ECMM163: Sustainable Engineering
Sustainable engineering concerns the design or operation of systems with the aim of reducing energy demand, resource extraction and carbon emissions with the goal of minimising the impact on the environment. By transforming any sector to be more sustainable, it can play a major role in reducing the threat of climate change. But as a practising engineer you must also be aware of the wider role that sustainability plays for example in equality diversity and inclusion issues. This module discusses the interdependency between changes required across all activities of human life across all scales. This module will make you think across disciplines with the goal of evaluating sustainability on a whole system basis including resource supply and demand, energy supply and demand and sustainable management.
This module aims to provide you with an appreciation of the complexities which arise from considering sustainability and the need to tackle the issue from an interdisciplinary perspective. This module aims to provide some of the tools required to assess sustainability as well as the ability to critically analyse the extent to which a product, building, industry or service could be considered to be sustainable.
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ECMM164: MSc Dissertation
This dissertation will give you the chance to demonstrate your knowledge, to exercise your initiative and personal responsibility, and to use the research techniques and skills you have developed throughout your degree.
You will be required to solve a research or industrially-related practical problem based on the topics learned within, but not exclusive to, the MSc programme you are registered for. The project work will lead to a major piece of work (dissertation) of approximately 15,000 words (max. 80 pages, including references and appendices) that involves project planning, analytical, experimental or empirical results and their interpretation, showing how the goals of the project have been met. You will receive a list of potential projects and will be required to express your two preferences. Alternatively, you can discuss your own dissertation ideas with the module leader / potential supervisor (academic staff) with a view to explore if they offer required technical rigour and research challenge. You will be encouraged to discuss your preferences with relevant academic staff before we allocate projects. As part of the research project, you are expected to undertake a considerable amount of self-study. There is no formal taught component in the module, apart from the writing support lectures and the suggested regular meetings with your supervisor.
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ENGM009: Electric Machines and Power Electronics
Electric machines play an important role in industry, manufacturing, transportation and every aspect of our life. This module provides fundamental understanding of the main types of electric machines used in industry including DC machines, induction and synchronous machines. You will learn their principles of operation, equivalent circuits, control schemes and applications. This module will also cover semiconductor power electronics as important control devices and circuits in modern electric machine systems. The theory will be supported by a series of hands-on practical experiments to understand the operation and design of electric machines and power electronic circuits for real-world applications.
The aim of this module is to build a fundamental knowledge and understanding of the different types of electric machines used in industry and their applications , and develop the ability to analyse their operation, characteristics, and performance. This module also aims to develop fundamental knowledge of semiconductor power electronics and the ability to analyse and design power converter circuits as control elements of electric machine systems. Through lectures, tutorials, worksheets and hands-on practical sessions, you will acquire knowledge and skill for the analyses of electric machines and power electronics for real-world applications.
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ENGM029: Power Systems Analysis
Resilient electrical power systems are an essential part of the infrastructure essential for a modern society. This module will deepen your insights into steady-state power system operation and develop your skills in power system analysis. Hand calculations on a simple 3-bus power network will help you understand simulation-aided power flow calculation on a large, interconnected power network. Emphasis will be on the optimisation of the power system benefits in implementing economic dispatch and optimal power flow. An important aspect of this module is the delivery style, a mixture of theoretical and practical lectures and simulation-based laboratory exercises.
This module aims to develop your understanding of power system operation and its analysis from multiple core engineering perspectives. On successful completion of this module, you will attain the capability to calculate power flows in large power systems by iterative numerical approaches, be able to determine an optimal and economic dispatch of a power system and understand the criticalness of power system faults. This module will increase your confidence in performing an independent assessment of the steady-state operational conditions associated with a power system.
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ENGM030: Digital Twinning for Power System Plant
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.
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.
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ENGM031: Smart Grids and Sustainable Energy Systems
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.
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ENGM032: Resilience of Electrical Energy Systems
Power system engineers must ensure a mixture of intermittent renewable generation, hydro, nuclear and storage can satisfy the electrical energy demand of an increasingly electrified world. This needs increasingly smarter and more resilient local distribution grids, operating in conjunction with national/regional transmission grids interconnected to neighbours via HVDC or AC (EHV/UHV) interties. This module aims to expand your knowledge on practical issues related to system adequacy, reliability and resilience from different technological, societal and environmental perspectives. The objective is to increase your understanding of transient and voltage stability with an emphasis on disturbances caused by switching actions and short-circuit faults. Symmetrical components will be used to calculate and analyse balanced and unbalanced faults in a power network. The module will also include the fundamental relaying principles needed to achieve fast, dependable, selective, secure and stable protection, and discuss more recent probabilistic techniques and indices now applied to system adequacy and post-disturbance recovery. A framework for system resilience assessment will be established during this module.
This module aims to educate you about the concepts of power system adequacy, reliability and resilience; with an emphasis on power system control, dynamics, operation and protection.
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ENGM045: Introduction to Power Systems and Plant
The modern power system is a complex and highly integrated network comprising a set of power infrastructure. This module provides an overview of the modern power system, and introduce key power system components and basic principles of the power system operation. The module will start from fundamental structure of power systems and then cover key components of power systems. The operations of power systems including energy conversion, power balance, load management will be introduced. Towards the end, the impact of renewable energy, electrification, climate change, AI and carbon market on power systems will be analysed. This module is particularly useful to ensure you have sufficient fundamental knowledge for other advanced modules.
This module aims to develop your understanding of modern power system structure, functions, components, and the key indicators impacting power system operations. On successful completion of this module, you will be able to describe the fundamental principles of modern power system and to explain the basic working principles and challenges of key power system components. This module will raise your awareness on technical operational problems in modern power systems.
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MTHM502: Introduction to Data Science and Statistical Modelling
In this module you will be equipped with the tools required to collate, import and manipulate data together with methods for basic inference including probability, sampling variability, confidence intervals. You will be introduced to different types and sources of data and the tools for performing initial data analysis including producing simple graphical summaries of data and more sophisticated methods for visualising structures in data. You will learn the essential mathematical techniques that are required for the implementation and interpretation of statistical and machine learning methods.
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