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ENGI44I10: Smart Energy Networks 4

It is possible that changes to modules or programmes might need to be made during the academic year, in response to the impact of Covid-19 and/or any further changes in public health advice.

Type Tied
Level 4
Credits 10
Availability Available in 2023/24
Module Cap None.
Location Durham
Department Engineering

Prerequisites

Corequisites

  • As specified in programme regulations.

Excluded Combinations of Modules

  • As specified in programme regulations.

Aims

  • This module is designed solely for students studying Department of Engineering degree programmes.
  • To provide an overview and describe the characteristics of energy networks.
  • To explain the working principles of systems for integrating renewable energy sources.
  • To explain the technical constraints and potential solutions related to smart energy networks.

Content

  • Future energy systems
  • Advanced metering infrastructure
  • Demand side management
  • Renewable energy integration
  • Overview of power system operation
  • Fault analysis and protection
  • Stability analysis and control

Learning Outcomes

Subject-specific Knowledge:

  • An appreciation of the impacts of increasing renewable electrical power generation on the existing infrastructure of electrical power systems.
  • A knowledge of modern design trends in the areas of energy distribution and consumption.
  • A knowledge of power system protection and fault calculations.
  • A knowledge of advanced smart grid technologies in future energy systems.

Subject-specific Skills:

  • An awareness of current technology, analysis methods and industrial practices along with the ability to apply those methods in novel situations.
  • An in-depth knowledge and understanding of specialised and advanced technical and professional skills, an ability to perform critical assessment and review and an ability to communicate the results of their own work effectively.

Key Skills:

  • Capacity for independent self-learning within the bounds of professional practice.
  • Specialised numerical skills appropriate to an engineer.
  • Mathematics relevant to the application of advanced engineering concepts.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • The module content is delivered in lectures.
  • Students are able to make use of staff 'Tutorial Hours' to discuss any aspect of the module with teaching staff on a one-to-one basis. These are sign up sessions available for up to one hour per week per lecture course.
  • Written timed examinations are appropriate because of the wide range of analytical, in-depth material covered in this module and allow students to demonstrate the ability to solve advanced problems independently.

Teaching Methods and Learning Hours

ActivityNumberFrequencyDurationTotalMonitored
Lectures20Typically 1 per week1 Hour20 
Tutorial HoursAs requiredWeekly sign-up sessionsUp to 1 Hour10 
Preparation and Reading70 
Total100 

Summative Assessment

Component: ExaminationComponent Weighting: 100%
ElementLength / DurationElement WeightingResit Opportunity
Written Examination2 hours100 

Formative Assessment

N/A

More information

If you have a question about Durham's modular degree programmes, please visit our Help page. If you have a question about modular programmes that is not covered by the Help page, or a query about the on-line Postgraduate Module Handbook, please contact us.

Prospective Students: If you have a query about a specific module or degree programme, please Ask Us.

Current Students: Please contact your department.