ENE907 Wind Farm Design and Micro-Siting (Autumn 2024)
- ECTS Credits:
- 2.5
- Responsible department:
- Faculty of Engineering and Science
- Course Leader:
- Sathyajith Mathew
- Lecture Semester:
- Autumn
- Teaching language:
- English
- Duration:
- ½ year
Table of contents
The course is connected to the following study programs
- Offshore Wind Energy
Teaching language
Learning outcomes
On successful completion of the course, the student should be able to:
- be familiar with the criterion for choosing suitable site for a prospective offshore wind farm.
- familiarize with the models to estimate the power losses in wind farms due to the wake effect.
- be acquainted with the methods for estimating the capacity density of the wind farm resulting in minimum levelized cost of generation.
- identify the features of the turbine suitable for a given site condition.
- locate the optimal position of the turbines in a given offshore wind farm layout.
Contents
Overview of wind farm siting - selection and preliminary evaluation of the sites-meteorological, economical, legal and environmental considerations.
Wake analysis of offshore wind farms - different analytical models, CFD based wake models-comparative analysis of wake models in offshore wind farms.
Capacity density of offshore wind farms - spacing between the turbines -optimization based on levelized cost of energy -various factors affecting the capacity density.
Turbine class and power density - Matching turbines for wind-wave conditions- choosing the turbine -low and high specific power turbines.
Micro siting of turbines- Hands-on sessions on turbine micro siting - innovative micro-siting methods.