Fenton-like系统的比较生命周期评估:还原剂驱动策略的环境效益见解

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-07-01 Epub Date: 2025-03-13 DOI:10.1016/j.watres.2025.123489
Daoyuan Zu , Jianbo Liu , Heting Wei , Kui Yang , Hailin Tian , Jinxing Ma , Zhifeng Yang
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引用次数: 0

摘要

还原剂驱动的类芬顿高级氧化工艺(AOPs)提供了减少过渡金属和氧化剂消耗的潜力,但引入还原剂对环境的影响尚不清楚。本研究采用生命周期评估(LCA)来评估还原剂驱动的芬顿类系统对环境的影响,作为传统AOP的替代方案。研究了五种不同的类芬顿系统,并对其运行参数进行了系统优化,编制了相应的生命周期清单。结果表明,引入还原剂将环境热点从氧化剂转移到添加的还原剂。商品化学还原剂(羟胺和抗坏血酸)由于规模经济而显著减少能源消耗和环境破坏。它们的单位累积能量需求(CED)和环境破坏值比特种化学还原剂(10.31和8.93 MJ g−1 MXene和MoS2)低两个数量级。因此,新型催化剂可能与高能耗和有毒副产品有关,需要仔细评估其催化效率和单位环境影响,以确定总体环境效益。扩大化学品生产、采用再生战略和向可再生能源过渡是进一步改善环境的关键战略。本研究提供了一个定量的框架来评估可替代的类芬顿系统的环境性能,为设计更环保的可持续水净化技术提供信息。
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Comparative life cycle assessment of Fenton-like systems: Insights into the environmental benefits of reductant-driven strategies
Reductant-driven Fenton-like advanced oxidation processes (AOPs) offer the potential to reduce transition metal and oxidant consumption, but the environmental implications of introducing reductants remain unclear. This study employs life cycle assessment (LCA) to evaluate the environmental impacts of reductant-driven Fenton-like systems as an alternative to conventional AOP. Five distinct Fenton-like systems were investigated, and their corresponding life cycle inventories compiled following systematic optimization of operating parameters. Results demonstrate that introducing reductant shifts environmental hotspots from oxidants to the added reductants. Commodity chemical reductants (hydroxylamine and ascorbic acid) significantly reduce energy consumption and environmental damage due to economies of scale. Their per unit Cumulative Energy Demand (CED) and environmental damage value are two orders of magnitude lower than those of specialty chemical reductants (10.31 and 8.93 MJ g−1 MXene and MoS2). Thus, novel catalysts, potentially associated with high energy consumption and toxic byproducts, require careful evaluation of their catalytic efficiency and unit environmental impact to determine overall environmental benefits. Scaling up chemical production, adopting regeneration strategy and transitioning to renewable energy sources represent key strategies for further environmental improvement. This study provides a quantitative framework for assessing the environmental performance of alternative Fenton-like systems, informing the design of more environmentally sustainable water purification technologies.
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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