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Author |
Lindeboom, R.E.F.; De Paepe, J.; Vanoppen, M.; Alonso-Fariñas, B.; Coessens, W.; Alloul, A.; Christiaens, M.E.R.; Dotremont, C.; Beckers, H.; Lamaze, B.; Demey, D.; Clauwaert, P.; Verliefde, A.R.D.; Vlaeminck, S.E. |
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Title |
A five-stage treatment train for water recovery from urine and shower water for long-term human Space missions |
Type |
A1 Journal article |
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Year  |
2020 |
Publication |
Desalination |
Abbreviated Journal |
Desalination |
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Volume |
495 |
Issue |
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Pages |
114634 |
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Keywords |
A1 Journal article; Sustainable Energy, Air and Water Technology (DuEL) |
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Abstract |
Long-term human Space missions will rely on regenerative life support as resupply of water, oxygen and food comes with constraints. The International Space Station (ISS) relies on an evaporation/condensation system to recover 74–85% of the water in urine, yet suffers from repetitive scaling and biofouling while employing hazardous chemicals. In this study, an alternative non-sanitary five-stage treatment train for one “astronaut” was integrated through a sophisticated monitoring and control system. This so-called Water Treatment Unit Breadboard (WTUB) successfully treated urine (1.2-L-d−1) with crystallisation, COD-removal, ammonification, nitrification and electrodialysis, before it was mixed with shower water (3.4-L-d−1). Subsequently, ceramic nanofiltration and single-pass flat-sheet RO were used. A four-months proof-of-concept period yielded: (i) chemical water quality meeting the hygienic standards of the European Space Agency, (ii) a 87-±-5% permeate recovery with an estimated theoretical primary energy requirement of 0.2-kWhp-L−1, (iii) reduced scaling potential without anti-scalant addition and (iv) and a significant biological reduction in biofouling potential resulted in stable but biofouling-limited RO permeability of 0.5 L-m−2-h−1-bar−1. Estimated mass breakeven dates and a comparison with the ISS Water Recovery System for a hypothetical Mars transit mission show that WTUB is a promising biological membrane-based alternative to heat-based systems for manned Space missions. |
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Wos |
000582172900007 |
Publication Date |
2020-09-15 |
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ISSN |
0011-9164 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
9.9 |
Times cited |
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Open Access |
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Approved |
Most recent IF: 9.9; 2020 IF: 5.527 |
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Call Number |
UA @ admin @ c:irua:171514 |
Serial |
6523 |
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Author |
Brauns, E.; van Hoof, E.; Huyskens, C.; de Wever, H. |
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Title |
On the concept of a supervisory, fuzzy set logic based, advanced filtration control in membrane bioreactors |
Type |
A1 Journal article |
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Year |
2011 |
Publication |
Desalination and water treatment |
Abbreviated Journal |
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Volume |
29 |
Issue |
1/3 |
Pages |
119-127 |
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Keywords |
A1 Journal article; Engineering sciences. Technology; Sustainable Energy, Air and Water Technology (DuEL) |
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Abstract |
The filtration process within a membrane bioreactor (MBR) is mostly controlled in a classic way through typical set-points such as aeration flow rate, filtration duration, backwash frequency or relaxation duration. The values of these filtration set-points result from experience and remain often unchanged during the installations operational lifetime. Filtration is dictated considerably by membrane fouling phenomena. The fouling potential of the mixed liquor however can significantly fluctuate, even daily, from changing influent characteristics. Fixed set-point values thus may represent sub-optimal filtration conditions. Consequently, a supervising advanced control system, being able to continuously adapt the set-points values would be beneficial regarding the MBR filtration process optimization. Such optimization could reduce the corresponding MBR energy consumption, e.g. linked to the filtration related membrane aeration. An Advanced Control System (ACS) based on Fuzzy Set Logic (FSL) is introduced here, enabling to supervise an existing classic membrane filtration control system. Such ACS is able to daily (or even more frequent) optimize the set-points of the underlying classic control system, from the input of various sensor and process parameter values. The theoretical background and practical implementation of the FSL based ACS concept is explained. |
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Wos |
000291314400014 |
Publication Date |
2011-06-19 |
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ISSN |
1944-3994; 1944-3986 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
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Times cited |
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Open Access |
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no |
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Call Number |
UA @ admin @ c:irua:90094 |
Serial |
8328 |
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