46W14 Vindressourser

2023/2024

Kursusinformation
Wind Resources
Engelsk
5
Deltidsmaster
E-læring
E-læring
E-læring
13-uger
Aftales med underviser
Mundtlig eksamen
7-trins skala , intern bedømmelse
Basic knowledge of mathematics at bachelor level (from vector algebra to simple calculus); also basic fluid (or classical) mechanics and thermodynamics at this level. Experience with the Python programming language will be an advantage (MatLab and other programming experience is somewhat translatable as well.)
Mark Charles Kelly , Risø Campus, Bygning 125, Tlf. (+45) 4677 5020 , mkel@dtu.dk
Ásta Hannesdóttir , astah@dtu.dk
46 Institut for Vind og Energisystemer
https://lifelonglearning.dtu.dk/en...line-programme/
På instituttet
1 juni
Please find more information at https:/​/​lifelonglearning.dtu.dk/​en/​wind-energy/​master-en/​wind-energy-master-online-programme/​
Overordnede kursusmål
To provide the student with the necessary understanding of the atmosphere and knowledge of tools to perform wind energy resource assessment at various scales.
Læringsmål
En studerende, der fuldt ud har opfyldt kursets mål, vil kunne:
  • Explain the basic driving mechanisms for wind, from global processess down to those linked to local topography.
  • List/outline the mechanisms that affect the Annual Energy Production (AEP) of a wind farm.
  • Analyze meteorological time series of mean wind and direction with statistical methods.
  • Explain the differences between micro- and mesoscale modeling, and how they can be used together.
  • Calculate the AEP for simple sites and wind farms (using observations, or potentially driven by mesoscale model output).
  • Identify potential errors in setup of mesoscale and microscale models, through inspection of both inputs/setup and model results.
  • Evaluate limitations and consequences of using linearized (common industrial) flow models treating terrain—in practice, considering model output; objectively scrutinize use of complex flow models for a given site.
  • Explain the principles, assumptions, and limitations behind a wind atlas (e.g. Global Wind Atlas or country/regional wind atlases), and use a wind atlas for simple estimation of resource potential.
  • Evaluate use of long-term correction, considering applicability of reference data.
  • Identify and evaluate relevant uncertainty drivers in the resource assessment process.
Kursusindhold
This course is problem-driven, with emphasis on iterative, active learning: primarily through addressing and solving specific problems involved in wind resource assessment, from theory to practice; but also by applying the acquired understanding and critical thinking to answer open-ended questions based on practical issues of industrial relevance.
The course covers: relevant meteorology (motions and force balances from meso- to planetary-scale and important thermodynamic effects); basic atmospheric boundary layer structure and flow phenomena; micro- and meso-scale modeling and practices, including basic parameterizations and numerical aspects; analysis and use of wind statistics from measurements and models (incl. e.g. wind atlas data); and scrutiny of both inputs to and outputs from wind resource modeling.
The students are encounter several (3) mandatory assignments in the course. The information and computational framework required to do the assignments will be provided through short modules consisting of video presentations, notes, book excerpts, quizzes and live 'question-answer' sessions.
Sidst opdateret
27. april, 2023