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Study information

Digital Twinning for Power System Plant - 2022 entry

MODULE TITLEDigital Twinning for Power System Plant CREDIT VALUE15
MODULE CODEENGM030 MODULE CONVENERDr Shanika Matharage (Coordinator)
DURATION: TERM 1 2 3
DURATION: WEEKS 12
Number of Students Taking Module (anticipated) 10
DESCRIPTION - summary of the module content

Power system plant transports electrical energy from the generating sources to the consumers, and includes transformers, cables, overhead lines, switchgear, and the control and monitoring equipment that ensures power quality and resilience. The basic principles and key issues in designing the plant and ensuring the operational and maintenance strategies are appropriate for a resilient smart grid future are discussed in the module. It also introduces the concept of plant digital twins. This uses condition monitoring data, in conjunction with integrated simulation models, to evaluate the thermal, electrical, mechanical and chemical properties of the plant, and assess failure-risk and life-expectancy.

AIMS - intentions of the module

The module aims to educate you about the items of plant used in a power system, with a focus on design principles, modes of operation and lifecycle management. Furthermore, it will teach you the main concepts associated with condition monitoring and asset management.  By introducing state-of-art ideas in digital twinning the module will ensure you are equipped with knowledge of the digital tools needed to manage a future low-carbon smart grid.

INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)

On successful completion of this module you should be able to:

Module Specific Skills and Knowledge:
  1. Describe the key equipment of an electrical power network and their operation principles
  2. Apply thermal, electrical, mechanical and chemical principles to the design of power system plant.
  3. Critically review condition monitoring techniques used for assessing the plant health and failure-risk.
  4. Explain the latest trends in digital twinning and its’ importance in asset management.
  5. Develop digital asset management tools for power transformers based on their condition monitoring data
  6. Recognise the environmental impact of traditional insulation materials and development process of new environmentally friendly insulation materials 
Discipline Specific Skills and Knowledge:
  1. Apply a range of computational methods to solve engineering problems
Personal and Key Transferable/ Employment Skills and Knowledge:
  1. Oral and written communication skills
  2. Effective use of learning resources
 
SYLLABUS PLAN - summary of the structure and academic content of the module
Whilst the module’s precise content may vary from year to year, an example of an overall structure is as follows: 
  1. Principles associated with the design of plant used in electrical power networks
  2. Key items of plant, including thermal, electrical and mechanical designs, and associated condition monitoring
  1. Transformers 
  2. Overhead lines
  3. Cables
  4. Switchgear
  1. Modelling of the components with respect to DC, Power frequency, switching and lighting transient perspectives
  2. Digital twinning of power system plant
  3. Asset management of equipment in the power network
 
LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
Scheduled Learning & Teaching Activities 41 Guided Independent Study 109 Placement / Study Abroad
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
Category Hours of study time Description
Scheduled learning and teaching activities 24 Lectures
Scheduled learning and teaching activities 11 Tutorials
Scheduled learning and teaching activities 6 Laboratories
Guided independent study 109 Lecture and assessment preparation and associated reading

 

ASSESSMENT
FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade
Form of Assessment Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
None      
       

 

SUMMATIVE ASSESSMENT (% of credit)
Coursework 30 Written Exams 70 Practical Exams
DETAILS OF SUMMATIVE ASSESSMENT
Form of Assessment % of Credit Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
Written exam 70 2 hours 1-4, 9 Written
Presentation 20 15-20 slides 5-9 Oral
Quiz 10 2 hours 1-4, 6, 9 Oral
         

 

DETAILS OF RE-ASSESSMENT (where required by referral or deferral)
Original Form of Assessment Form of Re-assessment ILOs Re-assessed Time Scale for Re-assessment
Written exam (70%) Written exam (2 hours) 1-4, 9 August Ref/Def period
Presentation (20%) Presentation (recorded) (15-20 slides) 5-9 August Ref/Def period
Quiz (10%) Quiz (2 hours) 1-4, 6, 9 August Ref/Def period

 

RE-ASSESSMENT NOTES

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.

RESOURCES
INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
information that you are expected to consult. Further guidance will be provided by the Module Convener

ELE – College to provide hyperlink to appropriate pages

Reading list for this module:

Type Author Title Edition Publisher Year ISBN
Set Harker, K. High Voltage Power Network Construction 2018
Set Kuffel, E. and Kuffel, J. High Voltage Engineering Fundamentals 2000
Set Bayliss, C.R. and Hardy, B.J. Transmission and Distribution Electrical Engineering 4th 2012
Set James, R.E. and Su, Q. Condition Assessment of High Voltage Insulation in Power System Equipment 2008
CREDIT VALUE 15 ECTS VALUE 7.5
PRE-REQUISITE MODULES None
CO-REQUISITE MODULES None
NQF LEVEL (FHEQ) AVAILABLE AS DISTANCE LEARNING No
ORIGIN DATE Friday 17th December 2021 LAST REVISION DATE Wednesday 6th July 2022
KEY WORDS SEARCH Digital twin, Power system plant, condition monitoring

Please note that all modules are subject to change, please get in touch if you have any questions about this module.