La digestion anaérobie est utilisée depuis près d’un siècle comme un traitement efficace des déchets organiques. L’intérêt de ce traitement en anaérobie est en essor, car il présente des avantages significatifs sur les traitements alternatifs biologiques et d’autres options d’élimination des déchets. Cette étude se focalise sur l’optimisation du processus de digestion anaérobie en utilisant deux stratégies différentes. La première vise à augmenter la biodégradabilité du substrat par un prétraitement thermique. La seconde technique repose sur l’utilisation d’un système de biofilms pour augmenter le taux de production de biogaz et minimiser la taille du réacteur.Les déchets alimentaires sont principalement utilisés comme substrat modèle de par leur composition, leur abondance et leur renouvellement. Dans ces travaux de thèse, l’influence de la température des prétraitements thermiques sur la solubilisation de la matière organique, ainsi que la production de méthane des déchets alimentaires sous différentes conditions ont été étudié. Une amélioration significative de la solubilisation et de la biodégradabilité des déchets alimentaires ont été observés pour tous les prétraitements thermiques sur les déchets alimentaires comparativement aux déchets non traités. La plus importante amélioration (28%) de la biodégradabilité a été observée pour les déchets alimentaires traités à la plus basse température de prétraitements (80°C). Les résultats montrent une corrélation forte entre le type de substrats (carbohydrate, protéines et teneur en lipides), la température de prétraitement thermique et son efficacité dans l’amélioration de la biodégradabilité.Dans une seconde partie, une opération prolongée d’un système intégré à deux étages, incluant une cuve agitée en continu et un réacteur à biofilm anaérobie a été réalisé pour produire du biohytane (biohydrogène et méthane) à partir de déchets alimentaires. Le réacteur à biofilm anaérobie a été utilisé pour remédier au lessivage de la biomasse du réacteur. La formation d’une biomasse mature et équilibrée a amélioré de façon importante la stabilité du processus, ce dernier n’ayant pas été affecté par un raccourcissement du temps de rétention hydraulique (HRT) de 6 à 3,7 jours dans le premier réacteur, et de 20 à 1,5 jours dans le second réacteur. De plus, le système à deux étages, constitué d’un pilote à l’échelle d’un batch pour la fermentation sombre et d’un réacteur à biofilm anaérobie, coproduisant de l’hydrogène et du méthane à partir de la fraction organique des déchets solide ménagers (OFMSW), a été utilisé afin de déterminer la capacité d’un réacteur à biofilm anaérobie à supporter un choc de charge organique. Les résultats montrent une récupération plus rapide du réacteur à biofilm anaérobie après un évènement de charge organique / Anaerobic digestion (AD) has been used over a century for an effective treatment of organic wastes. Interest in anaerobic treatment is continually increasing since it presents significant advantages when compared to alternative biological treatments and waste disposal options. This research study was mainly focused on optimization of the AD process, that was achieved through two different strategies. The first aimed at increasing the substrate biodegradability by a means of thermal pretreatment. The second was focused on the application of a biofilm based system to improve the biogas production rates and minimize the reactor size.Food waste (FW) was mainly used as a model substrate due to its suitable composition, abundance and renewability. In this thesis the influence of thermal pretreatment temperature on organic matter solubilization and methane yield of FW under different operational conditions was investigated. Significant improvement of the FW solubilization and biodegradability were observed for all thermally pretreated FW compared to the untreated FW. The highest biodegradability enhancement, i.e. + 28 %, was observed for FW treated at the lowest thermal pretreatment temperature, i.e. 80 ⁰C. The results showed a strong correlation between the substrate type (e.g. carbohydrate, protein and lipid content), the thermal pretreatment temperature and its effectiveness in promoting the biodegradability.In the second part of the work, a prolonged operation of an integrated two-stage system, including a continuously stirred tank and an anaerobic biofilm reactor, was carried out to produce biohythane (biohydrogen and methane) from the FW. The anaerobic biofilm reactor was employed to overcome the biomass wash-out from the reactor. The formation of a well-matured and balanced AD biomass greatly improved the process stability, which was not affected by shortening the hydraulic retention time (HRT) from 6 to 3.7 days in the first reactor and from 20 to 1.5 days in the second reactor. Moreover a two-stage system, comprised of a pilot scale batch dark fermenter and an anaerobic biofilm reactor co-producing hydrogen and methane from the organic fraction of municipal solid waste (OFMSW), was used to assess the capability of the anaerobic biofilm reactor to face an organic shock loads. The results showed a faster recovery of anaerobic biofilm reactor performance after the shock load events

In this dissertation we focus on two main topics. Under the first topic, we develop a new framework for stochastic network interdiction problem to address ambiguity in the defender risk preferences. The second topic is dedicated to computational studies of two-stage stochastic integer programs. More specifically, we consider two cases. First, we develop some solution methods for two-stage stochastic integer programs with continuous recourse; second, we study some computational strategies for two-stage stochastic integer programs with integer recourse. We study a class of stochastic network interdiction problems where the defender has incomplete (ambiguous) preferences. Specifically, we focus on the shortest path network interdiction modeled as a Stackelberg game, where the defender (leader) makes an interdiction decision first, then the attacker (follower) selects a shortest path after the observation of random arc costs and interdiction effects in the network. We take a decision-analytic perspective in addressing probabilistic risk over network parameters, assuming that the defender's risk preferences over exogenously given probabilities can be summarized by the expected utility theory. Although the exact form of the utility function is ambiguous to the defender, we assume that a set of historical data on some pairwise comparisons made by the defender is available, which can be used to restrict the shape of the utility function. We use two different approaches to tackle this problem. The first approach conducts utility estimation and optimization separately, by first finding the best fit for a piecewise linear concave utility function according to the available data, and then optimizing the expected utility. The second approach integrates utility estimation and optimization, by modeling the utility ambiguity under a robust optimization framework following \cite{armbruster2015decision} and \cite{Hu}. We conduct extensive computational experiments to evaluate the performances of these approaches on the stochastic shortest path network interdiction problem. In third chapter, we propose partition-based decomposition algorithms for solving two-stage stochastic integer program with continuous recourse. The partition-based decomposition method enhance the classical decomposition methods (such as Benders decomposition) by utilizing the inexact cuts (coarse cuts) induced by a scenario partition. Coarse cut generation can be much less expensive than the standard Benders cuts, when the partition size is relatively small compared to the total number of scenarios. We conduct an extensive computational study to illustrate the advantage of the proposed partition-based decomposition algorithms compared with the state-of-the-art approaches. In chapter four, we concentrate on computational methods for two-stage stochastic integer program with integer recourse. We consider the partition-based relaxation framework integrated with a scenario decomposition algorithm in order to develop strategies which provide a better lower bound on the optimal objective value, within a tight time limit.

The number of flights have increased by 80% between 1990 and 2014, and the demand for air travel continues to increase. Even though the aviation sector contributes to economical and social benefits, it still affects the climate change [1]. A first step to minimize the environmental impact is to develop more electric aircraft (MEA), where the idea is to maximize the use of electricity and improve the overall energy effciency [2]. In most of today's aircraft, large mechanical transmission shafts with a lot of components are driven by central power units, termed centralized drive systems. By the use of electromechanical actuators (EMAs), a distributed drive systems can be used instead, which increases functionality, reduces mass, maintenance and energy consumption, as well as improves manufacturing and assembly [3].  When designing electromechanical actuators, one must take into account a lot of parameters that affect each other in various ways. It is often a time-consuming job to find the most optimal choice of architecture. Parameters such as temperature, load, lifetime and effciency to mention a few. This master thesis offers a new analytical tool for EMAs of primary and secondary flight control systems for Saab Avionics Systems. The aim of the analytical tool is to characterize the parts of the system and identify important parameters in order to find the most optimal choice of architecture. The tool focus on the main mechanical components such as the three-phase synchronous permanent magnet motor, power-off brake, two-stage planetary gearbox and ball screw. The tool developed in this project generates an initial design of the EMA with optimized dimensions in order to minimize both mass and energy consumption. It functions by identifying three main groups of parameters: The input parameters: fixed values defined by the customer demands The design parameters: variables that the user can change to find the optimal choice of architecture The output parameters: resulting values of either performance or dimensions By defining few design parameters for each component, and implementing multidisciplinary design optimization (MDO), the analytical tool can find an optimized solution for each specific project in a time-efficient way. The final values of the parameters characterize the performance of the EMA.

Magisterská práce se zabývá stochastickou optimalizací síťových úloh. Teoretická část pokrývá tři témata - teorii grafů, optimalizaci a progressive hedging algoritmus. V rámci optimalizace je hlavní část věnována stochastickému programování a dvoustupňovému programování. Progressing hedging algoritmus zahrnuje také metodu přiřazování scénářů a modifikaci obecného algoritmu na dvou stupňové úlohy. Praktická část je věnována modelům na reálných datech z oblasti svozu odpadu v rámci České republiky. Data poskytl Ústav procesního inženýrství.

Subject of this thesis is ecologic wastewater treatment with little organic load. Treated wastewater for infiltration must contain low values of nitrogen. This thesis is about to design two-stage subsurface vertical flow constructed wetland.

Při práci s úlohami stochastického programování se často setkáváme s optimalizačními problémy, které jsou příliš rozsáhlé na to, aby byly zpracovány pomocí rutinních metod matematického programování. Nicméně, v některých případech mají tyto problémy vhodnou strukturu, umožňující použití specializovaných dekompozičních metod, které lze použít při řešení rozsáhlých optimalizačních problémů. Tato práce se zabývá dvěma třídami úloh stochastického programování, které mají speciální strukturu, a to dvoustupňovými stochastickými úlohami a úlohami s pravděpodobnostním omezením, a pokročilými dekompozičními metodami, které lze použít k řešení problému v těchto dvou třídách. V práci popisujeme novou metodu pro tvorbu “warm-start” řezů pro metodu zvanou “Generalized Benders Decomposition”, která se používá při řešení dvoustupňových stochastických problémů. Pro třídu úloh s pravděpodobnostním omezením zde uvádíme originální dekompoziční metodu, kterou jsme nazvali “Pool & Discard algoritmus”. Užitečnost popsaných dekompozičních metod je ukázána na několika příkladech a inženýrských aplikacích.

The thesis is focused on the proposal of production of a stamped part of the uni-axial rod located in the axle of the truck. The uni-axial rod is made of materiál S420MC with thicknes of 4 mm and the planned series production is 84 000 pieces per year for 7 years. The most difficult point for production is a collar, which create support of the bushing. It is not posibble to produce a required height with conventional one-stage process, which was experimentally verified. In the programm PAM-STAMP there was designed multiple-stage process of the production with the use of numerical simulation. The progressive die was designed for this process of the production. Maximal load of a forming press is 5 057 kN. Production will be located on the forming press Kaiser 8000-50-F5-RKM by ANDRITZ Metals. Maximum force of the forming press is 8 000 kN.

This master thesis summarizes the basic knowledge in the field of turbocharging of internal combustion piston engines. It also focuses on the analysis of some properties of multistage turbocharging, especially for diesel engines. Using analytical relationships, a model in the form of a web application has been created, which describes the cooperation of a turbocharger or turbochargers with an internal combustion engine. With the help of this model, some two-stage supercharging options for the selected engine have been then proposed.

This thesis deals with electricity, heat and cold production and describes ways of their simultaneous production – trigeneration. The main intention is to describe the ways of cooling the A1 building which is used by The Faculty of Mechanical Engineering. There is a Vapor compression cycle, a One stage absorption cycle and a Two stage compression cycle designed for cooling A1 building. This thesis includes suggestion for suitable commercial units for the purpose of cooling and a comparison of their running costs. An economic analysis is also included. Another part of the thesis is the design of a one stage absorption cycle connected to cogeneration units placed in The Faculty of Mechanical Engineering campus. The condenser of this cycle is also designed.

Optimalizace toku v síti je klasickou aplikací matematického programování. Tyto modely mají, mimo jiné, široké uplatnění také v logistice, kde se tak snažíme docílit optimálního rozdělení dopravy, např. vzhledem k maximalizaci zisku, či minimalizaci nákladů. Toto pojetí ovšem často problém idealizuje, poněvadž předpokládá existenci jediného rozhodovatele. Takový přístup je možný ve striktně organizovaných sítích jako např. v logistických sítích přepravních společností, železničních sítích či armádním zásobování. Úloha ''Traffic Assignment Problem'' (TAP) se zaměřuje na dopady teorie her na optimalizaci toku, tj. zkoumá vliv více rozhodovatelů na celkové využití sítě. V práci se zaobíráme úlohou TAP s působením náhodných vlivů, k čemuž využíváme metod stochastické a vícestupňové optimalizace. Dále zkoumáme možnosti zlepšení stávajícího využití sítě za rozhodnutí autoritativního rozhodovatele, kterému je umožněn zásah do samotné struktury sítě, k čemuž využíváme víceúrovňové programování.