Durham University
Programme and Module Handbook

Postgraduate Programme and Module Handbook 2023-2024

Module ENGI45015: Internet of Everything for Energy Systems Management

Department: Engineering

ENGI45015: Internet of Everything for Energy Systems Management

Type Tied Level 4 Credits 15 Availability Not available in 2023/24
Tied to H1KC24


  • None


  • None

Excluded Combination of Modules

  • None


  • This module is designed solely for students studying on the Master of Energy Systems Management.
  • To provide an overview and describe the characteristics of the Internet of Everything (IoE) as relevant to energy systems.
  • To explain the working principles of sensors, embedded systems, energy management, data handling approaches and networking protocols relevant to the Internet of Everything.
  • To explain the technical, economical and ethical challenges associated with the development of the IoE within energy systems.


  • Sensor technologies for energy system measurements
  • Networking protocols
  • Embedded processors
  • Power management techniques and technology
  • Data processing
  • Economic and ethical implications of the IoE within energy systems.

Learning Outcomes

Subject-specific Knowledge:
  • A knowledge of benefits and limitations of technologies currently used or being developed for the IoE for energy system measurement, operation and management.
  • An appreciation of the requirements for low power operation and the impact on the associated electronic system design.
  • An understanding of relevant sensor, embedded processing, networking and power management technologies.
  • A knowledge of trends and developments for IoE in energy systems including the ethical implications.
Subject-specific Skills:
  • An ability to draw together knowledge of current technology, design and commercial practice to provide innovative solutions.
  • An ability to perform critical assessment and review of systems using specialised and advanced technical and professional skills.
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 can make use of staff 'Tutorial Hours' to discuss any aspect of the module with teaching staff. These are sign up sessions which will be available to the students.
  • The coursework assessment requires students to evaluate and communicate technical IoE concepts in the context of energy systems.

Teaching Methods and Learning Hours

Activity Number Frequency Duration Total/Hours
Lectures 20 Typically block taught over two weeks for full time students 1 hour 20
Tutorial hours As required Weekly sign-up sessions Up to 1 hour 5
Preparation and reading 125
Total 150

Summative Assessment

Component: Coursework Component Weighting: 100%
Element Length / duration Element Weighting Resit Opportunity
Coursework 2 hours 100%

Formative Assessment:

Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University