| Subject name (in Hungarian, in English) | Measurements in Energy Engineering | |||
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Measurement in EnergyEng.
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| Neptun code | BMEGEENNWME | |||
| 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): | 0 | 0 | 2 | |
| nature (connected / stand-alone): | - | - | individual | |
| Type of assessments (quality evaluation) | mid-term grade | |||
| ECTS | 3 | |||
| Subject coordinator | name: | Dr. Cséfalvay Edit | ||
| post: | associate professor | |||
| contact: | csefalvay@energia.bme.hu | |||
| Host organization | Department of Energy Engineering | |||
| http://www.energia.bme.hu/ | ||||
| Course homepage | ftp://ftp.energia.bme.hu/pub/Measurements_in_Thermal_Engineering_BMEGEENMWM2/ | |||
| Course language | english | |||
| Primary curriculum type | mandatory | |||
| Direct prerequisites | Strong prerequisite | none | ||
| Weak prerequisite | ||||
| Parallel prerequisite | ||||
| Milestone prerequisite | at least obtained 0 ECTS | |||
| Excluding condition | BMEGEENMWM2 | |||
Aim
The aim of the course is to introduce the measurement procedures and basic methods of data processing in the field of energy. Within this, the subject focuses primarily on the methods of measuring the temperature, their fitting to different physical systems and the peculiarities of their power plant use. It is also intended to acquaint the subject with the mechanisms, sources, measurement methods, measurement systems and their elements of solid and gaseous emissions. Demonstration of their practical use and measurements with them within the framework of the subject are also done in order to deepen practical experience and knowledge.
Learning outcomes
Competences that can be acquired by completing the course
Knowledge
Knows the temperature measurement methods and the applicable transmitters. Informed about the design and installation requirements for temperature sensors. Understands the methods of computer data collection, the structure, advantages and disadvantages of systems. He has accurate knowledge of the mechanisms of solid and gaseous emissions. Systematizes the equipment for measuring gaseous emissions and their operation. Systematizes the measurement principles and operation of equipment used for measuring solid emissions. Knows the elements of power plant measurement and control systems and the operation of the interveners. Knows how to study dynamic systems. Understands the effect of operating parameters on emissions. Student is informed about the measurement of the operating and thermal parameters of thermodynamic cycles.
Ability
Apply the acquired knowledge and put it into practice in the field of temperature measurement. Able to understand and solve problems in the field of design and installation of temperature sensors. Able to cultivate oneself, to raise the own knowledge to a higher level in the field of emissions. Able to understand and solve problems in the field of measurement of gaseous pollutants. Use methods of solid contaminants measurements to understand and solve problems. Investigates the dynamic properties of thermal engineering and energy systems. One is able to interpret the data measured by power plant measurement systems and can set correlations with the operation of control and intervention systems. One is able to design a computerized data collection system to determine various emissions. Proposes emission-friendly operating parameter values. One can determine the operating and thermal parameters of thermodynamic cycles by measurements.
Attitude
One supports the implementation of the requirements of sustainability, economy and energy efficiency in energy engineering. One strives to plan and carry out the tasks at a professionally high level independently or in a working group. One seeks to carry out the work in a complex approach based on a systems-based and process-oriented mindset. Applying the acquired modeling knowledge, one strives to get to know the observable phenomena as thoroughly as possible, to describe and explain their laws. One is open to a continuous self-education in mechanical modeling, as well as in other relating fields, in line with the own professional goals. One expands the field of engineering with new knowledge and scientific results.
Independence and responsibility
Collaborates with the instructor and fellow students to expand knowledge. Accepts well-founded professional and other critical remarks. In some situations, as part of a team, One works with fellow students to solve tasks. Having this knowledge, One is able to a responsible, well-founded decision based on own analyzes. One feels responsibility for the sustainable use of the environment, and for present and future generations. One is committed to the principles and methods of systematic thinking and problem solving.
Teaching methodology
During the teaching of the subject, laboratory lectures presenting the background of the measurement and laboratory exercises (measurements) follow each other. Demonstration lectures, which present the theoretical background of the given field and the background information necessary for understanding the measurement before the laboratory exercises. Students are basically introduced to the knowledge competence elements and the aims of the study using the technique of frontal education. Lectures include pre-published slides, so students can add their own notes to the lecture. Laboratory sessions promote the application of knowledge and skill-level acquisition with topics related to demonstration laboratory lectures. During the laboratory measurements, the tasks are solved partly jointly and partly individually during the preliminary laboratory demonstrations or using the independently acquired knowledge with the help of the laboratory manager.
Support materials
Textbook
A book with an ISBN number is not yet available for the subject.
Lecture notes
Notes or the subject is not yet available.
Online material
ftp://ftp.energia.bme.hu/pub/Measurements_in_Thermal_Engineering_BMEGEENMWM2/
Validity of the course description
| Start of validity: | 2021. May 3. |
| End of validity: | 2025. December 31. |
General rules
Summative assessments collectively examine and assess students ’learning outcomes defined by knowledge-type competencies. Accordingly, each summative assessment assesses the acquisition of the designated theoretical knowledge, the existence of knowledge and the application of skills. The 4 partial performance assessments assess the application of acquired knowledge, skill level acquisition and application of skills in practical sessions. These are done depending on the progress of the exercises, 5 points can be obtained each. The condition for completing the course is a result of at least 50% of each of the evaluations.
Assessment methods
Detailed description of mid-term assessments
| Mid-term assessment No. 1 | ||
| Type: | summative assessment | |
| Number: | 2 | |
| Purpose, description: | Summative assessments collectively examine and assess students ’learning outcomes defined by knowledge and ability type competencies. Accordingly, each summative assessment assesses the acquisition of the designated theoretical knowledge. They will be completed on the date specified in the academic performance evaluation plan, expected to be in the 9th and 14th weeks of education. Each of the two summative performance evaluations can earn 30-30 points. | |
| Mid-term assessment No. 2 | ||
| Type: | formative assessment, simple | |
| Number: | 4 | |
| Purpose, description: | Partial performance assessment is used for the complex assessment of one's knowledge, ability, attitude, as well as independence and responsibility type competence elements. Its appearance is the individually prepared measurement report. The mandatory content elements and formal requirements are available in the FTP folder of the subject department, and the evaluation is performed by the person in charge of laboratory measurement, taking into account the specifics of the given measurement system. The 4 partial performance evaluations each contribute 10% to the final grade. | |
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 | 60 % |
| Mid-term assessment No. 2 | 40 % |
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] | 72 % - 85 % |
| satisfactory (3) | Satisfactory [D] | 65 % - 72 % |
| sufficient (2) | Pass [E] | 50 % - 65 % |
| insufficient (1) | Fail [F] | below 50 % |
The lower limit specified for each grade already belongs to that grade.
Attendance and participation requirements
At least 85% of laboratory practices (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 | ||
| Can the submitted and accepted partial performance assessments be resubmitted until the end of the replacement period in order to achieve better results? | ||
| NO | ||
| The way of retaking or improving a summary assessment for the first time: | ||
| each summative assessment can be retaken or improved | ||
| Is the retaking-improving of a summary assessment allowed, and if so, than which form: | ||
| retake or grade-improving exam possible for each assesment separately | ||
| 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 | ||
| The way of retaking or improving a partial assessment for the first time: | ||
| partial assesment(s) in this group can be improved or repeated once up to the end of the repeat period | ||
| Completion of unfinished laboratory exercises: | ||
| missed laboratory practices must be performed in the repeat period | ||
| Repetition of laboratory exercises that performed incorrectly (eg.: mistake in documentation) | ||
| incorrectly performed laboratory practice (e.g. Incomplete/incorrect report) can be corrected upon improved re-submission | ||
Study work required to complete the course
| Activity | hours / semester |
|---|---|
| participation in contact classes | 28 |
| preparation for laboratory practices | 14 |
| preparation for summary assessments | 32 |
| elaboration of a partial assessment task | 16 |
| altogether | 90 |
Validity of subject requirements
| Start of validity: | 2021. May 3. |
| End of validity: | 2025. December 31. |
Primary course
The primary (main) course of the subject in which it is advertised and to which the competencies are related:
Mechanical modelling
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 has the theoretical and practical knowledge and methodological skills to design, manufacture, model, operate and manage complex engineering systems and processes
- Student has the knowledge of the scientific theories (mathematical, mechanical, fluid mechanics, thermal and electronic) and computational methods relevant to mechanical engineering research and development.
- Student has the knowledge of a wide range of problem-solving techniques for research or scientific work.
Ability
- Student has the ability to apply and put into practice the knowledge acquired, using problem-solving techniques.
- Student has the ability to understand and solve problems to be solved and to generate original ideas.
- Student has the ability to define, solve and manage complex research and development tasks based on a systems approach and process-oriented thinking.
Attitude
- Student has the ability to plan and carry out tasks to a high professional standard, either independently or in a team.
- Student conducts scientific research and applications of mathematics in accordance with ethical standards.
- Student is committed to adding new knowledge and scientific results to the field of engineering.
Independence and responsibility
- Student acts independently and proactively in solving technical problems.
- Student has the ability to take responsibility for managing the professional work of a small or large group.
- Student independently selects and applies relevant problem-solving methods when solving professional tasks.
Prerequisites for completing the course
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Knowledge type competencies
(a set of prior knowledge, the existence of which is not obligatory, but greatly facilitates the successful completion of the subject) |
none |
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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) |
none |