Předkládaná disertační práce je zaměřena na \uv{Modelování propagačního kanálu pro off-body komunikaci v oblasti milimetrových vln}. Navzdory pokrokům v rámci bezdrátových sítí v přímé blízkosti člověka stále systémy 5. generace postrádají dostatečnou šířku pásma a dostatečně nízkou odezvu. To je způsobeno neefektivním využíváním rádiového spektra. Tento nedostatek je potřeba co nejdříve odstranit a právě z tohoto důvodu je hlavním cílem této práce navrhnout vylepšený model rádiového kanálů pro off-body komunikaci. Úkolem tohoto modelu je umožnit uživatelům efektivněji a přesněji simulovat propagaci signálu v rámci daného prostředí. Navržený model je dále optimalizován a ověřen vůči nejnovějším měřením, získaným z literatury. Nakonec je tento model implementován do simulačního nástroje NS-3, pomocí kterého je následně využit k simulaci množství scénářů. Hlavním výstupem této práce je ověřený model přenosového kanálu pro off-body komunikaci v rámci milimetrových vln, společně s jeho implementací do simulačního nástroje NS-3, díky čemuž je dostupný pro širokou veřejnost.

Certainly one of the most powerful and important modeling languages of our time is the Calculus. But research consistently shows that students do not understand how the variables in calculus-based mathematical models relate to aspects of the systems that those models are supposed to represent. Because of this, students never access the true power of calculus: its suitability to model a wide variety of real-world systems across domains. In this paper, we describe the motivation and theoretical foundations for the DeltaTick and HotLink Replay applications, an effort to address these difficulties by a) enabling students to model a wide variety of systems in the world that change over time by defining the behaviors of that system, and b) making explicit how a system\''s behavior relates to the mathematical trends that behavior creates. These applications employ the visualization and codification of behavior rules within the NetLogo agent-based modeling environment (Wilensky, 1999), rather than mathematical symbols, as their primary building blocks. As such, they provide an alternative to traditional mathematical techniques for exploring and solving advanced modeling problems, as well as exploring the major underlying concepts of calculus.

Stimuli-sensitive hydrogels are polymeric materials, which are able to reversibly swell in water in response to evironmental changes. Relevant stimuli include variations of pH, temperature, concentration of specific ions etc. Stacked layers composed of multiple thin hydrogels - also referred to as hydrogel-layer composites - combine the distinct sensing properties of different hydrogels. This approach enables the development of sophisticated micro uidic devices such as bisensitive valves or uid-sensitive de ectors. In order to numerically simulate the swelling of a polyelectrolyte hydrogel in response to an ion concentration change the multifield theory is adopted. The set of partial differential equations - including the description of the chemical, the electrical and the mechanical field - are solved using the Finite Element Method. Simulations are carried out on a twodimensional domain in order to capture interactions between the different fields. In the present work, the ion transport is governed by diffusive and migrative uxes. The distribution of ions in the gel and the solution bath result in an osmotic pressure difference, which is responsible for the mechanical deformation of the hydrogel-layer composite. The realized numerical investigation gives an insight into the evolution of the displacement field, the distribution of ions and the electric potential within the bulk material and the interface between gel and solution bath. The predicted behavior of the relevant field variables is in excellent agreement with results available in the literature.

<p>Све обимнија индустријализација која је одговор на захтеве потрошачког друштва, велики је експлоататор ресурса и генератор, поред жељеног производа и великих количина отпадних токова. У највећем број случајева индустријски ефлуенти бивају испуштени у природне реципијенте јер већ њихова примарна обрада изискује додатна улагања. Развојем технике и технологије омогућена је примена биопроцеса у ову сврху, али само искоришћење отпадних вода као сировине за биотехнолошку производњу обећава симултану заштиту животне средине и економску добит, односно представља решење проблема које је одрживо.<br />У оквиру истраживања која су обухваћена овом докторском дисертацијом доказана је могућности примене отпадних вода прехрамбене индустрије као основе култивационог медијума у биотехнолошкој производњи биополимера ксантана. Полазни корак за индустријализацију предложеног поступка је развој симулационог модела који у највећој мери треба да опише реалну ситуацију у материјалном, енергетском, еколошком и економском смислу. Реализација оваквог циља захтева познавање узрочно-последичне везе између метаболичке активности примењеног биокатализатора и процесних услова међу којима је веома значајан састав култивационог медијума.<br />У ту сврху извршена је карактеризација 18 отпадних вода које припадају различитим гранама преграмбене индустрије и потврђена могућност њихове примене као основе култивационог медијума за биотехнолошку производњу ксантана. Експериментално је потврђена могућност производње ксантана на овим ефлуентима применом производног микроорганизма Xanthomonas campestris ATCC 13951, извођењем биопроцеса у биореактору стандардних геометријских односа, запремине 2 l. Оптимизација састава култивационог медијума са отпадним водама одабраних грана прехрамбене индустрије, у погледу најзначајнијих нутријената и са циљем добијања што већег садржаја жељеног производа, изведена је применом методе жељене функције. У наставку истраживања, дефинисана је кинетика биосинтезе ксантана у биореактору запремине 7 l, а добијени кинетички модели за умножавање биомасе (логистичка једначина), настајање производа (Luedeking-Piret-ова једначина) и потрошњу извора угљеника (модификована Luedeking-Piret-ова једначина)) су искоришћени за развој симулационог модела биопроцеса производње ксантана применом ефлуената прехрамбене индустрије.<br />Генерисаним симулационим моделом производње ксантана применом отпадних ефлуената различитих грана прехрамбене индустрије су предвиђени првенствено процесни, а потом и економски показатељи овог биотехнолошког процеса. Са технолошког аспекта, резултати ових истраживања представљају поуздан извор информација за дефинисање идејног решења предложеног биопроцеса који је основа за израду главног технолошког пројекта.</p> / <p>Sve obimnija industrijalizacija koja je odgovor na zahteve potrošačkog društva, veliki je eksploatator resursa i generator, pored željenog proizvoda i velikih količina otpadnih tokova. U najvećem broj slučajeva industrijski efluenti bivaju ispušteni u prirodne recipijente jer već njihova primarna obrada iziskuje dodatna ulaganja. Razvojem tehnike i tehnologije omogućena je primena bioprocesa u ovu svrhu, ali samo iskorišćenje otpadnih voda kao sirovine za biotehnološku proizvodnju obećava simultanu zaštitu životne sredine i ekonomsku dobit, odnosno predstavlja rešenje problema koje je održivo.<br />U okviru istraživanja koja su obuhvaćena ovom doktorskom disertacijom dokazana je mogućnosti primene otpadnih voda prehrambene industrije kao osnove kultivacionog medijuma u biotehnološkoj proizvodnji biopolimera ksantana. Polazni korak za industrijalizaciju predloženog postupka je razvoj simulacionog modela koji u najvećoj meri treba da opiše realnu situaciju u materijalnom, energetskom, ekološkom i ekonomskom smislu. Realizacija ovakvog cilja zahteva poznavanje uzročno-posledične veze između metaboličke aktivnosti primenjenog biokatalizatora i procesnih uslova među kojima je veoma značajan sastav kultivacionog medijuma.<br />U tu svrhu izvršena je karakterizacija 18 otpadnih voda koje pripadaju različitim granama pregrambene industrije i potvrđena mogućnost njihove primene kao osnove kultivacionog medijuma za biotehnološku proizvodnju ksantana. Eksperimentalno je potvrđena mogućnost proizvodnje ksantana na ovim efluentima primenom proizvodnog mikroorganizma Xanthomonas campestris ATCC 13951, izvođenjem bioprocesa u bioreaktoru standardnih geometrijskih odnosa, zapremine 2 l. Optimizacija sastava kultivacionog medijuma sa otpadnim vodama odabranih grana prehrambene industrije, u pogledu najznačajnijih nutrijenata i sa ciljem dobijanja što većeg sadržaja željenog proizvoda, izvedena je primenom metode željene funkcije. U nastavku istraživanja, definisana je kinetika biosinteze ksantana u bioreaktoru zapremine 7 l, a dobijeni kinetički modeli za umnožavanje biomase (logistička jednačina), nastajanje proizvoda (Luedeking-Piret-ova jednačina) i potrošnju izvora ugljenika (modifikovana Luedeking-Piret-ova jednačina)) su iskorišćeni za razvoj simulacionog modela bioprocesa proizvodnje ksantana primenom efluenata prehrambene industrije.<br />Generisanim simulacionim modelom proizvodnje ksantana primenom otpadnih efluenata različitih grana prehrambene industrije su predviđeni prvenstveno procesni, a potom i ekonomski pokazatelji ovog biotehnološkog procesa. Sa tehnološkog aspekta, rezultati ovih istraživanja predstavljaju pouzdan izvor informacija za definisanje idejnog rešenja predloženog bioprocesa koji je osnova za izradu glavnog tehnološkog projekta.</p> / <p>Increasing industrialization as a response to the demands of the consumer society greatly exploits resources and generates large amounts of waste effluents in addition to the desired product. In most cases industrial effluents are discharged into the natural environment because even their primary processing requires additional investments. The development of biotechnology has enabled bioprocesses to be used for this purpose, and using wastewaters as raw materials for biotechnological production simultaneously provides preservation of the environment and economic benefits which is a sustainable solution to the problem.<br />Within the research covered in this doctoral thesis it was proven it is possible to use food and beverage industry wastewaters as a basis for the cultivation media in the biotechnological production of xanthan. The starting step in industrializing the suggested process is to develop a simulation model which best represents the realistic situation and its material, energy, environmental and economic aspects. Realizing this goal requires the author/researcher to be familiar with the causal link between the metabolic activity of the used biocatalyst and process conditions among which the composition of the cultivation media is very significant.<br />In order to accomplish this goal, 18 wastewaters from different branches of the food and beverage industry were characterized and were confirmed to have the capability to be used as a cultivation media for the biotechnological production of xanthan. Experiments confirmed the possibility of producing xanthan on these effluents using the production microorganism Xanthomonas campestris ATCC 13951 in a 2 liter bioreactor of standard geometric characteristics. Composition of the cultivation media based on the wastewaters of the selected food and beverage industry branches was optimized using the desirability function method, focusing on the most significant nutrients and with the goal of obtaining the maximum amount of the desired product. In further research, the kinetics of xanthan biosynthesis in a 7 liter bioreactor were defined, and the obtained kinetic models for biomass multiplication (logistic equation), product formation (Luedeking-Piret equation) and carbon source consumption (modified Luedeking-Piret equation) were used to develop a simulation model of the xanthan production bioprocess using food and beverage processing industry effluents.<br />The generated simulation model of xanthan production using waste effluents of different branches of the food and beverage industry predicts primarily the process but also the economic indicators of this biotechnological process. From a technological perspective, the results of this research represent a reliable source of information for defining a general design of the suggested bioprocess as a basis for the creation of a major biotechnological project.</p>

During the last 30 years considerable attention was paid to open systems far from thermal equilibrium. Under certain conditions these dissipative systems show a qualitatively new behavior on macroscopic length scales, which are known as spatiotemporal structures. These new structures arise as a feature of collective behavior of a many-body systems. One particular example of dissipative systems considered in the present Thesis is the systems with reactant birth and death. Such systems arise, e.g., in description of the population growth or the kinetics of chemical reactions. To describe the systems with a large number of particles, one has to impose some restrictions. So, it is assumed that individual properties of particles are not important, only their interaction and interaction result (reaction) are taken into account. A number of rules, which describe the behavior of particles on the microscopic level, are known as a mathematical model. There exist two methods to analyze properties of a mathematical model. The first is analysis based on the master equation. In general, this method fails to describe the properties of spatiotemporal structures. There are no analytical approximations taking into account the effect of long-range particle correlation, which is important for description of the changes on a macroscopic range. The second approach are Monte Carlo (MC) computer simulations, which actually is alternative to experiments. The MC method takes into account long-range reactant correlations. They arise as a result of microscopical model. MC has disadvantages typical for all numerical methods, e.g., a large simulation time. In the present Thesis the Lotka-type and the A+B->0 models are considered in detail. These reactions are commonly found as one of a component in many chemical reactions. The emphasis is made on understanding the basic properties of these models. Further, several physically important modifications of the Lotka-type and the A+B->0 models are made. Firstly, in Chapter 1. the Lotka-type model is extended to investigate the resonance properties. Secondly, the effect of reactant diffusion and interaction is incorporated into Lotka-type model in Chapter 2. Thirdly, the standard A+B->0 reaction is extended to the case of surface reconstruction in Chapter 3. General conclusion is presented at the end of the Thesis, which is ended by four Appendices.

Du fait de la flexibilité énergétique qu'ils offrent et de leur potentiel de diminution des émissions de GES et de polluants, les réseaux de chaleur (RdC) sont un des leviers d'actions des politiques énergétiques locales en constante progression. Leur déploiement et/ou rénovation n'est pas qu'une question technico-économique classique, dans la mesure où ils sont au cœur d'un ensemble d'acteurs interconnectés, aux objectifs spécifiques, tous parties prenantes des politiques énergétiques locales. Dans ce contexte, les outils permettant à ces différents acteurs l'évaluation des actions liées aux RdC sont très importants. Ils doivent permettre l'évaluation de scénarios de conception, d'actions de rénovation, de performance et de suivi... Parmi les outils permettant ces évaluations, les approches par modélisation sont souvent trop spécifiques à une situation, un type de réseau un acteur... Le travail réalisé consiste à développer un outils de modélisation de RdC, offrant la flexibilité recherchée. "HeatGrid" permet de modéliser des architectures de réseaux variées. A chaque pas de temps, le fonctionnement du réseau est simulé grâce au formalisme de la programmation linéaire. Cet outil peut être utilisé en phase de conception ou d'exploitation d'un réseau. L'approche de modélisation permet d'évaluer et de comparer sous les aspects économiques, énergétiques et techniques d'un RdC sous différents scénarios. Plusieurs exemples sont simulés et analysés dans le but d'illustrer le potentiel du modèle. / Because of the energy flexibility that they offer and their potential to reduce GHG emissions, disctrict heating (DH) networks are a tool of local energy policies in constant progression. Their develpment and/or renovation is not only a classic technico-economical question, insofar as interconnected stakeholders of local energy policies, taking into account specific objectives, are concerned by DH networks. In this context, tools which enable these different stakeholders to evaluate actions related to DH networks are essential. They must be helpful for the assessment of renovation actions, the monitoring and the evaluation of performances....Among the tools that allow theses evaluations, the modelling approaches are often too specific to a situation, a type of network, a stakeholder... The work of the thesis consists in developing a DH modeling tool that has this desired flexibility. The proposed tool "HeatGrid" can model various network architectures. At each time step, the network running is simulated via linear programming formalism. This tool can be applied either at the design stage of a DH or at the operating stage. The model based approach enables the evaluation and comparison of economic, energy and technical aspects of the DH system in different scenarios. Several examples are simulated and analyzed in order to illustrate the potential of the model.

In the opening part of this master´s thesis there is given concept, description, usage and advantages of micro hybrid grids in comparison to micro grids and there are evolution steps towards hybrid grid. There is also a mention about economics of operation of these grids. In the second part of this thesis there are descriptions of devices that are suitable for usage in micro hybrid grids with emphasis on generators and accumulation possibilities. In the next part of this thesis there is given an approach and description for modeling of various components of hybrid grids in PSCAD environment. In the next part of this thesis there are given simulation results that were conducted on created model. Especially power balance in 24 hour operation of the grid with method for determining suitable size of accumulation and installed capacity of photovoltaics. And next there are showed responses from change of power from photovoltaics, next there is a transition to islanded mode and last there is showed the behavior of converter when the limits of accumulation are reached. In the final part of this thesis there are conclusions, fulfillment of goals of this thesis and possibilities of further study.

Nasslaufende Lamellenkupplungen finden im Automobil immer mehr Anwendungen. Im Bezug auf die steigenden Motorleistungen, die Gewichtsoptimierungsmaßnamen und die hohen Ansprüche an Fahrdynamik nimmt die geforderte Leistungsdichte einer nasslaufenden Lamellenkupplung ständig zu. Die Lamellenkupplung wird oft nahe an ihrer Belastungsgrenze ausgelegt. Außerdem wachsen gleichzeitig die Anforderungen an ihre Schaltdynamik, das Komfortverhalten und die Lebensdauer. Schwerpunkt dieser Arbeit ist die Modellierung und Simulation von Reibung und Verschleiß nasslaufender Lamellenkupplungen, insbesondere der mit dem Papierreibbelag. Ein umfassendes Verständnis für die Reibungsvorgänge und Verschleißmechanismen stellt die Grundvoraussetzung für eine optimale Entwicklung der nasslaufenden Lamellenkupplung dar. Zur Lösung der gestellten Aufgabe werden die wichtigsten Einflussgrößen auf das tribolgische System der Lamellenkupplung charakterisiert und die Wirkungen der tribologischen Beanspruchungsgrößen identifiziert. Zudem werden verschiedene Simulationsmodelle mit unterschiedlicher Modellierungstiefe erstellt. Dazu gehören Reibmodelle, Wärmeflussmodelle sowie Lebensdauermodelle, wobei die Reib- und Wärmeflussmodelle für die Lebensdauermodelle benötigt werden. Die hergeleiteten Modelle werden in die Simulationsumgebung implementiert und mit Hilfe eines Prüfstandsversuches verifiziert. Die validierten Modelle können für die Systemoptimierung und die Lebensdauerabsicherung der nasslaufenden Lamellenkupplungen effizient eingesetzt werden. Dies kann eine deutliche Reduktion der Entwicklungszeit sowie der Versuchskosten ermöglichen.

Batteries are promising sources of green and sustainable energy that have been widely used in various applications. Lithium-ion batteries (LIBs) have an important role in the energy storage sector due to its high specific energy and energy density relative to other rechargeable batteries. The main challenges for keeping the LIBs to work under safe conditions, and at high performance are strongly related to the battery thermal management. In this study, a critical literature review is first carried out to present the technology development status of the battery thermal management system (BTMS) based on air and liquid cooling for the application of battery energy storage systems (BESS). It was found that more attention has paid to the BTMS for electrical vehicle (EV) applications than for stationary BESS. Even though the active forced air cooling is the most commonly used method for stationary BESS, limited technical information is available. Liquid cooling has widely been used in EV applications with different system configurations and cooling patterns; nevertheless, the application for BESS is hard to find in literature.To ensure and analyze the performance of air and liquid cooling system, a battery and thermal model developed to be used for modeling of BTMS. The models are based on the car company BMW EV battery pack, which using Nickel Manganese Cobalt Oxide (NMC) prismatic lithium-ion cell. Both air and liquid cooling have been studied to evaluate the thermal performance of LIBs under the two cooling systems.According to the result, the air and liquid cooling are capable of maintaining BESS under safe operation conditions, but with considering some limits. The air-cooling is more suitable for low surrounding temperature or at low charging/discharge rate (C-rate), while liquid cooling enables BESS to operate at higher C-rates and higher surrounding temperatures. However, the requirement on the maximum temperature difference within a cell will limits the application of liquid cooling in some discharge cases at high C-rate. Finally, this work suggests that specific attention should be paid to the pack design. The design of the BMW pack is compact, which makes the air-cooling performance less efficient because of the air circulation inside the pack is low and liquid cooling is more suitable for this type of compact battery pack.

The ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS) was held from 8-10 September 2014 in Newport, Rhode Island. The scope of the Conference covers intelligent, flexible, adaptive materials and systems that respond to changes in the environment to perform in the most profitable way. Scientific strides and technological maturity in the field are linked to the interdisciplinary efforts at universities, government and industry. SMASIS aims at assembling world experts across engineering and scientific disciplines such as mechanical, aerospace, electrical, materials, and civil engineering, as well as biology, physics and chemistry, to discuss the latest findings and trends in this fruitful area of research.