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

Kalibr NPCS-2.8/80-900

Photos - Deep Well Pump Kalibr NPCS-2.8/80-900
Outdated Product
Max. performance (L/h): 2800; Max. head (m): 80; Power consumption (W): 900; Country of origin: Russia;
Find prices on Amazon.uk
Find prices on eBay.uk
add to listmy lists
Kalibr NPCS [NPCS-2.8/80-900]
Kalibr NPCS-2.8/80-900
centrifugal
40 m
2.8 m³/h
48 m
3.6 m³/h
50 m
1.2 m³/h
50 m
1.5 m³/h
60 m
2.8 m³/h
60 m
5 m³/h
65 m
1.5 m³/h
65 m
1.8 m³/h
80 m
2.8 m³/h
80 m
3.8 m³/h
100 m
1.5 m³/h
100 m
1.8 m³/h
Main
Max. performance2800 L/h / maximum /
Max. head80 m / maximum /
Specs
Operating principlecentrifugal
Max. immersion depth60 m
Max. particle size0.5 mm
Suction systemmultistage
Oulet size1"
Max. liquid T40 °С
Motor
Power consumption900 W
Mains voltage230 V
Power cable length50 m
General specs
Country of originRussia
Impeller materialstainless steel
Weight15 kg
Added to E-Catalogdecember 2018
Information in model description is for reference purposes.
Before buying always check characteristics and configuration of product with online store manager
Catalog Kalibr 2025 - new products, best sales and most actual models Kalibr.
AccessoriesAll accessories for Kalibr NPCS-2.8/80-900 →
We recommend
Metabo TBP
from £329.49 
6200 L/h, 1100 W, 55 m
Grundfos SQE
from £1,900.00 
5000 L/h, 1850 W, 73 m
Karcher BP
from £472.43 
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 £397.49 
5500 / 6000 L/h, 850 / 950 W, 45 / 50 m
Pedrollo 4SR
from £302.28 
3600 - 22500 L/h, 750 - 4000 W, 42 - 135 m
Pedrollo 4Block
from £470.00 
9000 L/h, 550 W, 27 m
Pedrollo 6SR
from £1,614.39 
19800 - 60000 L/h, 5500 - 22000 W, 58 - 390 m
Nasosy plus 75SWS
from £151.50 
3000 L/h, 700 W, 54 m
Hillvert HT-ROBSON
from £119.00 
3000 - 9000 L/h, 550 - 2200 W, 54 - 101 m
Filters
Models
on sale all
Brands
(head) 
26 – 50 m 
Out of stock
NPCS
51 – 75 m 
Out of stock
NPCS
76 – 100 m 
Out of stock
NPCS
Questions and suggestions for model selection →