| Subject name (in Hungarian, in English) | Advanced Thermodynamics | |||
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Advanced Thermodynamics
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| Neptun code | BMEGEENUVHT | |||
| Type | study unit with contact hours | |||
| Course types and number of hours (weekly / semester) | course type: | lecture (theory) | exercise | laboratory excercise |
| number of hours (weekly): | 2 | 1 | 0 | |
| nature (connected / stand-alone): | - | coupled | - | |
| Type of assessments (quality evaluation) | mid-term grade | |||
| ECTS | 4 | |||
| Subject coordinator | name: | Dr. Fülöp Tamás Attila | ||
| post: | associate professor | |||
| contact: | fulop@energia.bme.hu | |||
| Host organization | Department of Energy Engineering | |||
| http://www.energia.bme.hu/ | ||||
| Course homepage | ftp://ftp.energia.bme.hu/pub/ | |||
| Course language | english | |||
| Primary curriculum type | optional | |||
| Direct prerequisites | Strong prerequisite | none | ||
| Weak prerequisite | ||||
| Parallel prerequisite | ||||
| Milestone prerequisite | at least obtained 0 ECTS | |||
| Excluding condition | none | |||
Aim
The aim of the course is to acquaint students with the concepts of thermodynamics beyond the introductory level, the analytical and numerical calculation methods of thermodynamics, the levels of thermodynamic modeling, the relationship between entropy and asymptotic stability, the description of thermodynamic phases, the process-centric approach, the connection points between mechanics and thermodynamics, and generally useful skills regarding modeling, identifying distinguished scales, and analytical and computer calculations.
Learning outcomes
Competences that can be acquired by completing the course
Knowledge
The student is aware of the levels of thermodynamic modeling, the ways in which time and space dependence are taken into account. The student is knowledgeable among van der Waals and more complex fluid models. The student masters the transformation relationships among various kinds of information derived from state equations and measurements (variable transformations, Maxwell and Gibbs-Helmholtz relations). The student knows the definition of the critical point, and of the spinodal, binodal and phase boundary curves. The student can characterize the behavior of fluids in the metastable, negative-pressure, and supercritical domains. The student understands the system of ordinary differential equations describing the processes of discrete thermodynamic systems. The student understands the Reitlinger–Chambadal–Novikov–Curzon–Ahlborn heat engine and its importance in thermodynamical modeling. The student is aware of the modeling possibilities provided by the thermodynamical internal variables. The student is informed about the principles of continuum thermodynamical description. The student is aware of the limitations of thermodynamical models, the nature and extent of approximations and simplifications, and their impact on the result obtained from the model.
Ability
The student is able to choose the appropriate type of modeling for a given thermodynamical problem, according to how time and space dependence are taken into consideration. The student identifies the appropriate (van der Waals or more complex) fluid model for a given situation. The student applies the transformation of information derived from state equations and measurements (variable transformations, Maxwell and Gibbs-Helmholtz relations). The student determines the critical point, and the spinodal, binodal, and phase boundary curves. The student identifies behaviors of fluids characteristic of metastable, negative pressure, and supercritical domains. The student applies a system of ordinary differential equations describing the processes of discrete thermodynamic systems. The student operates the Reitlinger–Chambadal–Novikov–Curzon–Ahlborn heat engine model in the framework of thermodynamical modeling. The student uses thermodynamical internal variables as modeling options. The student operates the principles of continuum thermodynamical description. The student identifies the limitations of thermodynamical models, the nature and extent of approximations and simplifications, and their impact on the result obtained from the model.
Attitude
The student strives for careful, accurate, error-free work, and for continuous self-monitoring. The student expands his/her knowledge by continuously acquiring knowledge. The student is open to the use of information technology tools. The student strives to become familiar with and routinely use the system of tools needed to solve thermodynamical problems. The student strives to learn about and routinely use the tools needed to solve thermodynamic problems.
Independence and responsibility
The student independently thinks through thermodynamic problems and problems and solves them based on given sources. The student independently prepares computer documentation and oral presentation of the solution of thermodynamic problems and problems. The student accepts substantiated critical remarks. The student is committed to a systems approach in his/her thinking. The student feels a responsibility to society in his/her problem solving, and enforces this aspect in his/her work.
Teaching methodology
Presentations on a blackboard or tablet + explanation of projected background materials; classroom calculational practices related to the knowledge given in the lecture on a blackboard or tablet, also projecting background materials; device and software demonstrations; written and oral communication. Class activity is also stimulated by a system of bonus points, and students are encouraged to ask even "bad" questions and comments, and the instructor develops and explains positive morals from even these ones.
Support materials
Textbook
Matolcsi Tamás: Ordinary thermodynamics : Nonequilibrium homogeneous processes, Society for the Unity of Science and Technology, Budapest, 2017, ISBN 9786158015721
Lecture notes
Fülöp Tamás: Chapters in thermodynamics, lecture notes, BME, 2021
Online material
Validity of the course description
| Start of validity: | 2021. September 1. |
| End of validity: | 2026. August 31. |
General rules
Learning outcomes are assessed on the basis of a written presentation of the solution of a homework to be solved independently (summative academic performance evaluation). Summative academic performance evaluation (solving a complex task): a complex way of assessing the knowledge, ability, attitude, and independence and responsibility type competence elements of a subject, in the form of a solution of a complex task prepared individually and submitted in writing; the content of the problem, the requirements of the solution, the deadline for submission, and the method of evaluation are determined by the teacher of the practical course.
Assessment methods
Detailed description of mid-term assessments
| Mid-term assessment No. 1 | ||
| Type: | summative assessment | |
| Number: | 1 | |
| Purpose, description: | Summative academic performance evaluation (solving a complex task): a complex way of assessing the knowledge, ability, attitude, and independence and responsibility type competence elements of a subject, in the form of a solution of a complex task prepared individually and submitted in writing; the content of the problem, the requirements of the solution, the deadline for submission, and the method of evaluation are determined by the teacher of the practical course. | |
Detailed description of assessments performed during the examination period
The subject does not include assessment during the examination period.
The weight of mid-term assessments in signing or in final grading
| ID | Proportion |
|---|---|
| Mid-term assessment No. 1 | 100 % |
The condition for signing is that the score obtained in the mid-year assessments is at least 14%.
The weight of partial exams in grade
There is no exam belongs to the subject.
Determination of the grade
| Grade | ECTS | The grade expressed in percents |
|---|---|---|
| very good (5) | Excellent [A] | above 90 % |
| very good (5) | Very Good [B] | 85 % - 90 % |
| good (4) | Good [C] | 70 % - 85 % |
| satisfactory (3) | Satisfactory [D] | 55 % - 70 % |
| sufficient (2) | Pass [E] | 40 % - 55 % |
| insufficient (1) | Fail [F] | below 40 % |
The lower limit specified for each grade already belongs to that grade.
Attendance and participation requirements
The lack of the value means that there is no attendance requirement.
At least 70% the exercises (rounded down) must be actively attended.
Special rules for improving, retaken and replacement
The special rules for improving, retaken and replacement shall be interpreted and applied in conjunction with the general rules of the CoS (TVSZ).
| Need mid-term assessment to invidually complete? | ||
| NO | ||
| The way of retaking or improving a summary assessment for the first time: | ||
| the summative assessments can be retaken or improved only combined | ||
| Is the retaking-improving of a summary assessment allowed, and if so, than which form: | ||
| retake or grade-improving exam not possible | ||
| Taking into account the previous result in case of improvement, retaken-improvement: | ||
| out of multiple results, the best one is to be taken into account | ||
Study work required to complete the course
| Activity | hours / semester |
|---|---|
| participation in contact classes | 42 |
| mid-term preparation for practices | 7 |
| preparation for summary assessments | 16 |
| additional time required to complete the subject | 55 |
| altogether | 120 |
Validity of subject requirements
| Start of validity: | 2021. September 1. |
| End of validity: | 2026. August 31. |
Primary course
The primary (main) course of the subject in which it is advertised and to which the competencies are related:
Mechanical engineering
Link to the purpose and (special) compensations of the Regulation KKK
This course aims to improve the following competencies defined in the Regulation KKK:
Knowledge
- Student is familiar with the general and specific mathematical, scientific and social principles, rules, contexts and procedures needed to operate in the field of engineering.
Ability
- Student has the ability to apply the general and specific mathematical, scientific and social principles, rules, relationships and procedures acquired in solving problems in the field of engineering.
Attitude
- Student strives to improve student's own knowledge and that of student's colleagues through continuous self- and peer-learning.
Independence and responsibility
- Student shares her acquired knowledge and experience through formal, non-formal and informal information transfer with those in her field.
Prerequisites for completing the course
|
Knowledge type competencies
(a set of prior knowledge, the existence of which is not obligatory, but greatly facilitates the successful completion of the subject) |
The student knows the basics of mathematics and physics. |
|
Ability type competencies
(a set of prior abilities and skills, the existence of which is not obligatory, but greatly contributes to the successful completion of the subject) |
The student is able to solve basic mathematical and physical problems. |