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About NUI Galway
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ME Energy Systems Engineering Module Descriptions
The objective of this course is to develop the participants' understanding of the theory and practice of financial management, and to develop their skills in the application of this knowledge to financial decision-making.
The module will educate students in the use of linear and non-linear finite element methods that are most relevant to problems and systems encountered in both fundamental and applied research in biomedical and mechanical engineering.
Development of finite element equations from a governing functional. Basic element shapes and associated interpolation functions. Formulation of the element stiffness matrices and load vectors for elasticity problems. Development of higher order elements, including curved elements and numerical integration. Natural coordinates Real space mapping and the calculation of spatial gradients. Structure and organisation of a finite element computer programme. Finite element formulations for thin beam bending and thermal conductivity problems. Development of conservation equations for mass, momentum and energy for the finite volume method. Selection of appropriate boundary conditions, discretisation techniques and solution methods for a range of thermofluid problems. Structure and organisation of a CFD computer programme. Application of course content to modelling a wide range of steady-state, dynamic, mixing and heat transfer problems.
The module has two main components: (1) Bill of Quantity production and pricing, and (2) Cost benefit analysis on an engineering project. The first component includes measurement, estimating, Bill of Quantity production / presentation, preliminaries, detailed estimating, editing, tender letter, form of tender and cover letter. The second component involves comparing the costs versus benefits of an engineering project.
This module deals with transport systems and infrastucture. Highway engineering topics include bituminous materials and advanced pavement management strategies. A focus is placed on road safety engineering. The design of public transport systems, along with the engineering solutions necessary to improve the sustainability of transport in the 21st century are described. Urban mobility is discussed with particular focus on non-motorised transport. Assessment is both project and exam based.
This module introduces the theory supporting, design, maintenance and operation of waste and wastewater treatment systems. Topics covered will include wastewater and waste composition and characteristics, design of treatment facilities, energy efficiency and production, control and monitoring techniques that are used in these systems and current state of the art. The module discusses the engineer's responsibility to the public and the environment when designing and operating such facilities.
This module covers advanced material related to the design and operation of environmental systems and the implementation of strategies to mitigate environmental impacts of anthropogenic activities. Topics covered include advanced nutrient removal and recovery technologies in wastewater, disinfection, bio-solids and energy, regulation, erosion, groundwater contamination, energy efficiency, the water-energy nexus, wastewater treatment for developing countries. Assessment will be exam and project based.
Data and information. Database architectures, centralised and distributed. Database models: hierarchical, relational, network and object oriented. Database query languages, client/server design, Standard Query Language. Data Management Issues: backup, recovery, maintenance, performance. Database design and implementation. Enterprise-wide data applications, building client/server database. Object oriented databases. Open database connectivity (ODBC). Accessing remote data sources. Databases and Tools: MS-ACCESS, ORACLE, Object Store, SQL, Powerbuilder, Visual Basic.
This module introduces students to the strategic importance of SmartGrid and examines its constituent components. It firstly provides an overview of the multifaceted ICT (Information & Communications Technology) infrastructure that will facilitate SmartGRid. It then introduces students to each of the core SmartGrid components - SmartGeneration, Energy Storage, SmartNetworks, SmartBuildings , and SmartUsers. Finally, students will design and implement high level SmartGrid modelling solutions
Simulation is a quantitative method used to support decision making and predicting system behaviour over time. This course focuses the system dynamics approach. The course covers the fundamentals of simulation, and describes how to design and build mathematical models. Case studies used include: software project management, public health policy planning, and capacity planning.
Computer Systems History and Architecture Development; von Neuman machine; memory systems; storage media; virtual and cache memory; interrupts; concurrency and pipelining; processes; scheduling; critical regions and synchronisation; file systems and management; distributed operating systems and parallel processing; case studies; UNIX, MSDOS and Windows NT.
Oriented-oriented concepts: objects, classes, inheritance, interfaces and polymorphism. Object-oriented programming: operators, decision constructs, loop constructs, arrays.
This module will introduce the fundamental engineering principles behind current and future energy technologies including combustion, gasification and electrochemistry, as well as economic analysis methods. These fundamentals will be combined with previously-acquired techniques to analyse complex energy systems such as conversion technologies (wind, solar, geothermal, waste-to-energy, CCS) and infrastructures (bioenergy, natural gas, hydrogen, water).
This module introduces students to multi-disciplinary studies of the physical forcings and earth/ocean system responses that induce and drive environmental change on different temporal and spatial scales. Emphasis here is placed on understanding and communicating the basic science behind both natural climate cycling (e.g. Milankovitch/ENSO) and more recent anthropogenic forcings (e.g. fossil fuel burning and agricultural practices).
The module explores the challenges facing organisations in a global extended enterprise, and introduces a number of process improvement tools and techniques that businesses use to retain competitive advantage and maintain profitably. This module is designed to give students exposure to Lean Systems. The Module consists of three sections (1) Process Improvement Essentials, (2) Costs Defining Opportunities For Process Improvement and (3) Productivity: Process Improvement Opportunities
- Develop an understanding of and appreciate the role of Lean tools and techniques in solving real life engineering and business problems
- Adopt value stream mapping to real life engineering management problems and generate solutions
- Have a sound base in the current and future state mapping
- Analyse data in support of lean balancing, lean layouts, action plans and contribute to decision making by advising management using lean problem solving
- Generate and prioritise alternative solutions for real life operating systems problems
- Participate in a workshop on lean gaming and project work
- Present Lean solutions to operating systems problems
Analytical methods applied to mechanical design; stress and strain analysis, linear and non-linear problems, constitutive laws, mathematical modelling of mechanical systems, system optimisation and reliability; multi-body contact. Applications
Fluid dynamics of turbo-machinery. Classification, system characteristics, dimensionless parameters and scaling laws, energy and angular momentum aspects, in-compressible flow turbo-machines (pumps, fans, turbines), compressible flow turbo-machines (compressors, turbines).
The module covers a broad range of topics that critically affect the successful identification and commercialisation of technologies. It is designed to help students develop strong conceptual foundations for understanding and exploiting technological innovation and entrepreneurship. More specifically, it aims to equip students with an understanding of the technology innovation life cycle and the key issues involved in entrepreneurship and new venture creation. It introduces concepts and frameworks to create, commercialise and capture value from technology-based products and services. It will provide students with a comprehensive toolbox to enable them to identify opportunities, develop feasibility studies and business plans in order to develop and manage innovation throughout the product life cycle and exploit a new technological venture.
- Understand extended products
- Identify user needs, Filter needs
- Create product specifications
- Ideation + Brainstorming techniques
- Generate, select + test product concepts
- Design the service
- Assess commercial opportunities
- Determine regulation and intellectual property requirements
- Define a business model
- Manage the finances
- Market the technology
Standards: ISO9001, ISO13485, ISO14001, OHSAS 18001/BS8800. CE Marking & Product Liability Legislation. MDD /FDA/GMP/HACCP/IS340/ etc. Environmental Impact Assessment, the EPA, and Environmental Health & Safety Issues. Med Device Risk Assessment - EN14971, Machinery Directive, Dangerous goods, SEVESO Directive, WEEE Directive. Case studies covering Health and Safety, and Environmental topics.
This module is concerned with advanced mechanics of materials with a view to engineering design for structural integrity. Attention is focussed on elasticity, plasticity, creep, fracture mechanics and tribology, with application to multiaxial design against fatigue, fracture, creep, creep-fatigue interaction, plastic failure and wear, as well as design for manufacturing process such as metal-forming. Mini-projects will focus on applied computational mechanics of materials
The module introduces students to the fundamentals and applications of combustion. Students are expected to have a background in either chemical or engineering thermodynamics. The module covers: reaction stoichiometry, combustion thermodynamics, reaction kinetics and dynamics, transport phenomena, liquid and solid combustion, pollutant formation, and computational methods. Analytical and numerical problem-solving techniques are developed through homework assignments, projects and computer labs.
The aim of this course is to equip candidates with skills to conduct autonomous research in a rigorous an disciplined manner. It is essential for the effective generation, collection, analysis and interpretation of scientific knowledge. The primary assessment is through three assignments (two written research assignments and one oral presentation)