Product Introductions:
SolarShine's professional heat pump units are equiped with high standard and high quality components, which assure very high COP output. Our commercial heat pump unit power ranges from 3Hp-30Hp, heating output power from 11-110KW. Suitable for many types of large central water heating project for hotel room, school dormitory, factory dormitory, hospital, etc.
Features:
★High-efficiency, Up to around 80% energy saving, compared with conventional water heaters such as gas/oil boilers and electricity water heaters.
★Economical, less running cost, only consume a little energy for the compressor working.
★Eco-friendly,no exhaust gas, no waste water drain to harm environments.
★Powder coated steel plate cabinet ( stainless steel cabinet available).
★24 hours timer clock. No human attendance is required.
Model |
KGS-3 |
KGS-4 |
KGS-5-220 |
KGS-5-380 |
KGS-6.5 |
KGS-10 |
KGS-15 |
KGS-20 |
KGS-25 |
Heating power(KW) |
11 |
13 |
15.5 |
18 |
22 |
36 |
52 |
75 |
86 |
Input Power(KW) |
2.8 |
3.2 |
4.3 |
4.7 |
5.5 |
9.6 |
12.8 |
19.5 |
22 |
Hot Water capacity(L/H) |
245 |
290 |
350 |
400 |
500 |
815 |
995 |
1700 |
1950 |
Power Supply |
220/380V |
220/380V |
220V |
380V/3N/50Hz |
Rated water temperature(°C) |
55 |
Max Water Temperature |
60 |
Circulation fluid M³/H |
2-2.5 |
2.5-3 |
3-4 |
3-4 |
4-5 |
7-10 |
9-12 |
14-20 |
18-25 |
Compressor quantity(SET) |
1 |
1 |
1 |
1 |
1 |
2 |
2 |
4 |
4 |
Fan quantity(SET) |
1 |
1 |
1 |
1 |
1 |
2 |
2 |
2 |
2 |
Ext. Dimension (MM) |
L |
695 |
695 |
706 |
706 |
706 |
1450 |
1505 |
1800 |
2000 |
W |
655 |
655 |
786 |
786 |
786 |
705 |
905 |
1130 |
1100 |
H |
800 |
800 |
1000 |
1000 |
1000 |
1065 |
1570 |
2280 |
2280 |
N.W(KG) |
80 |
85 |
115 |
120 |
130 |
250 |
310 |
430 |
530 |
Refrigerant |
R22/R410/R407/R417 |
Connection |
DN25 |
DN40 |
DN50 |
DN65 |
* The heating capacity and COP data is refer to testing lab under standard condition of ambient dry-bulb temperature 20ºC, wet-bulb temperature 15ºC, heating water from 15ºC to 55ºC. COP is not a fixed value, but a dynamic data according to different climate and working condition.