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Related Experiment Video

Updated: May 15, 2026

Proof-of-Concept for Gas-Entrapping Membranes Derived from Water-Loving SiO2/Si/SiO2 Wafers for Green Desalination

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Published on: March 1, 2020

Systematic Material Optimization for Membrane Distillation Resource Recovery through Materials Informatics, Life

Saketh Merugu¹, Keval Bharatbhai Suthar¹, Anju Gupta¹

¹Department of Mechanical, Industrial and Manufacturing Engineering, The University of Toledo, 2801 West Bancroft Street, Toledo, Ohio 43606, United States.

ACS ES&T Engineering

|May 14, 2026

Summary

This summary is machine-generated.

Materials informatics and lifecycle assessment guide membrane selection for membrane distillation (MD). Sustainable recycling, not just production energy, determines optimal material choice for circular water economies.

Keywords:

Ansys circular water economy desalination resource recovery sustainability

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Published on: August 9, 2024

Area of Science:

Materials Science
Chemical Engineering
Environmental Science

Background:

Membrane selection for membrane distillation (MD) often relies on empirical methods.
Developing sustainable solutions for the circular water economy requires advanced material selection strategies.

Purpose of the Study:

To apply materials informatics and life cycle assessment (LCA) for optimizing membrane materials in MD.
To identify context-specific optimal materials for diverse circular water economy applications.

Main Methods:

Utilized Ansys Granta materials informatics for database screening of 22 candidate materials (polymers, biopolymers, ceramics).
Conducted direct contact MD (DCMD) experiments to validate informatics predictions with commercial membranes (PP, PVDF, PTFE).
Performed LCA at a 10,000 m³·day⁻¹ scale to evaluate lifecycle sustainability and environmental performance.

Main Results:

LCA revealed that materials with high production energy (PEEK, PES) can be sustainable due to end-of-life recycling, challenging the focus on production carbon footprint.
DCMD experiments validated informatics predictions, showing high salt rejection (>99%) and varying fluxes for PP, PVDF, and PTFE.
Cross-property analysis identified maximum service temperature and tensile strength as key correlated properties (r=0.67).

Conclusions:

Material rankings are context-dependent, with no single universally optimal material for MD.
A multicriteria performance index (Π) demonstrated that Titania, SBS, and PVC lead under different weighting priorities (balanced, flux, sustainability).
This framework provides a replicable, transparent approach for application-specific material guidance in circular water economy MD deployments.