Course detail

Computational Support in Energy

FSI-IMPAcad. year: 2022/2023

In the course, students will get acquainted with basic types of mathematic models used for design, analysis and optimization of process systems and equipment.
• Model of processing line describing mass and energy balance of a continuous process at a steady state
• Model of process equipment describing a transient process
• Model for the optimization of a process or equipment
• Model for detailed analysis of conditions inside of an equipment
Models included in the course are mostly based on a system of equations (mainly linear) and ordinary differential equations. Besides analytical solution of equations systems, students will learn how to apply basic numerical methods to the solution and the application of software tools.

Language of instruction

Czech

Number of ECTS credits

Mode of study

Not applicable.

Guarantor

Ing. Martin Lisý, Ph.D.

Department

Energy Institute (EÚ)

Learning outcomes of the course unit

Students will understand the basic principles of mathematical model design for processing and energy systems. They will also learn about model application in practice. They will get an overview of process and energy systems and the types of models that are used for design, analysis and optimization. After finishing the course, students should be able to choose appropriate type of model for the design, analysis or optimization of a system or equipment and should understand the basic principles of those models.

Prerequisites

Basic knowledge of mathematics and physics from the first four semesters at FME.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course is taught through lectures introducing the basic principles and theory, explaining of solution methods and showing solution methods. Lectures include sample problems that are solved interactively with the students, with emphasis on understanding. Lectures often include repetition of the most important prerequisites that are necessary to master the subject.

Seminars are focused on hands-on solution of problems using the knowledge from lectures, mostly computer aided, program MS Excel.

Assesment methods and criteria linked to learning outcomes

SEMINARS: Regular and active attendance is required and checked. All assignments have to be delivered and written test must be passed successfully. Test is successfully passed if more than half points are obtained. The student has the possibility of one repeat.

EXAM: The exam is written. Maximum overall number of points that can be obtained within the course is 100. The course evaluation is performed by a standard procedure, according to the number of obtained points (0-50 points …F, 51-60 points …E, 61-70 points …D, 71-80 points …C, 81-90 points …B, more than 90 points …A).

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

The objective is to acquaint students with the basic principles of mathematical models for design, analysis and optimization of industrial units (processes) or equipment. Students should be able to choose a proper model type for the solution of typical problems, understand the corresponding solution methods and be able to solve simple problems.

Specification of controlled education, way of implementation and compensation for absences

The attendance at seminars is checked, necessary condition to pass the course is regular attendance (i.e. maximum of 3 absences at seminars). Attendance at lectures is not checked, but assignments in seminars require the knowledge from lectures.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

R. M. Felder and R. W. Rousseau, Elementary Principles of Chemical Processes, 3rd Update Edition. Wiley, 2004.

Recommended reading

Agami Reddy, T.: Applied Data Analysis and Modeling for Energy Engineers and Scientists, 1 edition. Springer US, 2011
Perry, Robert H.: Perry’s chemical engineers’ handbook, McGraw-Hill, New York, 2008
Ramirez, W. F.: Computational Methods for Process Simulation, 2 edition. Oxford ; Boston: Butterworth-Heinemann, 1998

Elearning

eLearning: currently opened course

Classification of course in study plans

  • Programme B-ENE-P Bachelor's 3 year of study, winter semester, compulsory

  • Programme LLE Lifelong learning

    branch CZV , 1 year of study, winter semester, compulsory

Type of course unit

 

Computer-assisted exercise

39 hod., compulsory

Teacher / Lecturer

doc. Ing. Marek Baláš, Ph.D.
Ing. Libor Kudela, Ph.D.
Ing. Michal Špiláček, Ph.D.
Ing. Pavel Milčák, Ph.D.
Ing. Marian Brázdil, Ph.D.

Syllabus

Computer-aided seminars. Solution of assignments related to lecture subjects, mostly in MS Excel.

Elearning

eLearning: currently opened course