Great Lakes ReNew Water Technology Development Project
Sector: Water Supply and Storage • Location: United States
Source: Michigan Public
Great Lakes ReNew is a 10-year project funded by a $160 million National Science Foundation grant aimed at developing waste-to-wealth technologies that recover critical minerals like lithium from wastewater and remove toxic chemicals such as PFAS. The project involves laboratory research, engineering scientific breakthroughs, and market testing of water system technologies. It also focuses on stre
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | Under Development |
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 | Great Lakes ReNew is a 10-year project funded by a $160 million National Science Foundation grant aimed at developing waste-to-wealth technologies that recover critical minerals like lithium from wastewater and remove toxic chemicals such as PFAS. The project involves laboratory research, engineering scientific breakthroughs, and market testing of water system technologies. It also focuses on strengthening the water workforce and engaging water-using companies in the Great Lakes region to minimize water footprints. |
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 |