Design and Process Engineering
· Designing, construction, calculation, technology of manufacturing, technical preparation of manufacturing including assembly and testing,
· Thermal and nuclear power plant devices such as steam and combustion turbines, steam generators, steam power plants and heating plants including nuclear power stations, industrial power engineering and their environmental aspects,
· Water turbines, hydrodynamic and hydrostatic pumps, piping systems, hydroelectric power plants, and pumping stations,
· Machinary and devices for chemical industry, food-stuff industry, and biotechnological treatment lines,
· Construction, modelling and theoretical studies of machines and devices for cutting, forming machines, industrial robots, and manipulators,
· Machine parts and mechanisms, methodology of designing machine elements and working mechanisms of general application with consideration of stochastic qualities of inputs, including the application of special types of machines and devices,
· Cars, vans and lorries, buses, trailers, semi-trailers, and motorcycles,
· Combustion engines for all types of vehicle drives, simulation of combustion engine thermomechanical systems, dynamics of driving gear, engine accessories, ecology,
· Machines and devices for in-plant handling of material and handling between operations, for the mining and transport of building materials, for passenger conveyance in buildings,
· Aerodynamic calculation and designing, flight mechanics, fatigue and durability of aircraft constructions, aeroelasticity of aircraft,
· Quality of machine industry production.

prof. Ing. Václav Píštěk, DrSc.

1. Intensification of upstream oil and gas process

   Simultaneously, oil and gas industry is the main producer and consumer of energy, approximately 10% of the energy production is being consumed in the facilities of this industry itself. Extraction of oil and gas from the ground, reinjection for oil recovery, heating stream for components separation, power generation and transportation, all are energy intensive consumers. On the other hand, oil and gas facilities provide very good example of wasting energy due to considerations of cheap energy source and economical saving in assets. Renewable energy technologies should help to address the critical issue of energy sustainability. However, investment in energy efficiency of traditional industrial facilities is currently as important and effective. The aim of this doctoral thesis is to improve the energy efficiency of processing facilities in the upstream process with the focus on gas treatment. The process analysis will be done based on collected data from different sites. It will be suggested proper solutions to improve equipment performance, enhance efficiency and provide energy conservation solutions. The thesis is concentrate on improving operational procedures and control solutions on one hand, and to test proposed modifications in the new mathematical model of the process.

   Tutor: Máša Vítězslav, doc. Ing., Ph.D.

2. Modern approaches towards large data processing in the field of circular economy

   The aim of this doctoral thesis is the development of an analytical tool for processing of multi-dimensional spatially distributed datasets in waste management and related circular economy topic. The analysis will focus on particular key-elements of overall waste processing chain including its logistic. The student will extend his/her knowledge in programming and statistics, which will be further applied for processing of real data. The thesis will continue in the advancement of existing modelling tools NERUDA and Justine, both developed at Institute of Process Engineering (UPI). The special attention will be paid on proper software implementation and exploitation of available capacities of calculation hardware. Following issues will be tackled: • Introduction of circular economy and its influencing factors • Understanding the principles of existing tools NERUDA and Justine • Extending knowledge in programming techniques and in specific branches of mathematics • Development and implementation of a novel approach to software solution and its integration with existing tools.

   Tutor: Stehlík Petr, prof. Ing., CSc., dr. h. c.

3. Rotary drum drying and calcination of granular solids - experiment and modelling

   The work will be focused on the analysis and modelling of phenomena occuring in rotary drum dryers and kilns. The work will include performing of experiments, statistical data analysis and data processing, designed to validate simulation models. Attention will be directed also towards the design and construction of experimental equipment and measurement techniques, precise process control and monitoring of operating conditions. Modelling of the processes in rotary drum dryers and kilns is closely related and thus the aim of the work will be a universal model for these units.

   Tutor: Hájek Jiří, doc. Ing., Ph.D.

4. Simulation of photobioreactors

   The purpose of the thesis is to involve the student in the development of in-house simulation models, within the framework of a starting grant project. Controlled cultivation of micro-algae for the innovative production of high value-added products is a new trend in developing biotechnologies. Optimizing the environment of these microorganisms requires, among other things, the ability to predict their growth depending on the environmental characteristics, which include a number of parameters such as availability of nutrients or lighting conditions. However, models for such applications need to be developed. The doctoral student will work on the following tasks: • Creating a CFD model using ANSYS tools • Description of the micro-algae population growth • Description of the interaction between micro-algae and light Interesting salary, support of an experienced team with a friendly atmosphere and cooperation with industrial partners are all prepared for the applicants. The candidates should have experience with computational fluid dynamics (CFD), be motivated to work in research, and be able to quickly orient themselves in new issues (good prior learning outcomes).

   Tutor: Hájek Jiří, doc. Ing., Ph.D.