Dark mode
only avrin all categories
only avr
United Kingdom

Shtil InStab IS7000 7 kVA / 5500 W

Photos - AVR Shtil InStab IS7000 7 kVA / 5500 W
Photos 6
Outdated Product
AVR type: double conversion; Input voltage: 230V (1 phase); Power (W): 5500; Power (kVA): 7; Input voltage (V): 90 – 310; Output voltage accuracy (±), %: 2; Efficiency (%): 97; Dimensions (mm): 353x366x104; Weight (kg): 9;
Find prices on Amazon.uk
Find prices on eBay.uk
add to listmy lists
Shtil InStab IS7000 7 kVA / 5500 W
5 kVA / 4500 W
7 kVA / 5500 W
accurateLC-filterwall
Type:inverter
Power:7 kVA, active 5500 W
Input voltage:90 – 310 V
Efficiency:97 %
Output accuracy (±):2 %
Cooling:active
Mount:wall, floor
Bypass mode
All specifications
Specifications InStab IS7000
Main
AVR typedouble conversion
Input voltage230V (1 phase)
Power5500 W
Power7 kVA
Specs
Input voltage range90 – 310 V
Output voltage accuracy (±)2 %
Efficiency97 %
Voltmeterdigital
Sockets
Terminal connection
Protection levels
Protectionoverheating
high frequency interference
short circuit
overload
over / under voltage
General
Installationwall
floor
Coolingactive
IP protection rating20
Dimensions353x366x104 mm
Weight9 kg
Added to E-Catalogmay 2019
Information in model description is for reference purposes.
Before buying always check characteristics and configuration of product with online store manager
Catalog Shtil 2024 - new products, best sales and most actual models Shtil.
How to choose a surge protectorWe consider from different angles the issues of protecting household appliances from too high or low voltage
We recommendCompare using chart →
PowerWalker AVR 2000/SIV
from £79.96 
relay, 2 kVA, 1600 W, Efficiency 95 %, voltage: 110-280 V, accuracy: 10 %, LC-filter
PowerWalker AVR 600
from £31.49 
wall, relay, 0.6 kVA, 360 W, voltage: 180-264 V, accuracy: 8 %
EnerGenie EG-AVR-1001
from £27.49 
relay, 1 kVA, 600 W, Efficiency 98 %, voltage: 140-270 V, accuracy: 8 %
Filters
Models
on sale all
Brands
(avr type) 
double conversion 
Out of stock
InStab IS7000
Questions and suggestions for model selection →