PPT presentation Phragmifilter
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Transcript PPT presentation Phragmifilter
EPUR NATURE :
A company which designs and builds
reed bed filters for waste water
treatment from 50 to 5000 p.e.
www.epurnature.fr
The Phragmifilter® System
Waste water treatment by reed bed filters, according to
the research of
Over
650
PLANTS BUILT
In France, but also in
Switzerland, Germany ,
Belgium, Spain, Portugal
…
Roussillon plant, Vaucluse, 1250 p.e
The Phragmifilter® System
Treatment of wastewater by reed bed filters
Simple operation at low cost, with
low or even zero energy
consumption
Reliable and efficient
Integrated treatment of sewage
sludge
Perfect integration into natural
landscape
Can be built with local materials by
local labor
No odors, no noise, no mosquitoes
Low carbon footprint
Roussillon plant, Vaucluse, 1250 p.e.
The general principle
-Stage 1 - 3 beds in parallelArrival of raw wastewater
Treatment by reed bed filters
Retention of up to 90% of suspended solids
1st siphon
2nd siphon
-Stage 2Treatment by reed bed filters
– 2 beds in parallel
Collection hole
Discharge
Dimensioning of a typical Phragmifilter® plant
If no other constraints : 1.2 m2.PE-1 at the 1st
stage (first stage) and 0.8 m2.PE-1 (second
stage)
To avoid clogging rest periods
feeding/rest period of 3.5/7 at the 1st stage
and 7/7 at the second stage
Panorama
Design of a typical French CW fed raw wastewater designed by
EPURNATURE (1st stage of a Phragmifilter®)
Dimensioning based on an acceptable organic and
hydraulic load :
max. 100 g COD per m² and day (total area of first stage)
max. 0,90 m dry weather hydraulic load (bed in
operation)
Roussillon Phragmifilter ® CW plant : 1250
p.e. built in 1998
Filtres plantés de roseaux : Enquête Cemagref / Satese / Agences 2003-2004
134 24h monitoring of 54 two stage vertical reed bed
filters in France (not only ours)
Plants between 2 months to 7 years old
Mean hydraulic loading : 100 %
Mean organic loading : 67 %
Size : mean 410 p.e and median 325 p.e.
Concentrations in
mg.L-1
Performance
in
%
COD
BOD
SS
NK
Pt
mean
88
17
16
13
7,9
Standard deviation
50
25,5
27
17
6,9
Number of samples
122
119
122
120
118
mean
88
94
94
82
30
Standard deviation
16
8,3
9,3
20,5
89,3
Number of samples
108
106
109
108
109