level has the potential for affecting crops in the Fraser Valley. Field experiments were undertaken to attempt to evaluate the effect of randomly fluctuating levels of ozone on the yield of two cultivars each of Brassica oleracea L. (broccoli), Phaseolus vulgaris L. (bean), Pisum sativum L. (pea), Daucus carota L. (carrot) in 1985 and on one cultivar each of Solanum tuberosum L. (potato) and Pisum sativum L. (pea) in 1986, using a zonal air pollution system. As there is no current consensus regarding the most appropriate numerical expression of pollutant exposure to use in vegetation response studies, a comparison of various exposure terms was also undertaken. Ozone was added in various proportions to ambient levels between 0700 and 2100 hours (PDT) throughout the growing season. Three levels of ozone addition were used in 1985 and 12 in 1986. In 1985, treatments were assigned to three blocks over which ozone was released. Each block was supplied with different total amounts of supplementary ozone, a fourth block serving as an ambient air control. In 1986, ozone treatments were randomly assigned to four sub-plots on each of the three blocks over which ozone was released, with each block receiving the same total amount of supplementary ozone. Different treatments were achieved by each sub-plot being subject to different rates of release and degrees of mixing. For both years the ozone concentration distributions achieved over the season were approximately log-normal. Additional analysis of the air quality data from the ambient air plot found other types of skewed distributions such as the three parameter Weibull, three parameter gamma and Johnsons SB (four parameter log-normal) provided better descriptions of the data. The distribution providing the best fit depended on the concentration averaging time, the daily time span over which the ozone concentrations are analyzed and the selection criterion used. In 1985, field observations indicated that there were numerous plot to plot differences for disease and soil factors, which were confounded with the ozone treatments applied. Without true replication of the treatments, differentiation between the effects due to ozone and those from abiotic and biotic causes was not possible, and hence no clear conclusions concerning ozone response could be drawn. In 1986, without the confounding of ozone and plot location, significant linear reductions in yield were found for pea and pod fresh weight using the number of days on which the concentration exceeded 25 ppb, during the vegetative growing period (D25²). A significant linear reduction in fresh potato tuber weight was found using the geometric mean of all geometric mean ozone concentrations computed between 1200 and 1259-h for the season (GH12) as the exposure statistic. A significant multiple linear regression was found for pea fresh weight using the D25¹, statistic together with the number of occurrences in which the concentration exceeded 25 ppb for two, three and four consecutive hours (2C25, 3C25 and 4C25 respectively) in an episode; and for pod fresh weight using D25, 2C25 and 3C25 as independent variates. From the results presented it seems clear that ozone at the concentrations dispensed here would have a significant negative impact on crops grown in the Fraser Valley. Based on the 1986 experiment the best case estimate indicates that yield reductions of 28% could be expected for peas and potatoes at 37 ppb ozone (expressed as the season-long 7-h mean, M7). The exposure statistics used in the present study in comparison with the season-long 7 and 12 hour means provided good fits with the data. They are easily calculated from ambient air quality data and present attractive alternatives to those exposure statistics currently in use, for assessing the potential impact of ozone on crops in the Fraser Valley and for use in the setting of air quality standards. / Land and Food Systems, Faculty of / Graduate

The goal of the thesis was to study the indoor air quality measurement focusing on the concentration of carbon dioxide. Within the theoretical part, data mining including basic classification methods and approaches to dimensionality reduction was introduced. In addition, the principles of the developed system within IoTCloud project and available possibilities for measurement of necessary quantities were studied. In the practical part, the suitable sensors for given rooms were selected and long-term measurement was performed. Measured data was used to create the system for window opening detection and for the design of appropriate way of air change regulation in a room. The aim of regulation was to improve air quality using natural ventilation.

Presented thesis deals with the evaluation of air quality in Ostrava industrial area, especially with regard to highly concentrated suspended particles and sorbed on them toxic polyaromatic hydrocarbons. Their above-limit concentrations are the main cause of negative effects on the health of humans and other organisms in one of the most outstanding European "hot- spot"regions, in the industrial agglomeration of Ostrava. The first part of the work is devoted to the evaluation of pollutant concentrations and contributions of identified types of air pollution sources in the wider influence area of a large industrial source in the Ostrava region. It was confirmed the concentrations of all pollutants show very significant inter-seasonal differences between the warm and cold parts of the year. The measured concentrations of PAHs in the cold season were 3 to 5 times higher than in the warm season. Less pronounced differences in concentration levels were seen between day and night samples. The air-pollution load was highest at the Radvanice site, compared to Vratimov and the background area of Poruba. The pollution caused by suspended particles originating from the emissions of the industrial complex in the annual scale contributes significantly to the resulting air quality image on the site, but is not an exclusive source. Other identified sources of the contributions to the PM2.5 concentrations are regional sources and operating seasonally sources (local heating). The second part of the thesis is an assessment of the character and regularities of air mass transmission in the ground-level layer of the troposphere in the Czech-Polish border area, as regional and long-range pollution transport plays a significant role, manifested in the resulting reduced air quality. The contribution of cross-border pollution sources is an important component of often alarming concentrations of atmospheric pollutants, especially during winter smog situations. It was shown within the northeast steady flow is dominated by the shift of higher concentrations of suspended particles from Poland to the Czech Republic. On the other hand, with the opposite prevailing direction of steady flow, particle concentrations on the Polish side of the territory are not increasing dramatically. At least half the year there are situations with variable wind direction, or low flow velocities during which the entire area on both sides of the border there are maximum concentrations of particles, including sorbed polyaromatics with the most serious health effects.

This thesis describes the on-road analysis of criteria air pollutants (CAPs) and volatile organic compounds (VOCs) from a moving vehicle. CAPs and VOCs have numerous direct and indirect effects on the environment and public health and are generated from a variety of point and diffuse sources. The concentration of these pollutants can vary on the scale of metres and seconds due to variable emission rates of sources, meteorology, and the topography of an area. CAPs are conventionally measured on a spatial scale of tens of kilometres and one hour or longer time resolution, which limits the understanding of their impact and leaving many communities lacking information regarding their air quality. VOCs are not measured as frequently as CAPs, owing to the difficulty, challenges, and cost associated with sampling. The Mobile Mass Spectrometry Lab (MMSL) was developed to collect high geospatial (15 – 1,500 m) and temporal (1 – 10 s) resolution measurements of CAPs (O3, NOx, PM2.5), CO2, CH4, and VOCs. CAPs and greenhouse gases were monitored using standard analyzers, while VOCs were measured using a proton-transfer reaction time-of-flight mass spectrometer (PTR-MS). PTR-MS is a real-time, direct, in situ technique that can monitor VOCs in the ambient atmosphere without sample collection. The PTR-MS monitored up to mass-to-charge 330 with a sample integration time of 1 or 10 seconds and had detection limits into the low- to mid-ppt. PTR-MS is a soft ionization technique that is selective to all compounds with a proton affinity less than water, which excludes the atmospheric matrix and includes most VOCs. The measurements provided by the PTR-MS provided a rich dataset for which to develop workflow and processing methods alongside sampling strategies for the collection of high geospatial and temporal VOC data. The first on-road deployment of the MMSL was performed across the Regional District of Nanaimo and the Alberni-Clayoquot Regional District in British Columbia, Canada, from July iv 2018 – April 2019 to monitor the geospatial and temporal variation in the concentration of CAPs and VOCs. VOCs detected in the areas include hydrocarbons like toluene, C2-benzenes, and terpenes, organic acids like acetic acid, oxygenated compounds like acetone and acetaldehyde, and reduced sulfur compounds like methanethiol and dimethyl sulfide. While observed concentrations of VOCs were mostly below detection limits, concentration excursions upwards of 2,200 ppb for C2-benzenes (reported as ethylbenzene) for instance, were observed across the various communities and industries that comprise central Vancouver Island. VOCs like monoterpenes, were observed near the wood industries up to 229 ppb. Combustion related VOCs, like toluene and C2-benzenes, were often observed on major transportation corridors and was found to vary significantly between seasons, with winter measurements often exceeding those made in the summer. Reduced sulfur compounds, common components of nuisance odours, were measured around a few industries like waste management and wood industries. The second on-road deployment of the MMSL focused on the analysis of VOCs in the community around a wastewater treatment plant (WWTP) to identify the source of odours in the area. VOCs were also monitored in the odour control process of the WWTP to identify the VOCs being emitted, how much were emitted, and where potential deficiencies were in the process in a unique study. Median emission rates at the facility for methanethiol, dimethyl sulfide, and dimethyl disulfide were determined to be 100, 19, and 21 kg yr-1, respectively. VOC monitoring in the community encompassed the WWTP and the other major industries in the area, including agricultural land, a composting facility, and a marina. The highest measurements of odorous reduced sulfur compounds were observed around the WWTP, upwards of 36 ppb for methanethiol. Unsupervised multivariate analysis was performed to identify groups of VOCs present and their potential sources. Three groups were identified, one of which was related to reduced sulfur compounds. This group was observed around the WWTP, indicating that the WWTP was the likely source of malodours in the community. / Graduate

Master’s thesis describes design of smart nightstand device. Aim of this system is to monitor and recognize stages of sleep with subsequent transfer of the data to alarm clock to provide the most comfortable awakening. The alarm clock is backed up by batteries. The system controls parameters of surrounding environment using advanced sensors. The device is equipped with a removable light part which is backed up by power supply for illumination during a potential power outage. A pad for wireless charging with standard Qi is also part of this system.

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.