What does this research mean for the field?

A Water-Energy-Carbon Coupling Index (WECCI) framework combined with hybrid renewable energy configurations can optimize trade-offs in wastewater treatment plants, achieving up to 30.1% energy self-sufficiency and identifying low-dissolved oxygen and high-ammonia nitrogen regions as key greenhouse gas emission hotspots. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The study aims to develop a framework for assessing the interactions between water quality, energy efficiency, and greenhouse gas emissions in wastewater treatment plants.

June 3, 2026Journal of Cleaner Production0 citationsOpen Access

Water–energy–carbon coupling index assessment of aeration control and techno-economic analysis of hybrid renewable energy for wastewater treatment plant

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ISIntae ShimKorea Institute of Civil Engineering and Building Technology JPJeongbeen ParkKorea Institute of Civil Engineering and Building Technology JLJuwon LeeKorea Institute of Civil Engineering and Building Technology

Key Points

The study aims to develop a framework for assessing the interactions between water quality, energy efficiency, and greenhouse gas emissions in wastewater treatment plants.
Developed a Water–Energy–Carbon Coupling Index (WECCI) framework integrating aeration control and renewable energy.
Utilized mixed-effects modeling to identify low-DO/high-NH3-N areas as greenhouse gas emission hotspots.
Implemented WECCI–TOPSIS for scenario optimization under various policy priorities.
Achieved up to 30.1% energy self-sufficiency with proposed hybrid renewable energy configurations.
Quantified trade-offs between water quality and energy efficiency.
Identified significant GHG emission hotspots in low-DO/high-NH3-N regions.

Abstract

• Developed a Water–Energy–Carbon Coupling Index (WECCI) framework integrating aeration control and renewable energy. • Quantified trade-offs between water quality, energy efficiency, and GHG emissions in WWTPs. • Identified low-DO/high-NH 3 -N regions as GHG emission hotspots using mixed-effects modeling. • Demonstrated robust scenario optimization using WECCI–TOPSIS under diverse policy priorities. • Proposed techno-economic hybrid renewable energy configurations achieving up to 30.1% energy self-sufficiency.

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Cite This Study

Shim et al. (2026) studied this question.

synapsesocial.com/papers/6a1fc3eddee9eb8c0dce57be https://doi.org/10.1016/j.jclepro.2026.148609

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June 3, 2026Journal of Cleaner Production0 citationsOpen Access

Water–energy–carbon coupling index assessment of aeration control and techno-economic analysis of hybrid renewable energy for wastewater treatment plant

View Full Paper

Key Points

The study aims to develop a framework for assessing the interactions between water quality, energy efficiency, and greenhouse gas emissions in wastewater treatment plants.
Developed a Water–Energy–Carbon Coupling Index (WECCI) framework integrating aeration control and renewable energy.
Utilized mixed-effects modeling to identify low-DO/high-NH3-N areas as greenhouse gas emission hotspots.
Implemented WECCI–TOPSIS for scenario optimization under various policy priorities.
Achieved up to 30.1% energy self-sufficiency with proposed hybrid renewable energy configurations.
Quantified trade-offs between water quality and energy efficiency.
Identified significant GHG emission hotspots in low-DO/high-NH3-N regions.

Abstract

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Cite This Study

Shim et al. (2026) studied this question.

synapsesocial.com/papers/6a1fc3eddee9eb8c0dce57be https://doi.org/10.1016/j.jclepro.2026.148609

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