New concepts for water treatment with membrane technology: From ideas to large pilot scale tests
Bibliographic record
Abstract
IntroductionGlobal water scarcity requires new approaches for water treatment. Membrane technology has proven itself as key technology for water treatment from seawater desalination with reverse osmosis to wastewater treatment with membrane bioreactors. In this presentation three new water treatment concepts based on membrane technology and their development from idea to pilot scale testing will be presented. The concepts cover rainstorm water harvesting with micro-/ultrafiltration (MF/UF), direct membrane filtration (DMF) for wastewater treatment and an integrated concept of forward osmosis (FO) and membrane distillation (MD) and nanofiltration (NF) for seawater desalination. Rain and stormwater harvesting with MF/UFThe EU-Horizon 2020 project REWAISE (Resilient Water Innovation for Smart Water Economy) aims to reduce drinking water consumption by 30%. In Sweden, where the average consumption is 140 liters per person per day, this would mean a reduction to around 100 liters [1]. About 45 liters per person per day are used for toilets and washing machines, which don't require drinking water quality. The project proposes using membrane technology to upgrade stormwater for these purposes. The initial trails of this concept were conducted at stormwater pond in Lund, Sweden, using a unit with 5 m² submerged ceramic membranes, specifically silicon carbide membranes (Liqtech, Denmark) with a 0.2 micron pore size and a 400 kDalton molecular weight cut-off. These membranes remove microplastics and micropollutants larger than 0.2 microns from stormwater. The results showed efficient removal of micropollutants, microplastics, and some heavy metals, producing water close to EU class 'A' quality for agricultural use. Based on the successful trails, a full-scale unit was then installed at the Röda Oasen apartment building in Malmö, Sweden. This unit uses 13.8 m² of ceramic silicon carbide membranes (Cembrane, Denmark) with a 0.1 micron pore size and 200 kDalton molecular weight cut-off. Operational since February 2024, it produces about 1,300 liters of water daily for 22 toilets and 4 washing machines, using stormwater from the roof and an underground tank. The installation saves the property owner approximately 40% of drinking water consumption, or 475,000 liters annually.DMF for wastewater treatmentThe DMF concept, an abiotic alternative for municipal wastewater treatment, uses coagulation, flocculation, and microsieving before membrane treatment. It has high carbon rejection, enhancing biogas production for a potentially energy-neutral or positive process. The concept was successfully tested on pilot scale in Lund, Sweden using 0.2 μm PVDF microfiltration membranes (Alfa Laval, Denmark) with coagulation, polymer addition, and 100 µm micro-screening as pre-treatment. Based on the positive results from the tests larger unit treating over 90 m3 of wastewater per day was installed in Fredrikstad, Norway, and is so far one of the largest DMF plants for wastewater treatment. The two cases show that DMF can achieve high rejection rates of carbon (COD, SS) and total phosphorus, and its high carbon rejection can boost biogas production, moving towards energy-neutral or positive wastewater treatment.Membrane-based seawater desalinationIn the EU-Horizon 2020 project DESOLINATION project (Demonstration of Concentrated Solar Power Coupled with Advanced Desalination System in the Gulf Region) the aims is to develop the efficient integration of a concentrated solar power (CSP) system with a membrane-based desalination system on a pilot-scale in a real-world setting. Waste heat from the CSP system will power the desalination process, reducing costs—a major barrier to CSP deployment. The concept is based on using a thermo-responsive polymer as FO draw solution with NF and MD plus a coalescer. A key success factor is the draw solution which needs to provide sufficient osmotic pressure to desalinate seawater with 3.5% salt and has to be compatible with the membranes as well as the modules used. Initial trials of the individual units are currently ongoing in the pilot plant hall at Lund University, Sweden and based on the results, a large scale pilot will be installed at CSP plant of King Saud University in Riyadh, Saudi Arabia. Outlook and conclusionsThese innovative water treatment concepts demonstrate the significant potential of membrane technology to address global water scarcity. By advancing from pilot studies to full-scale implementations, these projects pave the way for more sustainable and efficient water management solutions worldwide.AcknowledgmentsThe research is partly funded by the REWAISE “Resilient Water Innovation for Smart Economy” (Project No. 869496) and DESOLINATION (Project No. 101022686) under the European Horizon 2020 programme.References[1] Svenskt Vatten (2017). Värt att veta om vatten. https://www.svensktvatten.se/globalassets/fakta-om-vatten/dricksvattenfakta/vart-att-veta-om-vatten_2017.pdf
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".