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Updated: Nov 5, 2025

Three-Dimensionally Printed Microfluidic Cross-flow System for Ultrafiltration/Nanofiltration Membrane Performance Testing
Published on: February 13, 2016
Process-based LCA of ultrafiltration for drinking water production
Flavie Prézélus1, Ligia Tiruta-Barna2, Jean-Christophe Remigy3
1Laboratoire de Génie Chimique, Université de Toulouse, CNRS, INPT, UPS, Toulouse, France; TBI, Université de Toulouse, CNRS, INRAE, INSA, Toulouse, France.
A new tool integrates membrane filtration modeling with life cycle analysis to assess and reduce environmental impacts. Optimizing filtration flux and cycle duration effectively minimizes energy and chemical consumption in water treatment.
Area of Science:
- Environmental science and engineering
- Process engineering
- Water treatment technologies
Background:
- Decision-making tools are crucial for environmental mitigation and ecodesign in industrial processes.
- Membrane filtration is widely used but has significant environmental considerations.
Purpose of the Study:
- To develop a coupled model integrating membrane filtration process simulation and life cycle analysis (LCA).
- To evaluate environmental impacts of membrane filtration for drinking water production.
- To identify optimal operating strategies for mitigating environmental hotspots.
Main Methods:
- Developed a generic model coupling membrane filtration process simulation with LCA.
- Calculated material and energy flows under variable operating conditions.
- Applied the model to dead-end ultrafiltration of ground and surface water using cellulose triacetate hollow fibers.
Main Results:
- Identified electricity and backwash cleaning chemicals as major environmental hotspots.
- Demonstrated that adjusting filtration cycle duration and filtration flux can significantly mitigate environmental impacts.
- The model provides a quantitative basis for environmental impact assessment.
Conclusions:
- The developed integrated model offers a flexible and modular tool for environmental assessment of membrane processes.
- Optimizing operational parameters like filtration flux and cycle duration is key to reducing the environmental footprint of water treatment.
- The model can be adapted for various membrane materials, configurations, and applications.
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