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Modeling the Impacts of Changes in Waste Management on Key Technologies
Jadrný, Josef ; Suzová, Jana (referee) ; Weidlich, Tomáš (referee) ; Pavlas, Martin (advisor)
The doctoral thesis focuses on waste management planning in the Czech Republic with regard to key technologies. The operation of processing facilities is influenced by strategic documents that reflect the legislative framework of the EU and the Czech Republic. Due to the introduction of new principles and evaluation criteria, it is necessary to regularly update the Waste Management Plan at the state and regional level, according to the Waste Act No. 541/2020 Coll. When creating new strategic documents, emphasis should be placed on the use of available computing tools, inter-regional cooperation and the specific formulation of goals and measures. The individual goals of waste management must be taken into account when operating existing facilities and also when planning the necessary infrastructure. The attention in this text is devoted to the analysis of the current state of waste management in the Liberec Region with a focus on key technologies. The mentioned approaches and recommendations can be further applied to any region of the Czech Republic.
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Modelling and simulation in the field of waste management
Pařízková, Iva ; Popela, Pavel (referee) ; Touš, Michal (advisor)
This bachelor thesis is focused on the application of multilayer perceptron net for modelling the technolgical units of waste-to-energy facility ZEVO Malesice. It was specifically created to model the amount of steam generated in steam-boilers and to quantify the consumpion of steam by an external subject. Firstly, the basics of neuron theory are presented. In the following, a Statistica artificial neural network module is described. This module was used to develop the neural network models. The models appearing in practical section were created with the use of STATISTICA software. Last chapter deals with detailed description of the developed models and their comparison with simple linear and nonlinear regression models. Last but not least, the description of a software providing easy implementation of neural network models into Visual Basic for Application programming language is presented.
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Modelling and simulation in the field of waste management
Pařízková, Iva ; Popela, Pavel (referee) ; Touš, Michal (advisor)
This bachelor thesis is focused on the application of multilayer perceptron net for modelling the technolgical units of waste-to-energy facility ZEVO Malesice. It was specifically created to model the amount of steam generated in steam-boilers and to quantify the consumpion of steam by an external subject. Firstly, the basics of neuron theory are presented. In the following, a Statistica artificial neural network module is described. This module was used to develop the neural network models. The models appearing in practical section were created with the use of STATISTICA software. Last chapter deals with detailed description of the developed models and their comparison with simple linear and nonlinear regression models. Last but not least, the description of a software providing easy implementation of neural network models into Visual Basic for Application programming language is presented.
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