Financially Driven Hydrothermal-based Wastewater Solids Management for Targeted Resource Recovery and Decarbonization in the Contiguous U.S.

28 May 2025, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Wastewater solids management is a key contributor to the operational cost and greenhouse gas (GHG) emissions of water resource recovery facilities (WRRFs). This study proposes a ‘waste-to-energy’ strategy using a hydrothermal liquefaction (HTL)-based system to displace conventional energy- and emission-intensive practices. The proposed system directs HTL-produced biocrude to oil refineries and recovers regionally tailored nitrogen and phosphorus fertilizers. In an independent facility analysis, 555 WRRFs in the contiguous U.S. (CONUS) could deploy financially viable HTL-based wastewater solids management, simultaneously achieving cost savings of 4.49M [3.76M to 5.28M] $·day−1 and a GHG reduction of 1,240 [353 to 2160] tonne CO2 eq·day−1 while offsetting ~1 to 2% of synthetic fertilizers. Key sustainability drivers include the biochemical composition of solids and internal rate of return (IRR), though IRR becomes less impactful at larger WRRFs. In a hub analysis, shared processing of wastewater solids at HTL-based treatment centers expands financially driven decarbonization opportunities to WRRF networks with solids mass flows higher than 6 to 8 tonne·day−1 and average transportation distances less than 80 to 150 km. Overall, this study highlights the potential of HTL-based systems for financially viable wastewater solids management while simultaneously reducing GHG emissions and achieving targeted resource recovery in the CONUS.

Keywords

Circular economy
Decarbonization
De-fossilization
Sludge
Biosolids
Techno-economic analysis (TEA)
Life cycle assessment (LCA)
Geospatial analysis

Supplementary materials

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Supporting Information
Description
Detailed description of contextual parameters; hydrothermal system design and process conditions; TEA and LCA assumptions and parameters; selection of uncertainty distributions; supplemental uncertainty and sensitivity methodology details; supplemental results on the performance of HTL-based wastewater solids management systems.
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Supporting Excel File
Description
Information on WRRFs, oil refineries, contextual parameters, TEA results, and LCA results.
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