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Efficient use of renewable energy sources in a residential building
Burčo, Matúš ; Paluřík, Pavel (referee) ; Jablončík, Lukáš (advisor)
The thesis focuses on the design and implementation of an optimization algorithm for an energy management system in apartment buildings. The thesis analyzes current technological solutions for smart home energy management, including open-source and commercial systems. It further considers the use of containerization technologies for the implementation of the algorithm in practice. The second chapter focuses on renewable energy sources such as solar, wind and hydro power and discusses methods for their efficient integration into energy systems. The third chapter describes specific system elements, such as photovoltaic panels and battery storage, in the context of a residential building. The fourth chapter describes the development of the optimization algorithm, its testing and integration with data collection and visualization platforms. The aim of the thesis is to show how the system can be used to make efficient use of the available energy resources and thus reduce the energy costs of the building.
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Optimising the use of renewable energy sources by controlling home technologies
Bolf, Marek ; Mikulášek, Michal (referee) ; Jablončík, Lukáš (advisor)
Initially, this thesis is devoted to the analysis of methods of efficient energy management and the analysis of renewable energy sources. Subsequently, the thesis focuses on detailing the design of an optimization algorithm that schedules and distributes the flow of electricity in the home. The effectiveness of the algorithm has been computationally demonstrated using data collected from days in the past. This algorithm is also aimed at communicating with other devices in the home. In this paper, the algorithm is explained verbally, with diagram and calculations. Subsequently, the type of control unit has been selected.
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Optimization Algorithm with Probability Direction Vector
Pohl, Jan ; Pokorný, Miroslav (referee) ; Matoušek, Radomil (referee) ; Jirsík, Václav (advisor)
This disertation presents optimization algorithm with probability direction vector. This algorithm, in its basic form, belongs to category of stochastic optimization algorithms. It uses statistically effected perturbation of individual through state space. This work also represents modification of basic idea to the form of swarm optimization algoritm. This approach contains form of stochastic cooperation. This is one of the new ideas of this algorithm. Population of individuals cooperates only through modification of probability direction vector and not directly. Statistical tests are used to compare resultes of designed algorithms with commonly used algorithms Simulated Annealing and SOMA. This part of disertation also presents experimental data from other optimization problems. Disertation ends with chapter which seeks optimal set of control variables for each designed algorithm.
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Cross_section and reinforcement optimization of roof truss
Odvárka, Miroslav ; Šimůnek, Petr (referee) ; Laníková, Ivana (advisor)
The thesis is focused on optimization of cross-section shape of reinforced concrete truss. An optimization algorithm was created in Microsoft Office Excel which optimizes the shape and reinforcement of the reinforced concrete truss. The truss is as cheap as possible while complying with the ultimate limit state and serviceability limit state - deflection. The algorithm uses the Solver tool which is a supplement program Microsoft Office Excel. Two truss variants were created. One has a cross-sectional shape of a truss designed according to empirical relationships and the second comprises an optimized cross-sectional shape using the algorithm formed. The internal truss forces were detected using Scia Engineer. Both options were statically assessed. When comparing the variants, that a considerable part of the material cost can be saved when optimizing the cross-sectional shape.
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QRS detection using zero crossing counting
Hanus, Rostislav ; Smital, Lukáš (referee) ; Vítek, Martin (advisor)
This master’s thesis deals with the detection of QRS complex detection using zero crossing counts. QRS detection is an important part of the analysis of ECG signal. From the point of determining the R wave detection is based on the other waves and intervals necessary for the diagnosis of heart. This method is very effective even for very noisy signals. Implementation of the method in Matlab, and the success of detection is tested on the CSE and MIT-BIH database. The optimization algorithm is an optional value for the detector.
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Advanced Evolutionary Optimisation of TSP-Based Problems
Hladyuk, Vadym ; Vašíček, Zdeněk (referee) ; Bidlo, Michal (advisor)
This paper solves the traveling salesman problem using an evolutionary algorithm, specifically a genetic algorithm. It is a hybrid of the genetic algorithm, using a local search algorithm and other enhancements that further improve the results obtained. The traveling salesman problem will be solved from 20 cities to 25,000 cities. In the experiments chapter, I have determined the best settings for all the parameters in the program and properly tested their appropriateness. In the next part of the experiments chapter, I found out the performance of the full version of the genetic algorithm and its variants. In the last section, I compared the evolution of fitness values of different variants of genetic algorithms and different variants of crossover operators, I also compared the time consumption. I suggested further possible improvements either to the local search algorithm or to another approach to solve the TSP.
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Web application for creating a cyber security profile
Stejskal, Michal ; Sikora, Marek (referee) ; Dzurenda, Petr (advisor)
This Bachelor thesis describes design and implementation of optimalization program designed to find best combination of courses. The goal in this thesis was to get acquainted with European Cybersecurity Skills Framework (ECSF) in the area of cyber security, optimalization algorithms and with project Cybersecurity Skills Alliance – A New Vision for Europe (REWIRE). This thesis also includes web design and working with the database. Program is developed in the Python, PHP and Javascript programming languages. Between critical requirements of the program belongs optimality of found solution and time in which is the solution found. Program is connected with web interface, in which it is possible to search for optimal combinations based on input constraints.
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Cross_section and reinforcement optimization of roof truss
Odvárka, Miroslav ; Šimůnek, Petr (referee) ; Laníková, Ivana (advisor)
The thesis is focused on optimization of cross-section shape of reinforced concrete truss. An optimization algorithm was created in Microsoft Office Excel which optimizes the shape and reinforcement of the reinforced concrete truss. The truss is as cheap as possible while complying with the ultimate limit state and serviceability limit state - deflection. The algorithm uses the Solver tool which is a supplement program Microsoft Office Excel. Two truss variants were created. One has a cross-sectional shape of a truss designed according to empirical relationships and the second comprises an optimized cross-sectional shape using the algorithm formed. The internal truss forces were detected using Scia Engineer. Both options were statically assessed. When comparing the variants, that a considerable part of the material cost can be saved when optimizing the cross-sectional shape.
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