Module Specifications.
Current Academic Year 2024 - 2025
All Module information is indicative, and this portal is an interim interface pending the full upgrade of Coursebuilder and subsequent integration to the new DCU Student Information System (DCU Key).
As such, this is a point in time view of data which will be refreshed periodically. Some fields/data may not yet be available pending the completion of the full Coursebuilder upgrade and integration project. We will post status updates as they become available. Thank you for your patience and understanding.
Date posted: September 2024
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Repeat examination |
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Description Smart energy technologies are critical to manage complex energy systems and to facilitate system integration and optimisation, for example in terms of energy and resource efficiency. The Smart Grid enables the integration of renewable energy technologies, and their inherent challenges such as wind power intermittency. The transition to electric vehicles and the electrification of space and water heating will place extra demand on electricity supply. The Smart Grid aims to balance supply and demand, and manage peak demands more effectively and efficiently. Building Management Systems monitor and control energy usage in buildings using a network of sensors, meters and controllers to lower building energy usage. The use of instrumentation, control and automation (ICA) for managing industrial processes is essential not only for maintaining process parameters but also for energy optimisation, water conservation and waste minimisation. These technologies are built on information and communication technologies. The aim of this module is to educate students with regard to the state of the art in these technologies, their potential contribution to decarbonisation and to introduce them to the information and communication technologies supporting the transformation to Smart Energy Systems. In addition, the environmental cost of Smart Energy Systems will be examined, for example the environmental cost of data centers. | |||||||||||||||||||||||||||||||||||||||||||
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Learning Outcomes 1. Explain what is meant by a Smart Energy System 2. Review and evaluate the use of Smart systems to manage resource efficiency 3. Design a Smart Energy System, integrating system components using best practice principles 4. Apply the general principles of AI and Machine learning techniques 5. Develop an understanding of the challenges of transport and heating electrification and the Smart Grid | |||||||||||||||||||||||||||||||||||||||||||
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml |
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Indicative Content and Learning Activities
Smart energy systemsTypes of smart energy systems; integration of renewable energies; CHP and district heating; system components (sensors, instrumentation, actuators, controllers); synergies.System design and architectureInstrumentation, control and automation (ICA); Designing smart energy systemsBuilding management systemsFunction of building management systems; types of management systems; system programming; data management.Smart GridCurrent status and challenges in the Irish and European contexts; renewable energy technologies and the Smart Grid.Information and communications technologyWhat is AI? Introduction to Artificial intelligence and Machine Learning methodologies and how they support smart energy systems. | |||||||||||||||||||||||||||||||||||||||||||
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Indicative Reading List
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Other Resources 61309, Website, 0, Energy Plan: Smart Energy Systems, https://www.energyplan.eu/smartenergysystems/, | |||||||||||||||||||||||||||||||||||||||||||