Course Overview
Do you want to gain confidence in planning and executing wind measurement campaigns and analysing wind data for wind resource assessment? This course will help you understand the importance of reliable wind measurements in wind resource assessment and introduce you to relevant governing guidelines and international standards. You will learn best practices for selecting and deploying both in situ (meteorological mast-based) and remote-sensing wind measurement technologies for different applications and site conditions. You will also develop the skills to address data quality assurance and control, data acquisition, data management, and the quantification of measurement uncertainty.
Course Highlights
Apply internationally recognized standards and guidelines to design reliable measurement campaigns; Gain relevant knowledge of wind measurement techniques that can be applied directly to wind resource assessment projects; Learn how to acquire, manage, and analyze wind measurement data to ensure reliable measurements; Understand the concepts used for measurement uncertainty evaluation and learn how to quantify wind speed-related uncertainties.
MAIN GOAL
Join this course to develop the expertise needed to design, evaluate, and manage wind measurement campaigns for wind resource assessment in accordance with internationally recognised standards and guidelines.
Learning Outcomes
After completion of this course, you will gain the ability to:
- + Identify the governing standards and guidelines for wind measurements, and explain when they are relevant.
- + List the most common in-situ and remote sensors used for wind measurements, explain their working principles and compare their strengths and limitations in order to evaluate and select suitable technologies for a given wind resource assessment context.
- + Perform wind data analysis and quality control, calculate vector/scalar, wind direction and other statistics, and estimate fundamental flow parameters, such as flow tilt and turbulence intensity.
- + Describe the purpose and features of a wind resource Data Acquisition System (DAS).
- + Apply calibration functions on raw measured data to obtain physical data.
- + Estimate the uncertainty of a mast-mounted cup anemometer.
Meet Your Instructors
Senior Development Engineer
Senior Development Engineer
Development Engineer
Senior Researcher
Development Engineer
Development Engineer
Admissions
Entry Requirements
- + The recommended participant profile is an engineer, meteorologist, or another professional with mathematics and programming skills equivalent to B.Sc. or B.Eng. level or higher.
- + Familiarity with any spreadsheet tool (for example, Excel) or a programming language.
- + Statistics: Understanding of mean, standard deviation and basic regression concepts.
- + Wind energy: Familiarity with wind measurement and wind resource assessment concepts.
Teaching and Assessment Methods
- + All study material and lectures are in English.
- + The course is delivered online in a structured format, combining self-paced study with weekly interactive live sessions to support flexible and engaging learning.
- + Self-paced learning includes: Video lectures introducing key concepts and methods, Curated reading material, Practical exercises designed to be solvable using basic data analysis tools, such as Excel, and quizzes for hands-on learning. No programming skills are required, students may use any programming language/software tool of their choice.
- + Interactive live sessions focus on: Walkthroughs and discussion of exercises and results, Q&A and exchange of practical experiences.
- + To accommodate a global participant audience, each live session is offered in two time slots covering the same content: First session: 10:00 CET (serving participants in Asia–Pacific, Europe, and Africa) Second session: 15:00 CET (serving participants in Europe and the Americas)
- + Assessment of the achieved learning objectives will be based on a capstone (case-study) project.
Application Deadline: TBC.
Practical Notes
- + All core learning materials are available online throughout the course, enabling participants to revisit content and learn at their own pace and time. Communication and course support are facilitated on the learning platform, fostering ongoing dialogue between participants and teachers.
- + Participants who successfully complete the course will receive a Certificate of Achievement from DTU and will be awarded a 2.5 ECTS micro-credential from DTU.
Fees & Funding
Tuition Fees
Visit institution page for information on fees and application deadlines.
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Course Info
Contact Alexandre de Lemos Pereira for any additional information relating to this course.
