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Record W7125090112

New pilot scale concepts for water treatment with membrane technology

2024· article· en· W7125090112 on OpenAlexaboutno aff
Frank Lipnizki, Tobias Hey, Giampaolo Manzolini, Irena Petrinić, Muhammad Suleman, Ahmet H. Avci, Therese Jephson, Henrik Aspegren

Bibliographic record

VenueLund University Publications (Lund University) · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicMembrane Separation Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsWater treatmentReverse osmosisNanofiltrationDesalinationStormwaterUltrafiltration (renal)MicrofiltrationProduced waterMembrane technology
DOInot available

Abstract

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IntroductionGlobal water scarcity necessitates innovative approaches to water treatment. Membrane technology has emerged as a key solution, demonstrating its effectiveness across a range of applications, from seawater desalination using reverse osmosis to wastewater treatment with membrane bioreactors. This presentation will introduce three novel water treatment concepts based on membrane technology, detailing their development from initial idea to pilot-scale testing. The concepts include utilizing microfiltration/ultrafiltration (MF/UF) membranes for the efficient collection and purification of stormwater, implementing direct membrane filtration (DMF) for enhanced wastewater treatment processes, and combining forward osmosis (FO), membrane distillation (MD), and nanofiltration (NF) for a more efficient seawater desalination process. These innovative approaches promise to enhance water treatment efficiency and sustainability, addressing the critical issue of water scarcity.MF/UF for rain and stormwater harvestingThe 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 target would bring it down to around 100 liters. Approximately 45 liters per person per day are used for purposes such as toilets and washing machines, which do not require drinking water quality. The project proposes using membrane technology to treat stormwater for these uses.Initial trials of this concept were conducted at a stormwater pond in Lund, Sweden, utilizing a unit with 5 m² of submerged ceramic membranes. Specifically, silicon carbide membranes (Liqtech, Denmark) with a 400 kDalton molecular weight cut-off were used. These membranes effectively 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. Building on these successful trials, a full-scale unit was installed at the Röda Oasen apartment building in Malmö, Sweden. This unit employs 13.8 m² of ceramic silicon carbide membranes (Cembrane, Denmark) with a 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 collected from the roof and an underground tank. This installation saves the property owner approximately 40% of their drinking water consumption, equating to 475,000 liters annually.Wastewater treatment with DMFThe DMF concept, an abiotic alternative for municipal wastewater treatment, employs coagulation, flocculation, and microsieving before membrane treatment. This approach achieves high carbon rejection, which enhances biogas production and paves the way for a potentially energy-neutral or energy-positive process. The concept was successfully tested on a 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.Building on the positive pilot test results, a larger unit was installed in Fredrikstad, Norway, capable of treating over 90 m³ of wastewater per day. This installation is currently one of the largest DMF plants for wastewater treatment. These two cases demonstrate that DMF can achieve high rejection rates of carbon (COD, SS) and total phosphorus. Moreover, its significant carbon rejection capability can substantially boost biogas production, advancing the goal of energy-neutral or energy-positive wastewater treatment.Novel concept for seawater desalinationThe EU-Horizon 2020 project DESOLINATION (Demonstration of Concentrated Solar Power Coupled with Advanced Desalination System in the Gulf Region) aims to efficiently integrate 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 utilizes a thermo-responsive polymer as a forward osmosis (FO) draw solution, combined with nanofiltration (NF), membrane distillation (MD), and a coalescer. A key success factor is the draw solution, which must provide sufficient osmotic pressure to desalinate seawater with 3.5% salt while being compatible with the membranes and modules used. Initial trials of the individual units are currently ongoing in the pilot plant hall at Lund University, Sweden. Based on these results, a large-scale pilot will be installed at the CSP plant of King Saud University in Riyadh, Saudi Arabia.Outlook and conclusionsThese innovative water treatment concepts showcase the significant potential of membrane technology in addressing global water scarcity. By progressing from pilot studies to full-scale implementations, these projects are paving the way for more sustainable and efficient water management solutions on a global scale.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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.002

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.

Opus teacher head0.015
GPT teacher head0.221
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2024
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