Modules

Core Module Information
Module title: Modelling and Optimisation of Advanced Energy Systems
SCQF level: 11:
SCQF credit value: 20.00
ECTS credit value: 10
Module code: MEC11529
Module leader: Nazmi Sellami
School School of Computing, Engineering and the Built Environment
Subject area group: Engineering and Mathematics
Prerequisites

Requisites: Pre-requisite: [Module MEC10122] Advanced Energy Systems AND
Description of module content:

Embark on a transformative journey with the 'Modelling and Optimisation of Advanced Energy Systems' module, where you will lay the groundwork and then build your proficiency in the dynamic and increasingly essential field of energy system analysis at a master's level. This module is tailored to enhance your understanding and practical skill set in the modelling, simulation, and optimisation of energy and renewable energy systems.Through this module, you will:• Grasp the foundational concepts of energy system modelling and simulation process. You will learn how to represent energy systems using state variables, develop energy and mass balance equations, and apply simulation parameters that are critical for accurate modelling.• Dive into the core elements of simulation, acquainting yourself with the tools and techniques to bring theoretical models to a virtual representation. You'll gain the ability to simulate energy systems under various operational conditions to predict performance and identify potential improvements.• Progress to sophisticated optimisation techniques, where you will tackle real-world challenges by determining the most desirable outcomes for energy systems. Learn how to set objective functions and constraints and explore various optimisation strategies to make systems more efficient and sustainable.• Familiarise yourself with the latest software and computational tools that are integral to the modelling and optimisation process. Hands-on exercises will enable you to utilise these tools for the analysis and enhancement of energy system designs.• Establish a comprehensive understanding of how to evaluate energy system performances, including operational costs, environmental impact, and investment returns. Through this, you'll learn to apply thermo-economic and environmental perspectives to your evaluations.• Culminate your learning experience with a practical project, where you will apply your newly acquired simulation and optimisation knowledge to a real-world-based case study. This will not only solidify your understanding but also prepare you for tackling complex energy system challenges in your future career.This module is your pathway to becoming a highly skilled energy engineer who can confidently model, simulate, and optimise advanced energy systems, contributing to the advancement of sustainable and renewable energy solutions across the globe.
Learning Outcomes for module:

Upon completion of this module you will be able to

LO1: Master the practical aspects of energy system modelling, applying hands-on experience to develop and validate energy balances and simulations.

LO2: Appraise the performance of energy systems using advanced simulation tools, and critically engage with the results to suggest improvements.

LO3: Employ optimisation methods in real-world contexts to enhance the efficiency and sustainability of energy systems.

LO4: Effectively navigate and utilise computational tools and software that are essential for modern energy system analysis and optimisation.

LO5: Integrate your knowledge of energy systems through a practical project that exercises appropriate judgement and critically evaluates the performance, cost-effectiveness, and environmental impact of a real-world energy system.
Full Details of Teaching and Assessment
2024/5, Trimester 2, In Person,
VIEW FULL DETAILS
Occurrence: 001
Primary mode of delivery: In Person
Location of delivery: MERCHISTON
Partner:
Member of staff responsible for delivering module: Nazmi Sellami
Module Organiser:


Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)NESH Description
Online Guided independent study 156 Guided Independent Study - Complementing the structured sessions, you are expected to undertake guided independent study. This involves assigned readings, project work, and exercises that reinforce lecture materials and tutorial discussions, allowing you to consolidate your understanding and prepare for the summative assessments.
Face To Face Lecture 22 Lecture - You will engage with key theoretical concepts during lecture sessions, which lay the groundwork for your understanding of advanced energy system modelling and optimisation. These lectures are crafted to introduce you to complex ideas in a manageable and clear manner, promoting a deep and analytical approach to the subject matter.
Face To Face Tutorial 8 Tutorial - Our tutorial sessions are designed to enhance your understanding of complex topics, offering a space to engage with specific issues and questions that arise from lecture material and independent study. The tutorials will foster a collaborative and critical approach to learning, where you can gain clarity on challenging concepts and refine your problem-solving skills with the guidance of academic staff.
Face To Face Practical classes and workshops 14 Computer-Based Lab Classes - Practical skills are vital in energy systems analysis; therefore, computer-based lab classes are integral to the module. These sessions will give you hands-on experience with the latest simulation and optimisation software, allowing you to put theory into practice and gain confidence in using computational tools that are crucial to the field.
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words Description
Report 50 1~2~4~5 Week 7 , WORDS= 2000 words Individual Written Report (Maximum 2000 Words). This assessment requires students to develop energy system mathematical or computational modelling to analyse and validate the performance of an advanced engineering system. The final submission should demonstrate a clear understanding of energy system challenges, supported by critical thinking and sound judgment.
Report 50 1~2~3~4~5 Week 13 , WORDS= 2000 words Individual Written Report (Maximum 2000 Words)This assessment requires students to develop mathematical or computational models of energy systems to analyse and optimise the performance of an advanced engineering system. Students must select an appropriate system, quantify its performance, identify the optimal configuration, and propose improvements. The final report should reflect a deep understanding of energy system challenges, supported by critical analysis and sound engineering judgement.
Component 1 subtotal: 50
Component 2 subtotal: 50
Module subtotal: 100

Indicative References and Reading List - URL:
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