The Wind Energy course offers you the chance to break into a booming sector, where demand for labour is constantly growing thanks to the transition towards renewable energy sources. On this course, you will acquire the essential skills to become an expert in wind energy. You will begin by understanding the physical and meteorological concepts that are essential for harnessing wind power. You will learn about advanced wind turbine technology and wind data analysis using tools such as Windographer. You will also explore micrositing and the design of wind farms, using computational models that optimise electricity generation. This online course will provide you with comprehensive, up-to-date knowledge, preparing you to tackle the challenges of the future energy sector and open new doors in the job market. Join us and be part of the green revolution that is transforming the world.
Wind Energy
Energy
40 hours
Introduction
Objectives
- To understand the basic concepts of wind energy and its relationship with meteorological phenomena.
- Analyse the operation of wind turbines and assess their efficiency using wind data.
- Use Windographer to interpret and visualise meteorological and wind data.
- Apply computational models to assess energy potential in micrositing projects.
- To design efficient wind farms, taking geographical and technical factors into account.
- To assess the impact of wind power on the environment and society.
- To identify opportunities for improvement in the implementation of wind power technologies.
Table of Contents
TEACHING UNIT 1. PHYSICAL AND METEOROLOGICAL CONCEPTS RELATED TO WIND ENERGY.
The history of wind power.
Wind meteorology.
The physics of wind energy.
Site selection.
Wind measurement campaign.
TEACHING UNIT 2. WIND TURBINE TECHNOLOGY AND WIND DATA ANALYSIS. THE WINDOGRAPHER PROGRAMME.
Wind energy.
Exercise. Descriptive statistical analysis of wind energy resources.
Wind turbines 1.
Wind turbines 2.
Wind turbines 3.
TEACHING UNIT 3. STUDY OF MICROSITING USING A COMPUTATIONAL MODEL OF ELECTRICITY GENERATION.
WASP programme. Data analysis model (WAP CLIMATE ANALYST).
WASP programme. Digital elevation model (WAP MAL EDITOR).
WASP programme. Wind Turbine Generator model.
WASP Programme. Energy Simulation I.
WASP programme. Energy simulation II.
TEACHING UNIT 4. WIND FARM DESIGN.
Civil engineering works for a wind farm.
Electrical power generation installations at a wind farm.
High-voltage electrical substation.
High-voltage overhead power line.
Offshore wind power.