Module: Smart Energy Systems

Module Specifications..

Current Academic Year 2023 - 2024

Please note that this information is subject to change.

Module Title	Smart Energy Systems
Module Code	MM416
School	School of Mechanical and Manufacturing Engineering
Module Co-ordinator	Semester 1: Reihaneh Aghamolaei Semester 2: Reihaneh Aghamolaei Autumn: Reihaneh Aghamolaei
Module Teachers	Reihaneh Aghamolaei
NFQ level	8	Credit Rating	7.5
Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

Repeat examination

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.

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

*Type*	*Hours*	*Description*
Workload	Full-time hours per semester
Lecture	24	Two lectures per week
Laboratory	6	Three two-hour labs
Directed learning	12	Literature review and technology assessment
Assignment Completion	40	Design of smart energy system and report completion
Independent Study	105	No Description
Total Workload: 187

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

Indicative Content and Learning Activities

Smart energy systems
Types of smart energy systems; integration of renewable energies; CHP and district heating; system components (sensors, instrumentation, actuators, controllers); synergies.

System design and architecture
Instrumentation, control and automation (ICA); Designing smart energy systems

Building management systems
Function of building management systems; types of management systems; system programming; data management.

Smart Grid
Current status and challenges in the Irish and European contexts; renewable energy technologies and the Smart Grid.

Information and communications technology
What is AI? Introduction to Artificial intelligence and Machine Learning methodologies and how they support smart energy systems.

Assessment Breakdown
Continuous Assessment	50%	Examination Weight	50%

Type	Description	% of total	Assessment Date
Course Work Breakdown
Assignment	Design project: Review Smart energy systems; design and integrate smart energy system.	50%	Sem 2 End

Reassessment Requirement Type
Resit arrangements are explained by the following categories; 1 = A resit is available for all components of the module 2 = No resit is available for 100% continuous assessment module 3 = No resit is available for the continuous assessment component
This module is category 1

Indicative Reading List

Henrik Lund: 2014, Renewable Energy Systems, 2nd, Amsterdam, The Netherlands, 0124104231

Other Resources

61309, Website, 0, Energy Plan: Smart Energy Systems, https://www.energyplan.eu/smartenergysystems/,

Programme or List of Programmes

SSE	BEng in Mechanical & Sustainability Eng
SSEI	BEng in Mechanical & Sustainability Eng
SSET	BSc in Mechanical & Sustainability Tech

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