Smart Grids and Sustainable Energy Systems - 2024 entry
MODULE TITLE | Smart Grids and Sustainable Energy Systems | CREDIT VALUE | 15 |
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MODULE CODE | ENGM031 | MODULE CONVENER | Prof Zhong Fan (Coordinator) |
DURATION: TERM | 1 | 2 | 3 |
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DURATION: WEEKS | 0 | 6 | 0 |
Number of Students Taking Module (anticipated) | 25 |
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Progress towards Net-Zero is bringing a revolutionary change in fossil fuel-based power systems and forcing the transition to a low carbon Smart Grid. The main concepts in smart grids and sustainable energy systems will be discussed with a focus on the smart grid network architecture, enabling ICT technologies and standards, demand management, data analytics, cyber security, integration of low-carbon technologies such as intermittent renewables, electric vehicles, and storage. This module assesses their impact on network planning, economic design and operation, security, reliability and system resilience, as well as societal benefits.
This module aims to help you understand the key Smart Grid concepts with a focus on the smart grid network architecture, enabling ICT technologies, integration of renewable energy resources, demand management and other low-carbon technologies into the power network.
Module Specific Skills and Knowledge:
1. Understand the concepts of a Smart Grid and enabling ICT technologies, and critically evaluate the associated advantages and challenges
2. Describe the technical, economic and societal issues related to the planning and operation of a power network reliant on intermittent renewables and other low carbon technologies
3. Evaluate the applicability of different smart grid solutions under a variety of low carbon energy scenarios
4. Understand the state-of-the-art technologies used in digitalisation and decarbonisation of the power network and to increase the customer engagement in the operation and control of the network
Discipline Specific Skills and Knowledge:
5. Evaluate the opportunities and challenges associated with the digitalisation of engineering systems
6. Application of IoT, industry 4.0 and digital twin technologies within engineering systems
Personal and Key Transferable/ Employment Skills and Knowledge:
7. Develop critical thinking skills through analysing and solving problems related to smart grids
8. Oral and written communication skills
9. Acquire research and analytical skills that can be applied to further studies or employment
Whilst the module’s precise content may vary from year to year, an example of an overall structure is as follows:
- Introduction to Smart Grids, Smart grid architecture, the 4Ds of energy systems
- Backbone of smart grid: communication networks architecture, layered model, physical layer, MAC protocols
- IP addressing, IoT networks
- Smart grid comms, IEC 61850, Time synchronisation
- Cyber security and privacy, Public-key cryptography, blockchain
- Data analytics and machine learning for IoT and SG
- Industrial IoT, digital twin and industry 4.0
- Demand side management, prosumers, and VPP
- Renewables, multi-vector energy systems and energy storage
- Interoperability, standards, case studies, and testbeds
Scheduled Learning & Teaching Activities | 42 | Guided Independent Study | 108 | Placement / Study Abroad | 0 |
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Category | Hours of study time | Description |
Scheduled learning and teaching activities | 24 | Lectures |
Scheduled learning and teaching activities | 18 | Tutorials and Drop in |
Guided independent study | 108 | Lecture and assessment preparation and associated reading |
Form of Assessment | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
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Quizzes | Two quizzes each which typically require one hour | 1-8 | Oral |
Coursework | 100 | Written Exams | 0 | Practical Exams | 0 |
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Form of Assessment | % of Credit | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
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Coursework report | 50 | 3000 words | 1-8 | Written |
Presentation | 25 | 10 minutes recorded with slides | all | Written |
Quiz | 25 | 1-hour | 1-6, 8 | Written |
Original Form of Assessment | Form of Re-assessment | ILOs Re-assessed | Time Scale for Re-assessment |
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Coursework report (50%) | Coursework report | 1-8 | Referral/Deferral period |
Quiz (25% | Quiz | 1-6, 8 | Referral/Deferral period |
Presentation (25%) | Presentation | all | Referral/Deferral period |
Reassessment will be by coursework and/or written exam in the failed or deferred element only. For referred candidates, the module mark will be capped at 50%. For deferred candidates, the module mark will be uncapped.
information that you are expected to consult. Further guidance will be provided by the Module Convener
Basic reading:
Ammar Rayes; Samer Salam, 2022. Internet of Things from Hype to Reality
Andrew S. Tanenbaum; David J. Wetherall, 2014. Computer Networks. 5th Ed.
Shady S. Refaat; Miroslav M. Begovic, 2021. Smart Grid and Enabling Technologies.
Web-based and electronic resources:
Other resources:
Reading list for this module:
Type | Author | Title | Edition | Publisher | Year | ISBN |
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Set | Bollen, M.H.J. | The Smart Grid: Adapting the Power System to New Challenges | 2011 | |||
Set | Salman, S.K. | Introduction to the Smart Grid - Concepts, Technologies and Evolution | 2017 | |||
Set | Gellings, C.W. | Smart Grid Planning and Implementation | 2015 |
CREDIT VALUE | 15 | ECTS VALUE | 7.5 |
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PRE-REQUISITE MODULES | None |
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CO-REQUISITE MODULES | None |
NQF LEVEL (FHEQ) | 7 | AVAILABLE AS DISTANCE LEARNING | No |
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ORIGIN DATE | Friday 22nd March 2024 | LAST REVISION DATE | Friday 17th May 2024 |
KEY WORDS SEARCH | Smart Grid, Low Carbon Technologies, Renewable Energy, Economic Despatch, Optimal Power Flow |
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Please note that all modules are subject to change, please get in touch if you have any questions about this module.