Evidence map›Paper›PMID 42236327›Full record

ArticleEnvironmental science & technology2026

Data-Driven Identification of Constraints and Enabling Pathways for Energy-Positive Wastewater Treatment.

Zi Zhang, Yuqing Yan, Xiatong Li, Emily Mayo, Zhiyong Jason Ren

Abstract read
In one paragraph

Article in Environmental science & technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zi ZhangDepartment of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey 08544, United States.ORCID 0000-0003-4673-1717
Yuqing YanDepartment of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey 08544, United States.ORCID 0000-0001-6403-8620
Xiatong LiDepartment of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey 08544, United States.ORCID 0009-0005-2775-6849
Emily MayoDepartment of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey 08544, United States.
Zhiyong Jason RenDepartment of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey 08544, United States.ORCID 0000-0001-7606-0331

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The wastewater sector accounts for ∼1% of global electricity use, and demand will rise as countries expand treatment to meet Sustainable Development Goal 6. Transitioning wastewater treatment plants (WWTPs) from energy consumers to net producers is therefore crucial, yet the system-level feasibility of energy-positive operation remains unclear. Using a national inventory of 2961 WWTPs, we remove operational bias through Stochastic Frontier Analysis (existing in 70% of plants) and develop an efficiency-adjusted energy baseline. Energy balance modeling shows that, under conventional scenarios, energy-positive treatment is achievable only for high-strength wastewater (COD 334-426 mg/L, COD/TN ratio 8.5-11.9), excluding most global facilities. However, when evaluating two carbon-redirection pathways that integrate enhanced primary treatment with mainstream Anammox, we find such pathways can reduce entry thresholds to COD 153-198 mg/L and COD/TN 4.9-5.7, enabling low-strength systems to approach energy positivity. Medium-scale facilities are found to be the most favorable candidates. This characteristic-driven framework motivates future research and pilot demonstrations aimed at expanding the frontiers of energy-positive wastewater treatment.

Indexed as

Waste Disposal, FluidWastewaterWastewateranammoxcarbon redirectionintegrated modelingintrinsic energy demandnet energy producerwastewater

Identifiers

PMID42236327
PMCPMC13276910

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.