This thesis examines the possibility of using the energy potential of waste produced in Ostrava and its surroundings. The aim of this work is to determine whether it makes sense to build a waste incineration plant with energy usage. The thesis also deals with possibilities of heat utilisation, which is produced by the combustion of municipal waste. In the first part is evaluated quantity and composition of the produced waste. The methods of deliveries and the amounts of thermal energy in the selected area are described next. On the base of this information, the facility is designed. Finally, the possible contributions to the region are evaluated.

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This Diploma thesis is focuses on a problem of waste manegament of South Bohemia. It analyses present problems and situation. The aim of this work is to introduce basic principles of handling the waste and waste managament to the readers. It also provide information on financial possibilities, interventions of the public and private sectors and legislative criteria connected with the duties of the waste management.

This thesis deals with processing of real data regarding waste collection. It describes select parts of the fields of statistical tests, identification of outliers, correlation analysis and linear regression. This theoretical basis is applied through the programming language Python to process the data into a form suitable for creating linear models. Final models explain between 70 \% and 85 \% variability. Finally, the information obtained through this analysis is used to specify recommendations for the waste management company.

The main aim of this thesis is to create a sequence of mathematical optimization models with different levels of complexity for the efficient management and waste energy utilization. Stochastic programming approach was utilized to deal with random demand and uncertain heating values. Hence, more applicable model of the waste-to-energy plant has been developed. As the next step, the model is enhanced by heating plant extension. Computations are realized for real-world data and optimal solution is found by using GAMS implementation.