Developing and applying pre-clinical tumour models in order to determine the mechanistic action of applied therapies is essential if we aim to improve antitumour strategies in the clinical setting. The chaotic nature of tumour vasculature impacts directly on the effectiveness of combined chemo-radiotherapy and antiangiogenic (AA) strategies and as such warrants closer study. This work looked at the effects of novel AAs combined with clinically relevant radiotherapy (RT) using both conventional murine xenograft growth delay studies and real-time imaging. The imaging methodology was the non-invasive Dorsal Window Chamber/Intra Vital Microscopy (DWC/IVM) model which allows the study of real-time vascular responses to these therapies. The DWC/IVM model was applied to determine whether the DNA repair inhibitors Nicotinamide, AG14361 and AGO14699 had additional modes of action which could contribute to tumour radioresistance/radiosensitivity. Using the DWC/IVM model a secondary quantifiable mechanistic function was determined where these drugs also increased tumour vessel permeability. The DWC/IVM model was also used to investigate the effects of AZD2171 and AZD6244 combined with radiotherapy. These agents can inhibit angiogenic signalling pathways and it was demonstrated that both drugs worked by reducing tumour microvascular density when used in combination with radiation. In studies looking at the influence of hypoxia inducible factor-1(HIF-1) on tumour response to radiation the DWC/IVM model provided measurable differences in the microvascular density between HIF-1 deficient and HIF-1 competent tumours. The DWC/IVM model allowed the direct visualisation and quantification of the less well developed vasculature in HIF-1 deficient tumours compared to that found in HIF-1 competent tumours. The results provide a mechanistic basis for understanding the improved response to radiotherapy of HIF-1 deficient tumours. By applying the DWC/IVM model to conventional murine xenograft models the DWC/IVM proved itself as a useful research tool where continuous real-time non-invasive measurements could be made without the need for large numbers of time points or laborious histological analysis.

Le modèle de neige est souvent dépendant du modèle hydrologique avec lequel il est couplé, ce qui peut favoriser la représentation du débit au détriment de celle de la neige. L'objectif est de rendre le calage du modèle de neige plus indépendant de celui du modèle hydrologique en restant facilement utilisable en opérationnel. Dans cette optique, un modèle contraint sur des données d'observations de la neige permettrait d'améliorer d'une part la robustesse des paramètres du modèle de neige et d'autre part la simulation de l'état du manteau neigeux. Dans la première partie de cette thèse, nous avons étudié et modifié le modèle degrés-jour semi-distribué CemaNeige afin qu'il puisse simuler de manière plus réaliste la variable de surface d'enneigement du bassin versant. Cette modification, couplée au calage du modèle sur des données de surface enneigée et sur le débit, a permis d'améliorer la simulation de l'enneigement par le modèle sans détériorer significativement les performances en débits. Nous alors ensuite débuté le développement d'un nouveau modèle de neige à l'échelle ponctuelle. Celui-ci se compose d'un modèle de rayonnements, simulant les rayonnements incidents à partir de données d'amplitude de températures journalières, et d'un modèle de manteau neigeux. Le modèle de manteau neigeux résout les équations de la chaleur au sein du manteau neigeux à l'aide d'une représentation spectrale du profil de température. Cette représentation permet de simuler les profils et gradients de températures en utilisant moins de variables d'état qu'une discrétisation verticale par couches. Pour mieux prendre en compte les mesures ponctuelles de neige, ce modèle devra être distribué. / Snow models are often dependent on the hydrological model they are coupled with, which can promote higher performance on runoff simulation at the expense of snow state simulations performances. The objective of this thesis is to make the calibration of the snow model more independent from the calibration of the hydrological model, while remaining easily usable for runoff forecasting. Calibrating snow model on observed snow data would on one hand improve the robustness of the snow model parameters and on the other hand improve the snowpack modelling. In the first part of this manuscript, we modified the semi-distributed CemaNeige degree-day model so that it can explicitly simulate the watershed snow cover area. This modification coupled with the calibration of the model on snow cover area data and on river runoff data significantly improved the simulation of the snow cover area by the model without significantly deteriorating the runoff performances. Then we started the development of a new point scale snow model. It is based on a radiation model, which simulates incoming radiations from daily temperature range data, and a snowpack model. The snowpack model solves the heat equations within the snowpack by using a spectral representation of the temperature profile. This representation simulates the temperature profile and gradients using fewer state variables than a vertical discretization of the snowpack. In order to be able to use point scale snow observations in the model, it should be distributed on the watershed.

Simultaneous solution of the conservation equations for energy and chemical species in conjunction with radiative transfer equation was carried out by coupling a previously developed and tested system model of fluidized bed combustion (FBC) to an existing radiation model. The predictive accuracy of the coupled code was assessed by applying it to 0.3 MWt METU Atmospheric Bubbling Fluidized Bed Combustor (ABFBC) Test Rig burning lignite in its own ash and comparing its predictions with the measured temperatures and concentrations of gaseous species along the combustor and radiative heat fluxes incident on the refractory-lined freeboard walls on two combustion tests, with and without recycle. The predictions of the coupled code were found to be in good agreement with the measurements. For the investigation of the significance of coupling of the radiation model to the system model, temperature predictions of the coupled code were compared with those obtained by the original system model. It was found that the effect of incorporating a radiation model into the system model on the predictions was not significant because the high temperatures of refractory-lined freeboard walls and high surface to volume ratio of the test rig under consideration cause the incident radiative heat fluxes to be dominated by walls rather than the particle laden gas emissions. However, in industrial boilers, freeboard is surrounded by water-cooled membrane walls and boilers have much lower surface to volume ratio. In order to examine the effects of both on radiation in industrial boilers, an investigation was carried out on 16 MWt Stationary Fluidized Bed Boiler (SFBB) by applying radiation model, in isolation from the system model, to the freeboard of the boiler. It was found that in the boiler, incident radiative heat fluxes were dominated by particle laden gas emissions. In brief, the coupled code proposed in this study proves to be a useful tool in qualitatively and quantitatively simulating the processes taking place in an atmospheric fluidized bed boilers.

A estimativa acurada do fluxo de calor radiativo na região próxima à chama do tipo jato não pré-misturada é necessária para garantir a segurança de pessoas e equipamentos em caso de vazamentos ou processo de descarte na indústria de petróleo e gás. A simulação computacional dos fenômenos físicos envolvidos na transferência de calor e combustão do processo tem alto custo computacional. No presente trabalho é apresentado um estudo para o emprego do modelo de múltiplas fontes ponderadas para a estimativa do fluxo de calor radiativo no campo próximo à chama. O modelo matemático simplificado tem baixo custo computacional e consiste em representar a transferência de calor radiativa por fontes pontuais distribuídas no eixo central da chama. Cada fonte tem um peso proporcional à contribuição de cada região discretizada da chama na transferência de calor por radiação. Para determinar o peso de cada fonte foi utilizada a análise inversa pelo método da Otimização Extrema Generalizada, no qual o fluxo de calor é dado de entrada enquanto o peso de cada fonte é dado de saída. Como dado de entrada foi utilizado o fluxo de calor radiativo medido experimentalmente de um conjunto de 12 chamas, com potência entre 0,139 e 0,554 kW. A análise inversa foi utilizada para recuperar os pesos, e a fração radiante, que geram o fluxo de calor radiativo com maior compatibilidade com os dados experimentais em três abordagens. A primeira abordagem consiste em aplicar a análise inversa em cada chama separadamente, e depois de obtidos os pesos correlaciona-los com a potência da chama. Na aplicação do método em cada chama individualmente, o desvio máximo do resultado do modelo com os dados experimentais é de 5%. Em uma segunda abordagem, foi utilizada a análise inversa para obter diretamente os coeficientes de uma função entre os pesos do modelo e a potência da chama e seu comprimento estimado, o desvio máximo encontrado é de 18,6%. Na terceira abordagem, a análise inversa foi utilizada novamente para encontrar os coeficientes da função que correlaciona a potência da chama com parâmetros do modelo, e neste caso foi utilizado o comprimento experimental da chama para posicionar as fontes pontuais. Para o caso em que sete fontes foram posicionadas a 2,25 vezes o comprimento da chama medido experimentalmente, o desvio máximo observado foi de 8,6% e o desvio médio de 2,9%. / The accurate approximation of radiative heat flux on non-premixed flame in the region adjacent to the flame is required to guarantee the staff and machinery safety on oil and gas industry in cases of fuel leaking or disposal process. The physical phenomena involved on heat transfer and combustion has high computational cost in numerical simulation, in accidental leaking cases it is prohibitive. In the present study it is presented an application of Weighted Multi-Point Sources model to predict the radiative heat flux in the region adjacent to the flame. The simplified mathematical model has low computational cost and simulates the radiative heat transfer by punctual sources placed at the flame axis. Each source has the weight proportional to heat transfer contribution by each flame portion. To set each source's weight, it was used the inverse analysis by the Generalized Extremal Optimization. In inverse analysis the radiative heat fluxes are the input data while the weight of each source is the sought variable. As input data are used the radiative heat fluxes measured from a set of 12 flames, with power between 0.139 and 0.554 kW. The inverse analysis was used to recover the weights, and the fraction of heat radiated, which generate radiative heat fluxes with greater compatibility with the experimental data on three approaches. The first approach is to apply the inverse analysis in each flame separately, obtain the weights and then correlates them with the flame power. In method application for each flame, the maximum deviation between model outcome and experimental data was less than 5%. In a second approach, it was used the inverse analysis to directly obtain the coefficients of a function between the model's parameters and the flame’s power. When used just the flame power as model input parameter to distributes the sources and predict the heat flux, the maximum deviation is 18.6%. In the third approach, the inverse analysis was again used to find the coefficients of the function which correlates the flame power with model parameters, in this case was used the experimental flame length for positioning the point sources. For the case in which seven sources are positioned at 2.25 times the experimental length of the flame, the maximum deviation observed was 8.6% and the mean deviation of 2 9%.

A estimativa acurada do fluxo de calor radiativo na região próxima à chama do tipo jato não pré-misturada é necessária para garantir a segurança de pessoas e equipamentos em caso de vazamentos ou processo de descarte na indústria de petróleo e gás. A simulação computacional dos fenômenos físicos envolvidos na transferência de calor e combustão do processo tem alto custo computacional. No presente trabalho é apresentado um estudo para o emprego do modelo de múltiplas fontes ponderadas para a estimativa do fluxo de calor radiativo no campo próximo à chama. O modelo matemático simplificado tem baixo custo computacional e consiste em representar a transferência de calor radiativa por fontes pontuais distribuídas no eixo central da chama. Cada fonte tem um peso proporcional à contribuição de cada região discretizada da chama na transferência de calor por radiação. Para determinar o peso de cada fonte foi utilizada a análise inversa pelo método da Otimização Extrema Generalizada, no qual o fluxo de calor é dado de entrada enquanto o peso de cada fonte é dado de saída. Como dado de entrada foi utilizado o fluxo de calor radiativo medido experimentalmente de um conjunto de 12 chamas, com potência entre 0,139 e 0,554 kW. A análise inversa foi utilizada para recuperar os pesos, e a fração radiante, que geram o fluxo de calor radiativo com maior compatibilidade com os dados experimentais em três abordagens. A primeira abordagem consiste em aplicar a análise inversa em cada chama separadamente, e depois de obtidos os pesos correlaciona-los com a potência da chama. Na aplicação do método em cada chama individualmente, o desvio máximo do resultado do modelo com os dados experimentais é de 5%. Em uma segunda abordagem, foi utilizada a análise inversa para obter diretamente os coeficientes de uma função entre os pesos do modelo e a potência da chama e seu comprimento estimado, o desvio máximo encontrado é de 18,6%. Na terceira abordagem, a análise inversa foi utilizada novamente para encontrar os coeficientes da função que correlaciona a potência da chama com parâmetros do modelo, e neste caso foi utilizado o comprimento experimental da chama para posicionar as fontes pontuais. Para o caso em que sete fontes foram posicionadas a 2,25 vezes o comprimento da chama medido experimentalmente, o desvio máximo observado foi de 8,6% e o desvio médio de 2,9%. / The accurate approximation of radiative heat flux on non-premixed flame in the region adjacent to the flame is required to guarantee the staff and machinery safety on oil and gas industry in cases of fuel leaking or disposal process. The physical phenomena involved on heat transfer and combustion has high computational cost in numerical simulation, in accidental leaking cases it is prohibitive. In the present study it is presented an application of Weighted Multi-Point Sources model to predict the radiative heat flux in the region adjacent to the flame. The simplified mathematical model has low computational cost and simulates the radiative heat transfer by punctual sources placed at the flame axis. Each source has the weight proportional to heat transfer contribution by each flame portion. To set each source's weight, it was used the inverse analysis by the Generalized Extremal Optimization. In inverse analysis the radiative heat fluxes are the input data while the weight of each source is the sought variable. As input data are used the radiative heat fluxes measured from a set of 12 flames, with power between 0.139 and 0.554 kW. The inverse analysis was used to recover the weights, and the fraction of heat radiated, which generate radiative heat fluxes with greater compatibility with the experimental data on three approaches. The first approach is to apply the inverse analysis in each flame separately, obtain the weights and then correlates them with the flame power. In method application for each flame, the maximum deviation between model outcome and experimental data was less than 5%. In a second approach, it was used the inverse analysis to directly obtain the coefficients of a function between the model's parameters and the flame’s power. When used just the flame power as model input parameter to distributes the sources and predict the heat flux, the maximum deviation is 18.6%. In the third approach, the inverse analysis was again used to find the coefficients of the function which correlates the flame power with model parameters, in this case was used the experimental flame length for positioning the point sources. For the case in which seven sources are positioned at 2.25 times the experimental length of the flame, the maximum deviation observed was 8.6% and the mean deviation of 2 9%.

A estimativa acurada do fluxo de calor radiativo na região próxima à chama do tipo jato não pré-misturada é necessária para garantir a segurança de pessoas e equipamentos em caso de vazamentos ou processo de descarte na indústria de petróleo e gás. A simulação computacional dos fenômenos físicos envolvidos na transferência de calor e combustão do processo tem alto custo computacional. No presente trabalho é apresentado um estudo para o emprego do modelo de múltiplas fontes ponderadas para a estimativa do fluxo de calor radiativo no campo próximo à chama. O modelo matemático simplificado tem baixo custo computacional e consiste em representar a transferência de calor radiativa por fontes pontuais distribuídas no eixo central da chama. Cada fonte tem um peso proporcional à contribuição de cada região discretizada da chama na transferência de calor por radiação. Para determinar o peso de cada fonte foi utilizada a análise inversa pelo método da Otimização Extrema Generalizada, no qual o fluxo de calor é dado de entrada enquanto o peso de cada fonte é dado de saída. Como dado de entrada foi utilizado o fluxo de calor radiativo medido experimentalmente de um conjunto de 12 chamas, com potência entre 0,139 e 0,554 kW. A análise inversa foi utilizada para recuperar os pesos, e a fração radiante, que geram o fluxo de calor radiativo com maior compatibilidade com os dados experimentais em três abordagens. A primeira abordagem consiste em aplicar a análise inversa em cada chama separadamente, e depois de obtidos os pesos correlaciona-los com a potência da chama. Na aplicação do método em cada chama individualmente, o desvio máximo do resultado do modelo com os dados experimentais é de 5%. Em uma segunda abordagem, foi utilizada a análise inversa para obter diretamente os coeficientes de uma função entre os pesos do modelo e a potência da chama e seu comprimento estimado, o desvio máximo encontrado é de 18,6%. Na terceira abordagem, a análise inversa foi utilizada novamente para encontrar os coeficientes da função que correlaciona a potência da chama com parâmetros do modelo, e neste caso foi utilizado o comprimento experimental da chama para posicionar as fontes pontuais. Para o caso em que sete fontes foram posicionadas a 2,25 vezes o comprimento da chama medido experimentalmente, o desvio máximo observado foi de 8,6% e o desvio médio de 2,9%. / The accurate approximation of radiative heat flux on non-premixed flame in the region adjacent to the flame is required to guarantee the staff and machinery safety on oil and gas industry in cases of fuel leaking or disposal process. The physical phenomena involved on heat transfer and combustion has high computational cost in numerical simulation, in accidental leaking cases it is prohibitive. In the present study it is presented an application of Weighted Multi-Point Sources model to predict the radiative heat flux in the region adjacent to the flame. The simplified mathematical model has low computational cost and simulates the radiative heat transfer by punctual sources placed at the flame axis. Each source has the weight proportional to heat transfer contribution by each flame portion. To set each source's weight, it was used the inverse analysis by the Generalized Extremal Optimization. In inverse analysis the radiative heat fluxes are the input data while the weight of each source is the sought variable. As input data are used the radiative heat fluxes measured from a set of 12 flames, with power between 0.139 and 0.554 kW. The inverse analysis was used to recover the weights, and the fraction of heat radiated, which generate radiative heat fluxes with greater compatibility with the experimental data on three approaches. The first approach is to apply the inverse analysis in each flame separately, obtain the weights and then correlates them with the flame power. In method application for each flame, the maximum deviation between model outcome and experimental data was less than 5%. In a second approach, it was used the inverse analysis to directly obtain the coefficients of a function between the model's parameters and the flame’s power. When used just the flame power as model input parameter to distributes the sources and predict the heat flux, the maximum deviation is 18.6%. In the third approach, the inverse analysis was again used to find the coefficients of the function which correlates the flame power with model parameters, in this case was used the experimental flame length for positioning the point sources. For the case in which seven sources are positioned at 2.25 times the experimental length of the flame, the maximum deviation observed was 8.6% and the mean deviation of 2 9%.

En las últimas décadas, la investigación en motores de combustión ha estado enfocada fundamentalmente en la reducción de las emisiones contaminantes y la eficiencia de los mismos. Estos hechos junto con un aumento de la concienciación sobre el cambio climático han llevado a un aumento en la importancia de la eficiencia térmica respecto a otros criterios en el diseño de motores de combustión interna (MCIA). Para alcanzar este objetivo, existen diferentes estrategias a aplicar. En concreto, la transferencia de calor a las paredes de la cámara de combustión puede ser considerada como una de las principales fuentes de disminución de la eficiencia indicada. En particular, en los modernos motores diésel de inyección directa, la emisión de radiación de las partículas de hollín puede constituir un componente importante de las pérdidas de eficiencia. En este contexto se enmarca el objetivo principal de la tesis: contribuir a la comprensión de la transferencia de calor por radiación en la combustión diésel de inyección directa junto con la mejora del conocimiento en el proceso de formación-oxidación de hollín. El trabajo se ha basado tanto en resultados experimentales mediante la aplicación de técnicas ópticas en diversas tipologías de motor como en resultados simulados a partir de modelos unidimensionales validados. En la primera parte de resultados experimentales, se ha evaluado la cantidad de energía por radiación respecto a la energía química del combustible mediante la aplicación de una sonda optoelectrónica (basada en la técnica del 2-Colores) tanto en un motor óptico DI como en motor poli-cilíndrico DI de producción. En este estudio se han obtenido valores de intensidad espectral emitida por el hollín y posteriormente, la radiación total emitida por las partículas de hollín en todo el espectro. Como se ha citado anteriormente, las partículas de hollín son las principales responsables de la transferencia de calor por radiación, además de uno de los principales agentes contaminantes emitidos por los motores diésel. Las emisiones de hollín son el resultado de dos procesos antagonistas: la formación y oxidación del hollín. Los mecanismos de formación de hollín se discuten extensamente en la literatura. Sin embargo, existen deficiencias en cuanto al conocimiento de la oxidación de hollín. Por lo tanto, el objetivo de esta sección ha sido evaluar el impacto del proceso de mezcla y la temperatura del gas sobre el proceso de oxidación de hollín durante la última parte de la combustión bajo condiciones reales de operación. Finalmente, y en base a los resultados y conocimientos adquiridos hasta el momento, se ha desarrollado un modelo capaz de predecir las pérdidas de calor por radiación para un chorro diésel. El modelo está basado en tres sub-modelos: modelo de chorro, el cual analiza y caracteriza la estructura interna del chorro en términos de mezcla y combustión en un proceso de inyección con resolución temporal y espacial. Un modelo de hollín, en el que los resultados se justifican en función de procesos de formación y oxidación del hollín. La cohesión de estos dos sub-modelos se utiliza para obtener los valores de entrada al modelo de radiación, con el que se obtiene los valores de transferencia de calor por radiación para una llama diésel. / En els últims anys, la recerca en motors de combustió ha estat focalitzada principalment en la reducció de les emissions contaminants i la millora de la eficiència. Aquests fets afegits al fet del augment de la conscienciació del canvi climàtic han impulsat el interés per incrementar la eficiència tèrmica per damunt de altres criteris en el disseny de motors de combustió interna alternatius (MCIA). Per aconseguir aquest objectiu, existixen diferents estratègies a aplicar. Concretament, la transferència de calor a les parets de la càmera de combustió pot ser considerada un dels principals focs de reducció de eficiència indicada. En particular, en els moderns motors dièsel de injecció directa, la emissió de radiació de les partícules de sutja pot constituir un component important de les pèrdues de eficiència. En aquest context s'emmarca el objectiu principal de la tesis: contribuir a la comprensió de la transferència de calor per radiació en la combustió dièsel de injecció directa i la millora del coneixement del procés de formació-oxidació de la sutja. El treball esta basat tant en resultats experimentals mediant l'aplicació de tècniques òptiques en diverses tipologies de motor com en resultants simulats a partir de models unidimensionals validats. En la primera part dels resultats experimentals, s'ha avaluat la quantitat de energia per radiació respecte a la energia química del combustible mediant la aplicació de una sonda optoelectrònica (basada en la tècnica del 2-Colors) tant en un motor òptic DI com en un motor poli-cilíndric DI de producció en serie. En aquest estudi s'han obtingut valors de intensitat espectral emesa per la sutja i posteriorment, la radiació total emesa per les partícules de sutja en tot el espectre. Com s'ha citat amb anterioritat, les partícules de sutja son les principals responsables de la transferència de calor per radiació, a més de un del principals agents contaminants emès per els motors dièsel. Les emissions de sutja son el resultat de dos processos antagonistes: la formació i la oxidació de sutja. Els mecanismes de formació de sutja es discuteixen àmpliament en la literatura. No obstant això, existeixen deficiències pel que fa al coneixement de l'oxidació de sutja. Per tant, l'objectiu d'aquesta secció ha sigut avaluar l'impacte del procés de mescla i la temperatura del gas sobre el procés d'oxidació de sutja durant l'última part de la combustió sota condicions reals d'operació. Finalment, i en base als resultats i coneixements adquirits fins aquest moment, s'ha desenvolupat un model que permet predir les perdudes de calor però radiació per a un raig dièsel. El model esta basat en tres sub-models: model de raig, el qual analitza i caracteritza la estructura interna del raig en termes de mescla i combustió en un procés de injecció amb resolució temporal i espacial. Un model de sutja, en el qual els resultats es justifiquen en funció del procés de formació i oxidació de la sutja. La cohesió d'aquests dos sub-models s'utilitza per obtindre els valors d'entrada al model de radiació, amb el que s'obté els valors de transferència de calor per radiació per a una flama dièsel. / In the last two decades engine research has been mainly focused on reducing pollutant emissions and increasing efficiency. These facts together with growing awareness about the impacts of climate change are leading to an increase in the importance of thermal efficiency over other criteria in the design of internal combustion engines (ICE). To achieve the objective, there are different strategies to apply. The heat transfer to the combustion chamber walls can be considered as one of the main sources of indicated efficiency diminution. In particular, in modern direct-injection diesel engines, the radiation emission from soot particles can constitute a significant component of the efficiency losses. In this context, the main objective of the thesis is framed: to contribute to the understanding of the radiation heat transfer in DI diesel combustion together with the improvement of the knowledge in the soot formation-oxidation processes. The work has been based on experimental results through the optical technique application in different types of engine and on simulated results from validated one-dimensional models. In the first part of experimental results, the amount of energy lost to soot radiation relative to the input fuel chemical energy has been evaluated by means of the optoelectronic probe application (based on the 2-Color technique) in both an optical engine DI and a production 4-cylinder DI engine. In this study, the values of soot spectral intensity emitted have been obtained and later, the total radiation emitted by the soot particles in the whole spectrum. As mentioned above, soot particles are the main responsible for the radiation heat transfer, in addition to one of the important concern in meeting emissions regulations. Soot emissions are the result of two competing processes: soot formation and soot oxidation. Mechanisms of soot formation are discussed extensively in the literature. However, there are deficiencies in the knowledge of soot oxidation. Therefore, the objective of this section has been to evaluate the impact of mixing process and bulk gas temperature on late-cycle soot oxidation process under real operating conditions. Finally, based on the results and knowledge acquired, a model able to predict heat losses by radiation for a spray diesel has been developed. The model is based on three sub-models: spray model, which analyzes and characterizes the internal spray structure in terms of mixing and combustion process with temporal and spatial resolution. A soot model, in which the results have been justified according to soot formation and oxidation processes. The link of these two sub-models has been used to obtain the input values to the radiation model, which the radiation heat transfer values for a diesel flame are obtained. / Villalta Lara, D. (2018). RADIATION HEAT TRANSFER IN DIRECT-INJECTION DIESEL ENGINES [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/114793 / TESIS

The United States holds the world's largest estimated reserves of coal and is also a net exporter of it. Coal gasification provides a cleaner way to utilize coal than directly burning it. Gasification is an incomplete oxidation process that converts various carbon-based feedstocks into clean synthetic gas (syngas), which can be used to produce electricity and mechanical power with significantly reduced emissions. Syngas can also be used as feedstock for making chemicals and various materials. A Computational Fluid Dynamics (CFD) scheme has been used to simulate the gasification process for many years. However, many sub-models still need to be developed and improved. The objective of this study is to use the improved CFD modeling to understand the thermal-flow behavior and the gasification process and to provide guidance in the design of more efficient and cheaper gasifiers. Fundamental research has been conducted to improve the gasification sub-models associated with the volatile thermal cracking, water-gas-shift (WGS) reaction, radiation effect, low-rank-coal gasification, coal to synthetic-natural-gas (SNG), and ash deposition mechanisms. The improved volatile thermal cracking model includes H2S and COS contents. A new empirical WGS reaction model is developed by matching the result with experimental data. A new coal demoisturization model is developed for evaporating the inherent moisture inside the coal particles during low-rank-coal gasification. An ash deposition model has also been developed. Moreover, the effect of different radiation models on the simulated result has been investigated, and the appropriate models are recommended. Some improved model tests are performed to help modify an industrial entrained-flow gasifier. A two-stage oxygen feeding scheme and a unique water quench design are investigated. For the two-stage oxygen feeding design, both experimental data and CFD predictions verify that it is feasible to reduce the peak temperature and achieve a more uniform temperature distribution in the gasifier by controlling the injection scheme without changing the composition and production rate of the syngas. Furthermore, the CFD simulation can acceptably approximate the thermal-flow and reaction behaviors in the coal gasification process, which can then be used as a preliminary screening tool for improving existing gasifiers’ performance and designing new gasifiers.

Dans la première partie de cette thèse, nous avons mis en place un métamodèle de transmission du paludisme basé sur la modélisation compartimentale susceptible-infecté-résistant (SIR) et prenant en compte les flux de mobilité humaine entre différents villages du Centre Sénégal. Les stratégies d’intervention géographiquement ciblées, s’étaient avérées efficaces pour réduire l’incidence du paludisme aussi bien dans les zones d’intervention qu’à l’extérieur de ces zones. Cependant, des actions combinées ciblant à la fois le vecteur et l’hôte, coordonnées à large échelle sont nécessaires dans les régions et pays visant l’élimination du paludisme à court/moyen terme.Dans la deuxième partie nous avons évalué différentes méthodes d’estimation de la mobilité humaine en l’absence de données individuelles. Ces méthodes incluaient la traçabilité spatio-temporelle des téléphones mobiles ainsi que les modèles mathématiques de gravité et de radiation. Le transport de l’agent pathogène dans l’espace géographique, par la mobilité d’un sujet infecté est un déterminant majeur de la vitesse de propagation d’une épidémie. Nous avons introduit le modèle d’impédance qui minimise l’erreur quadratique moyen sur les estimations de mobilité, en particulier dans les contextes où les ensembles de population sont caractérisés par leurs tailles hétérogènes.Nous avons enfin élargi le cadre des hypothèses sous-jacentes à la calibration des modèles de gravité de la mobilité humaine. L’hypothèse d’une distribution avec excès de zéros a fourni un meilleur ajustement et une meilleure prédictibilité, comparée aux hypothèses classiques n’assumant pas un excès de zéros : Poisson, Quasipoisson. / In the first part of this thesis, we have developed a malaria transmission metamodel based on the susceptible-infected-resistant compartmental modeling framework (SIR) and taking into consideration human mobility flows between different villages in the Center of Senegal. Geographically targeted intervention strategies had been shown to be effective in reducing the incidence of malaria both within and outside of intervention areas. However, combined interventions targeting both vector and host, coordinated on a large scale are needed in regions and countries aiming to achieve malaria elimination in the short/medium term.In the second part we have evaluated different methods of estimating human mobility in the absence of real data. These methods included spatio-temporal traceability of mobile phones, mathematical models of gravity and radiation. The transport of the pathogen through the geographical space via the mobility of an infected subject is a major determinant of the spread of an epidemic. We introduced the impedance model that minimized the mean square error on mobility estimates, especially in contexts where population sets are characterized by their heterogeneous sizes.Finally, we have expanded the framework of assumptions underlying the calibration of the gravity models of human mobility. The hypothesis of a zero inflated distribution provided a better fit and a better predictability, compared to the classical approach not assuming an excess of zeros: Poisson, Quasipoisson.