Energy: Resources, Transfer and StorageLaajuus (6 cr)
Code: ET22TE02
Credits
6 op
Objective
Discuss Sankey diagrams with respect to climate change impacts
Review and evaluate a range of low carbon energy generation technologies
Appraise the benefits/limitations of developing energy storage solutions
Describe the challenges of renewable energy and grid distribution infrastructure
Identify `nudge´ psychology with policy to modify human behavioural patterns
Content
This course focuses on a number of renewable low carbon and rapidly emerging energy storage alternatives. Specifically, those related to the transport and power generation sectors. It will discuss current and future implementation as a means to limit the emissions of GHG’s and thereby mitigate the effects of global warming.
Qualifications
No prerequisites.
Assessment criteria, satisfactory (1)
It will contain basic summaries/descriptions of some of the topics covered and will contain some sense of the student’s learning, but it may be sketchy, disorganised, short, or lacking a sense of progression. While there will be some evidence of understanding, the work will show very limited evidence of critical selection, analysis and reflection.
Assessment criteria, good (3)
It will show a clear and developing understanding of the concepts and issues addressed in the course, and provide both critical analysis and reflection on the topics of the course. The work will cover the main topics/themes but may draw on supplementary resources as well. There will be clear evidence of the student’s own learning process and of active engagement with the course content.
Assessment criteria, excellent (5)
It will not only demonstrate comprehensive and relevant coverage of the course
material but it will also present substantial analysis, evaluation and synthesis.
Work in this range will draw on a considerable amount of supplementary resources, take a particularly original approach to reflection, or point out exceptionally insightful or unexpected links between different elements of the course. The work submitted will reflect a persistent and high level of engagement and learning and will demonstrate a cumulative understanding of the course material
Materials
Course documentation, relevant teaching materials and reference documents are found on Moodle
Enrollment
02.07.2024 - 22.09.2024
Timing
29.08.2024 - 15.12.2024
Number of ECTS credits allocated
6 op
Mode of delivery
Contact teaching
Campus
Vasa, Wolffskavägen 33
Teaching languages
- English
Degree programmes
- Degree Programme in Energy Technology
- Degree Programme in Electrical Engineering and Automation
Teachers
- Philip Hollins
Teacher in charge
Ronnie Sundsten
Scheduling groups
- ET24 (Size: 40. Open UAS: 0.)
- ELA21-E (Size: 40. Open UAS: 0.)
Groups
-
ET24D-VEnergy Technology, 2024
-
ELA21D-VIngenjör (YH), el- och automationsteknik, 2021, dagstudier
Small groups
- ET24
- ELA21-E
Objective
Discuss Sankey diagrams with respect to climate change impacts
Review and evaluate a range of low carbon energy generation technologies
Appraise the benefits/limitations of developing energy storage solutions
Describe the challenges of renewable energy and grid distribution infrastructure
Identify `nudge´ psychology with policy to modify human behavioural patterns
Content
This course focuses on a number of renewable low carbon and rapidly emerging energy storage alternatives. Specifically, those related to the transport and power generation sectors. It will discuss current and future implementation as a means to limit the emissions of GHG’s and thereby mitigate the effects of global warming.
Location and time
Autumn-Winter 2024 Place: Vaasa Campus
Lectures in class are held in Novia according to the schedule in Peppi/Tuudo.
The time for submission of assessed material and any additional materials is within the lecture lesson schedule - or no later than two weeks after the last lesson.
Materials
Course documentation is within Moodle together with relevant teaching materials and reference documents
Teaching methods
Competence objectives of the study unit
This module familiarises students with a number of renewable low carbon and rapidly emerging energy storage alternatives, specifically, those related to the transport and power generation sectors. It will discuss current and future implementation as a means to limit the emissions of GHG’s and thereby mitigate the effects of global warming.
Areas that will be considered are: National power mix, Intermittency and dispatchability, Sankey diagrams, Intro' to energy Storage options, Solar/Wind - key technologies, SAM Modelling software, RetScreen Modelling software and Nuclear power considerations
Format of delivery
Lectures, group presentations/video, group work, self-study and study visit(s)
Information and study materials are provided in Moodle for the course
Student workload
6 ETCS = 162 hours
Contact teaching and computer classes approx ~ 30 hr
Study visits ~4hr
Independent (and group) studying and preparation ~128 hr
Evaluation scale
H-5
Assessment criteria, satisfactory (1)
It will contain basic summaries/descriptions of some of the topics covered and will contain some sense of the student’s learning, but it may be sketchy, disorganised, short, or lacking a sense of progression. While there will be some evidence of understanding, the work will show very limited evidence of critical selection, analysis and reflection.
Assessment criteria, good (3)
It will show a clear and developing understanding of the concepts and issues addressed in the course, and provide both critical analysis and reflection on the topics of the course. The work will cover the main topics/themes but may draw on supplementary resources as well. There will be clear evidence of the student’s own learning process and of active engagement with the course content.
Assessment criteria, excellent (5)
It will not only demonstrate comprehensive and relevant coverage of the course
material but it will also present substantial analysis, evaluation and synthesis.
Work in this range will draw on a considerable amount of supplementary resources, take a particularly original approach to reflection, or point out exceptionally insightful or unexpected links between different elements of the course. The work submitted will reflect a persistent and high level of engagement and learning and will demonstrate a cumulative understanding of the course material
Assessment methods and criteria
To complete the course the following criteria are used for evaluation:
1, Individual short report (10%)
2. Group SAM model simulation/presentation (25%)
3. Group RetScreen model simulation/presentation (25%)
4. Individual review report of group work (40%)
4. Attendance to lectures/study visits (compulsory/informed absence)
FYI. Grade scale used - modification of EPS
Assessment criteria, fail (0)
<50% of the maximum number of credits earned in the assignments
Assessment criteria, satisfactory (1-2)
50-59% (=1) or 60-69% (=2) of the maximum number of credits earned in the assignments respectively
Assessment criteria, good (3-4)
70-79% (=3) or 80-89% (=4) of the maximum number of credits earned in the assignments respectively
Assessment criteria, excellent (5)
90-100% (=5) of the maximum number of credits earned in the assignments respectively
Qualifications
No prerequisites.
Enrollment
15.06.2023 - 03.09.2023
Timing
04.09.2023 - 17.12.2023
Number of ECTS credits allocated
6 op
Mode of delivery
Contact teaching
Unit
Faculty of Technology and Seafaring
Campus
Vasa, Wolffskavägen 33
Teaching languages
- English
Degree programmes
- Degree Programme in Energy Technology
- Degree Programme in Electrical Engineering and Automation
Teachers
- Philip Hollins
Teacher in charge
Ronnie Sundsten
Scheduling groups
- ET23 (Size: 30. Open UAS: 0.)
- ELA21-E (Size: 30. Open UAS: 0.)
Groups
-
ET23D-VEnergy Technology, 2023
-
ELA21D-VIngenjör (YH), el- och automationsteknik, 2021, dagstudier
Small groups
- ET23
- ELA21-E
Objective
Discuss Sankey diagrams with respect to climate change impacts
Review and evaluate a range of low carbon energy generation technologies
Appraise the benefits/limitations of developing energy storage solutions
Describe the challenges of renewable energy and grid distribution infrastructure
Identify `nudge´ psychology with policy to modify human behavioural patterns
Content
This course focuses on a number of renewable low carbon and rapidly emerging energy storage alternatives. Specifically, those related to the transport and power generation sectors. It will discuss current and future implementation as a means to limit the emissions of GHG’s and thereby mitigate the effects of global warming.
Location and time
Autumn-Winter 2023 Place: Vaasa Campus
Lectures in class are held in Novia according to the schedule in Peppi/Tuudo.
The time for submission of assessed material and any additional materials is within the lecture lesson schedule - or no later than two weeks after the last lesson.
Materials
Course documentation is within Moodle together with relevant teaching materials and reference documents
Teaching methods
Competence objectives of the study unit
This module familiarises students with a number of renewable low carbon and rapidly emerging energy storage alternatives, specifically, those related to the transport and power generation sectors. It will discuss current and future implementation as a means to limit the emissions of GHG’s and thereby mitigate the effects of global warming.
Areas that will be considered are: National power mix, Intermittency and dispatchability, Sankey diagrams, Solar/Wind - key technologies, SAM Modelling software, Hydropower, Nuclear power, Intro' energy storage- options
Format of delivery
Lectures, group presentations, group work, self-study, computer classes and study visit(s)
Information and study materials are provided in Moodle for the course
Student workload
6 ETCS = 162 hours
Contact teaching and computer classes approx ~ 30 hr
Study visits ~4hr
Independent (and group) studying and preparation ~128 hr
Evaluation scale
H-5
Assessment criteria, satisfactory (1)
It will contain basic summaries/descriptions of some of the topics covered and will contain some sense of the student’s learning, but it may be sketchy, disorganised, short, or lacking a sense of progression. While there will be some evidence of understanding, the work will show very limited evidence of critical selection, analysis and reflection.
Assessment criteria, good (3)
It will show a clear and developing understanding of the concepts and issues addressed in the course, and provide both critical analysis and reflection on the topics of the course. The work will cover the main topics/themes but may draw on supplementary resources as well. There will be clear evidence of the student’s own learning process and of active engagement with the course content.
Assessment criteria, excellent (5)
It will not only demonstrate comprehensive and relevant coverage of the course
material but it will also present substantial analysis, evaluation and synthesis.
Work in this range will draw on a considerable amount of supplementary resources, take a particularly original approach to reflection, or point out exceptionally insightful or unexpected links between different elements of the course. The work submitted will reflect a persistent and high level of engagement and learning and will demonstrate a cumulative understanding of the course material
Assessment methods and criteria
To complete the course the following criteria are used for evaluation:
1. Individual learning diaries
2. Individual short report
3. Group SAM model simulation and presentation
4. Individual review report of group work
5. Attendance to lectures/study visits
FYI. Grade scale used - modification of EPS
Assessment criteria, fail (0)
<50% of the maximum number of credits earned in the assignments
Assessment criteria, satisfactory (1-2)
50-59% (=1) or 60-69% (=2) of the maximum number of credits earned in the assignments respectively
Assessment criteria, good (3-4)
70-79% (=3) or 80-89% (=4) of the maximum number of credits earned in the assignments respectively
Assessment criteria, excellent (5)
90-100% (=5) of the maximum number of credits earned in the assignments respectively
Qualifications
No prerequisites.