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EG554S: ENERGY SYSTEMS ANALYSIS AND SCENARIOS (2023-2024)

Last modified: 23 Jul 2024 10:43


Course Overview

This course gives students an introduction and overview of Energy Systems Analysis (ESA), including theoretical backgrounds, example models, and hands-on model development and applications. It begins with an introduction to the field of ESA over the past decades, exploring different types of problems and modelling solutions. The course then introduces these different modelling approaches in turn, providing the students with a background in different approaches with their respective pros and cons. Subsequently, we introduce the concept of scenarios as a tool for exploring possible energy system futures.

Course Details

Study Type Postgraduate Level 5
Term Second Term Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Professor Russell McKenna

What courses & programmes must have been taken before this course?

  • Either Master Of Science In Sustainability Transitions or Master Of Science In Energy Transition Systems And Technologies
  • Any Postgraduate Programme

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

Are there a limited number of places available?

No

Course Description

This course covers the subject of Energy Systems Analysis (ESA) from an engineering-economic perspective and provides some of the required background for the course Energy System Integration. It starts by way of introduction to the field, the concept of ESA as a systems-level tool, as well as the process involved. It then gives an overview of different approaches to ESA, including simulation and optimisation tools, with a focus on recent developments in the field. Students will learn about the key challenges in this field, especially in the context of the energy transition, and the ways in which research is addressing these. Several case studies are included in order to demonstrate the application of the ESA theory and reinforce understanding of key concepts. An introduction to linear optimization methods is given, which underpins some of the later coursework assignments. Finally, the course provides students with a grounding in scenario analysis, which enables the long-term analysis of future energy systems in the context of the energy transition.


Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

Summative Assessments

Lab Report: Group

Assessment Type Summative Weighting 60
Assessment Weeks 32 Feedback Weeks 34

Look up Week Numbers

Feedback

May exam diet

Feedback written on MyAberdeen and verbal on the written assignment 

Learning Outcomes
Knowledge LevelThinking SkillOutcome
ProceduralAnalyseStudents should analyse the scope of different technologies and measures to contribute to the energy transition in the context of some partly conflicting objectives.
ProceduralApplyStudents should apply appropriate criteria to energy technologies in an ESA framework and understand the trade-offs between different measures.
ReflectionCreateStudents should create a Master Plan for the energy transition of a given energy system based on detailed analysis of the individual measures and technologies.

Exam

Assessment Type Summative Weighting 40
Assessment Weeks 40,41 Feedback Weeks 42,43,44

Look up Week Numbers

Feedback

May exam diet

Feedback to the group as a written summary, upon request individually and verbally 

Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualUnderstandStudents should know how the specific problem being addressed dictates the most suitable ESA method and approach.
FactualRememberStudents should understand the concept of energy system analysis, and the ways in which it can provide decision support for the energy transition.
ProceduralAnalyseStudents should analyse the scope of different technologies and measures to contribute to the energy transition in the context of some partly conflicting objectives.
ProceduralApplyStudents should apply appropriate criteria to energy technologies in an ESA framework and understand the trade-offs between different measures.
ReflectionCreateStudents should create a Master Plan for the energy transition of a given energy system based on detailed analysis of the individual measures and technologies.

Formative Assessment

There are no assessments for this course.

Resit Assessments

Essay

Assessment Type Summative Weighting 60
Assessment Weeks 48,49 Feedback Weeks 50,51,52

Look up Week Numbers

Feedback

July exam diet

Word Count
Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Exam

Assessment Type Summative Weighting 40
Assessment Weeks 48,49 Feedback Weeks 50,51,52

Look up Week Numbers

Feedback

July exam diet

Feedback to the group as a written summary, upon request individually and verbally 

Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
FactualRememberStudents should understand the concept of energy system analysis, and the ways in which it can provide decision support for the energy transition.
ConceptualUnderstandStudents should know how the specific problem being addressed dictates the most suitable ESA method and approach.
ProceduralApplyStudents should apply appropriate criteria to energy technologies in an ESA framework and understand the trade-offs between different measures.
ProceduralAnalyseStudents should analyse the scope of different technologies and measures to contribute to the energy transition in the context of some partly conflicting objectives.
ReflectionCreateStudents should create a Master Plan for the energy transition of a given energy system based on detailed analysis of the individual measures and technologies.

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