Real Time Prediction of a Wind Farm Power Output

Wind farm power production forecasting within time interval, from minutes to hours, is essential for utilities and is required for planning operation/shutdown of thermal units in the system. This project involves finding a wind farm simulation model that could be used for the development of wind power prediction software. The main challenge is to find a simple model that takes topographical maps, wind farm layout and the long-term site wind and atmospheric data and then to use this data to calculate wind speed at all wind turbines. The resulting simple model derived during this project will of a wind farm will be used to develop a computer program that is fast and can be used in real-time using a High Performance Computing Cluster (HPCC). The code will effectively employ real-time wind and weather data to predict the expected short-term and long-term output of the wind farm.

Faculty Supervisor:

Tariq Iqbal

Student:

Partner:

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate