| Subject name (in Hungarian, in English) | Energy and environmental measurements | |||
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Energy and Environmental Measurements
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| Neptun code | BMEGEENBGEK | |||
| 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 | 1 | 2 | |
| nature (connected / stand-alone): | - | - | individual | |
| Type of assessments (quality evaluation) | mid-term grade | |||
| ECTS | 3 | |||
| Subject coordinator | name: | Dr. Józsa Viktor | ||
| post: | associate professor | |||
| contact: | jozsa@energia.bme.hu | |||
| Host organization | Department of Energy Engineering | |||
| http://www.energia.bme.hu/ | ||||
| Course homepage | https://edu.gpk.bme.hu/ | |||
| Course language | hungarian, english | |||
| Primary curriculum type | mandatory elective | |||
| Direct prerequisites | Strong prerequisite | BMEGEMIBXMT | ||
| Weak prerequisite | BMEGEENBGKG | |||
| Parallel prerequisite | ||||
| Milestone prerequisite | at least obtained 0 ECTS | |||
| Excluding condition | BMEGEENBGEB, BMEGEENAG51 | |||
Aim
The aim of the course is to discuss measurement procedures and available measurement methods. It places emphasis on learning about temperature measurement methods and designing them in different environments. In addition to temperature measurement, pressure transducers are also discussed, as they are the second most important equipment by means of energy production. The aim of the measurement methods is the practical application of the basics thermodynamic and heat transfer learned in theory. One of the cornerstones of the subject is the calibration of the sensors, the estimation of their uncertainty, which is recommended to be determined for each measurement.
Learning outcomes
Competences that can be acquired by completing the course
Knowledge
Knows the conceptual framework of measurements and how to perform them. Knows the practical application of temperature measurement. Knows how to calibrate a commonly used linear temperature or pressure sensor. Identifies thermal boundary conditions in real-world applications. Understands estimating the uncertainty of systems with multiple sensors. Determines the location and design of temperature sensors. Student is familiar with the proper placement and design of temperature sensors. Understands the measurement possibilities of heat conduction, heat transfer and heat radiation. Student names the calorific value determination methods used in practice. Student is informed about the possibilities and methods of industrial pressure measurement.
Ability
Designs a commonly used linear sensor calibration procedure. Defines the real boundary conditions of energy systems. Capable of designing, integrating and calibrating measuring systems. Select the right thermometer for a given application, taking into account different practical considerations. Selects the appropriate data collection system for given application. Proposes an appropriate measurement plan for simple energy measurements. Identifies relevant elemental heat processes in energy systems. Uses energy system measurement data reduction and uncertainty estimation techniques. Designs the right measuring system for simple energy measurements. Evaluates the measurement data collected to facilitate decision making.
Attitude
Organizes the measurement tasks, problems and their solution into a system based on specific sources. Susceptible to accepting well-founded professional critical remarks. Connects and collaborates with fellow students to solve tasks. Expands the own knowledge and uses a systems approach in thinking. Student is self-critical and emphasizes the development of continuous professional knowledge. Supports the integration of the latest measurement tools into workflows. Strives to deepen and improve the available techniques, to solve technical problems. Publishes measurement results and evaluation including error estimation.
Independence and responsibility
Committed to continuously following, understanding and accepting literature. Accepts the criticism and is ready to judge its relevance professionally. As a member of a group, one can work together with fellows to solve technical problems. Supports the integration of a system-wide approach to problem solving. As a prospective engineer, student is responsible for the effects of energy systems on the environment.
Teaching methodology
The course integrates frontal presentations and group project work, the latter building on all analytical, simplified numerical and detailed numerical (finite element) problem solving. In-person lectures take place in front of a blackboard (“chalk and brainstorming” type education) or are available online, and laboratories take place in a computer room. At the end of the mandatory laboratory measurements to be taken in the second half of the semester, students will have the opportunity for a personal consultation, which is necessary for high-level group work. The Matlab use if facilitated by the online OnRamp tutorial which is mandatory to complete by the end of the third week.
Support materials
Textbook
Hugh W. Coleman, W. Glenn Steele: Experimentation, validation, and uncertainty analysis for engineers, Wiley, 2018, Hoboken, ISBN: 9781119417668
Lecture notes
V. Józsa et al .: Measurement guides for Energy and Environmental Measurement subject, BME Dept. of Energy Engineering, 2020, Budapest
Online material
ftp://ftp.energia.bme.hu/pub/Energetikai_es_kornyezetvedelmi_meresek/segedletet
ftp://ftp.energia.bme.hu/pub/Measurement_at_Energy_and_Env._Protection/ Presentations /
ftp://ftp.energia.bme.hu/pub/Energetikai_es_kornyezetvedelmi_meresek/jegyzokonyvek/
Validity of the course description
| Start of validity: | 2023. May 1. |
| End of validity: | 2027. July 15. |
General rules
The requirements for the semester are (1) to write the mid-term examination, (2) to have a mandatory minimum participation in each laboratory, and thus to write the "check in exam" with a mandatory minimum score, and (3) to submit measurement reports for all laboratory practises made in groups of 4-5 people. Each of them must have a minimum score of 40%. All three requirements give 1/3 of the grade. Replacement of missed laboratory practices is mandatory. If this is not possible during the semester, a pre-arranged laboratory practice will be provided, however, the deadline for submission of the group protocol will not change. Retake of the mid-term examination and replacement of laboratory check-in exams is only possible during the replacement week. The replacement opportunity can also be used to achieve a better grade, ie to improve. We always consider the better result.
Assessment methods
Detailed description of mid-term assessments
| Mid-term assessment No. 1 | ||
| Type: | formative assessment, simple | |
| Number: | 1 | |
| Purpose, description: | The partial performance evaluation is written from the material of the introductory lectures. It includes both theoretical knowledge of temperature measurement principles and design, linear calibration of sensors and associated statistical quantities, and uncertainty estimation. The theoretical part is multiple choice test, with the possibility of several appropriate answers (60%). The practical part is the calculation of the calibration and the uncertainty (40%). There is no minimum completion requirement and can be skipped. | |
| Mid-term assessment No. 2 | ||
| Type: | formative assessment, simple | |
| Number: | 1 | |
| Purpose, description: | Each laboratory practice begins with a check-in exam that covers the material enclosed, usually 5-10-page-long laboratory guide. This assessment makes it easier for students to properly prepare for the measurements. Therefore, the time frame allowed can be used to perform the measurements and discuss the details with the responsible person who only needs to support the measurement. Tasks should be shared among group members. Hence, the allowed time frame can be used for performing the measurements and discussing the details with the responsible person who has to only support the measurement. The tasks should be shared between the group members. This short exam might consist of either theoretical questions listed at the end of each guide or solving problems using the presented expressions in the guide or in combination. This exam takes less than 10 minutes if one comes prepared. | |
| Mid-term assessment No. 3 | ||
| Type: | formative assessment, simple | |
| Number: | 5 | |
| Purpose, description: | Submitting laboratory reports from each laboratory practices. A general guide is given which lists the mandatory elements and provides examples: setting the aim, introducing the measurement setup and the necessary theoretical background, presenting and discussing the results, and concluding the outcome(s). The appendix should contain all uncertainty and calibration calculations. Besides the documentation, all the calculations should also be submitted as an attachment. The submission has to be confirmed by each group member and all the members will share the result. | |
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 | 33 % |
| Mid-term assessment No. 2 | 33 % |
| Mid-term assessment No. 3 | 34 % |
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
At least 70% the exercises (rounded down) must be actively attended.
At least 70% 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).
| Can the submitted and accepted partial performance assessments be resubmitted until the end of the replacement period in order to achieve better results? | ||
| NO | ||
| 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 cannot be improved or repeated, the final result is assessed in accordance with Code of Studied 122. § (6) | ||
| Completion of unfinished laboratory exercises: | ||
| missed laboratory practices may be redeemed by alternative partial assessment by the end of the retake 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 | 42 |
| mid-term preparation for practices | 7 |
| preparation for laboratory practices | 14 |
| elaboration of a partial assessment task | 28 |
| altogether | 91 |
Validity of subject requirements
| Start of validity: | 2023. May 1. |
| End of validity: | 2027. July 15. |
Primary course
The primary (main) course of the subject in which it is advertised and to which the competencies are related:
Energy 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 has the knowledge of the scientific and technical theory and practice closely related to the profession of energy engineer, with an appropriate level of manual skills.
Ability
- Student has the ability to process, organise and analyse information collected during the operation of energy and energy supply systems and processes and to draw conclusions from this information.
Attitude
- Student shall apply a systems and process-oriented approach to student's activities, based on a complex approach, with a focus on sustainability and energy awareness.
Independence and responsibility
- Student shares the knowledge and experience with those in the field through formal, non-formal and informal information transfer.
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) |
none |
|
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 |