MODELS TO PREDICT THE REMOVAL OF EMERGING MICROPOLLUTANTS FROM WATER BY NOVEL ADSORBENTS IN FIXED-BED COLUMN PROCESSES

The summary for the MODELS TO PREDICT THE REMOVAL OF EMERGING MICROPOLLUTANTS FROM WATER BY NOVEL ADSORBENTS IN FIXED-BED COLUMN PROCESSES grant is detailed below. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the Environmental Protection Agency, which is the U.S. government agency offering this grant.
MODELS TO PREDICT THE REMOVAL OF EMERGING MICROPOLLUTANTS FROM WATER BY NOVEL ADSORBENTS IN FIXED-BED COLUMN PROCESSES: The Innovative Water Technology Grant Program is designed to accelerate “the development and deployment of innovative water technologies that address pressing drinking water supply, quality, treatment, or security challenges of public water systems, areas served by private wells, or source waters.” Under the program, EPA shall make grants “(1) to develop, test, and deploy innovative water technologies; or (2) to provide technical assistance to deploy demonstrated innovative water technologies.” The models developed, tested and deployed under this solicitation for novel adsorbents for the removal of micropollutants from water are expected to contribute to the development of innovative water technologies for drinking water systems and expected to lead to the development of new and improved drinking water and wastewater treatment processes. The EPA anticipates funding approximately one award under this funding opportunity up to $1,000,000 in federal funds per award. A minimum 35% non-federal cost share/match of the total project costs is required. See Section III.B. for more details. EPA recognizes that it is important to engage all available minds to address the environmental challenges facing the Nation. EPA seeks to expand the environmental conversation by including members of communities which may have not previously participated in such dialogues to participate in EPA programs. For this reason, EPA strongly encourages all eligible applicants identified in Section III, including minority serving institutions (MSIs), to apply under this opportunity.
Federal Grant Title: MODELS TO PREDICT THE REMOVAL OF EMERGING MICROPOLLUTANTS FROM WATER BY NOVEL ADSORBENTS IN FIXED-BED COLUMN PROCESSES
Federal Agency Name: Environmental Protection Agency (EPA)
Grant Categories: Environment
Type of Opportunity: Discretionary
Funding Opportunity Number: EPA-G2024-ORD-F1
Type of Funding: Grant
CFDA Numbers: 66.521
CFDA Descriptions: Information not provided
Current Application Deadline: October 2nd, 2024
Original Application Deadline: October 2nd, 2024
Posted Date: July 30th, 2024
Creation Date: July 30th, 2024
Archive Date: November 1st, 2024
Total Program Funding: $1,000,000
Maximum Federal Grant Award: $1,000,000
Minimum Federal Grant Award: $0
Expected Number of Awards: 1
Cost Sharing or Matching: Yes
Last Updated: July 30th, 2024
Applicants Eligible for this Grant
Others (see text field entitled "Additional Information on Eligibility" for clarification.)
Additional Information on Eligibility
Please see Section III of the funding opportunity announcement for eligibility information.
Grant Announcement Contact
Further information, if needed, may be obtained from the EPA contacts indicated below. Information regarding this funding opportunity obtained from sources other than these Agency Contacts may not be accurate. Email inquiries are preferred.
Technical Contact: Rich Callan; phone: 202-564-4191; email: [email protected]

Eligibility Contact: Ron Josephson; phone: 202-564-7823; email: [email protected]
Electronic Submissions Contact: [email protected]
Rich Callan; Ron Josephson; Electronic Submissions
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