科研速览 · Science Skim继续刷下去 · Keep skimming →
◆ Environmental Science & Technology2026-06-03· Sewage treatment

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

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

原始摘要(英文原文)· Original 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.
读原文 · Read the paper ↗

AI 追问PRO

登录后使用 AI 追问

讨论区

登录后参与讨论

相关论文 · Related

Data-Driven Identification of Constraints and Enabling Pathways for Energy-Positive Wastewater Treatment — 科研速览 Science Skim