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Record W2939084174

Hemicellulose isolation from thermomechanical pulp mill process water using UF: Optimisation and economics

2008· article· en· W2939084174 on OpenAlexaboutno aff
Frank Lipnizki, Tobias Persson, Ann‐Sofi Jönsson

Bibliographic record

VenueLund University Publications (Lund University) · 2008
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced Cellulose Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPulp and paper industryMicrofiltrationPulp (tooth)Pulp millUltrafiltration (renal)HemicelluloseReverse osmosisWastewaterMaterials scienceMembraneWaste managementRaw materialFiltration (mathematics)CelluloseChemistryChromatographyEffluentEngineeringMathematicsOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

Every year, 100,000 tons of dissolved hemicelluloses are discharge unused with wastewater from thermomechanical pulp mills around the world. Isolation of these hemicelluloses from the wastewater would not only reduce the treatment costs for the pulp mills but would also provide an excellent raw material for high value applications such as oxygen barriers in food packaging. The isolation of the hemicelluloses can be combined with polishing of the waste-water by using different filtration processes. The initial step in this combination is either a drum filter or a microfiltration treatment to remove solid residues from the wastewater followed by ultrafiltration to concentrate the hemicelluloses. The permeate from the ultra-filtration can then be further polished by reverse osmosis before recycling. The focus of this paper is on the optimisation of the ultrafiltration step concentrating on the membrane selection and its impact on the process economics. The membrane selection includes the newly developed commercial UFX5 pHt membrane (Alfa Laval, Denmark) based on hydrophilised polyethersulfone. The feed studied in this paper is process water from the thermomechanical pulp mill Stora Enso Kvarnsveden (Sweden). The temperature of this process stream is 75°C. To reduce the need for cooling and preserve the energy, temperature tolerance is an important membrane selection parameter. Further, since the process water contains resin and lignin, which tend to foul membranes, the hydrophilicity of the membrane is another important selection parameter. Based on this, five membranes with molecular weight cut-offs (MWCOs) between 1 – 10 kD were pre-selected: (1) a hydrophilised fluoro polymer membrane ETNA01PP, MWCO: 1 kD, (2) a hydrophilised fluoro polymer membrane ETNA10PP, MWCO: 10 kD, (3) a hydro¬philised polyethersulfone membrane UFX5 pHt, MWCO: 5 kD (all Alfa Laval, Denmark), (4) a regenerated cellulose membrane UC005, MWCO: 5 kD, and (5) a polyethersulfone membrane UP005, MWCO: 5 kD (all Microdyn-Nadir, Germany). The ETNA01PP, ETNA10PP, and UC005 are limited to a temperature of 60/55°C and to a pH range of 1 to 11, whereas the UP005 and UFX5 pHt can be operated up to 75°C and in a pH range from 1 to 14/13. In the initial study, a small flat test module was used to study the pure water fluxes and the fouling behaviour of the membranes related to octanoic acid, a fouling substance which represents a significant number of small hydrophobic substances. Based on this, ETNA01PP, ETNA10PP, and UFX5 pHt were selected for further experiments in 2.5” spiral wound modules using process water from Kvarnsveden pulp mill. In these experiments, among others the flux decline with increasing concentration of hemicelluloses at different transmembrane pressures and cross-flow velocities as well as the retention of hemicelluloses under these conditions were studied. The experimental results of ETNA10PP, ETNA01PP and UFX5 pHt were then used as basis for the development of a full-scale system to treat a feed stream of 100 m3/h with an initial feed temperature of 60/75ºC. Both investment and operating costs were analysed as well as the impact of retention and operating conditions on the ultrafiltration process. It was revealed that operating temperature and membrane selection/retention had an impact on both the investment and operating costs. In conclusion, the results show that ultrafiltration is an attractive process unit in the hemicelluloses isolation process.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.833
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.035
GPT teacher head0.230
Teacher spread0.195 · 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 teacher head, not a consensus.

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".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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