HTME

COURSE OVERVIEW

EE0577 : Power Technology
Power Technology
OVERVIEW
COURSE TITLE:EE0577 : Power Technology
COURSE DATE:Sep 09 - Sep 13 2024
DURATION:5 Days
INSTRUCTOR:Mr. Fred Du Plessis
VENUE:Abu Dhabi, UAE
COURSE FEE:$ 5500
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OTHER SCHEDULED DATES

Course Description

This practical and highly-interactive course includes real-life case studies and exercises where participants will be engaged in a series of interactive small groups and class workshops.
This course is designed to provide participants with a detailed and up-to-date overview of Power Technology. It covers the power generation, transmission and distribution systems; the voltage, current, resistance and power relationships; the differences, advantages and applications of AC and DC power; the power generation methods and the components that make up the power grid including substations and transformers; and the safety in power generation and distribution and thermal power plants, hydroelectric power and nuclear power generation.
Further, the course will also discuss the renewable energy sources, distributed generation systems, energy storage solutions, power transmission systems and distribution networks; the smart grids, advanced metering, power quality and reliability; addressing issues like voltage stability, flicker and harmonics; the role and components of substations in power systems; and the protection of power systems against faults and failures.
During this interactive course, participants will learn the load forecasting management; the principles of electricity pricing, market structures and trading; the regulatory frameworks and the environmental challenges associated with power generation; the energy efficiency and conservation by reducing energy consumption and loss; integrating renewable energy sources and cutting-edge renewable energy technologies and their potential; the role of power technology in the development of smart cities; the impact of electric vehicles on power demand and distribution networks; and the energy blockchain, artificial intelligence and machine learning in power systems.

link to course overview PDF

TRAINING METHODOLOGY

This interactive training course includes the following training methodologies:

Lectures
Workshops & Work Presentations
Case Studies & Practical Exercises
Videos, Software & Simulators

In an unlikely event, the course instructor may modify the above training methodology for technical reasons.

VIRTUAL TRAINING (IF APPLICABLE)

If this course is delivered online as a Virtual Training, the following limitations will be applicable:

Certificates:Only soft copy certificates will be issued
Training Materials:Only soft copy materials will be issued
Training Methodology:80% theory, 20% practical
Training Program:4 hours per day, from 09:30 to 13:30

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