Project Hazelnut Data Center Water Supply
Sector: Waste Processing and Treatment • Location: Hazle Township, Pennsylvania, United States
Source: Hazleton Standard Speaker
CAN DO, the economic development agency for Greater Hazleton, requested to supply drinking water to the Project Hazelnut data center. The proposal includes expanding CAN DO's service territory to supply water to the data center site, with NorthPoint Development requesting 30,000 gallons per day for bathrooms, kitchens, and fire safety. The project also involves the Greater Hazleton Joint Sewer Aut
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | planned |
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 | CAN DO, the economic development agency for Greater Hazleton, requested to supply drinking water to the Project Hazelnut data center. The proposal includes expanding CAN DO's service territory to supply water to the data center site, with NorthPoint Development requesting 30,000 gallons per day for bathrooms, kitchens, and fire safety. The project also involves the Greater Hazleton Joint Sewer Authority supplying up to 350,000 gallons per day of treated sewage to cool the 15 data center buildings. |
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 |