only deep well pumpsin all categories
only deep well pumps
United Kingdom

Optima 3SDm 1.8/37

Photos - Deep Well Pump Optima 3SDm 1.8/37
Photos 3
Outdated Product
$206.72 up to $236.00
Max. performance (L/h): 2400; Max. head (m): 155; Power consumption (W): 1100; Overheat protection; Country of origin: Poland;
Find prices on Amazon.uk
Find prices on eBay.uk
add to listmy lists
Optima 3SDm 1.8/37
centrifugaloverheat protection
35 m
3 m³/h
42 m
3 m³/h
45 m
2.5 m³/h
46 m
3 m³/h
59 m
3 m³/h
61 m
2.1 m³/h
65 m
3 m³/h
84 m
3 m³/h
85 m
2.1 m³/h
90 m
3 m³/h
115 m
2.1 m³/h
117 m
2.4 m³/h
124 m
2.5 m³/h
155 m
2.4 m³/h
159 m
2.1 m³/h
Main
Max. performance2400 L/h / maximum /
Max. head155 m / maximum /
Specs
Operating principlecentrifugal
Max. immersion depth20 m
Suction systemmultistage / 37 steps /
Number of suction stages37
Oulet size1"
Max. liquid T30 °С
Motor
Power consumption1100 W
Mains voltage230 V
Power cable length15 m
General specs
Overheat protection
Country of originPoland
Impeller materialpolycarbonate
Added to E-Catalogoctober 2015
Information in model description is for reference purposes.
Before buying always check characteristics and configuration of product with online store manager
Catalog Optima 2024 - new products, best sales and most actual models Optima.
We recommend
Grundfos SQE
from £1,900.00 
5000 L/h, 1850 W, 73 m
Pedrollo NK
from £595.00 
7200 L/h, 2200 W, 105 m
Karcher BP
from £452.02 
5000 L/h, 1000 W, 55 m
Grundfos SQ
from £699.00 
3000 - 7500 L/h, 650 - 2540 W, 56 - 106 m
GARDENA 5500-6000
from £473.35 
6000 L/h, 950 W, 50 m
Pedrollo 4SR
from £302.28 
3900 / 22500 L/h, 750 / 4000 W, 80 / 94 m
Pedrollo 4Block
from £470.00 
9000 L/h, 550 W, 27 m
Pedrollo 6SR
from £1,898.41 
19800 - 60000 L/h, 4000 - 22000 W, 54 - 390 m
Hillvert HT-ROBSON
from £129.00 
3000 - 9000 L/h, 550 - 2200 W, 54 - 101 m
Filters
Models
on sale all
Brands
(head) 
26 – 50 m 
Out of stock
3SDm
51 – 75 m 
Out of stock
3SDm
76 – 100 m 
Out of stock
3SDm
101 – 125 m 
Out of stock
3SDm
> 150 m 
Out of stock
3SDm
Questions and suggestions for model selection →