logo

Aeolius Wind Forecasting Project

Sector: Power Generation (CCGT) • Location: Australia

Source: Australian Renewable Energy Agency (ARENA)

Project
Closed

The Aeolius Wind Forecasting Project led by Aeolius Wind Systems Pty Ltd aims to demonstrate two innovative and complementary energy forecasting technologies for use in the National Electricity Market (NEM).The technology comprises an advanced laser radar (lidar) system, designed to provide a minimum of five minutes notice of changes in the power output of wind turbines, by measuring the wind fiel

Project Information FAQ

Project Information

5 Q
The project “Aeolius Wind Forecasting Project” is an infrastructure initiative in the Power Generation (CCGT) sector, located in Australia. Taiyo aggregates data on it from Australian Renewable Energy Agency (ARENA).

Want to explore the full details? View the full report

Participants

Sponsoring Agency

Obfuscated Data

Company

Obfuscated Data

Status

Original status

closed

Taiyo status

Obfuscated Data

Taiyo last update

00-00-0000

Available timestamps

00-00-0000

Available timestamp type

Obfuscated Data

Contact

Contact name

Obfuscated Data

Phone

0000000000

Email

ObfuscatedData@email.com

Address

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Description

Description

The Aeolius Wind Forecasting Project led by Aeolius Wind Systems Pty Ltd aims to demonstrate two innovative and complementary energy forecasting technologies for use in the National Electricity Market (NEM).The technology comprises an advanced laser radar (lidar) system, designed to provide a minimum of five minutes notice of changes in the power output of wind turbines, by measuring the wind field up to fifteen kilometres upstream from wind farms.Evidence of the accuracy of the technology has been demonstrated at a wind farm on the Caribbean Island of Aruba. The ARENA project will further improve forecast accuracy so the technology can be used on sites where turbines are distributed over a large area, or where the line of site to turbines is blocked by hills, trees, and buildings.The second forecast technology involves the use of wind data collected by the Supervisory Control and Data Acquisition system (SCADA) at individual wind farms. Here the historical trends in wind behaviour are analysed using a neural network and/or linear model to generate the five-minute ahead forecast.The model based forecaster has been tested at a wind farm in Victoria and found to have significant improvements in accuracy over the equivalent Australian Wind Energy Forecasting System.

Original sub-sector

Obfuscated

Original Currency

USD

Original budget

000000000000000

Procurement method

Obfuscated Data

Budget

000000000000000

Location

Region

Obfuscated

Country

Obfuscated

State

Obfuscated Data

County

Obfuscated

Location

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Source

Source reliability

High

Data quality score

100%

Source

Obfuscated Data

URL

obfuscated_data,obfuscateddata.com

More Details

Project Type

Obfuscated Data

Article Published Date

Obfuscated Data