UNSW Addressing Barriers to Efficient Renewable Integration
Sector: Power Generation (CCGT) • Location: Australia
Source: Australian Renewable Energy Agency (ARENA)
The UNSW Addressing Barriers to Efficient Renewable Integration project is identifying and addressing the roadblocks to having high degrees of renewable energy deployment related to system integration.How the project worksThe UNSW Addressing Barriers to Efficient Renewable Integration project will focus on frequency control, ancillary services, and electricity market rules/operating procedures. By
Project Information FAQ
Project Information
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 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The UNSW Addressing Barriers to Efficient Renewable Integration project is identifying and addressing the roadblocks to having high degrees of renewable energy deployment related to system integration.How the project worksThe UNSW Addressing Barriers to Efficient Renewable Integration project will focus on frequency control, ancillary services, and electricity market rules/operating procedures. By using bench testing, UNSW will directly test the response of a range of photovoltaics (PV) and storage inverters to disturbances of different kinds on the network.In addition, the installation of high-speed disturbance records on key distribution network feeders will monitor and record behaviour during power system disturbances. Results from this will provide detailed information that can be used to develop a “composite PV-load model”. |
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 |
