Carbon footprint of chlorination and photocatalytic tertiary wastewater treatments

\nThis study depicts a comparative carbon footprint analysis of two tertiary wastewater treatment methods: chlorination and photocatalytic. It integrates data from an extensive literature review and an on-site investigation conducted at the Aqualia plant in Spain. The analysis employed a Life Cycle Assessment (LCA) methodology using SimaPro software to assess the carbon footprint of each treatment method. Data was collected from various literature sources and the Aqualia plant. Results indicate that the chlorination process exhibits a lower carbon footprint than the photocatalytic process. Notably, the electricity requirements of the photocatalytic treatment contribute significantly to its higher carbon emissions. The literature review and the data collected from the Aqualia plant consistently support the finding that the energy-intensive nature of the photocatalytic process leads to more significant carbon emissions. Despite the higher treatment efficiency of the photocatalytic process, the analysis reveals that the chlorination process remains a more environmentally favorable choice regarding carbon footprint. The substantial electricity demand of the photocatalytic process offsets its efficiency benefits, resulting in higher carbon emissions. In conclusion, while photocatalytic treatment demonstrates superior wastewater treatment efficiency, a holistic consideration of environmental impacts is crucial. These insights provide valuable guidance for stakeholders in the wastewater treatment industry, supporting adopting sustainable practices that prioritize reducing carbon emissions.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-11-07
DOI
https://doi.org/10.1051/e3sconf/202458509003/pdf
Primary Topic
Prenatal Screening and Diagnostics
Type
article
Field-Weighted Citation Impact
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article

Carbon footprint of chlorination and photocatalytic tertiary wastewater treatments

Springer Link (Chiba Institute of Technology)
Prenatal Screening and Diagnostics
article

Carbon footprint of chlorination and photocatalytic tertiary wastewater treatments

article en

Abstract

\nThis study depicts a comparative carbon footprint analysis of two tertiary wastewater treatment methods: chlorination and photocatalytic. It integrates data from an extensive literature review and an on-site investigation conducted at the Aqualia plant in Spain. The analysis employed a Life Cycle Assessment (LCA) methodology using SimaPro software to assess the carbon footprint of each treatment method. Data was collected from various literature sources and the Aqualia plant. Results indicate that the chlorination process exhibits a lower carbon footprint than the photocatalytic process. Notably, the electricity requirements of the photocatalytic treatment contribute significantly to its higher carbon emissions. The literature review and the data collected from the Aqualia plant consistently support the finding that the energy-intensive nature of the photocatalytic process leads to more significant carbon emissions. Despite the higher treatment efficiency of the photocatalytic process, the analysis reveals that the chlorination process remains a more environmentally favorable choice regarding carbon footprint. The substantial electricity demand of the photocatalytic process offsets its efficiency benefits, resulting in higher carbon emissions. In conclusion, while photocatalytic treatment demonstrates superior wastewater treatment efficiency, a holistic consideration of environmental impacts is crucial. These insights provide valuable guidance for stakeholders in the wastewater treatment industry, supporting adopting sustainable practices that prioritize reducing carbon emissions.\n

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 40%
Prenatal Screening and Diagnostics
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Carbon footprint of chlorination and photocatalytic tertiary wastewater treatments · Springer Link (Chiba Institute of Technology) (2024) | TGRS Research Map | TGRS