MODELS TO PREDICT THE REMOVAL OF EMERGING MICROPOLLUTANTS FROM WATER BY NOVEL ADSORBENTS IN FIXED-BED COLUMN PROCESSES
ID: 355726Type: Posted
Overview

Buyer

Environmental Protection Agency (EPA)

Award Range

$0 - $1M

Eligible Applicants

Others

Funding Category

Environment

Funding Instrument

Grant

Opportunity Category

Discretionary

Cost Sharing or Matching Requirement

Yes
Timeline
    Description

    The Environmental Protection Agency (EPA) is offering a grant opportunity titled "Models to Predict the Removal of Emerging Micropollutants from Water by Novel Adsorbents in Fixed-Bed Column Processes." This initiative aims to fund research that develops predictive models for the removal of micropollutants, such as pharmaceuticals and PFAS, using innovative adsorbents in water treatment processes. The program is crucial for advancing water treatment technologies and improving the efficiency of public water systems in addressing challenging contaminants. The total funding available is approximately $1,000,000, with a minimum 35% non-federal cost share required from applicants. Proposals must be submitted by October 2, 2024, and interested parties can reach out to Rich Callan at callan.richard@epa.gov or Ron Josephson at josephson.ron@epa.gov for further information.

    Files
    Title
    Posted
    The U.S. Environmental Protection Agency (EPA) announces the Innovative Water Technology Grant Program, focusing on funding research to develop predictive models for the removal of emerging micropollutants from water using novel adsorbents in fixed-bed column processes. The funding opportunity (EPA-G2024-ORD-F1) opens on July 30, 2024, with a submission deadline of October 2, 2024. The program aims to tackle challenges in water treatment by advancing new adsorbents that demonstrate improved efficiency, particularly for hard-to-remove contaminants like pharmaceuticals and PFAS. Approximately $1,000,000 will be awarded, with a 35% minimum cost-share from applicants. Eligible participants include public water systems, academic institutions, and certain nonprofits. The proposals should result in mechanistic models that offer insights into adsorbent performance under realistic conditions, supporting enhanced water treatment processes. The grant emphasizes innovation and encourages participation from underrepresented communities. Applicants should address specific research areas related to the effectiveness of novel materials and their applicability in real-world scenarios. Expected outputs include case studies, experimental data, and publicly available simulation tools to aid water utilities in selecting effective treatment technologies.
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