Distributed Electricity Generation and Transmission

Upon completing this Distributed Electricity Generation and Transmission course successfully, participants will be able to:
• Improve expertise in applying practices over project life cycles in the power and energy domains
• Focus on the interfaces between the people, processes, and products
• Equips teams with the knowledge necessary to realise successful solutions
• Use case studies to assess themes such as system architecting, schedule, performance, risk, cost, reliability, stakeholder management, and procurement strategies
• Provide knowledge to realise project solutions and leverage Project Management and Systems Engineering roles and responsibilities
Course Content
FUNDAMENTALS OF POWER AND ENERGY SYSTEMS
• Introduction to Energy Generation
• Different methods of generating electricity
• Turbine driven electrochemical generators
• Fuel cells
• Photovoltaics
• Thermoelectric devices
• Nuclear fission and fusion
• Renewable resources (solar, wind, hydro, tidal, and geothermal sources)
• Sustainability and energy efficiency

TRANSMISSION AND DISTRIBUTION AND SMART GRID
• Power and Energy and the Environment
• Power and Energy Systems Project Management
• Power and Energy Generation
• Transmission and Distribution / Smart Grid
• Principles and Techniques of Wind Energy and Solar Cells
• Power Electronics
• Smart Grids Communications
• Modern power transmission and distribution systems
• Transformer technology
• Transmission grids
• Load management
• Distribution optimisation
• Power supply reliability
• Infrastructure systems
• Security and deregulation
• SCADA systems
ENERGY AND THE ENVIRONMENT
• Impact of energy generation on the environment
• Global climate change
• Clean energy technologies
• Energy conservation
• Air pollution
• Water resources
• Nuclear waste issues

INTRODUCTION TO SYSTEMS ENGINEERING
• Why Use Systems Engineering?
• Definition of System and Systems Engineering
• Value of Systems Engineering
• What is Systems Engineering?
• Key Systems Engineering Principles
• The V Systems Engineering Model
POWER AND ENERGY SYSTEMS ENGINEERING
• Systems Engineering applied to power and energy
• Development of modern complex power and energy systems
• Creating new power and energy technologies and systems
• Need to plan, coordinate, and oversee interdisciplinary team efforts
• Translating operational needs into technology solutions
• Using tools to meet cost, schedule, and performance goals
• Power and energy generation technology cost modelling
• An example of systems engineering
• Integral power and energy system design

POWER AND ENERGY SYSTEMS ENGINEERING TECHNICAL
• System Conceptual Design
• Using the Architecture
• Feasibility Study/Concept Exploration
• Project Management and Systems Engineering Master Plan
• Concept of Operations (ConOps)
• System Requirements
• System Design
• Systems Architecting
• Software/Hardware Development and Testing
• Integration and Verification
• Initial Deployment
• System Validation
• Operations and Maintenance
• Retirement/Replacement
• System of Systems (SoS) Engineering
• Power and Energy Systems Project Management
• Managing the electric power grid
• Broad spectrum of empirical, theoretical and policy issues
• Generation facilities and equipment
SYSTEMS ENGINEERING APPROACHES
• Needs and Objectives
• Concept of Operations (CONOPS)
• Definition of the Problem
• Measures of Effectiveness/Measures of Performance
• Needs and Objectives Analysis
• Objectives (Statement of Objectives, Objectives Tree)

SUSTAINABLE ENERGY PRODUCTION AND USAGE
• Conventional and sustainable energy production and utilisation
• Overview of the major energy flows
• Production and end-use
• Power and Energy Systems Analysis
• Rankin cycles from traditional power plants
• Advanced Convection Heat Transfer
• Advanced Thermodynamics
• Impact of Energy Conversion on the Environment
• Combustion and Reacting Flow
• Measurement and Instrumentation
• Fundamentals of thermal and fluid processes in single phase and multi-phase flows as related to this course
• Experimental design and planning
• Sources of errors in measurements
• Uncertainty analysis

RELIABILITY ANALYSIS AND ENGINEERING
• Principal methods of reliability analysis
• Fault tree and reliability block diagrams
• Failure Mode and Effects Analysis (FMEA)
• Systems engineering approaches
• Significant performance improvements and savings in capital and operating costs
• Mathematical Techniques for Engineers
• Applications of matrices, vectors, tensors, differential equations, integral transforms, and probability methods to a wide range of engineering problems
• Risk Assessment for Engineers
• Market, Spatial, and Traffic Equilibrium Models

APPLYING SYSTEMS ENGINEERING AND OPTIMISATION
• Applying systems engineering in your project & organisation
• Concepts, definitions and examples
• Optimality and convexity
• Linear programming
• Single objective optimisation: unconstrained methods
• Single objective optimisation: constrained methods
• Multi-objective optimisation methods
• Post-optimality analysis
• Optimality and duality
• Mixed (continuous) integer/discrete optimisation: single objective
• Mixed continuous-discrete optimisation: multiple objectives
• Robust optimisation
• Multi-disciplinary optimisation
• Multi-level post-optimality sensitivity analysis

Methodology
The training methodology integrates lectures, interactive discussions, collaborative group exercises, and illustrative examples. Participants will acquire a blend of theoretical insights and hands-on practical experience, emphasizing the application of learned techniques. This approach ensures that attendees return to their professional environments equipped with both the competence and self-assurance to effectively implement the acquired skills in their responsibilities.

DATE:

1ST BATCH:        11th – 14th Feb, 2025    

2ND BATCH:       15th – 18th July, 2025