Module ENGI48115: Smart Energy Networks

Department: Engineering

ENGI48115: Smart Energy Networks

Prerequisites

Corequisites

Excluded Combination of Modules

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

• 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.
• AHEP4 Learning Outcomes: In order to satisfy Professional Engineering Institution (PEI) accreditation requirements the following Accreditation of Higher Education Programmes (AHEP4) Learning Outcomes are assessed within this module:
• M1. Apply a comprehensive knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems. Much of the knowledge will be at the forefront of the particular subject of study and informed by a critical awareness of new developments and the wider context of engineering (exam assessed).
• M10. Adopt a holistic and proportionate approach to the mitigation of security risks (delivered/developed).

• 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.

• 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 through lectures and reinforced by Formative Problem Sheets and Problem Classes, equipping students with the required problem-solving capability.
• Throughout the academic year, students will be required to submit Formative Problem Sheets via the virtual learning environment to monitor and consolidate their understanding as the course progresses.
• Students will attend one Discussion Class in the Michaelmas term and a second in the Epiphany term. These sessions provide an opportunity to consolidate material covered in lectures and to receive guidance and support from a demonstrator.
• At the start of the academic year, students will complete a benchmark test to assess prior knowledge and highlight areas needing further consolidation. This diagnostic activity directs students towards appropriate revision resources and independent study.
• A mock examination will be held in the Epiphany term to provide a formative, exam‑style experience. Students may then discuss their performance informally with academic staff, either during Office Hours or an Academic Adviser session, and receive targeted feedback ahead of the summative assessment.
• A further Revision Class will be held ahead of the main examination period to support students in preparing for their final assessments.
• 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.
• Students are encouraged to engage with staff Office Hours for one‑to‑one or small‑group discussion of any aspect of the module. These sessions are offered weekly during teaching, timings are published on Learn Ultra.

Teaching Methods and Learning Hours

Summative Assessment

Formative Assessment:

Formative assessment is provided by means of formative problem sheets, benchmark test and mock examinations.

■ Students who do not attend monitored activities shown under Teaching Methods and Learning Hours, or who fail to complete the summative or formative assessment(s) specified above, may be subject to the Academic Progress procedures defined in the University's General Regulation V, and may be required to leave the University.