Experimental data for an air-conditioning system identification
In this article, data from a 3.5kW mini split air conditioning is presented. A screening 23 design experiment was performed to evaluate the effects of indoor air temperature, absolute humidity and evaporator fan speed in the performance of the air conditioning. This dataset also includes noise facto...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2019-08-01
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| Series: | Data in Brief |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340919306705 |
| Summary: | In this article, data from a 3.5kW mini split air conditioning is presented. A screening 23 design experiment was performed to evaluate the effects of indoor air temperature, absolute humidity and evaporator fan speed in the performance of the air conditioning. This dataset also includes noise factors as outdoor air temperature, fans energy consumption and response as indoor air exit conditions. Keywords: Mini split, R410A, Design of experiment, Energy, Psychrometry, Refrigeration cycle |
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| ISSN: | 2352-3409 |