ENCN625-24S2 (C) Semester Two 2024

Wind Resource Modelling

15 points

Details:
Start Date: Monday, 15 July 2024
End Date: Sunday, 10 November 2024
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 28 July 2024
  • Without academic penalty (including no fee refund): Sunday, 29 September 2024

Description

Analytical and numerical modelling experience for wind resource assessment; application of numerical weather prediction models for wind energy; understanding the role of complex terrain and weather systems in wind energy variability; Develop theoretical and practical knowledge for wind resource spatial modelling.

The primary objective is for students to develop the practical skills and theoretical knowledge they need to produce, evaluate, and interpret the wind resource for a potential wind farming site.

Students will also develop specialised technical knowledge required for advancing from the analysis of a simple wind resource assessment exercise to more meteorologically and topographically complex sites. This approach ensures students should have a rigorous critical understanding of the key underpinning principles of modelling of wind in complex terrain, interpretation of observations, and the various modelling approaches.

The content of ENCN625 is focussed on wind energy meteorology, in particular atmospheric dynamics within the atmospheric boundary layer (from the surface up to 2 km above ground level).

The subject matter is closely aligned with the disciplines of atmospheric dynamics, micrometeorology, atmospheric boundary-layer meteorology, mountain meteorology, atmospheric turbulence, and land-atmospheric interactions.

Learning Outcomes

Understand the theoretical basis of atmospheric flows within flat and complex terrain
 Understand how topography and complex landscapes modify wind systems
 Understand the larger-scale controls of local weather systems
 Gain competence in operating an atmospheric numerical model
 Understand meteorological measurement principles and tools used in this sector
 Use atmospheric numerical model output for wind energy resource assessment
 Develop the analytical and experimental capability for commercial wind energy consultancy

Prerequisites

ENCN423 or ENME405 or subject to approval of the Head of Department

Timetable 2024

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 13:00 - 15:00 Karl Popper 508
15 Jul - 25 Aug
9 Sep - 20 Oct
01 Monday 13:00 - 15:00 Karl Popper 508
15 Jul - 25 Aug
9 Sep - 20 Oct
Computer Lab A
Activity Day Time Location Weeks
01 Monday 15:00 - 17:00 James Logie 214-Mac Computer Lab
29 Jul - 4 Aug
01 Monday 15:00 - 17:00 James Logie 214-Mac Computer Lab
29 Jul - 4 Aug
Computer Lab B
Activity Day Time Location Weeks
01 Monday 15:00 - 17:00 James Logie 214-Mac Computer Lab
19 Aug - 25 Aug
01 Monday 15:00 - 17:00 James Logie 214-Mac Computer Lab
19 Aug - 25 Aug
Computer Lab C
Activity Day Time Location Weeks
01 Monday 15:00 - 17:00 James Logie 214-Mac Computer Lab
16 Sep - 22 Sep
01 Monday 15:00 - 17:00 James Logie 214-Mac Computer Lab
16 Sep - 22 Sep

Course Coordinator

Rebecca Peer

Lecturer

Christina Dunker

Indicative Fees

Domestic fee $1,197.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Civil and Natural Resources Engineering .

All ENCN625 Occurrences

  • ENCN625-24S2 (C) Semester Two 2024