Model-based economic analysis under uncertainty for PFAS treatment by granular activated carbon and ion exchange technologies
Journal Article
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· Journal of Environmental Management
- West Virginia University (WVU)
- National Laboratory of the Rockies (NLR)
- NETL Site Support Contractor, National Energy Technology Laboratory
- SLAC National Accelerator Laboratory
Recent drinking water regulations have imposed the need for per- and polyfluoroalkyl substances (PFAS) remediation. In response, treatment facilities may be required to retrofit existing treatment schemes to treat PFAS below maximum contaminant levels (MCLs). Adsorption technologies such as granular activated carbon (GAC) and ion exchange (IX) have been demonstrated to be effective; however, there are limited techno-economic metrics available which provide guidance on technology selection and design for diverse PFAS-containing source water conditions. Process systems engineering (PSE) tools which can traditionally perform these analyses are hindered by the data availability, model validity, and understanding of treatment phenomena for emerging contaminants. This work employs published data regressions, statistical models, process models, techno-economic analyses, and other process systems tools in a model-based uncertainty framework to consider the limitations of emerging contaminant research. Through this analysis framework, economic results are provided as probabilistic distributions based on the uncertainty of the models and diverse conditions that treatment facilities experience.
- Research Organization:
- National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States); National Laboratory of the Rockies (NLR), Golden, CO (United States); SLAC National Accelerator Laboratory (SLAC)
- Sponsoring Organization:
- USDOE Office of Critical Minerals and Energy Innovation (CMEI), Office of Innovation, Affordability, and Consumer Choice (IACC). Industrial Technologies Office (ITO); USDOE Office of Energy Efficiency and Renewable Energy (EERE); USDOE Office of Science (SC), Basic Energy Sciences (BES)
- Grant/Contract Number:
- AC02-76SF00515; AC36-08GO28308
- OSTI ID:
- 3028126
- Alternate ID(s):
- OSTI ID: 3028500
OSTI ID: 3029673
- Report Number(s):
- NLR/JA-5700-93645
- Journal Information:
- Journal of Environmental Management, Journal Name: Journal of Environmental Management Journal Issue: 2026 Vol. 404; ISSN 0301-4797
- Country of Publication:
- United States
- Language:
- English
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