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Documentation for construction of new distribution transformer station and cables line HV a LV
Matouš, Milan ; Orságová, Jaroslava (referee) ; Bátora, Branislav (advisor)
The following master thesis is devoted to the design of distribution systems of LV (Low Voltage) and HV (High Voltage) voltage levels. The aim of the thesis is to create a complete project documentation for the construction of a new distribution transformer station (22kV/0.4kV) situated directly in the city of Blansko along with a transformer capable of performance of up to 630kVA. Subsequently a design of cable routes of LV and HV is included in the project documentation. The first part of the thesis introduces the fundamental issues and solutions regarding the design of electrical equipment related to the LV and HV voltage levels. Thereafter it deals with proper legislation, technical regulations and related standards. The second part is dealing with project documentation. More precisely analyzing each step in the process and thoroughly going through individual parts of the project documentation. Other focus of the thesis is software resources and tools which are essential for drawing documentation. Then follows a selection of appropriate electrical equipment and budget evaluation. The major portion of the work is a design of distribution transformer station and cable lines of LV and HV. Including dimensioning of the LV and HV switchboards, earthing system and fuse protection system. The essence of all this work serves as a foundation for complete design documentation.
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Utilization of inverse reliability analysis tools for probability based design of selected structural parameters
Lipowczan, Martin ; Novák, Drahomír (referee) ; Lehký, David (advisor)
This bachelor thesis deals with the application of methodology and tools of inverse analysis in regards to probabilistic design of selected design parameters of structure. The first step was to get familiar with the probabilistic design and analysis, then understanding of the inverse analysis methodology itself which is based on artificial neural networks. After researching the topic we could get to the actual issue. To put the theory in practice easier examples were used at first. These were mathematical functions and one practical-based example, whereas the results were known in advance. This simplified a process of checking achieved values. Using software tools and especially DLNNET software allowed us to take on practical exercises. Used exercises are chosen from earlier undergraduate studies at the Faculty of Civil Engineering, Brno. The first of these was a design of reinforced concrete slab, where desired parameters were slab’s height and area of reinforcement. The second one was a design of a diagonal truss screw connection, aimed to size the screw diameter and its quantity.
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Simulation tool for gas microturbine integration into industrial operations
Konečná, Eva ; Stehlík, Petr (referee) ; Ovčačík,, Filip (referee) ; Máša, Vítězslav (advisor)
Current challenging energy situation gives rise to the need for highly efficient use of primary energy sources. Gas microturbines are a potential solution to this situation as they represent a progressive source of combined heat and power production. Gas turbines work with electric efficiency around 30 % and another 50 % is hidden in hot flue gas. Leveraging this waste heat is essential for achieving high overal efficiency of production and minimizing the use of primary energy. This thesis introduces a methodology for integration of gas microturbines into industrial operation. This methodology served as a basis for creating a software tool for selecting an optimal gas microturbine and seting up an efficient use of the waste heat from the produced flue gas, specifically direct drying, technological heating of process streams, preparation of warm utility water, and heat accumulation. It also includes technical-economic evaluation of the investment. The methodology is represented by an unique software tool which evaluates various alternatives of a gas microturbine integration into a mid-sized industrial laundry, and recommends the most favourable option. The tool was build using programming language Python in combination with MS Excel to offer great ease of use without a need for any specialized software. The biggest advantage, however, is its universality which allows adapting this software for other industrial processes. It is sufficient for the user to only have a standard operational knowledge of the target process. A laundry operation was selected for this case study, and data from several industrial laundries in Czech republic was collected. Its analysis revealed that the ratio of required electrical and heat energy is an important criterium when selecting a gas microturbine as the main power source. Specifically for older laundry operations, it is necessary to firstly undergo an energy optimization before selecting a suitable power source. If integrated correctly, it is possible to achieve overal efficiency of the gas microturbine of up to 90 % and an acceptable payback period of the investment. A suitable target process for integrating the gas microturbine is one that leverages the gas microturbine’s biggest advantage – production of hot and clean flue gas. It is necessary to look for those processes where a maximum of this flue gas can be used directly without a need for any other costly devices for heat transfer. Drying in laundries certainly represents such a process. The proposed software is an easy, quick, and most importantly universal tool for evaluating suitability of a gas microturbine based on common operational knowledge of the respective process.
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Simulation tool for gas microturbine integration into industrial operations
Konečná, Eva ; Stehlík, Petr (referee) ; Ovčačík,, Filip (referee) ; Máša, Vítězslav (advisor)
Current challenging energy situation gives rise to the need for highly efficient use of primary energy sources. Gas microturbines are a potential solution to this situation as they represent a progressive source of combined heat and power production. Gas turbines work with electric efficiency around 30 % and another 50 % is hidden in hot flue gas. Leveraging this waste heat is essential for achieving high overal efficiency of production and minimizing the use of primary energy. This thesis introduces a methodology for integration of gas microturbines into industrial operation. This methodology served as a basis for creating a software tool for selecting an optimal gas microturbine and seting up an efficient use of the waste heat from the produced flue gas, specifically direct drying, technological heating of process streams, preparation of warm utility water, and heat accumulation. It also includes technical-economic evaluation of the investment. The methodology is represented by an unique software tool which evaluates various alternatives of a gas microturbine integration into a mid-sized industrial laundry, and recommends the most favourable option. The tool was build using programming language Python in combination with MS Excel to offer great ease of use without a need for any specialized software. The biggest advantage, however, is its universality which allows adapting this software for other industrial processes. It is sufficient for the user to only have a standard operational knowledge of the target process. A laundry operation was selected for this case study, and data from several industrial laundries in Czech republic was collected. Its analysis revealed that the ratio of required electrical and heat energy is an important criterium when selecting a gas microturbine as the main power source. Specifically for older laundry operations, it is necessary to firstly undergo an energy optimization before selecting a suitable power source. If integrated correctly, it is possible to achieve overal efficiency of the gas microturbine of up to 90 % and an acceptable payback period of the investment. A suitable target process for integrating the gas microturbine is one that leverages the gas microturbine’s biggest advantage – production of hot and clean flue gas. It is necessary to look for those processes where a maximum of this flue gas can be used directly without a need for any other costly devices for heat transfer. Drying in laundries certainly represents such a process. The proposed software is an easy, quick, and most importantly universal tool for evaluating suitability of a gas microturbine based on common operational knowledge of the respective process.
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Documentation for construction of new distribution transformer station and cables line HV a LV
Matouš, Milan ; Orságová, Jaroslava (referee) ; Bátora, Branislav (advisor)
The following master thesis is devoted to the design of distribution systems of LV (Low Voltage) and HV (High Voltage) voltage levels. The aim of the thesis is to create a complete project documentation for the construction of a new distribution transformer station (22kV/0.4kV) situated directly in the city of Blansko along with a transformer capable of performance of up to 630kVA. Subsequently a design of cable routes of LV and HV is included in the project documentation. The first part of the thesis introduces the fundamental issues and solutions regarding the design of electrical equipment related to the LV and HV voltage levels. Thereafter it deals with proper legislation, technical regulations and related standards. The second part is dealing with project documentation. More precisely analyzing each step in the process and thoroughly going through individual parts of the project documentation. Other focus of the thesis is software resources and tools which are essential for drawing documentation. Then follows a selection of appropriate electrical equipment and budget evaluation. The major portion of the work is a design of distribution transformer station and cable lines of LV and HV. Including dimensioning of the LV and HV switchboards, earthing system and fuse protection system. The essence of all this work serves as a foundation for complete design documentation.
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Utilization of inverse reliability analysis tools for probability based design of selected structural parameters
Lipowczan, Martin ; Novák, Drahomír (referee) ; Lehký, David (advisor)
This bachelor thesis deals with the application of methodology and tools of inverse analysis in regards to probabilistic design of selected design parameters of structure. The first step was to get familiar with the probabilistic design and analysis, then understanding of the inverse analysis methodology itself which is based on artificial neural networks. After researching the topic we could get to the actual issue. To put the theory in practice easier examples were used at first. These were mathematical functions and one practical-based example, whereas the results were known in advance. This simplified a process of checking achieved values. Using software tools and especially DLNNET software allowed us to take on practical exercises. Used exercises are chosen from earlier undergraduate studies at the Faculty of Civil Engineering, Brno. The first of these was a design of reinforced concrete slab, where desired parameters were slab’s height and area of reinforcement. The second one was a design of a diagonal truss screw connection, aimed to size the screw diameter and its quantity.
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Design of conception of data loss prevention
Brejla, Tomáš ; Střížová, Vlasta (advisor) ; Sejk, Vratislav (referee)
This work deals with the making of conception of implementation of processes and software tools designed to ensure sensitive data leakage prevention from the organization infrastructure. The structure consists of three key parts. The first one describes theoretical basis of the work. It explains what is the data loss prevention, what it comes from, why it is necessary to deal with it and what its goals are. It also describes how this fits into the whole area of corporate ICT security environment. There are defined all the risks associated with leakage of sensitive data and there are also defined possible solutions and problems that are associated with these solutions. The first part also analyzes the current state of data loss prevention in organizations. They are divided according to their size and for each group there is a list of the most common weaknesses and risks. It is evaluated how the organizations currently solve prevention of data loss and how they cover this issue from both a procedural point of view and in terms of software tools. The second part focuses directly on the software tools. It is characterized the principle of operation of these systems and it is explained their network architecture. There are described and evaluated current trends in the development of the data loss prevention tools and it is outlined possible further development. They are divided into different categories depending on what features they offer and how these categories cover the needs of organizations. At the end of the second part there are compared the software solutions from leading vendors in the market against actual experience, focusing on their strengths and weaknesses. The third part presents the core content. IT joins two previous sections and the result is the creation of the overall concept of the implementation of data loss prevention with focus on breakdown by several different levels -- processes, time and size of the company. At the beginning of this third section it is described what precedes the implementation of data loss prevention, and what the organizations should be careful of. It is defined by how and what the organizations should set their own expectations for the project could be manageable. The main point is the creation of a procedure of data loss prevention implementation by creating a strategy, choice of solutions, to the implementation of this solution and related processes. The end of the third part deals with the legal and personnel issues which are with the implementation of DLP very closely related. There are made recommendations based on analysis of the law standards and these recommendations are added to the framework approach of HR staff. At the very end there are named benefits of implementing data loss prevention, and the created concept is summarized as a list of best practices.
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