This master's thesis pertains to designing a new heating system in secondary grammar school's building in the city of Vlašim. The old heating system is going to be replaced completely for a new system consisting of panel radiators and distribution piping network made of copper. Thesis includes technical description of old heating system and building itself, calculating of suggested heat efficiency using calculation software TechCON, selection of new panel radiators and appropriate dimensions of piping network , calculation and regulation of pressure losses, description of heat source and inspection of its safety components - expansion vessel and safety valve, determination of system for measurement and regulation as well as calculation of equithermal curves of this system. Last but not least total usage of heat is calculated. Blueprints of heating system are included as well.

The thesis disserts upon computational modelling of valve train mechanical losses, finding the appropriate method of solving and its application on valve gear in Diesel in-line four-cylinder engine. The thesis further disserts upon proposition of appropriate adjustments leading to the reduction of mechanical losses. The calculation was performed in MBS software ADAMS.

This master's thesis deals with the determination of mechanical losses in the valvetrain of the combustion engine. It describes the computational and experimental methods of determining the mechanical losses of valve mechanism. The practical part of the thesis focuses on the programing of structures in Matlab. This application calculates the values of mechanical losses of valvetrain and displays their graphical representation. This program is used for computing the mechanical losses of the selected real engine.

Purpose: The purpose of this study was to plan blueprints for a school located Härbregatan and Vallby Skolgata in Västerås with a focus on energy losses and window placement to choose the most suitable types of windows to obtain a good internal environment. Method: The methodology used to conduct this thesis was based on earlier case studies, literature book and literature reviews in the form of legal specification from Boverket Byggregel (BBR) that had a significant impact on how the school was designed, interior and exterior views. Results: The study demonstrated how important window types and selection was for the students and the teachers occupying the classrooms because windows are a vital source of light, energy and encouragement due to the daylight. Larger windows minimize the need for electrical lighting but increases the risk of energy loss due to inadequate insulation resulting in an impact on the indoor environment and causing a higher energy usage. The size of the window also has an impact on specific transmission losses, thermal bridges, heat losses and as well as the solar radiation passing through the glass, according to this study. Conclusions: The study came to the conclusion that while windows have a significant role in these aspects, additional aspects that include the size of walls, doors, floors and ceiling also play an essential part. Larger windows lead to increased transmission losses and thermal bridges, but at the same time it lets in more daylight and sunlight in the form of heat energy, therefore larger windows are a better choice to use in the school building.

A sound banking system is essential to a well-functioning economy. With the financial crisis beginning in 2007, a renewed interest in the safety of financial institutions has dominated both the political and financial landscape. Mounting loan losses in real estate lending led to the failing of over 460 banks from 2008 to 2012. This crisis is not unique; in fact, the Savings & Loan Crisis of the 1980's to early 1990's led to the closure of 700 savings institutions. Both instances created a panic in financial markets and heavy losses to deposit insurance funds. These losses are ultimately borne by taxpayers and prudently managed banks, especially if the insurance fund requires re-capitalization. The focus of this paper is on explaining the contributing factors to different categories of loan losses. Namely, total loan losses, residential real estate loan losses, commercial real estate loan losses, and commercial and industrial loan losses are examined. A multivariate regression approach is taken in this paper to explain the four rates of loan losses for the period of 2001 to 2012. Aggregate macroeconomic data from 2001 to 2012 is used to explain loan losses across categories. It was found that the delinquency rate of loans, the consumer financial obligations ratio, and the financial crisis were all significant factors in explaining loan losses.

The main purpose of the thesis Automatic measurement of induction machine using LabVIEW was to develope an automated measuring system, which is used to perform tests of induction motors. The algorithm of the system is programmed in LabVIEW. In the practical part of this thesis, a measurement of the motor Atas Elektromotory Náchod a.s. T22VT512 is carried out, in order to verificate functions of the algorithm, and to perform tests of the motor to analyse losses. Another part of the work is dedicated to the electromagnetic calculation of the motor T22VT512. For this purpose, two softwares with different principles of calculation have been used. Firstly, the calculation is solved by an analytical based software called RMxprt. Secondly, the software Maxwell 2D is used to make the calculation of electric and magnetic fields by the finite element method.

Este trabalho tem por objetivo apresentar e discutir alguns modelos para cálculo de perdas técnicas e não técnicas em sistemas de distribuição, considerando diversas alternativas em função da disponibilidade de dados. A discussão é de fundamental importância, na medida que o setor elétrico passa a enfrentar novos desafios, tais como o cálculo de redes de baixa tensão com cadastro incompleto e o cálculo de perdas não técnicas com sua respectiva parcela de perdas técnicas. Para o cálculo das perdas em redes de baixa tensão com cadastro incompleto, duas situações são consideradas. Na primeira, a rede é conhecida, porém não se conhece a localização de seus consumidores. Na segunda situação, também a rede é desconhecida. Neste último caso, para superar o problema de ausência de informações, são utilizadas técnicas de classificação para definir um conjunto de padrões de redes típicas e posterior associação de cada rede a um padrão previamente estabelecido. Também são utilizados alguns modelos de distribuição da carga e a consideração de incertezas é contemplada a partir de números difusos. Para calcular as perdas não técnicas com sua respectiva parcela de perdas técnicas, propõe-se um método para corrigir a energia faturada dos consumidores a partir do conhecimento da energia medida e das perdas técnicas calculadas. Uma extensão desse método ainda permite calcular as perdas de forma rápida e sem grandes esforços computacionais (método expedito), partindo do resultados de um cálculo realizado com um método convencional. Todos os modelos propostos são aplicados a redes de distribuição reais. Os resultados obtidos são analisados e comparados a valores de referência e é discutida a aplicabilidade dos modelos, bem como suas respectivas faixas de validade. / This work aims at presenting and discussing some models for calculating technical and non-technical losses in distribution systems. The proposed methods comprise several possibilities depending on the available data. This discussion is very important since the electric sector faces new challenges, such as technical loss estimation in low voltage networks with incomplete data. The evaluation of non-technical losses is also herein discussed. Regarding loss estimation with incomplete data, two conditions are considered. In the first one, the network data is known, but the customers location are unavailable. In the second one, the network data is not completely known as well. In this latter condition, in order to overcome the lack of sufficient data, classification techniques are used to establish a set of typical network patterns and to associate each network to a previously established pattern. Some load distribution models are also used and the uncertainties are considered by the use of fuzzy sets. In order to estimate the non-technical losses and their related technical losses, a method to adjust the billed energy in all customers is proposed. This is accomplished by using the computed technical losses and the measured energy at the substation site. This method also makes possible the assessment of technical losses in a quick way with a low computational effort (fast method). Such method is accomplished by using the results of a calculation previously performed using the conventional method. All the proposed methods are applied to real distribution networks. The obtained results are discussed and compared to the results obtained with the conventional method. The applicability of each model is also discussed.

Este trabalho tem por objetivo apresentar e discutir alguns modelos para cálculo de perdas técnicas e não técnicas em sistemas de distribuição, considerando diversas alternativas em função da disponibilidade de dados. A discussão é de fundamental importância, na medida que o setor elétrico passa a enfrentar novos desafios, tais como o cálculo de redes de baixa tensão com cadastro incompleto e o cálculo de perdas não técnicas com sua respectiva parcela de perdas técnicas. Para o cálculo das perdas em redes de baixa tensão com cadastro incompleto, duas situações são consideradas. Na primeira, a rede é conhecida, porém não se conhece a localização de seus consumidores. Na segunda situação, também a rede é desconhecida. Neste último caso, para superar o problema de ausência de informações, são utilizadas técnicas de classificação para definir um conjunto de padrões de redes típicas e posterior associação de cada rede a um padrão previamente estabelecido. Também são utilizados alguns modelos de distribuição da carga e a consideração de incertezas é contemplada a partir de números difusos. Para calcular as perdas não técnicas com sua respectiva parcela de perdas técnicas, propõe-se um método para corrigir a energia faturada dos consumidores a partir do conhecimento da energia medida e das perdas técnicas calculadas. Uma extensão desse método ainda permite calcular as perdas de forma rápida e sem grandes esforços computacionais (método expedito), partindo do resultados de um cálculo realizado com um método convencional. Todos os modelos propostos são aplicados a redes de distribuição reais. Os resultados obtidos são analisados e comparados a valores de referência e é discutida a aplicabilidade dos modelos, bem como suas respectivas faixas de validade. / This work aims at presenting and discussing some models for calculating technical and non-technical losses in distribution systems. The proposed methods comprise several possibilities depending on the available data. This discussion is very important since the electric sector faces new challenges, such as technical loss estimation in low voltage networks with incomplete data. The evaluation of non-technical losses is also herein discussed. Regarding loss estimation with incomplete data, two conditions are considered. In the first one, the network data is known, but the customers location are unavailable. In the second one, the network data is not completely known as well. In this latter condition, in order to overcome the lack of sufficient data, classification techniques are used to establish a set of typical network patterns and to associate each network to a previously established pattern. Some load distribution models are also used and the uncertainties are considered by the use of fuzzy sets. In order to estimate the non-technical losses and their related technical losses, a method to adjust the billed energy in all customers is proposed. This is accomplished by using the computed technical losses and the measured energy at the substation site. This method also makes possible the assessment of technical losses in a quick way with a low computational effort (fast method). Such method is accomplished by using the results of a calculation previously performed using the conventional method. All the proposed methods are applied to real distribution networks. The obtained results are discussed and compared to the results obtained with the conventional method. The applicability of each model is also discussed.

In the last decades, the focus of internal combustion engine development has moved towards more efficient and less pollutant engines. In a Diesel engine, approximately 30-40% of the energy provided by combustion is lost through the exhaust gases. The exhaust gases are hot and therefore rich of energy. Some of this energy can be recovered by recycling the exhaust gases into turbocharger. However, the energy losses in the exhaust port are highly undesired and the mechanisms driving the total pressure losses in the exhaust manifold not fully understood. Moreover, the efficiency of the turbine is highly dependent on the upstream flow conditions. Thus, a numerical study of the flow in the exhaust port geometry of a Scania heavy-duty Diesel engine is carried out mainly by using the Large Eddy Simulation (LES) approach. The purpose is to characterize the flow in the exhaust port, analyze and identify the sources of the total pressure losses. Unsteady Reynolds Averaged Navier-Stokes (URANS) simulation results are included for comparison purposes. The calculations are performed with fixed valve and stationary boundary conditions for which experimental data are available. The simulations include a verification study of the solver using different grid resolutions and different valve lift states. The calculated numerical data are compared to existent measured pressure loss data. The results show that even global parameters like total pressure losses are predicted better by LES than by URANS. The complex three-dimensional flow structures generated in the flow field are qualitatively assessed through visualization and analyzed by statistical means. The near valve region is a major source of losses. Due to the presence of the valve, an annular, jet-like flow structure is formed where the high-velocity flow follows the valve stem into the port. Flow separation occurs immediately downstream of the valve seat on the walls of the port and also on the surface of the valve body. Strong longitudinal, non-stationary secondary flow structures (i.e. in the plane normal to the main flow direction) are observed in the exhaust manifold. Such structures can degrade the efficiency of a possible turbine of a turbocharger located downstream on the exhaust manifold. The effect of the valve and piston motion has also been studied by the Large Eddy Simulation (LES) approach. Within the exhaust process, the valves open while the piston continues moving in the combustion chamber. This process is often analyzed modeling the piston and valves at fixed locations, but conserving the total mass flow. Using advanced methods, this process can be simulated numerically in a more accurate manner. Based on LES data, the discharge coefficients are calculated following the strict definition. The results show that the discharge coefficient can be overestimated (about 20 %) when using simplified experiments, e. g. flow bench. Simple cases using fixed positions for valve and piston are contrasted with cases which consider the motion of piston and/or valves. The overall flow characteristics are compared within the cases. The comparison shows it is impossible to rebuild the dynamic flow field with the simplification with fixed valves. It is better to employ LES to simulate the dynamic flow and associated losses with valve and piston motion. / <p>QC 20131204</p>

Geomagnetic disturbances that result from solar activities can affect technological systems such as power networks. They may cause DC currents in power networks and saturation of the core in power transformers that leads to destruction in the transformer performance. This phenomena result in unwanted influences on power transformers and the power system. Very asymmetric magnetization current, increasing losses and creation of hot spots in the core, in the windings, and the metallic structural parts are adverse effects that occur in transformers. Also, increasing demand of reactive power and malfunction of protective relays menaces the power network stability. Damages in large power transformers and blackouts in networks have occurred due to this phenomenon. Hence, studies regarding this subject have taken the attention of researchers during the last decades. However, a gap of a comprehensive analysis still remains. Thus, the main aim of this project is to reach to a deep understanding of the phenomena and to come up with a solution for a decrease of the undesired effects of GIC. Achieving this goal requires an improvement of the electromagnetic models of transformers which include a hysteresis model, numerical techniques, and transient analysis. In this project, a new algorithm for digital measurement of the magnetic materials is developed and implemented. It enhances the abilities of accurate measurements and an improved hysteresis model has been worked out. Also, a novel differential scalar hysteresis model is suggested that easily can be implemented in numerical methods. Two and three dimensional finite element models of various core types of power transformers are created to study the effect of DC magnetization on transformers. In order to enhance the numerical tools for analysis of low frequency transients related to power transformers and the network, a novel topological based time step transformer model has been outlined. The model can employ a detailed magnetic circuit and consider nonlinearity, hysteresis and eddy current effects of power transformers. Furthermore, the proposed model can be used in the design process of transformers and even extend other application such as analysis of electrical machines. The numerical and experimental studies in this project lead to understanding the mechanism that a geomantic disturbance affects power transformers and networks. The revealed results conclude with proposals for mitigation strategies against these phenomena. / <p>QC 20150210</p>