GREENHOUSE GAS REDUCTION TECHNOLOGIES IN TRANSPORT (POLLUTION SOURCES)
| Title | ΤΕΧΝΟΛΟΓΙΕΣ ΜΕΙΩΣΗΣ ΑΕΡΙΩΝ ΘΕΡΜΟΚΗΠΙΟΥ ΣΤΙΣ ΜΕΤΑΦΟΡΕΣ (ΠΗΓΕΣ ΡΥΠΑΝΣΗΣ) / GREENHOUSE GAS REDUCTION TECHNOLOGIES IN TRANSPORT (POLLUTION SOURCES) |
| Code | 321 |
| Faculty | Engineering |
| School | Mechanical Engineering |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Spring |
| Coordinator | Leonidas Ntziachristos |
| Common | Yes |
| Status | Active |
| Course ID | 20000378 |
Programme of Study: UPS of School of Mechanical Engineering
Registered students: 13
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Energy | Elective Course belonging to the selected specialization (Elective Specialization Course) | 10 | 5 | 5 |
| Academic Year | 2025 – 2026 |
| Class Period | Spring |
| Faculty Instructors | |
| Weekly Hours | 4 |
| Total Hours | 52 |
| Class ID | 600287933
|
Course Type 2021
Specialization / Direction
Course Type 2016-2020
- Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600287933
- eLearning: https://elearning.auth.gr/enrol/index.php?id=4400
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Thermodynamics, fluid mechanics, heat transfer, transport phenomena
Learning Outcomes
The course trains students to:
- Understand the power flows of conventional, electric, and hybrid road vehicles
- Calculate emissions from road transport using the COPERT tool
- Optimize the energy systems of vehicles (engines, electric motors, power transmission, etc.) using software
- Understand the basic operational characteristics of ships' propulsion
- Design and analyze key elements of a ship's propulsion system using software
- Design and energy calculations for powertrains in vehicles (engines, motors, batteries, etc.)
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Make decisions
- Work autonomously
- Work in teams
- Design and manage projects
Course Content (Syllabus)
Introduction
Climate change, greenhouse gases (GHG), transport fleets, transport contribution to GHG emissions
Road vehicle powertrains
Vehicle free body diagram, driving resistances, power calculation, ΤΤW energy consumption, conventional powertrains, transmission ratios, electric powertrains, power battery technologies, battery operation characteristics, vehicle electric motors, ΤΤW/WTW comparisons
Hybrid system topologies
OVC/NOVC hybrid systems, powertrain configurations (series, parallel, power-split), controls, regenerative braking, charge deplete/sustain operation modes
Energy management algorithms
Energy management system, power distribution optimization, dynamic programming, rule based algorithms, equivalent consumption minimization, model predictive control, reinforcement learning approaches
Powertrain simulation software (Siemens Amesim)
Vehicle model setup, component parameterization, component connection, operational profile, operation simulation, forward-face and backward-face solutions, understanding results
Emission calculation for vehicle fleets
Vehicle classification, emission factors, activity level, emissions calculations, COPERT software, TTW/WTW methods
Ship propulsion systems
Ship categories, hull design and resistance, wake coefficient, fixed and controllable pitch propellers, operation range, propeller law, propulsion system configurations, marine engines, light/heavy load, MCR, shaft generators
Fuel consumption decrease technologies
CII/EEXI/EEDI regulations, hull technologies, hydrodynamic improvements for the propeller, azimuth thruster, diesel-electric propulsion, wind assisted propulsion, alternative fuels
Vessel propulsion simulation
Model setup, consumers, engine room design, hybridization, operation modes, consumption optimization
Keywords
powertrains, hybrid systems, controls, optimization algorithms
Educational Material Types
- Notes
- Slide presentations
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
Description
Presentations using an overhead beamer
Use of internet for the transfer of educational material
Use of specialised simulation software
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 40 | 1.3 | ✓ | ✓ | |
| Tutorial | 3 | 0.1 | ✓ | ✓ | |
| Interactive Teaching in Information Center | 8 | 0.3 | ✓ | ||
| Project | 72 | 2.4 | ✓ | ✓ | |
| Written assigments | 24 | 0.8 | ✓ | ✓ | |
| Exams | 3 | 0.1 | ✓ | ✓ | |
| Total | 150 | 5 |
Student Assessment
Description
The students need to carry out tηρεε different projects during the semester, in which they are orally examined. The final score is calculated according to: Σ (i=1...3) [16.67% *(Project i + Oral Exam i)], where the score for each project and oral exam received values in the range 0 to 10.
Student Assessment methods
- Oral Exams (Formative, Summative)
- Report (Formative, Summative)
- Labortatory Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Hybrid Electric Vehicles, https://onlinelibrary.wiley.com/doi/book/10.1002/9781118970553. Κωδικός βιβλίου στον Εύδοξο: 91697017
Vehicle Powertrain Systems, https://onlinelibrary.wiley.com/doi/book/10.1002/9781119958376. Κωδικός βιβλίου στον Εύδοξο: 80503171
Additional bibliography for study
Hybrid Electric Vehicle System Modelling and Control, https://onlinelibrary.wiley.com/doi/book/10.1002/9781119278924. Κωδικός βιβλίου στον Εύδοξο: 91697016
Last Update
30-01-2025
