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不同应用场景下电渗析海水淡化的碳足迹分析及碳中和潜力

Carbon footprint analysis and carbon neutrality potential of desalination by electrodialysis for different applications.

作者信息

Xue Na, Lu Jiaqi, Gu Dungang, Lou Yuhang, Yuan Yuan, Li Guanghui, Kumagai Shogo, Saito Yuko, Yoshioka Toshiaki, Zhang Nan

机构信息

Innovation Centre for Environment and Resources, School of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, No.333 Longteng Road, Songjiang District, Shanghai 201620, China.

Innovation Centre for Environment and Resources, School of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, No.333 Longteng Road, Songjiang District, Shanghai 201620, China; Graduate School of Environmental Studies, Tohoku University, 6-6-07 Aoba, Aramaki-aza, Aoba-ku, Sendai, Miyagi 980-8579, Japan.

出版信息

Water Res. 2023 Apr 1;232:119716. doi: 10.1016/j.watres.2023.119716. Epub 2023 Feb 7.

Abstract

Low-carbon water production technologies are indispensable for achieving sustainable development goals and mitigating global climate change. However, at present, many advanced water treatment processes lack a systematic assessment of related greenhouse gas (GHG) emissions. Thus, quantifying their life-cycle GHG emissions and proposing strategies toward carbon neutrality is urgently needed. This case study focuses on electrodialysis (ED), an electricity-driven desalination technology. To analyze the carbon footprint of ED desalination in various applications, a life cycle assessment model was developed based on industrial-scale ED processes. For seawater desalination, the carbon footprint is 59.74 kg CO-eq/metric ton removed salt, which is one order of magnitude lower than that of high-salinity wastewater treatment and organic solvent desalination. Meanwhile, the power consumption during operation is the main hotspot of GHG emissions. Power grid decarbonization and improved waste recycling in China are projected to reduce the carbon footprint up to 92%. Meanwhile, the contribution of operation power consumption is expected to reduce from 95.83% to 77.84% for organic solvent desalination. Through sensitivity analysis, significant non-linear impacts of process variables on the carbon footprint were determined. Therefore, it is recommended to optimize the process design and operation to reduce power consumption based on the current fossil-based grid. GHG reduction for module production and disposal should also be emphasized. This method can be extended to general water treatment or other industrial technologies for carbon footprint assessment and reducing GHG emission.

摘要

低碳水生产技术对于实现可持续发展目标和缓解全球气候变化不可或缺。然而,目前许多先进的水处理工艺缺乏对相关温室气体(GHG)排放的系统评估。因此,迫切需要量化其生命周期温室气体排放并提出碳中和策略。本案例研究聚焦于电渗析(ED),一种电力驱动的脱盐技术。为分析电渗析脱盐在各种应用中的碳足迹,基于工业规模的电渗析工艺开发了一个生命周期评估模型。对于海水淡化,碳足迹为59.74千克二氧化碳当量/公吨去除的盐,比高盐废水处理和有机溶剂脱盐的碳足迹低一个数量级。同时,运行期间的电力消耗是温室气体排放的主要热点。预计中国的电网脱碳和改进的废物回收将使碳足迹降低高达92%。同时,对于有机溶剂脱盐,运行电力消耗的贡献预计将从95.83%降至77.84%。通过敏感性分析,确定了工艺变量对碳足迹的显著非线性影响。因此,建议基于当前以化石燃料为基础的电网优化工艺设计和运行以降低电力消耗。还应强调减少模块生产和处置过程中的温室气体排放。该方法可扩展到一般水处理或其他工业技术,用于碳足迹评估和减少温室气体排放。

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