Energy System Modeling (FSI-9MES)

Academic year 2023/2024
Supervisor: doc. Ing. Pavel Charvát, Ph.D.  
Supervising institute: EÚ all courses guaranted by this institute
Teaching language: Czech
Aims of the course unit:
Development of students' abilities for independent creation and use of computational models of energy systems. The main emphasis is on the ability to appropriately formulate the problem and to propose (use) a computational model apt for achieving the desired results.
Learning outcomes and competences:
Students will learn critical and methodical approaches to creating and using models of energy systems.
Prerequisites:
Practical knowledge of mathematics, physics, thermodynamics, heat transfer and fluid mechanics. Computer skills.
Course contents:
The course is focused on computational models of energy systems and models of individual problems and phenomena occurring in these systems. The course does not focus on mastering specific simulation tools, but it is aimed at developing critical thinking and other abilities and skills needed to create and use computational models of real-life systems and problems.
Teaching methods and criteria:
The course has a form of lectures, self-study, consultations and project assignments. The project assignments aim at computational modeling of energy systems or phenomena that are the subject of students’ dissertations.
Assesment methods and criteria linked to learning outcomes:
Students need to complete individual energy system modeling projects approved by the teacher. The students are encouraged to choose the topics of their projects with regard to the topics of their dissertations.
Controlled participation in lessons:
Attendance at the lectures is not obligatory. Completion of the project assignment is obligatory.
Type of course unit:
    Lecture  10 × 2 hrs. optionally                  
Course curriculum:
    Lecture Formulation of the modeled problems. Reasons for and appropriateness of using computational modeling. Model creation methodology. Adequacy (detail) of the model with respect to the desired results. Computational complexity of models. Mathematical complexity of models. Implementation methods. Integration of models with computational tools. Approaches to model formulation. Energy balance methods. Discretization and numerical methods. Direct and iterative solutions. Input and output data. Uncertainty of input data. Initial and boundary conditions. Processing and interpretation of modeling results. Parametric studies. Proposal and analysis of various scenarios. Model verification and validation. Discrepancies between simulation and experimental results. Utilization of computational models for optimization of energy systems.
Literature - fundamental:
1. Vhodnou literaturu doporučí vyučující s ohledem na konkrétní zadání projektu. Appropriate literature will be recommended by the teacher with regard to the specific project assignment.
The study programmes with the given course:
Programme Study form Branch Spec. Final classification   Course-unit credits     Obligation     Level     Year     Semester  
D-ENE-P full-time study --- no specialisation -- DrEx 0 Recommended course 3 1 W
D-ENE-K combined study --- no specialisation -- DrEx 0 Recommended course 3 1 W