Guangdong, China
Business Type:
Manufacturer/Factory & Trading Company
Registered Capital:
2.96 Million USD
Management System Certification:
ISO9001:2008, ISO14001:2004, OHSAS18001:2007
OEM/ODM Service

Air Enthalpy Method Laboratory, Air Enthalpy, Air manufacturer / supplier in China, offering Air Enthalpy Method Laboratory Instruments, Psychrometric Air Conditioner Performance Test Equipment, Commercial Air Conditioner Integrated Laboratory and so on.

Gold Member Since 2010
Audited Supplier

Air Enthalpy Method Laboratory Instruments

Min. Order: 1 Set
Port: Shekou, China
Payment Terms: L/C, T/T

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This facility is used for measuring the capacity of Air-con by air enthalpy method with described by ISO 5151-2010 also measures various kinds of data including pressure and electrical properties of the Air-con. And it consists of indoor side (1 room), outdoor side (1 room), air handling unit, refrigerating machine, airflow meter, power panel, computer system and so on.

Testing items
Rated cooling capacity (T1, T2, T3).
Rated heating capacity(High, Low, Extra-low)
Dehumidification capacity
Input power

Ambient conditions control precision
All the indoor and outdoor dry bulb and wet bulb temperatures:
Precision: ± 0.1 ° C
Uncertainty: ± 0.2 ° C
Outdoor side relative humidity
Precision: ± 2%RH
Uncertainty: ± 3%RH
Air flower testing static pressure zeroing control
Precision: ± 0.5 Pa
Uncertainty: ± 0.5%(-50Pa~50Pa)
Air volume testing
Precision: ± 1.5%
Uncertainty: ± 1.5%
Measurement points data acquisition precision
Indoor side unit-under-test air outlet dry bulb temperature:
Uncertainty: ± 0.1° C (within 5~60° C)
Indoor side unit-under-test air outlet wet bulb temperature:
Uncertainty: ± 0.1° C (within 5~60° C)
Electric data of the sampler(voltage, ampere, wattage):
Uncertainty: ± 0.5%
Ambient atmospheric pressure:
Uncertainty: ± 0.5% (0~110kPa)
Thermocouple temperature:
Uncertainty: 0.5° C (50~150 ° C)
Note: All measurement uncertainties of sensors and transducers are expressed base on confidence level of 95% according to GUM, which normal distribute model is applied.

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