Full-time study

4 years

doc. Ing. Pavel Rudolf, Ph.D.

Chairman :
doc. Ing. Pavel Rudolf, Ph.D.
Councillor internal :
prof. Ing. Jiří Pospíšil, Ph.D.
prof. Ing. Jan Jedelský, Ph.D.
doc. Ing. Jaroslav Katolický, Ph.D.
prof. Ing. Zdeněk Jegla, Ph.D.
Councillor external :
Ing. Milan Kořista, Ph.D.

The aim of the doctoral study in the suggested programme is:
• Training of creative highly educated workers in the field of energy engineering and closely related engineering fields, who will be prepared to work in research and development in industrial companies, research institutes and organizations in our country and abroad.
• To enable the doctoral student to develop talent for creative activities and further development of a scientific or engineering personality. To ensure the development of his ability to process scientific knowledge in the field of study and related fields.
• Graduates will be able to do independent scientific work, especially in the field of applied but also basic research.
• The doctoral student is guided not only to gain knowledge in the field studied, but also to its further development.
• The focus of the study is primarily on basic and applied research in the following areas: design, development and operation of energy and fluid machines and equipment, combustion, environmental engineering, process engineering, fluid mechanics, thermomechanics.
• The graduate has a very good knowledge of field theory and modern approaches in the field of computational and experimental modeling.
• The graduate has skills and abilities in the field of publishing and sharing R&D results in Czech and especially English.

• The profile of the graduate corresponds to the current state of scientific knowledge in the field of energy engineering and allows him to further develop research in the field.
• The graduate is a creative personality capable of independent and team scientific work, has sufficient skills for the preparation, implementation and management of R&D projects.
• The graduate is able to transfer results between basic and applied research and collaborate in multidisciplinary international scientific teams.
• During the study, the doctoral student will gain broad knowledge and skills in the field of fluid flow, heat transfer, design and operation of energy machines, equipment and systems.
• It is assumed that graduates will find employment as R&D workers in academic research organizations or in research institutes and departments of applied research of industrial enterprises in the Czech Republic and abroad, in ordinary and senior positions.

The graduate of the doctoral study programme in Energy Engineering will be prepared for independent and team R&D work in the academic environment, research organizations or research departments of industrial companies in the field of energy, both domestic and foreign.
The graduate will have a comprehensive view of current challenges and problems in the field of energy and will be able to respond by analysing the issue, design of appropriate models or technical measures and equipment. Therefore, they will be a suitable candidate not only for positions in the field of R&D, but also in public administration, consulting companies or managerial positions of companies focusing on energy.

See applicable regulations, DEAN’S GUIDELINE Rules for the organization of studies at FME (supplement to BUT Study and Examination Rules)

The rules and conditions of study programmes are determined by:
BUT STUDY AND EXAMINATION RULES
BUT STUDY PROGRAMME STANDARDS,
STUDY AND EXAMINATION RULES of Brno University of Technology (USING "ECTS"),
DEAN’S GUIDELINE Rules for the organization of studies at FME (supplement to BUT Study and Examination Rules)
DEAN´S GUIDELINE Rules of Procedure of Doctoral Board of FME Study Programmes
Students in doctoral programmes do not follow the credit system. The grades “Passed” and “Failed” are used to grade examinations, doctoral state examination is graded “Passed” or “Failed”.

Brno University of Technology acknowledges the need for equal access to higher education. There is no direct or indirect discrimination during the admission procedure or the study period. Students with specific educational needs (learning disabilities, physical and sensory handicap, chronic somatic diseases, autism spectrum disorders, impaired communication abilities, mental illness) can find help and counselling at Lifelong Learning Institute of Brno University of Technology. This issue is dealt with in detail in Rector's Guideline No. 11/2017 "Applicants and Students with Specific Needs at BUT". Furthermore, in Rector's Guideline No 71/2017 "Accommodation and Social Scholarship“ students can find information on a system of social scholarships.

The newly proposed doctoral study programme in Energy Engineering is being created as a new one within the institutional accreditation of the field of education "Energy". It follows on from the bachelor's degree in the specializations of the bachelor's study programme in Energy and the subsequent master's degree programmes in Energy and Thermofluid Engineering and Process Engineering. It is an education combining solid theoretical foundations in applied mechanics, design of power machines, design and operation of power systems, knowledge and skills in computational and experimental modelling in the field of power engineering and applied fluid mechanics and thermomechanics.
In the case of applicants from other faculties or universities, it is necessary that they master the above-mentioned disciplines at the level taught in these programmes.

1. round (applications submitted from 01.04.2026 to 31.05.2026)

1. Aerosol particles emitted from car tires

   The thesis is focused on the study of the emission of non-exhaust particles generated during the driving of cars. The work will be focused in significant part experimentally in order to identify the morphology, concentration and emission factor of non-exhaust particles. The theoretical part will be complemented by detailed modelling of the dispersion of the generated particles and an evaluation of the possibilities of their capture.

   Supervisor: Pospíšil Jiří, prof. Ing., Ph.D.

2. Atomizer with adaptive spray for applications with strong interaction with the surrounding flow

   The growing use of unmanned aerial vehicles (UAVs) in agriculture and firefighting places high demands on the quality and stability of the spray. Unlike stationary applications, there is very strong interaction between the spray and the surrounding airflow. This leads to a significant risk of drift, uneven droplet deposition, and low spraying efficiency.
   The aim of the dissertation will be to develop and optimize a nozzle designed for drones. The work will focus on researching the breakdown of the liquid film, spray formation, and its interaction with a complex flow field. The work will deal with both the design of the atomizer itself and the evaluation of the influence of operating parameters and flight conditions on droplet size and trajectory.
   Modern optical diagnostic methods (e.g., high-speed camera, PIV, PDA/LDV) will be used in combination with numerical simulations (CFD, or LES) to enable a detailed description of the flow and transport of droplets.
   Based on experimental and numerical data, the potential of using machine learning and artificial intelligence methods for "smart" spray adaptation will be investigated – for example, adjusting the operating parameters of the nozzle (pressure, flow rate, turbulence) in order to minimize losses and maximize application efficiency.

   The doctoral student will participate in the design and implementation of test equipment simulating operating conditions on a drone, conduct experiments, and evaluate the measured data. The results of the work will contribute to a better understanding of the physical processes of liquid atomization in complex flow fields and to the development of advanced spray systems for UAV applications.
   The topic has full technical and material support, especially laboratory equipment, technology, and materials for experiments. Partial financial support for the student from the project is expected. The topic is related to existing or planned projects of the workplace in the field of nozzle and spray technology development. The possibility of a several-month internship abroad, participation in professional seminars, and presentation of results at international conferences is expected.

   Supervisor: Jedelský Jan, prof. Ing., Ph.D.

3. Calibration and validation of CFD models for solid-particle erosion in curved flow geometries

   The aim of the doctoral thesis is to develop and validate a numerical (CFD) methodology for predicting erosion caused by solid particles in flows over curved walls and in technically relevant geometries. The student will work with multiphase modelling (Euler–Lagrange/DPM), including the selection of appropriate boundary conditions, turbulence modelling, and particle–wall interaction. An important part of the work will be the calibration of erosion-model parameters (e.g., Finnie/Tabakoff) against experimental data and a sensitivity analysis of these parameters. The thesis will also include uncertainty quantification and the definition of applicability limits for different materials, particle sizes and concentrations, and operating conditions. The main outputs will be validated computational procedures and recommendations for transferring results from laboratory configurations to more complex real-world geometries (e.g., blade passages of turbines and pumps).

   The thesis will be carried out within an international GAČR project in collaboration with the University of Ljubljana (Slovenia), enabling research stays, conference travel, and other international activities.

   Supervisor: Rudolf Pavel, doc. Ing., Ph.D.

4. Cavitation erosion of fuel-pump components: accelerated testing, damage quantification, and a validated wear model

   The aim of the thesis is to experimentally quantify cavitation damage on selected pump components and to develop a methodology for reliably translating accelerated test results into erosion-risk estimates under real operating conditions. The student will focus on designing and evaluating experiments (including instrumentation), detailed measurement and description of damaged surfaces, and the creation of comparable erosion maps. Based on the acquired data, a cavitation-erosion model will be developed and validated for assessing design variants and operating regimes. A practical extension may also be to link the results with diagnostics by identifying relationships between the intensity of cavitation/erosion and measurable test signals (e.g., vibroacoustics) to enable early cavitation detection during testing.

   Supervisor: Rudolf Pavel, doc. Ing., Ph.D.

5. Cavitation erosion prediction

   Cavitation erosion is a negative effect caused by the collapse of cavitation bubbles on the surface of, for example, hydraulic machine blades (pumps, water turbines). In addition to experimental research into cavitation erosion, it is important to be able to predict the intensity of cavitation wear at the machine design stage using computational modeling. The aim of this dissertation is to conduct research leading to the creation of a cavitation model based on post-processing data from CFD modeling and experimental validation of the model.

   Supervisor: Rudolf Pavel, doc. Ing., Ph.D.

6. Complex 3D-printed structures for heat transfer intensification: Modelling and optimization

   Efficient heat transfer and optimal design of heat exchangers are among important areas related to the efficiency and cost-effectiveness of a wide range of devices, in which heat transfer intensification is required. In the past, technologies for the design and manufacturing of heat exchangers were limited to conventional (subtracting) methods. However, in the last years, additive manufacturing and 3D printing (including metallic materials) have experienced huge development and advancement. These new fabrication methods open entirely new possibilities for the production of heat transfer structures with surfaces having a very complicated topology for maximization of the heat transfer area (e.g. the use of gyroids). The research project will therefore aim at the development of computational models for simulations of the thermal behaviour of complex structures for heat transfer intensification. The research will also include the use of these models for the optimization of the structures. In this respect, the utilization of soft computing methods is expected (e.g. a nature-inspired genetic algorithm, or particle swarm optimization). According to recently published studies, these methods seem to have great potential to efficiently solve such kinds of problems. The research topic is a part of a currently solved project MEBioSys (a project within the call Johannes Amos Comenius Programme - Excellent research) and a project funded by the Czech Science Foundation. As a part of the study, it is expected that the student will actively participate in international scientific conferences abroad and undertake an internship (stay) at a foreign university. These activities represent a significant opportunity for professional networking and acquiring new knowledge and skills. Essential tools and equipment for advanced research will be available to the student, including access to computational fluid dynamics (CFD) software, high-performance computing (HPC) systems, experimental facilities and equipment. The student is also expected to actively participate in experimental investigations related to the research (testing of 3D printed heat transfer structures and heat exchangers, acquisition of data for validation of models).

   Supervisor: Klimeš Lubomír, doc. Ing., Ph.D.

7. Cryogenic gas separation and capture

   The doctoral studies will focus on computational and experimental research in the field of very low temperatures. The aim of the thesis will be to design a technology, especially an exchanger, for subcooling gases to the condensation temperature, i.e. to temperatures around -150 °C. The work is linked to a project with an industrial partner.

   Supervisor: Baláš Marek, doc. Ing., Ph.D.

8. Development and optimization of spray systems for target applications using machine learning on an internal experimental database

   Over the past ten years, the Multiphase Fluid Mechanics Laboratory at FSI has collected an extensive set of high-quality image and numerical data on the behavior of various atomization systems under a wide range of operating conditions. The laboratory is currently focusing primarily on the development of sprays for (1) the deposition of nanoparticle/functional coatings and (2) the intensification of CO₂ capture processes.
   The aim of the dissertation is to systematically organize this data, supplement metadata and uncertainties, and create a reproducible database suitable for machine learning methods. ML models (including physically informed approaches and models with uncertainty estimation) will be used for data mining, prediction of spray quality metrics (e.g., atomization regime, SMD, cone angle, penetration, deposition efficiency, mass transfer characteristics) and for inverse design and multi-criteria optimization of atomizer geometry and operating conditions. The work will include experimental verification of selected designs and, if necessary, the design of additional experiments (DoE/active learning).
   The topic is multidisciplinary (multiphase flow, experimental diagnostics, data processing, ML/optimization) and has full technical and material support. Partial financial support for the student from the project is expected, as well as continuity with existing/submitted research projects, a several-month internship abroad, and presentation of results at conferences. Before the admission procedure, it is necessary to contact the supervisor and discuss the details.

   Translated with DeepL.com (free version)

   Supervisor: Jedelský Jan, prof. Ing., Ph.D.

9. Development of Boundary Vorticity Elements Method with Continuous Distribution of Vorticity and Its Application on Solution of 2D Fluid Flow Round Single Hydrofoil.

   The Boundary Vorticity Elements Method with Continuous Distribution Vorticity has a promising future in area of vortex fluid flow modeling. This method brings a new aspects and possibilities in this area. Basic theoretical principles of this method have been developed. It is important to verify and the possibilities of this method on the practical examples. It is important to choose proper boundary conditions for vorticity distribution or choose proper method to fulfilling the Kuta-Zukovskij condition of smooth profile outflow.

   Supervisor: Štigler Jaroslav, doc. Ing., Ph.D.

10. Digital image processing and acoustic used for measurement of fluid phenomena

    Thesis will focus on a digital image processing of video sequences and acoustic captured during hydraulic phenomena. Watching the cavitation of inlet vortices and similar phenomena, which could be caught with a high-speed camera, will be the main part of the work.

    Supervisor: Habán Vladimír, doc. Ing., Ph.D.

11. Charging infrastructure for electric vehicles: Machine learning and user behaviour analysis for optimization and predictive maintenance

    The European Green Deal is currently a highly discussed topic, aiming at a 55% reduction in greenhouse gas emissions by 2030 and zero greenhouse gas emissions by 2050. This strategy also includes a transformation of the transportation sector: a shift from fossil-fuelled combustion engines to electric vehicles (EVs). However, the growing number of electric vehicles poses many challenges that need to be addressed. One of them is the charging of EVs, as the existing electricity grid and infrastructure do not have the capacity to provide simultaneous charging of a large number of EVs. The aim of the research will be the development of computational tools for the optimization of the EV charging infrastructure (number of charging stations, their location, charging capacity, etc.), the prediction of its maintenance, and the analysis and prediction of user (EV driver) behaviour for the efficient operation and use of the charging infrastructure. For this purpose, the use of machine learning, artificial intelligence and predictive modelling tools is envisaged. The research topic is a part of the currently solved project ITEM from the project call Johannes Amos Comenius Programme - Intersection Cooperation. As a part of the study, it is expected that the student will actively participate in international scientific conferences abroad and undertake an internship (stay) at a foreign university. These activities represent a significant opportunity for professional networking and acquiring new knowledge and skills. Essential tools and equipment for advanced research will be available to the student, including access to high-performance computing (HPC) systems, simulation software, and other equipment.

    Supervisor: Klimeš Lubomír, doc. Ing., Ph.D.

12. Impact of renewable energy sources on electric vehicle charging infrastructure

    The integration of renewable energy sources, such as solar and wind, into the charging infrastructure of battery electric vehicles (BEV) presents several challenges. Renewable energy sources are inherently variable and intermittent, leading to fluctuations in energy supply. These fluctuations affect the operation of the BEV charging infrastructure necessitating advanced energy management strategies and energy storage. The doctoral topic aims at the investigation of the impact of renewable energy variability on the BEV charging infrastructure and energy storage requirements. The ultimate objective is to develop a model for determining the necessary capacity of battery storage.

    Supervisor: Charvát Pavel, doc. Ing., Ph.D.

13. Instabilities arising during flow around solid body

    Excitation and instabilities occur when a fluid flows around a solid body. Probably the most well-known excitation is from karman vortices, or instabilities such as stream breaking, fluttering or galloping on the body. The aim of this dissertation will be to model these phenomena, conduct experimental investigations and propose measures to prevent these instabilities or to exploit these oscillations for energy gain.

    Supervisor: Habán Vladimír, doc. Ing., Ph.D.

14. Integration of thermo-physiological models into energy simulations of cabin HVAC systems

    The integration of thermophysiological models into energy simulations of cabin HVAC systems represents an interdisciplinary approach linking the fields of human thermophysiology, heat transfer, and energy engineering. Traditional HVAC system design is typically based on environmental parameters such as air temperature, relative humidity, and flow velocity. In contrast, advanced thermophysiological models or heat stress indices describe the human body's response to thermal stress through detailed heat balance, blood flow regulation, sweat production, and changes in core and skin temperature. Their implementation into cabin energy models would allow the simulation of the interaction between humans and the microclimate in an enclosed space, including time-varying boundary conditions and possible local thermal effects.

    The topic of the dissertation focuses on the possibility of integrating advanced thermophysiological models or heat stress indices into energy simulation tools used for the design and optimization of car cabins and HVAC systems. The aim is to create an interconnected "human-HVAC" model that will determine the appropriate level of thermal comfort, ensure a reduction in heat stress, and minimize the energy consumption of the system. The work should therefore focus on applied research and the possibilities for implementing and utilizing the proposed solution in practice. Another objective of the work will be to select suitable thermophysiological models or indices, implement them, and possibly extend their conditions of applicability for the given solution with the help of experimental data.

    Supervisor: Fišer Jan, doc. Ing. Bc., Ph.D.

15. Interaction of sprays with complex surrounding flow

    This dissertation focuses on researching the behavior of spray generated by pressure swirl nozzles with co-axial primary air supply (air-assist type) exposed to cross-flow. This arrangement simulates the aerodynamic conditions prevailing in the primary zone of an aircraft jet engine combustion chamber. The main objective is to gain a deeper understanding of primary and secondary liquid breakup and to describe the subsequent spatial dispersion of droplets in interaction with the flow.
    The core of the research will be a study combining experimental measurements with computational fluid dynamics (CFD) methods. The work will focus primarily on the systematic investigation of the influence of momentum ratios – both between the primary co-flow of air and liquid, and between the resulting jet flow and the main transverse air flow. The penetration of the spray, the trajectory of its core, the breakup of the liquid film, and the resulting droplet size distribution will be investigated. The main output and contribution of this dissertation will be the creation of a physical generalization of the behavior of the investigated nozzles depending on defined momentum ratios and boundary conditions. This generalization will be formulated in the form of mathematical correlations or simplified models that will be directly usable and easily implementable in commercial and open-source CFD codes. The results will thus provide engineers and researchers with a reliable and computationally efficient tool for more accurate predictions of fuel mixture preparation, which is an essential step for future designs and optimizations of low-emission jet engine combustion chambers.

    Supervisor: Jedelský Jan, prof. Ing., Ph.D.

16. Interaction of turbulent structures with surface instabilities during atomization of liquid films

    This dissertation focuses on studying the influence of cross-flow turbulence on the mechanisms of primary breakdown of liquid walls. The work will be experimental in nature and will combine advanced characterization of turbulent flow generated by passive or active grids in a wind tunnel with optical diagnostic tools for spray characterization using a wide range of working fluids with different properties. The study includes both Newtonian fluids with variable viscosity and non-Newtonian fluids exhibiting viscoelastic behavior. The aim is to describe the dominant frequencies of surface waves and the initiation of ligament formation and to correlate them with specific spatial scales of turbulence in the surrounding air flow.
    The output of the dissertation will be a comprehensive physical model of primary breakdown that takes into account the nonlinear interaction between external turbulence and internal rheological forces of fluids. The work will provide new insights into how viscosity and non-Newtonian properties dampen or, conversely, amplify the influence of turbulent scales on the destabilization of the gas-liquid interface. The resulting correlations will enable more accurate prediction of atomization processes in industrial applications, from jet engine combustion chambers to the food industry, where flow and turbulence play a crucial role.

    Supervisor: Jedelský Jan, prof. Ing., Ph.D.

17. Numerical modelling of flow and cavitation in centrifugal fuel pumps and hydraulic design modifications

    The thesis will focus on developing and validating CFD methodologies for cavitation prediction in a real fuel-pump geometry, including the selection of an appropriate multiphase approach, turbulence modelling, and boundary conditions. The student will compare simulations with experimental data from performance and endurance tests and progressively refine the model so that it can be used to design hydraulic modifications. The main outputs will be recommendations on which design interventions most effectively mitigate cavitation while maintaining the required performance and efficiency. The doctoral research will be carried out within an applied research project in collaboration with an industrial partner.

    Supervisor: Rudolf Pavel, doc. Ing., Ph.D.

18. Rotor–stator interaction in centrifugal pumps: prediction of pressure spectra, radial forces, and acoustics using RANS and scale-resolving CFD

    Pressure pulsations induced by rotor–stator interaction (RSI) are among the main sources of vibration and noise in centrifugal pumps and are often responsible for operational issues and customer complaints (excessive noise, elevated vibration levels, increased loads on bearings and seals, component fatigue, or adverse interaction with the piping system). While CFD is routinely used in practice to predict hydraulic performance, reliable prediction of pressure fluctuation spectra, radial forces, and their acoustic consequences across the full operating range still hinges on selecting an appropriate level of turbulence modelling: when URANS/RANS is sufficient and when scale-resolving approaches (SAS/DES/LES-like) are required. The aim of this PhD thesis is to develop, validate, and industrially apply a CFD methodology for predicting RSI-induced pressure spectra and radial forces in centrifugal pumps over the entire operating range and to link these results to acoustic indicators. Particular emphasis will be placed on:

    - criteria for selecting the turbulence modelling approach (RANS/URANS vs. scale-resolving) with respect to the target metrics (BPF components vs. broadband content)

    -evolution of pressure spectra as a function of the operating point (from near-optimum to off-design conditions)

    - the CFD → acoustics link (pragmatic NVH metrics and/or aeroacoustic analogy)

    - the influence of geometric parameters (especially RSI-relevant features) on pulsations and noise

    - the effect of manufacturing tolerances (real deviations and clearances) on RSI and the acoustic response.

    Supervisor: Rudolf Pavel, doc. Ing., Ph.D.

19. Scaling of spray columns with strong gas–liquid interaction

    Spray columns used in gas cleaning or CO2 absorption processes are significantly influenced by the properties of the atomizer used and its interaction with the surrounding flow. However, when scaling up from laboratory to pilot and industrial scale, the efficiency of the process often deteriorates due to changes in the nature of the spray, flow, and droplet distribution.
    The aim of the dissertation will be to study and design methods for scaling spray columns using different atomizers. The work will address the influence of the type, number, and location of the atomizer, operating parameters, and scale of the equipment on the interfacial area and droplet distribution in the column. Experimental research using optical diagnostics will be combined with CFD simulations to identify key dimensionless parameters suitable for scaling.
    The work will include the synthesis and application of scaling laws and recommendations for the design of atomizers and spray columns to maximize the interfacial area and minimize undesirable phenomena such as liquid entrainment or uneven distribution in the column.
    The doctoral student will participate in the design and implementation of a spray column, perform experiments, and evaluate the measured data. The results of the work will contribute to a better understanding of multiphase flow in spray columns.

    The topic has full technical and material support, especially laboratory equipment, technology, and materials for experiments. Partial financial support for the student from the project is expected. The topic is related to existing or planned projects of the workplace in the field of nozzle and spray technology development. The possibility of a several-month internship abroad, participation in professional seminars, and presentation of results at international conferences is expected.

    Supervisor: Jedelský Jan, prof. Ing., Ph.D.

20. Structures manufactured using additive technologies for heat transfer in HVAC applications

    Heat and mass transfer in applied HVAC processes is very often dependent on the geometric design of the material structures on which the transfer takes place. In the case of minimizing heat transfer, the internal structure of the material is important in suppressing transfer phenomena (maximum thermal resistance), while in the case of maximizing heat transfer, structures are needed to maximize the efficiency of heat and mass transfer phenomena (e.g., in exchangers, surface cooling, etc.). These structures are often very specific in shape, and suitable inspiration can be found, for example, in evolution-optimized natural structures (corals, termite mounds, leaf vascular systems, etc.). Due to the complexity of these structures, one of the few technologies for their production is additive technology, known as 3D printing.

    The topic of the dissertation focuses on the use of specific structures produced by 3D printing in the field of heat transfer, with an emphasis on the use of designs inspired by biological systems. The work should be directed towards applied research and the use of such structures, for example, in heat exchangers, cooling systems, special protective clothing, and insulating materials. The aim of the work will also be to demonstrate applicability in the field of HVAC systems or thermal comfort with the aim of improving system performance, reducing energy consumption, or increasing the use of renewable energy sources.

    Supervisor: Fišer Jan, doc. Ing. Bc., Ph.D.

21. Thermodynamics of hydrogen compression and expansion processes in fast-filling of hydrogen vehicles

    Fast filling of onboard hydrogen storage tanks in fuel cell electric vehicles (FCEVs) involves highly transient thermodynamic processes. The ability to refuel high‑pressure storage tanks within a short time is crucial for the widespread commercialization of FCEVs. However, the fast‑filling process is fundamentally constrained by the complex thermodynamic behavior of hydrogen gas. To prevent the internal tank temperature from exceeding safety limits, active pre‑cooling of hydrogen to low temperatures (e.g., −40 °C) is required. This refrigeration demand significantly reduces the overall well‑to‑wheel energy efficiency and economic viability of hydrogen refueling stations. The doctoral research focuses on developing a novel thermodynamic control model. The ultimate objective is to formulate an optimized refueling protocol that actively manages expansion and compression processes to limit temperature spikes, thereby reducing the refrigeration requirements.

    Supervisor: Charvát Pavel, doc. Ing., Ph.D.