Study Guide

Objective

The student:
- knows the structure of the battery
- knows different types of batteries
- knows the advantages and disadvantages of different battery types
- knows about energy storage systems with batteries.

Content

Basic basic knowledge of battery technology
Different battery types
Energy storage system

Location and time

28.01.2024 -

Materials

Compendium
Supplementary material.

Teaching methods

Lectures
Assignments
Laboratory work
Self studies

Exam schedules

The exam is (preliminary) arranged week 8.

Completion alternatives

Written exam and assignments.

Student workload

A total of 81 hours, of which lectures / exercises 32 hours.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Know the basic technology.
Know different battery types.
Know the concepts that describe the storage ability.
Understands the whole, from raw material to recycling.

Assessment criteria, good (3)

Know different battery technologies and their characteristics.
Know about the pros and cons of different battery types.
Understands the concepts that describe the pros and cons of different energy storage systems.
Know the key factors that affect the life span.

Assessment criteria, excellent (5)

Is well versed in electrochemical principles and their practical significance.
Can select the appropriate battery type based on given specifications.
Can calculate and analyze capacity and charge / and discharge curves.
Master the whole in theory and practice.

Assessment methods and criteria

Written exam (33.3 % for passing grade, 30 % of course grade).
Assignments (70 % of the course grade).

Assessment criteria, fail (0)

Less than 33.3 % of the total score.

Assessment criteria, satisfactory (1-2)

Grade 1: 33.3 % - 47.2 % of the total score.
Grade 2: 47.3 % - 61.1 % of the total score.

Assessment criteria, good (3-4)

Grade 3: 61.2 % - 74.9 % of the total score.
Grade 4: 75.0 % - 88.8 % of the total score.

Assessment criteria, excellent (5)

More than 88.8 % of the total score.

Qualifications

No prerequisites

Objective

Explain the principle of whole crop utilization and the biomass value pyramid
Describe how biobased plastics and biocomposites alternatives can be used
Awareness biomass feedstock process pathway(s)
Differentiate between different forms of biorefinery enterprise
Utilize the Ansoff matrix in conjunction with biobased business development

Content

This introductory online course consists of a number of interconnected modules that underpin the keys themes and technologies essential for the transition to a more sustainable and bio-economic future.

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

Qualifications

No prerequisites.

Objective

After completing the course, students are expected to have knowledge about the design of production-relevant internal combustion engines. They should master the thermodynamic and combustion technology basics as well as constructive aspects of manufacturing methods, material selection, etc.

Furthermore, students should also have knowledge about emission formation from different diesel and otto processes and knowledge about the methods to reduce the emissions.

Content

PART 1: Internal Combustion Engine - fundamentals

1) Introduction to Engine types
2) Design and operating parameters
3) Thermodynamic processes and cycles
4) Thermochemistry of Fuel-Air mixtures
5) Gas Exchange processes
6) Pollutant Formation and Control
7) Modelling and simulation

PART 2: Combustion Technologies

1) Principles
- Burning of gaseous-, liquid-, solid fuels

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

The student knows:
- different types of engines and working principles
- the main parts of the combustion engine, gas exchange and combustion.
- various thermodynamic processes, properties and calculations.
- how the use of the internal combustion engine in different contexts and disciplines.

Assessment criteria, good (3)

The student knows how different components and design affect engine performance and emission formation. The student is able to calculate and select significant engine components.

Assessment criteria, excellent (5)

The student is able to independently:
- design different IC engine applications.
- design technical solutions that affect the combustion engine.
- Calculate mass forces, torques and vibrations in the internal combustion engine.
- argue for and present different choices of engines and technical solutions.

Qualifications

No prerequisites.

Objective

Knowledge and understanding
After completing the course, the student should be able to:
- describe how Boolean algebra can be applied in digital circuit contexts
- analyze and simplify logic circuits
- describe the difference between digital components and low-level programs

Skills and Abilities
After completing the course, the student should be able to:
- plan and realize simple digital circuits
- use the rules for simplifying circuits
- create simple low-level programs and macros

Evaluation ability and Approach
After completing the course, the student should be able to:
- perform relevant selections of components and logical building blocks
- justify the choice of digital solution

Content

Number systems, codes and number conversion.
Logical algebra and gate circuits.
Logical functions and combinatorics.
Locking signals.
Circuit reduction with Karnaugh diagram.
Digital flip-flops.
Basics of Assembler programming.

Location and time

Weeks.39-45
Wolffskavägen 3

Materials

Course compendium
Supplementary material

Teaching methods

Lectures/Supervised teaching
Simulations
Self studies

Exam schedules

Course examination three weeks after completing the course.
Theory exam w. 44-45.
Submission of laboratory assignments according to given deadlines

Student workload

In addition to participating in the lecture and laboratory sessions, the course requires active own work.
The initial theory of number systems and transformation, as well as Boolean logic, requires abundant own work for complete understanding.
The laboratory tasks and their documentation are carried out mainly in class, but also outside lecture hours.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Knowledge about the most basic binary logic and truth tables.
Knowledge about the most elementary logic circuits and components.
Knowledge about the basic principles for the design and simulation of simple digital circuits.

Assessment criteria, good (3)

Is well acquainted with binary logic and truth tables.
Have a good knowledge of logical circuits, components and their characteristic properties.
Have a good knowledge of how to design and simulate simple digital circuits.

Assessment criteria, excellent (5)

Has an excellent understanding of Boolean logic.
Has excellent insight into logic circuits, components and their characteristic properties.
Can independently design and simulate digital circuitry.

Assessment methods and criteria

The course is assessed according to exam results and assignments.

Assessment criteria, fail (0)

Less than 40% of the course credits.

Assessment criteria, satisfactory (1-2)

40% - 63% of the course credits.

Assessment criteria, good (3-4)

64% - 87% of the course credits.

Assessment criteria, excellent (5)

At least 88% of the course credits.

Qualifications

No prerequisites.

Objective

Knowledge and understanding
After completing the course, the student should be able to
- Knows the theory and the principle of distributed energy systems.
- Understand requirement of electric grid and micro-grid.
- Understands fundamentals of peak shaving and self-consumption optimization.
- Work with Modelling tool TRNSYS

Skills and Abilities
After completing the course, student should be able to:
- Design Model of energy exchange between building envelope and the surrounding
- Understand basics skills of control and monitoring systems.
- Use, describe and visualize facts from existing references documents.
- Understand safety issues related to distributed energy systems.

Evaluation Ability and Approach
After completing the course, the student should be able to:
- Model energy exchange between building envelope and the surrounding using TRNSYS
- Select relevant technology based on application.

Content

Generation, transmission, distribution and consumption
Energy Supply Security
Distributed Power Generations/Smart Grids/Microgrids
Energy Efficiency/Energy storage
Introduction to Transient System Simulation Tool (TRNSYS)
Building Energy simulations

Materials

Course documentation, relevant teaching materials and reference documents found in Moodle

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

35% – 60% of course work and exam completed

Assessment criteria, good (3)

60% – 85% of course work and exam completed

Assessment criteria, excellent (5)

85% – 100% of course work and exam completed

Qualifications

No prerequisites.

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.

Objective

The student:
- knows the main parts of the frequency converter
- knows the operating principle of the frequency converter
- knows the commissioning and use of a the frequency converter.

Content

- AC motor
- the frequency converter
- motor control
- commissioning / use of frequency converter

Materials

Facts Worth Knowing about Frequency Converters (Danfoss).
Manufacturer's information and operating instructions.
Supplementary material.

Teaching methods

Lectures
Practical laboratotry exercises
Self studies

Completion alternatives

Course exam (50 % of course grades) and report from the practical exercises (50 % of course grades).

Student workload

A total of 81 hours, of which lectures/exam 12 hours and laboratory exercises 24 hours.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Can describe different ways of converting DC voltage to AC voltage.
Know about different functional principles.
Know the advantages and disadvantages of using frequency converters.

Assessment criteria, good (3)

Can describe how to control the size of the AC voltage.
Can describe the function at different load requirements.
Can explain the advantages and disadvantages of using electrical connections.

Assessment criteria, excellent (5)

Can explain the operation of the control circuits and make calculations at specific loads.
Master the calculations of losses when using frequency converters.
Can describe the appearance of harmonics and what this entails and can describe and calculate filter circuits.

Assessment methods and criteria

Written exam + laboratory report.

Assessment criteria, fail (0)

Less than 50% of the total score.

Assessment criteria, satisfactory (1-2)

More than 50% of the total score.

Assessment criteria, good (3-4)

More than 70% of the total score.

Assessment criteria, excellent (5)

More than 90% of the total score.

Qualifications

Power Electronics

Objective

The student:
- knows the main parts of the frequency converter
- knows the operating principle of the frequency converter
- knows the commissioning and use of a the frequency converter.

Content

- AC motor
- the frequency converter
- motor control
- commissioning / use of frequency converter

Materials

Facts Worth Knowing about Frequency Converters (Danfoss).
Manufacturer's information and operating instructions.
Supplementary material.

Teaching methods

Lectures
Practical laboratotry exercises
Self studies

Completion alternatives

Course exam (50 % of course grades) and report from the practical exercises (50 % of course grades).

Student workload

A total of 81 hours, of which lectures/exam 12 hours and laboratory exercises 24 hours.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Can describe different ways of converting DC voltage to AC voltage.
Know about different functional principles.
Know the advantages and disadvantages of using frequency converters.

Assessment criteria, good (3)

Can describe how to control the size of the AC voltage.
Can describe the function at different load requirements.
Can explain the advantages and disadvantages of using electrical connections.

Assessment criteria, excellent (5)

Can explain the operation of the control circuits and make calculations at specific loads.
Master the calculations of losses when using frequency converters.
Can describe the appearance of harmonics and what this entails and can describe and calculate filter circuits.

Assessment methods and criteria

Written exam + laboratory report.

Assessment criteria, fail (0)

Less than 50% of the total score.

Assessment criteria, satisfactory (1-2)

More than 50% of the total score.

Assessment criteria, good (3-4)

More than 70% of the total score.

Assessment criteria, excellent (5)

More than 90% of the total score.

Qualifications

Power Electronics

Objective

The student:
- knows the basics in electrical engineering
- knows the terminology that's needed for the course AC Drives
- knows the basic mathematics for calculating electrical circuits

Content

- DC circuits
- AC circuits
- three phase alternating current
- effect calculations
- transformers
- motors / generators
- electrical safety

Location and time

02.09.2024 – 27.10.2024

Materials

Compendium
Supplementary material.

Teaching methods

Lectures
Calculation exercises
Self studies

Exam schedules

The exam is arranged week 43.

Completion alternatives

Written exam (and preparatory exam).

Student workload

A total of 81 hours, of which lectures / calculation exercises 36 hours (weeks 36 - 43).

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Know how power sources and resistors works in a circuit.
Can calculate currents and voltages in simple DC and AC circuits.
Knows the relationship between active, reactive and apparent power.
Can describe the structure and properties of the transformer.
Can describe the construction and characteristics of DC motors.

Assessment criteria, good (3)

Can calculate serial and parallel connections in resistive, inductive and capacitive circuits.
Masters the calculation of the power of simple series and parallel circuits.
Understands the principle of a symmetrical three-phase system
Can describe the function of transformers.
Can describe the basic functions of AC motors and generators.

Assessment criteria, excellent (5)

Can calculate current and voltage in combined series and parallel connections of resistors, inductors and capacitors.
Knows the principles for power adjustment and phase compensation.
Can calculate voltages and currents in Y- and D-connected symmetrical three-phase systems.
Can describe the function of three phase transformers.
Can perform AC motor calculations e.g. efficiency, torque and effect.

Assessment methods and criteria

Written exam, at least 33.3 % for approved course grade. (50 % calculation tasks, 50 % theory tasks in the exam).
No own material allowed at the exam.
Preparatory exam, can raise the calculation part of the exam (only) at approved course exam (does not apply at re-takes).

Assessment criteria, fail (0)

Less than 33.3% of the total points.

Assessment criteria, satisfactory (1-2)

Rating 1: 33.3 % - 47.2 % of total points.
Rating 2: 47.3 % - 61.1 % of total points.

Assessment criteria, good (3-4)

Rating 3: 61.2 % - 74.9 % of the total points.
Rating 4: 75.0 % - 88.8 % of total points.

Assessment criteria, excellent (5)

More than 88.8 % of the total points.

Qualifications

No prerequisites.

Objective

Knowledge and understanding
After completing the course, the student should be able to:
- explain the advantages of using IoT solutions
- define the need for IoT solutions in applications

Skills and Abilities
After completing the course, the student should be able to:
- create simple Node-Red applications
- communicate using Wireless communication
- optimize the availability of data using Cloud services
- analyze the needs for Smart home solutions

Evaluation Ability and Approach
After completing the course, the student should be able to:
- select relevant technology based on application
- justify the choice of technology in IoT applications

Content

Introduction and Raspberry PI
What is IoT and the future
Getting to know Raspberry PI: Installation, Node-red, Dashboard, MQTT
One hands on exercise (Node-Red and MQTT)

Wireless technology
Overview of the wireless technology used today: Bluetooth, Wifi, LoraWAN (and Sigfox), NB IoT with 4G and 5G cellular network
How to connect LoraWAN sensors. LoraWAN commercial network from Digita (national network) and global open network from The Things Network.
Make your own IoT sensor with ESP32 and DS18B20, a battery powered temperature sensor with Wifi.
3 Hands on exercises (Bluetooth & Wifi, LoraWAN and ESP32)

Cloud services for IoT
Basic overview
Azure and/or AWS
One hands on exercise

Smart home
Using cloud services and Raspberry Pi to control and measuring your home.
Using voice control with smart speakers from Amazon and Google.
One hands on exercise

Materials

Lecturer's slides and handouts

Reference book:
Exploring Raspberry Pi: Interfacing to the Real World with Embedded Linux by Derek Molloy

Evaluation scale

H-5

Assessment criteria, approved/failed

Approved: Active participation in lectures and excercises, approved portfolio
Otherwise, not approved.

Qualifications

No prerequisites

Objective

Knowledge and understanding
After completing the course, the student should be able to:
- explain the difference between low-level and high-level programmed microcontroller-based systems
- define the need for register configuration based on application
- define the need for Interrupt functionality based on application
- describe the advantages and disadvantages of microcontroller-based systems based on application

Skills and Abilities
After completing the course, the student should be able to:
- create interactive microcontroller-based applications
- optimize performance using interrupt routines
- use, describe and visualize facts from existing reference documents
- communicate with external equipment

Evaluation Ability and Approach
After completing the course, the student should be able to:
- perform relevant choices of methodology in the design of application
- justify the choice of program and register structure
- select relevant technology based on application

Content

The structure of the microcontroller

High level programming in C
- Embedded functions and techniques

Interrupt controlled functions:
- Timers
- A/D conversion
- Communication

Materials

Own compendium
Data sheets and reference documents

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Possesses basic knowledge of the microcontroller and its function and structure.
Possesses basic knowledge of programming in microcontroller environments.

Assessment criteria, good (3)

Is well acquainted with the function and structure of microprocessors.
Have a good knowledge of how to program microcontroller-based systems.
Is well acquainted with the use of interrupted routines.

Assessment criteria, excellent (5)

Has excellent insight into the function and structure of microprocessors.
Capability of independent creation of applications for microcontroller-based systems.
Recognizes the importance of the reference documentation and possesses the ability to create functionality with its help.
Includes innovative solutions in the assignments.

Qualifications

Digital logic basics
Practical Boolean control

Objective

Students will learn relevant modeling and optimization skills and apply them to energy system planning problems.
The course focuses on both theory and use of software.

Content

- Modeling technical and economic considerations as optimization problems
- Learning to model and solve certain types of optimization problems using software
- Using Matlab, Excel and specialized software to perform calculations and present results

Materials

Shared documents with theory and exercises
Software tutorial materials
Course literature

Teaching methods

Lectures
Computer lab sessions
Home assignments and small projects

Exam schedules

An exam scheduled during normal lecture hours towards the end of the course.

Student workload

Lectures 36 h
Home assignments and projects 25 h
Self studies 20 h

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

35% – 60% of course work and exam completed

Assessment criteria, good (3)

60% – 85% of course work and exam completed

Assessment criteria, excellent (5)

85% – 100% of course work and exam completed

Assessment methods and criteria

Homework assignments
Project work
Exam

Assessment criteria, satisfactory (1-2)

40% – 60% of course work and exam completed

Assessment criteria, good (3-4)

60% – 85% of course work and exam completed

Assessment criteria, excellent (5)

85% – 100% of course work and exam completed

Qualifications

No prerequisites.

Objective

Knowledge and understanding
After completing the course, the student should be able to:
- describe how Boolean gates are applied in digital circuit contexts
- analyze and simplify Boolean logic circuits
- explain the function of Flip-Flops

Skills and Abilities
After completing the course, the student should be able to:
- plan and realize a digital circuit with Boolean design
- re-design and simplify combinatorial circuits
- develop a stand-alone solution in a PLC environment

Evaluation ability and Approach
After completing the course, the student should be able to:
- perform relevant selections of Boolean components, logical building blocks and PLC program structures
- justify the choice of logical functions of a digital solution (circuit or PLC program)

Content

Boolean design with logical circuits
Boolean design with PLC

Materials

Relevant textbooks and online information.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Possesses the ability to create a relevant structural solution to the problem.

Assessment criteria, good (3)

Possesses the ability to realize a solution model that is mostly functional.

Assessment criteria, excellent (5)

Possesses the ability to create a fully functioning solution model that, to some extent, has its own innovative elements.

Qualifications

Digital technology

Objective

The student knows Basic Project Management terminology and knowledge areas.
Furthermore the student is familiar with central documents and elements required in
project management, such as a project plan, time schedule, budget and a risk assessment
matrix. The student understands the basic principles of project management.

Content

Basic terminology in PM, PM
Knowledge areas (PMBoK), basics
Documentation for a project

Materials

PMI: A guide to the Project Management Body of Knowledge,
ISO SFS standard 21500,
Fundamentals in Project Management, available on ebrary with Novia accesscodes.
Other possible literature recommended by the teacher.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

The student is able, with guidance, to utilize the methods learnt during the study unit.

Assessment criteria, good (3)

The student is able to utilize the methods learnt during the study unit independently.

Assessment criteria, excellent (5)

The student is able to utilize the methods learnt during the study unit independently and is able apply the learnt knowledge in new contexts.

Qualifications

No prerequisites.

Objective

In this introductory module, students will develop their skill set and knowledge for a range of sustainable solutions and decision-making in engineering, as well as in Life Cycle Assessment in engineering.

Content

Introduction to Sustainable Development
Circular Economy
Sustainable approach
System Analysis
Transitional Solutions
Basics of Life Cycle Assessments theory and practice (SimaPro)
Sustainable Energy Solutions
Other challenges

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 engineers with the principles of sustainability within the global, national and local context.

Areas that will be considered are: Sustainably Development Goals (SDG's), Environmental Impact Assessment (EIA), Circular Economy, Waste to Energy (Wte) and Lifecycle Analysis (LCA) modelling

Format of delivery
Lectures, presentations, group work, self-study and computer classes and study visit

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 visit ~4hr
Independent (and group) studying and preparation ~128 hr

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

35% – 60% of course work and exam completed

Assessment criteria, good (3)

60% – 85% of course work and exam completed

Assessment criteria, excellent (5)

85% – 100% of course work and exam completed

Assessment methods and criteria

To complete the course the following criteria are used for evaluation:

1. Group Presentation
2. Directed study
3. Multichoice exam
4. Video production
5. Reports + calculation


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.

Objective

The student understands the basic principles of a Thesis project.

Content

Basic terminology

Location and time

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

Novia guidelines/instruction can be found at: https://novia.libguides.com/c.php?g=265383&p=1774293
Moodle course will provide further links and instruction

Teaching methods

Competence objectives of the study unit
The objective of the course is to prepare students for their upcoming thesis by increasing their awareness of the requirements and equipping them with the tools for successful submission

Content of the study unit
Student writing/presentation/group discussion based on previous thesis examples

Format of delivery
Lectures, presentations and self-study
Information and study materials are provided in Moodle for the course

Student workload

1 ETCS = 27 hours

Contact teaching 6 h
Independent studying and preparation 21 h
Total 27 h

Assessment criteria, approved/failed

Both complete/satisfactory submission of all course work and full attendance of class sessions within the allocated time --> Approved.

If neither submission nor attendance is complete/full within the allocated time --> Not Approved

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

The student is able, with guidance, to utilize the methods learnt during the study unit.

Assessment criteria, good (3)

The student is able to utilize the methods learnt during the study unit independently.

Assessment criteria, excellent (5)

The student is able to utilize the methods learnt during the study unit independently and is able apply the learnt knowledge in new contexts.

Assessment methods and criteria

To complete the course the following criteria are used for evaluation:

1. Submission of directed study work
2. Attendance of in-class sessions
3. Submission of short review report(s)

Assessment criteria, fail (0)

None submission of directed study work (Fail)
None attendance of in-class sessions (Fail)
Poor/None submission of two short review reports (Fail)

Assessment criteria, excellent (5)

Full submission of directed study work (Pass)
Full attendance of in-class sessions (Pass)
Excellent/Full submission of two short review reports (Pass)

Qualifications

No prerequisites.

Objective

The student:
- is acquainted with the basic principles of control engineering
- is able to analyse a control system
- has the practical skills required to use and tune a PID controller.

Content

- control engineering and its applications
- components and block schemes
- process characteristics
- process types and step responses
- feedback loop systems
- different control methods
- PID controllers
- tuning PID controllers

Location and time

Vaasa, spring 2025

Materials

Relevant course literature
System manuals

Teaching methods

Lectures, exercises and laboratory exercises.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

The student is acquainted with the basic terminology of control engineering, knows the most important analysis principles of control engineering, and is able to tune a PID controller for common control objects.

Assessment criteria, good (3)

The student is well acquainted with the basic terminology of control engineering, knows well methods to analyse control objects, and is able to implement PID controllers by means of different tools.

Assessment criteria, excellent (5)

The student is able to utilize the basic terminology for structuring control engineering problems, is able to use system analysis to solve control engineering problems, is able to recognize the limitations of PID control, and knows alternative control methods.

Assessment methods and criteria

The course assessment is based on:
- the documentation of compulsory laboratory exercises
- assignments to be handed in
- course exam

Qualifications

No requirements in advance

Objective

The student:
- is acquainted with the basic principles of control engineering
- is able to analyse a control system
- has the practical skills required to use and tune a PID controller.

Content

- control engineering and its applications
- components and block schemes
- process characteristics
- process types and step responses
- feedback loop systems
- different control methods
- PID controllers
- tuning PID controllers

Location and time

Vaasa, spring 2025

Materials

Relevant course literature
System manuals

Teaching methods

This course runs in English.

Lectures, exercises and laboratory exercises.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

The student is acquainted with the basic terminology of control engineering, knows the most important analysis principles of control engineering, and is able to tune a PID controller for common control objects.

Assessment criteria, good (3)

The student is well acquainted with the basic terminology of control engineering, knows well methods to analyse control objects, and is able to implement PID controllers by means of different tools.

Assessment criteria, excellent (5)

The student is able to utilize the basic terminology for structuring control engineering problems, is able to use system analysis to solve control engineering problems, is able to recognize the limitations of PID control, and knows alternative control methods.

Assessment methods and criteria

The course assessment is based on:
- the documentation of compulsory laboratory exercises
- assignments to be handed in
- course exam

Qualifications

No requirements in advance

Objective

The student:
- knows and understands the use and need of transformers of various kinds
- is able to understand and explain the basic functions of different types of transformers
- is able to calculate losses, voltage drops and efficiency of transformers
- knows and understands the functions of different peripherals.

Content

Magnetic circuits.
Application of magnetic circuits for different types of transformers.
Basic functions and connections for transformers.
Calculation of losses, voltage drops and efficiency of transformers.
Single-phase transformers
Three-phase transformers
Special transformers
Instrument transformers

Materials

Compendiums of course responsible and info from transformer manufacturers.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Knows the significance of transformers historically and in the present.
Can describe the structure and properties of the transformer in an electrical grid.
Can describe three-phase transformer connections.
Can name and explain the principle for different special transformers.
Can calculate voltage drop in single phase and three phase transformers

Assessment criteria, good (3)

Can describe the function of transformers with physical grounding.
Can calculate voltage drops and losses under load.
Can calculate voltage drop and efficiency at different loads.
Can describe the operating principles for eg. spark-coupled transformers.

Assessment criteria, excellent (5)

Master the relationships between electrical quantities in the operation of transformers.
Master different ways of describing and calculating transformer equivalent schemes.
Can calculate and describe transformer coupling index and turnover for different couplings.
Can describe and calculate important limiting data for current transformers

Qualifications

Electric and magnetic fields.

Objective

Knowledge and understanding
After completing the course, the student should be able to:
- explain the difference between low-level and high-level programmed microcontroller-based systems
- define the need for register configuration based on application
- define the need for Interrupt functionality based on application
- describe the advantages and disadvantages of microcontroller-based systems based on application

Skills and Abilities
After completing the course, the student should be able to:
- create interactive microcontroller-based applications
- optimize performance using interrupt routines
- use, describe and visualize facts from existing reference documents
- communicate with external equipment

Evaluation Ability and Approach
After completing the course, the student should be able to:
- perform relevant choices of methodology in the design of application
- justify the choice of program and register structure
- select relevant technology based on application

Content

The structure of the microcontroller

High level programming in C
- Embedded functions and techniques

Interrupt controlled functions:
- Timers
- A/D conversion
- Communication

Materials

Own compendium
Data sheets and reference documents

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Possesses basic knowledge of the microcontroller and its function and structure.
Possesses basic knowledge of programming in microcontroller environments.

Assessment criteria, good (3)

Is well acquainted with the function and structure of microprocessors.
Have a good knowledge of how to program microcontroller-based systems.
Is well acquainted with the use of interrupted routines.

Assessment criteria, excellent (5)

Has excellent insight into the function and structure of microprocessors.
Capability of independent creation of applications for microcontroller-based systems.
Recognizes the importance of the reference documentation and possesses the ability to create functionality with its help.
Includes innovative solutions in the assignments.

Qualifications

Digital logic basics
Practical Boolean control

Objective

The student:
- knows the main parts of the frequency converter
- knows the operating principle of the frequency converter
- knows the commissioning and use of a the frequency converter.

Content

- AC motor
- the frequency converter
- motor control
- commissioning / use of frequency converter

Materials

Facts Worth Knowing about Frequency Converters (Danfoss).
Manufacturer's information and operating instructions.
Supplementary material.

Teaching methods

Lectures
Practical laboratotry exercises
Self studies

Completion alternatives

Course exam (50 % of course grades) and report from the practical exercises (50 % of course grades).

Student workload

A total of 81 hours, of which lectures/exam 12 hours and laboratory exercises 24 hours.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Can describe different ways of converting DC voltage to AC voltage.
Know about different functional principles.
Know the advantages and disadvantages of using frequency converters.

Assessment criteria, good (3)

Can describe how to control the size of the AC voltage.
Can describe the function at different load requirements.
Can explain the advantages and disadvantages of using electrical connections.

Assessment criteria, excellent (5)

Can explain the operation of the control circuits and make calculations at specific loads.
Master the calculations of losses when using frequency converters.
Can describe the appearance of harmonics and what this entails and can describe and calculate filter circuits.

Assessment methods and criteria

Written exam + laboratory report.

Assessment criteria, fail (0)

Less than 50% of the total score.

Assessment criteria, satisfactory (1-2)

More than 50% of the total score.

Assessment criteria, good (3-4)

More than 70% of the total score.

Assessment criteria, excellent (5)

More than 90% of the total score.

Qualifications

Power Electronics

Objective

The student:
- is acquainted with the basic principles of control engineering
- is able to analyse a control system
- has the practical skills required to use and tune a PID controller.

Content

- control engineering and its applications
- components and block schemes
- process characteristics
- process types and step responses
- feedback loop systems
- different control methods
- PID controllers
- tuning PID controllers

Location and time

Vaasa, spring 2025

Materials

Relevant course literature
System manuals

Teaching methods

This course runs in English.

Lectures, exercises and laboratory exercises.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

The student is acquainted with the basic terminology of control engineering, knows the most important analysis principles of control engineering, and is able to tune a PID controller for common control objects.

Assessment criteria, good (3)

The student is well acquainted with the basic terminology of control engineering, knows well methods to analyse control objects, and is able to implement PID controllers by means of different tools.

Assessment criteria, excellent (5)

The student is able to utilize the basic terminology for structuring control engineering problems, is able to use system analysis to solve control engineering problems, is able to recognize the limitations of PID control, and knows alternative control methods.

Assessment methods and criteria

The course assessment is based on:
- the documentation of compulsory laboratory exercises
- assignments to be handed in
- course exam

Qualifications

No requirements in advance

Objective

Knowledge and understanding
After completing the course, the student should be able to:
- explain the advantages of using IoT solutions
- define the need for IoT solutions in applications

Skills and Abilities
After completing the course, the student should be able to:
- create simple Node-Red applications
- communicate using Wireless communication
- optimize the availability of data using Cloud services
- analyze the needs for Smart home solutions

Evaluation Ability and Approach
After completing the course, the student should be able to:
- select relevant technology based on application
- justify the choice of technology in IoT applications

Content

Introduction and Raspberry PI
What is IoT and the future
Getting to know Raspberry PI: Installation, Node-red, Dashboard, MQTT
One hands on exercise (Node-Red and MQTT)

Wireless technology
Overview of the wireless technology used today: Bluetooth, Wifi, LoraWAN (and Sigfox), NB IoT with 4G and 5G cellular network
How to connect LoraWAN sensors. LoraWAN commercial network from Digita (national network) and global open network from The Things Network.
Make your own IoT sensor with ESP32 and DS18B20, a battery powered temperature sensor with Wifi.
3 Hands on exercises (Bluetooth & Wifi, LoraWAN and ESP32)

Cloud services for IoT
Basic overview
Azure and/or AWS
One hands on exercise

Smart home
Using cloud services and Raspberry Pi to control and measuring your home.
Using voice control with smart speakers from Amazon and Google.
One hands on exercise

Materials

Lecturer's slides and handouts

Reference book:
Exploring Raspberry Pi: Interfacing to the Real World with Embedded Linux by Derek Molloy

Evaluation scale

H-5

Assessment criteria, approved/failed

Approved: Active participation in lectures and excercises, approved portfolio
Otherwise, not approved.

Qualifications

No prerequisites

Objective

Knowledge and understanding
After completing the course, the student should be able to:
- describe how Boolean gates are applied in digital circuit contexts
- analyze and simplify Boolean logic circuits
- explain the function of Flip-Flops

Skills and Abilities
After completing the course, the student should be able to:
- plan and realize a digital circuit with Boolean design
- re-design and simplify combinatorial circuits
- develop a stand-alone solution in a PLC environment

Evaluation ability and Approach
After completing the course, the student should be able to:
- perform relevant selections of Boolean components, logical building blocks and PLC program structures
- justify the choice of logical functions of a digital solution (circuit or PLC program)

Content

Boolean design with logical circuits
Boolean design with PLC

Materials

Relevant textbooks and online information.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Possesses the ability to create a relevant structural solution to the problem.

Assessment criteria, good (3)

Possesses the ability to realize a solution model that is mostly functional.

Assessment criteria, excellent (5)

Possesses the ability to create a fully functioning solution model that, to some extent, has its own innovative elements.

Qualifications

Digital technology

Objective

Knowledge and understanding
After completing the course, the student should be able to
- Knows the theory and the principle of distributed energy systems.
- Understand requirement of electric grid and micro-grid.
- Understands fundamentals of peak shaving and self-consumption optimization.
- Work with Modelling tool TRNSYS

Skills and Abilities
After completing the course, student should be able to:
- Design Model of energy exchange between building envelope and the surrounding
- Understand basics skills of control and monitoring systems.
- Use, describe and visualize facts from existing references documents.
- Understand safety issues related to distributed energy systems.

Evaluation Ability and Approach
After completing the course, the student should be able to:
- Model energy exchange between building envelope and the surrounding using TRNSYS
- Select relevant technology based on application.

Content

Generation, transmission, distribution and consumption
Energy Supply Security
Distributed Power Generations/Smart Grids/Microgrids
Energy Efficiency/Energy storage
Introduction to Transient System Simulation Tool (TRNSYS)
Building Energy simulations

Materials

Course documentation, relevant teaching materials and reference documents found in Moodle

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

35% – 60% of course work and exam completed

Assessment criteria, good (3)

60% – 85% of course work and exam completed

Assessment criteria, excellent (5)

85% – 100% of course work and exam completed

Qualifications

No prerequisites.

Objective

The student knows Basic Project Management terminology and knowledge areas.
Furthermore the student is familiar with central documents and elements required in
project management, such as a project plan, time schedule, budget and a risk assessment
matrix. The student understands the basic principles of project management.

Content

Basic terminology in PM, PM
Knowledge areas (PMBoK), basics
Documentation for a project

Materials

PMI: A guide to the Project Management Body of Knowledge,
ISO SFS standard 21500,
Fundamentals in Project Management, available on ebrary with Novia accesscodes.
Other possible literature recommended by the teacher.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

The student is able, with guidance, to utilize the methods learnt during the study unit.

Assessment criteria, good (3)

The student is able to utilize the methods learnt during the study unit independently.

Assessment criteria, excellent (5)

The student is able to utilize the methods learnt during the study unit independently and is able apply the learnt knowledge in new contexts.

Qualifications

No prerequisites.

Objective

The student:
- knows the structure of the battery
- knows different types of batteries
- knows the advantages and disadvantages of different battery types
- knows about energy storage systems with batteries.

Content

Basic basic knowledge of battery technology
Different battery types
Energy storage system

Location and time

28.01.2024 -

Materials

Compendium
Supplementary material.

Teaching methods

Lectures
Assignments
Laboratory work
Self studies

Exam schedules

The exam is (preliminary) arranged week 8.

Completion alternatives

Written exam and assignments.

Student workload

A total of 81 hours, of which lectures / exercises 32 hours.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Know the basic technology.
Know different battery types.
Know the concepts that describe the storage ability.
Understands the whole, from raw material to recycling.

Assessment criteria, good (3)

Know different battery technologies and their characteristics.
Know about the pros and cons of different battery types.
Understands the concepts that describe the pros and cons of different energy storage systems.
Know the key factors that affect the life span.

Assessment criteria, excellent (5)

Is well versed in electrochemical principles and their practical significance.
Can select the appropriate battery type based on given specifications.
Can calculate and analyze capacity and charge / and discharge curves.
Master the whole in theory and practice.

Assessment methods and criteria

Written exam (33.3 % for passing grade, 30 % of course grade).
Assignments (70 % of the course grade).

Assessment criteria, fail (0)

Less than 33.3 % of the total score.

Assessment criteria, satisfactory (1-2)

Grade 1: 33.3 % - 47.2 % of the total score.
Grade 2: 47.3 % - 61.1 % of the total score.

Assessment criteria, good (3-4)

Grade 3: 61.2 % - 74.9 % of the total score.
Grade 4: 75.0 % - 88.8 % of the total score.

Assessment criteria, excellent (5)

More than 88.8 % of the total score.

Qualifications

No prerequisites

Objective

Explain the principle of whole crop utilization and the biomass value pyramid
Describe how biobased plastics and biocomposites alternatives can be used
Awareness biomass feedstock process pathway(s)
Differentiate between different forms of biorefinery enterprise
Utilize the Ansoff matrix in conjunction with biobased business development

Content

This introductory online course consists of a number of interconnected modules that underpin the keys themes and technologies essential for the transition to a more sustainable and bio-economic future.

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

Qualifications

No prerequisites.

Objective

Students will learn relevant modeling and optimization skills and apply them to energy system planning problems.
The course focuses on both theory and use of software.

Content

- Modeling technical and economic considerations as optimization problems
- Learning to model and solve certain types of optimization problems using software
- Using Matlab, Excel and specialized software to perform calculations and present results

Materials

Shared documents with theory and exercises
Software tutorial materials
Course literature

Teaching methods

Lectures
Computer lab sessions
Home assignments and small projects

Exam schedules

An exam scheduled during normal lecture hours towards the end of the course.

Student workload

Lectures 36 h
Home assignments and projects 25 h
Self studies 20 h

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

35% – 60% of course work and exam completed

Assessment criteria, good (3)

60% – 85% of course work and exam completed

Assessment criteria, excellent (5)

85% – 100% of course work and exam completed

Assessment methods and criteria

Homework assignments
Project work
Exam

Assessment criteria, satisfactory (1-2)

40% – 60% of course work and exam completed

Assessment criteria, good (3-4)

60% – 85% of course work and exam completed

Assessment criteria, excellent (5)

85% – 100% of course work and exam completed

Qualifications

No prerequisites.

Objective

The student:
- knows and understands the use and need of transformers of various kinds
- is able to understand and explain the basic functions of different types of transformers
- is able to calculate losses, voltage drops and efficiency of transformers
- knows and understands the functions of different peripherals.

Content

Magnetic circuits.
Application of magnetic circuits for different types of transformers.
Basic functions and connections for transformers.
Calculation of losses, voltage drops and efficiency of transformers.
Single-phase transformers
Three-phase transformers
Special transformers
Instrument transformers

Materials

Compendiums of course responsible and info from transformer manufacturers.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Knows the significance of transformers historically and in the present.
Can describe the structure and properties of the transformer in an electrical grid.
Can describe three-phase transformer connections.
Can name and explain the principle for different special transformers.
Can calculate voltage drop in single phase and three phase transformers

Assessment criteria, good (3)

Can describe the function of transformers with physical grounding.
Can calculate voltage drops and losses under load.
Can calculate voltage drop and efficiency at different loads.
Can describe the operating principles for eg. spark-coupled transformers.

Assessment criteria, excellent (5)

Master the relationships between electrical quantities in the operation of transformers.
Master different ways of describing and calculating transformer equivalent schemes.
Can calculate and describe transformer coupling index and turnover for different couplings.
Can describe and calculate important limiting data for current transformers

Qualifications

Electric and magnetic fields.

Objective

The student:
- is acquainted with the basic principles of control engineering
- is able to analyse a control system
- has the practical skills required to use and tune a PID controller.

Content

- control engineering and its applications
- components and block schemes
- process characteristics
- process types and step responses
- feedback loop systems
- different control methods
- PID controllers
- tuning PID controllers

Location and time

Vaasa, spring 2025

Materials

Relevant course literature
System manuals

Teaching methods

Lectures, exercises and laboratory exercises.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

The student is acquainted with the basic terminology of control engineering, knows the most important analysis principles of control engineering, and is able to tune a PID controller for common control objects.

Assessment criteria, good (3)

The student is well acquainted with the basic terminology of control engineering, knows well methods to analyse control objects, and is able to implement PID controllers by means of different tools.

Assessment criteria, excellent (5)

The student is able to utilize the basic terminology for structuring control engineering problems, is able to use system analysis to solve control engineering problems, is able to recognize the limitations of PID control, and knows alternative control methods.

Assessment methods and criteria

The course assessment is based on:
- the documentation of compulsory laboratory exercises
- assignments to be handed in
- course exam

Qualifications

No requirements in advance

Objective

The student understands the basic principles of a Thesis project.

Content

Basic terminology

Location and time

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

Novia guidelines/instruction can be found at: https://novia.libguides.com/c.php?g=265383&p=1774293
Moodle course will provide further links and instruction

Teaching methods

Competence objectives of the study unit
The objective of the course is to prepare students for their upcoming thesis by increasing their awareness of the requirements and equipping them with the tools for successful submission

Content of the study unit
Student writing/presentation/group discussion based on previous thesis examples

Format of delivery
Lectures, presentations and self-study
Information and study materials are provided in Moodle for the course

Student workload

1 ETCS = 27 hours

Contact teaching 6 h
Independent studying and preparation 21 h
Total 27 h

Assessment criteria, approved/failed

Both complete/satisfactory submission of all course work and full attendance of class sessions within the allocated time --> Approved.

If neither submission nor attendance is complete/full within the allocated time --> Not Approved

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

The student is able, with guidance, to utilize the methods learnt during the study unit.

Assessment criteria, good (3)

The student is able to utilize the methods learnt during the study unit independently.

Assessment criteria, excellent (5)

The student is able to utilize the methods learnt during the study unit independently and is able apply the learnt knowledge in new contexts.

Assessment methods and criteria

To complete the course the following criteria are used for evaluation:

1. Submission of directed study work
2. Attendance of in-class sessions
3. Submission of short review report(s)

Assessment criteria, fail (0)

None submission of directed study work (Fail)
None attendance of in-class sessions (Fail)
Poor/None submission of two short review reports (Fail)

Assessment criteria, excellent (5)

Full submission of directed study work (Pass)
Full attendance of in-class sessions (Pass)
Excellent/Full submission of two short review reports (Pass)

Qualifications

No prerequisites.

Objective

The student:
- knows the main parts of the frequency converter
- knows the operating principle of the frequency converter
- knows the commissioning and use of a the frequency converter.

Content

- AC motor
- the frequency converter
- motor control
- commissioning / use of frequency converter

Materials

Facts Worth Knowing about Frequency Converters (Danfoss).
Manufacturer's information and operating instructions.
Supplementary material.

Teaching methods

Lectures
Practical laboratotry exercises
Self studies

Completion alternatives

Course exam (50 % of course grades) and report from the practical exercises (50 % of course grades).

Student workload

A total of 81 hours, of which lectures/exam 12 hours and laboratory exercises 24 hours.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Can describe different ways of converting DC voltage to AC voltage.
Know about different functional principles.
Know the advantages and disadvantages of using frequency converters.

Assessment criteria, good (3)

Can describe how to control the size of the AC voltage.
Can describe the function at different load requirements.
Can explain the advantages and disadvantages of using electrical connections.

Assessment criteria, excellent (5)

Can explain the operation of the control circuits and make calculations at specific loads.
Master the calculations of losses when using frequency converters.
Can describe the appearance of harmonics and what this entails and can describe and calculate filter circuits.

Assessment methods and criteria

Written exam + laboratory report.

Assessment criteria, fail (0)

Less than 50% of the total score.

Assessment criteria, satisfactory (1-2)

More than 50% of the total score.

Assessment criteria, good (3-4)

More than 70% of the total score.

Assessment criteria, excellent (5)

More than 90% of the total score.

Qualifications

Power Electronics

Objective

Knowledge and understanding
After completing the course, the student should be able to:
- describe how Boolean algebra can be applied in digital circuit contexts
- analyze and simplify logic circuits
- describe the difference between digital components and low-level programs

Skills and Abilities
After completing the course, the student should be able to:
- plan and realize simple digital circuits
- use the rules for simplifying circuits
- create simple low-level programs and macros

Evaluation ability and Approach
After completing the course, the student should be able to:
- perform relevant selections of components and logical building blocks
- justify the choice of digital solution

Content

Number systems, codes and number conversion.
Logical algebra and gate circuits.
Logical functions and combinatorics.
Locking signals.
Circuit reduction with Karnaugh diagram.
Digital flip-flops.
Basics of Assembler programming.

Location and time

Weeks.39-45
Wolffskavägen 3

Materials

Course compendium
Supplementary material

Teaching methods

Lectures/Supervised teaching
Simulations
Self studies

Exam schedules

Course examination three weeks after completing the course.
Theory exam w. 44-45.
Submission of laboratory assignments according to given deadlines

Student workload

In addition to participating in the lecture and laboratory sessions, the course requires active own work.
The initial theory of number systems and transformation, as well as Boolean logic, requires abundant own work for complete understanding.
The laboratory tasks and their documentation are carried out mainly in class, but also outside lecture hours.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Knowledge about the most basic binary logic and truth tables.
Knowledge about the most elementary logic circuits and components.
Knowledge about the basic principles for the design and simulation of simple digital circuits.

Assessment criteria, good (3)

Is well acquainted with binary logic and truth tables.
Have a good knowledge of logical circuits, components and their characteristic properties.
Have a good knowledge of how to design and simulate simple digital circuits.

Assessment criteria, excellent (5)

Has an excellent understanding of Boolean logic.
Has excellent insight into logic circuits, components and their characteristic properties.
Can independently design and simulate digital circuitry.

Assessment methods and criteria

The course is assessed according to exam results and assignments.

Assessment criteria, fail (0)

Less than 40% of the course credits.

Assessment criteria, satisfactory (1-2)

40% - 63% of the course credits.

Assessment criteria, good (3-4)

64% - 87% of the course credits.

Assessment criteria, excellent (5)

At least 88% of the course credits.

Qualifications

No prerequisites.

Objective

The student:
- knows the basics in electrical engineering
- knows the terminology that's needed for the course AC Drives
- knows the basic mathematics for calculating electrical circuits

Content

- DC circuits
- AC circuits
- three phase alternating current
- effect calculations
- transformers
- motors / generators
- electrical safety

Location and time

02.09.2024 – 27.10.2024

Materials

Compendium
Supplementary material.

Teaching methods

Lectures
Calculation exercises
Self studies

Exam schedules

The exam is arranged week 43.

Completion alternatives

Written exam (and preparatory exam).

Student workload

A total of 81 hours, of which lectures / calculation exercises 36 hours (weeks 36 - 43).

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Know how power sources and resistors works in a circuit.
Can calculate currents and voltages in simple DC and AC circuits.
Knows the relationship between active, reactive and apparent power.
Can describe the structure and properties of the transformer.
Can describe the construction and characteristics of DC motors.

Assessment criteria, good (3)

Can calculate serial and parallel connections in resistive, inductive and capacitive circuits.
Masters the calculation of the power of simple series and parallel circuits.
Understands the principle of a symmetrical three-phase system
Can describe the function of transformers.
Can describe the basic functions of AC motors and generators.

Assessment criteria, excellent (5)

Can calculate current and voltage in combined series and parallel connections of resistors, inductors and capacitors.
Knows the principles for power adjustment and phase compensation.
Can calculate voltages and currents in Y- and D-connected symmetrical three-phase systems.
Can describe the function of three phase transformers.
Can perform AC motor calculations e.g. efficiency, torque and effect.

Assessment methods and criteria

Written exam, at least 33.3 % for approved course grade. (50 % calculation tasks, 50 % theory tasks in the exam).
No own material allowed at the exam.
Preparatory exam, can raise the calculation part of the exam (only) at approved course exam (does not apply at re-takes).

Assessment criteria, fail (0)

Less than 33.3% of the total points.

Assessment criteria, satisfactory (1-2)

Rating 1: 33.3 % - 47.2 % of total points.
Rating 2: 47.3 % - 61.1 % of total points.

Assessment criteria, good (3-4)

Rating 3: 61.2 % - 74.9 % of the total points.
Rating 4: 75.0 % - 88.8 % of total points.

Assessment criteria, excellent (5)

More than 88.8 % of the total points.

Qualifications

No prerequisites.

Objective

After completing the course, students are expected to have knowledge about the design of production-relevant internal combustion engines. They should master the thermodynamic and combustion technology basics as well as constructive aspects of manufacturing methods, material selection, etc.

Furthermore, students should also have knowledge about emission formation from different diesel and otto processes and knowledge about the methods to reduce the emissions.

Content

PART 1: Internal Combustion Engine - fundamentals

1) Introduction to Engine types
2) Design and operating parameters
3) Thermodynamic processes and cycles
4) Thermochemistry of Fuel-Air mixtures
5) Gas Exchange processes
6) Pollutant Formation and Control
7) Modelling and simulation

PART 2: Combustion Technologies

1) Principles
- Burning of gaseous-, liquid-, solid fuels

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

The student knows:
- different types of engines and working principles
- the main parts of the combustion engine, gas exchange and combustion.
- various thermodynamic processes, properties and calculations.
- how the use of the internal combustion engine in different contexts and disciplines.

Assessment criteria, good (3)

The student knows how different components and design affect engine performance and emission formation. The student is able to calculate and select significant engine components.

Assessment criteria, excellent (5)

The student is able to independently:
- design different IC engine applications.
- design technical solutions that affect the combustion engine.
- Calculate mass forces, torques and vibrations in the internal combustion engine.
- argue for and present different choices of engines and technical solutions.

Qualifications

No prerequisites.

Objective

In this introductory module, students will develop their skill set and knowledge for a range of sustainable solutions and decision-making in engineering, as well as in Life Cycle Assessment in engineering.

Content

Introduction to Sustainable Development
Circular Economy
Sustainable approach
System Analysis
Transitional Solutions
Basics of Life Cycle Assessments theory and practice (SimaPro)
Sustainable Energy Solutions
Other challenges

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 engineers with the principles of sustainability within the global, national and local context.

Areas that will be considered are: Sustainably Development Goals (SDG's), Environmental Impact Assessment (EIA), Circular Economy, Waste to Energy (Wte) and Lifecycle Analysis (LCA) modelling

Format of delivery
Lectures, presentations, group work, self-study and computer classes and study visit

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 visit ~4hr
Independent (and group) studying and preparation ~128 hr

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

35% – 60% of course work and exam completed

Assessment criteria, good (3)

60% – 85% of course work and exam completed

Assessment criteria, excellent (5)

85% – 100% of course work and exam completed

Assessment methods and criteria

To complete the course the following criteria are used for evaluation:

1. Group Presentation
2. Directed study
3. Multichoice exam
4. Video production
5. Reports + calculation


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.

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.